About Coalfire Coalfire is on a mission to make the world a safer place by solving our clients' hardest cybersecurity challenges. We work at the cutting edge of technology to advise, assess, automate, and ultimately help companies navigate the ever-changing cybersecurity landscape. We are headquartered in Chicago, Illinois with offices across the U.S. and U.K., and we support clients around the world. But that's not who we are - that's just what we do. We are thought leaders, consultants, and cybersecurity experts, but above all else, we are a team of passionate problem-solvers who are hungry to learn, grow, and make a difference. About Coalfire Coalfire is on a mission to make the world a safer place by solving our clients' hardest cybersecurity challenges. We work at the cutting edge of technology to advise, assess, automate, and ultimately help companies navigate the ever-changing cybersecurity landscape. We are headquartered in Chicago, Illinois with offices across the U.S. and U.K., and we support clients around the world. But that's not who we are - that's just what we do. We are thought leaders, consultants, and cybersecurity experts, but above all else, we are a team of passionate problem-solvers who are hungry to learn, grow, and make a difference. Position Summary We are seeking motivated and enthusiastic New Grad Associates to join the team at Coalfire! In this entry-level role, you will gain hands-on technical experience in cybersecurity, while contributing to real-world projects and making an impact. This is an excellent opportunity for recent graduates with a passion for cybersecurity and a desire to develop their skills in a dynamic environment. Most of our employees are working remotely, however, depending on your preference and location in proximity to one of our offices, this role can be a remote or hybrid position if you would like. We are targeting students graduating between December 2026 and June 2027. We are looking for passionate professionals with the academic and practical experience, along with the drive, acumen, and aptitude, to support our Division Hex - Pen Testing team. Learn more about Division Hex at What You'll Do Conduct network, web, mobile application penetration testing, code reviews, social engineering, red team engagements, and physical security assessments. Conduct security assessments on a wide variety of technologies and implementations. Advise clients on technical security or compliance activities. Collaborate with project managers, quality management, sales and other delivery team members to drive customer satisfaction and meet project deliverables. Contribute to the Coalfire Division Hex Penetration Testing Team overall success by helping the team to meet various business objectives and metrics. $63,000 - $105,000 a year The salary range listed is a reasonable estimate of the compensation range for this role based on national salary averages. The actual salary offer to the successful candidate will be based on job-related education, geographic location, training, licensure and certifications and other factors. You may also be eligible to participate in annual incentive, commission, and/or recognition programs. Why You'll Want to Join Us At Coalfire, you'll find the support you need to thrive personally and professionally. In many cases, we provide a flexible work model that empowers you to choose when and where you'll work most effectively - whether you're at home or an office. Regardless of location, you'll experience a company that prioritizes connection and wellbeing and be part of a team where people care about each other and our communities. You'll have opportunities to join employee resource groups, participate in in-person and virtual events, and more. And you'll enjoy competitive perks and benefits to support you and your family, like paid parental leave, flexible time off, certification and training reimbursement, digital mental health and wellbeing support membership, and comprehensive insurance options. At Coalfire, equal opportunity and pay equity is integral to the way we do business. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Coalfire is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation to participate in the job application or interview process, contact our Human Resources team at .
09/23/2026
Full time
About Coalfire Coalfire is on a mission to make the world a safer place by solving our clients' hardest cybersecurity challenges. We work at the cutting edge of technology to advise, assess, automate, and ultimately help companies navigate the ever-changing cybersecurity landscape. We are headquartered in Chicago, Illinois with offices across the U.S. and U.K., and we support clients around the world. But that's not who we are - that's just what we do. We are thought leaders, consultants, and cybersecurity experts, but above all else, we are a team of passionate problem-solvers who are hungry to learn, grow, and make a difference. About Coalfire Coalfire is on a mission to make the world a safer place by solving our clients' hardest cybersecurity challenges. We work at the cutting edge of technology to advise, assess, automate, and ultimately help companies navigate the ever-changing cybersecurity landscape. We are headquartered in Chicago, Illinois with offices across the U.S. and U.K., and we support clients around the world. But that's not who we are - that's just what we do. We are thought leaders, consultants, and cybersecurity experts, but above all else, we are a team of passionate problem-solvers who are hungry to learn, grow, and make a difference. Position Summary We are seeking motivated and enthusiastic New Grad Associates to join the team at Coalfire! In this entry-level role, you will gain hands-on technical experience in cybersecurity, while contributing to real-world projects and making an impact. This is an excellent opportunity for recent graduates with a passion for cybersecurity and a desire to develop their skills in a dynamic environment. Most of our employees are working remotely, however, depending on your preference and location in proximity to one of our offices, this role can be a remote or hybrid position if you would like. We are targeting students graduating between December 2026 and June 2027. We are looking for passionate professionals with the academic and practical experience, along with the drive, acumen, and aptitude, to support our Division Hex - Pen Testing team. Learn more about Division Hex at What You'll Do Conduct network, web, mobile application penetration testing, code reviews, social engineering, red team engagements, and physical security assessments. Conduct security assessments on a wide variety of technologies and implementations. Advise clients on technical security or compliance activities. Collaborate with project managers, quality management, sales and other delivery team members to drive customer satisfaction and meet project deliverables. Contribute to the Coalfire Division Hex Penetration Testing Team overall success by helping the team to meet various business objectives and metrics. $63,000 - $105,000 a year The salary range listed is a reasonable estimate of the compensation range for this role based on national salary averages. The actual salary offer to the successful candidate will be based on job-related education, geographic location, training, licensure and certifications and other factors. You may also be eligible to participate in annual incentive, commission, and/or recognition programs. Why You'll Want to Join Us At Coalfire, you'll find the support you need to thrive personally and professionally. In many cases, we provide a flexible work model that empowers you to choose when and where you'll work most effectively - whether you're at home or an office. Regardless of location, you'll experience a company that prioritizes connection and wellbeing and be part of a team where people care about each other and our communities. You'll have opportunities to join employee resource groups, participate in in-person and virtual events, and more. And you'll enjoy competitive perks and benefits to support you and your family, like paid parental leave, flexible time off, certification and training reimbursement, digital mental health and wellbeing support membership, and comprehensive insurance options. At Coalfire, equal opportunity and pay equity is integral to the way we do business. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Coalfire is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation to participate in the job application or interview process, contact our Human Resources team at .
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Senior Oracle EPM Financial Consolidation and Close (FCCS) Production Support Specialist (REMOTE) to join our team! This is a fully remote role and can be based anywhere in the US. We are seeking an experienced Oracle EDMCS professional to lead the implementation, maintenance, and governance of enterprise metadata and master data management solutions. You will ensure that hierarchies, dimensions, and reference data remain accurate, synchronized, and well-controlled across Oracle EPM, ERP, and downstream third-party applications. This role partners with Finance, Accounting, and IT stakeholders to support, enhance, and optimize existing financial systems and integrations. Job Responsibilities Include: Provide day-to-day functional and technical support for Oracle Financial Consolidation and Close (FCCS), including metadata management, consolidation rules, workflows, and process monitoring. Configure core EDMCS components including Node Types, Node Sets, Viewpoints, Hierarchies, and Property Definitions Design scalable organizational data structures for the Chart of Accounts (COA), Cost Centers, Departments, Legal Entities, and Product Hierarchies Set up integrations and data synchronization between EDMCS and Oracle Cloud applications (such as FCCS, Planning/Freeform, and ERP Cloud) Maintain and enhance ERP, EPM , Custom applications scenarios, entities, accounts, and intercompany structures. Define and manage metadata approval workflows, request interfaces, and change control mechanisms. Establish business validation rules, derivations, and subscriptions to automate and control data changes. Maintain system security, access controls, and granular role assignments Troubleshoot consolidation issues, data discrepancies, and financial reporting variances across source systems. Manage system operations related to the close process, including running consolidations, translations, calculations, and validations. Collaborate with IT, data engineering, and application owners during integration projects, upgrades, and system migrations. Serve as a subject matter expert (SME) on EDMCS functionality and work with stakeholder for any BAU changes Ensure reporting aligns with corporate accounting policies, financial structures, and audit requirements. Provide user training, guidance, and support for change request submission and hierarchy management. Document issues, enhancements, and process changes following ITIL standards (ServiceNow or similar). Support internal and external audit activities through documentation, controls, and system evidence. Recommend technology and process improvements that enhance financial operations efficiency. Work with cross functional teams to automate manual financial workflows using the appropriate tools. Identify opportunities to optimize metadata structures, automation, and data governance workflows. Basic Qualifications: 5-8+ years of experience in Oracle EPM/ERP, with hands-on expertise specifically in Oracle EDMCS. 5+ years of experience supporting Oracle FCCS and/or Hyperion Financial Management. 3-5 years of experience with data exchange/FDMEE/FDM data integrations. 3-5 years of strong understanding of financial accounting, consolidations, intercompany eliminations, FX translation, and period-close processes. + 5 years of experience with Oracle Cloud Narrative Reporting/Reports and/or Financial Reporting Studio Web +5 years of experience with Oracle Smart View (creating new reports, supporting ad hoc, break fix, etc.) 5+ years of Experience managing hierarchies, dimensions, and metadata governance processes. 5+ years of Hands-on experience configuring integrations, exports/imports, and connections to source/target systems. Preferred Skills: Strong knowledge of automation using Oracle EPMAutomate. Strong analytical, documentation, and problem solving skills. Highly organized and detail oriented. Strong communicator able to partner effectively with Finance, IT, and business stakeholders. Adaptable and proactive, with a continuous improvement mindset. Comfortable managing multiple priorities in a dynamic environment. Experience with Oracle ERP Cloud, data warehouses, OCI, Oracle API Gateway. Basic understanding on Oracle ARCS, ,FreeForm, TRCS products knowledge. Experience in the Banking sector is preferred. Ability to write Groovy rules, REST API calls, or SQL is preferred. Oracle EPM Cloud EDMCS certification is preferred. NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $123,210 - $205,350 per annum. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits. About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
09/23/2026
Full time
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Senior Oracle EPM Financial Consolidation and Close (FCCS) Production Support Specialist (REMOTE) to join our team! This is a fully remote role and can be based anywhere in the US. We are seeking an experienced Oracle EDMCS professional to lead the implementation, maintenance, and governance of enterprise metadata and master data management solutions. You will ensure that hierarchies, dimensions, and reference data remain accurate, synchronized, and well-controlled across Oracle EPM, ERP, and downstream third-party applications. This role partners with Finance, Accounting, and IT stakeholders to support, enhance, and optimize existing financial systems and integrations. Job Responsibilities Include: Provide day-to-day functional and technical support for Oracle Financial Consolidation and Close (FCCS), including metadata management, consolidation rules, workflows, and process monitoring. Configure core EDMCS components including Node Types, Node Sets, Viewpoints, Hierarchies, and Property Definitions Design scalable organizational data structures for the Chart of Accounts (COA), Cost Centers, Departments, Legal Entities, and Product Hierarchies Set up integrations and data synchronization between EDMCS and Oracle Cloud applications (such as FCCS, Planning/Freeform, and ERP Cloud) Maintain and enhance ERP, EPM , Custom applications scenarios, entities, accounts, and intercompany structures. Define and manage metadata approval workflows, request interfaces, and change control mechanisms. Establish business validation rules, derivations, and subscriptions to automate and control data changes. Maintain system security, access controls, and granular role assignments Troubleshoot consolidation issues, data discrepancies, and financial reporting variances across source systems. Manage system operations related to the close process, including running consolidations, translations, calculations, and validations. Collaborate with IT, data engineering, and application owners during integration projects, upgrades, and system migrations. Serve as a subject matter expert (SME) on EDMCS functionality and work with stakeholder for any BAU changes Ensure reporting aligns with corporate accounting policies, financial structures, and audit requirements. Provide user training, guidance, and support for change request submission and hierarchy management. Document issues, enhancements, and process changes following ITIL standards (ServiceNow or similar). Support internal and external audit activities through documentation, controls, and system evidence. Recommend technology and process improvements that enhance financial operations efficiency. Work with cross functional teams to automate manual financial workflows using the appropriate tools. Identify opportunities to optimize metadata structures, automation, and data governance workflows. Basic Qualifications: 5-8+ years of experience in Oracle EPM/ERP, with hands-on expertise specifically in Oracle EDMCS. 5+ years of experience supporting Oracle FCCS and/or Hyperion Financial Management. 3-5 years of experience with data exchange/FDMEE/FDM data integrations. 3-5 years of strong understanding of financial accounting, consolidations, intercompany eliminations, FX translation, and period-close processes. + 5 years of experience with Oracle Cloud Narrative Reporting/Reports and/or Financial Reporting Studio Web +5 years of experience with Oracle Smart View (creating new reports, supporting ad hoc, break fix, etc.) 5+ years of Experience managing hierarchies, dimensions, and metadata governance processes. 5+ years of Hands-on experience configuring integrations, exports/imports, and connections to source/target systems. Preferred Skills: Strong knowledge of automation using Oracle EPMAutomate. Strong analytical, documentation, and problem solving skills. Highly organized and detail oriented. Strong communicator able to partner effectively with Finance, IT, and business stakeholders. Adaptable and proactive, with a continuous improvement mindset. Comfortable managing multiple priorities in a dynamic environment. Experience with Oracle ERP Cloud, data warehouses, OCI, Oracle API Gateway. Basic understanding on Oracle ARCS, ,FreeForm, TRCS products knowledge. Experience in the Banking sector is preferred. Ability to write Groovy rules, REST API calls, or SQL is preferred. Oracle EPM Cloud EDMCS certification is preferred. NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $123,210 - $205,350 per annum. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance. This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits. About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
At Sword, we're building AI to heal billions and unlock humanity's full potential. In doing so, we're pioneering AI Care, a fundamentally new approach to healthcare built for medical reasoning, safety, and real-time treatment, not generic technology applied after the fact. As both a clinical-centric frontier AI lab and an applied AI platform, Sword is reimagining how care is delivered at scale, removing traditional barriers like appointments, waiting rooms, and stigma so more people can access the care they need-and ultimately get back to lives lived in full. Since 2020, Sword has expanded across physical therapy, women's health, cardiometabolic, and mental health, and is now moving beyond the session to a fully AI-native, 24/7 care program that brings physical activity, therapeutic exercise, psychotherapy, nutrition, and behavior change into one connected experience. More than 700,000 members across three continents have completed over 10 million AI sessions, helping 1,000+ enterprise clients avoid more than $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies, 44+ patents, and more than $500 million raised from leading investors including Khosla Ventures, General Catalyst, and Founders Fund, Sword is defining a new standard for healthcare. AI Proficiency at Sword AI fluency is a core expectation at Sword. Every candidate is assessed against our three-level framework - be ready to share real examples of how AI is already part of how you work. Explorer (Level 1) - Uses AI daily to boost personal productivity Builder (Level 2) - Creates workflows and tools that elevate the whole team Integrator (Level 3) - Embeds AI into products and processes at scale Every hire must demonstrate at least Level 1. The expected level will vary depending on the seniority of the role. Role Pulse is Sword Health's cardiometabolic program - an AI-first, clinician-backed experience that members stay with for months, not days. We're looking for a Head of Product to own it end to end: the roadmap, the AI experience, and the engagement engine that keeps members coming back. This is a builder's seat, not a caretaker's. You'll take features from zero to one and then scale them to hundreds of thousands of members, designing agentic and conversational experiences on top of frontier models - and the eval frameworks that prove they're safe, accurate, and actually working. You'll own the metrics that matter (activation, engagement, retention, clinical outcomes) and partner closely with clinical, ML, design, and commercial teams to move them. What you'll be doing Product Strategy & Execution Own the product roadmap from pre-launch through scale, balancing zero-to-one innovation with one-to-100 optimization. Define and prioritize features that drive member engagement, retention, and clinical outcomes across 4-12 month care journeys. Establish clear product metrics, success criteria, and feedback loops to rapidly iterate and improve the member experience. Partner with clinical, regulatory, and compliance teams to ensure product decisions meet healthcare standards while maintaining innovation velocity. AI Product Leadership Design AI-first product experiences that leverage agentic capabilities, conversational interfaces, and personalized recommendations to deliver exceptional consumer value. Develop and implement evaluation frameworks (evals) to measure AI model performance, accuracy, safety, and member satisfaction. Maintain deep understanding of available AI models (LLMs, fine-tuning approaches) and make strategic decisions about which models to use for which use cases. Collaborate with clinical, ML engineering and applied AI teams to ensure safety and quality and optimize model performance, latency, cost, and reliability in production. Leverage AI tools throughout the product development lifecycle to accelerate research, prototyping, testing, and go-to-market preparation. Stay current on AI capabilities and emerging techniques, continuously evaluating how new developments can enhance the member experience. Growth Build and execute strategies to drive member activation, and long-term retention in both B2C and B2B2C contexts. Design onboarding experiences, engagement loops, and re-engagement strategies optimized for sustained behavior change. Analyze member behavior, drop-off points, and engagement patterns to identify opportunities for product improvement. Partner with growth, marketing, and commercial teams to align product experience with go-to-market strategy. Develop hypotheses and run experiments to continuously improve conversion, engagement, and retention metrics. Cross-Functional Leadership & Communication Serve as the product voice in executive discussions, client presentations, and sales cycles. Translate complex AI product concepts into compelling narratives for non-technical stakeholders, including clinical teams, executives, and clients. Collaborate with engineering, design, data science, clinical operations, and commercial teams to align on priorities and drive execution. Build strong relationships with key stakeholders across the organization to ensure the product has the support and resources needed to succeed. What you need to have 6-8 years of product management experience, with at least 3 years focused on AI products or consumer-facing digital health products. Proven track record launching 0-to-1 products and scaling them to significant user bases (one-to-100). Deep experience with AI-first product development, including working with LLMs, designing agentic experiences, and building evaluation frameworks. Strong product sense for consumer experiences, particularly in products requiring sustained engagement over 4-12 month time horizons. Experience in B2C or consumer tech companies, with demonstrated expertise in growth, activation, and retention strategies. Nuanced understanding of different AI models, their capabilities and limitations, and how to maximize value from them in production. Comfort with ambiguity and ability to make decisions quickly with incomplete information. Excellent communication skills with ability to influence cross-functional teams and present to executive audiences. What we would love to see Experience at high-growth startups where you've navigated rapid scaling and shifting priorities. Track record of leveraging AI tools (coding assistants, generative AI for research, automated testing) to accelerate product development timelines. Technical background or strong ability to collaborate deeply with engineering teams on AI implementation details. Experience designing products for both direct consumer and enterprise/B2B2C distribution models. The range below reflects base, variable, and equity for this role. This is a starting point, not a ceiling - once someone joins and proves they're outlier talent, we adjust quickly to make sure their compensation matches their impact. Job titles may span more than one career level, so actual pay depends on skills, qualifications, experience, location, and market demand, among other factors. The range reflects base salary plus any variable, bonus, or sales incentives, and our estimate of the value of private company stock options where applicable. It's subject to change, and future stock value isn't guaranteed. Sword also offers additional benefits beyond total compensation. Total Compensation Range $278,850-$359,350 USD Country-specific benefits may vary and will be detailed separately. Sword Health complies with applicable Federal and State civil rights laws and does not discriminate on the basis of Age, Ancestry, Color, Citizenship, Gender, Gender expression, Gender identity, Gender information, Marital status, Medical condition, National origin, Physical or mental disability, Pregnancy, Race, Religion, Caste, Sexual orientation, and Veteran status.
09/23/2026
Full time
At Sword, we're building AI to heal billions and unlock humanity's full potential. In doing so, we're pioneering AI Care, a fundamentally new approach to healthcare built for medical reasoning, safety, and real-time treatment, not generic technology applied after the fact. As both a clinical-centric frontier AI lab and an applied AI platform, Sword is reimagining how care is delivered at scale, removing traditional barriers like appointments, waiting rooms, and stigma so more people can access the care they need-and ultimately get back to lives lived in full. Since 2020, Sword has expanded across physical therapy, women's health, cardiometabolic, and mental health, and is now moving beyond the session to a fully AI-native, 24/7 care program that brings physical activity, therapeutic exercise, psychotherapy, nutrition, and behavior change into one connected experience. More than 700,000 members across three continents have completed over 10 million AI sessions, helping 1,000+ enterprise clients avoid more than $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies, 44+ patents, and more than $500 million raised from leading investors including Khosla Ventures, General Catalyst, and Founders Fund, Sword is defining a new standard for healthcare. AI Proficiency at Sword AI fluency is a core expectation at Sword. Every candidate is assessed against our three-level framework - be ready to share real examples of how AI is already part of how you work. Explorer (Level 1) - Uses AI daily to boost personal productivity Builder (Level 2) - Creates workflows and tools that elevate the whole team Integrator (Level 3) - Embeds AI into products and processes at scale Every hire must demonstrate at least Level 1. The expected level will vary depending on the seniority of the role. Role Pulse is Sword Health's cardiometabolic program - an AI-first, clinician-backed experience that members stay with for months, not days. We're looking for a Head of Product to own it end to end: the roadmap, the AI experience, and the engagement engine that keeps members coming back. This is a builder's seat, not a caretaker's. You'll take features from zero to one and then scale them to hundreds of thousands of members, designing agentic and conversational experiences on top of frontier models - and the eval frameworks that prove they're safe, accurate, and actually working. You'll own the metrics that matter (activation, engagement, retention, clinical outcomes) and partner closely with clinical, ML, design, and commercial teams to move them. What you'll be doing Product Strategy & Execution Own the product roadmap from pre-launch through scale, balancing zero-to-one innovation with one-to-100 optimization. Define and prioritize features that drive member engagement, retention, and clinical outcomes across 4-12 month care journeys. Establish clear product metrics, success criteria, and feedback loops to rapidly iterate and improve the member experience. Partner with clinical, regulatory, and compliance teams to ensure product decisions meet healthcare standards while maintaining innovation velocity. AI Product Leadership Design AI-first product experiences that leverage agentic capabilities, conversational interfaces, and personalized recommendations to deliver exceptional consumer value. Develop and implement evaluation frameworks (evals) to measure AI model performance, accuracy, safety, and member satisfaction. Maintain deep understanding of available AI models (LLMs, fine-tuning approaches) and make strategic decisions about which models to use for which use cases. Collaborate with clinical, ML engineering and applied AI teams to ensure safety and quality and optimize model performance, latency, cost, and reliability in production. Leverage AI tools throughout the product development lifecycle to accelerate research, prototyping, testing, and go-to-market preparation. Stay current on AI capabilities and emerging techniques, continuously evaluating how new developments can enhance the member experience. Growth Build and execute strategies to drive member activation, and long-term retention in both B2C and B2B2C contexts. Design onboarding experiences, engagement loops, and re-engagement strategies optimized for sustained behavior change. Analyze member behavior, drop-off points, and engagement patterns to identify opportunities for product improvement. Partner with growth, marketing, and commercial teams to align product experience with go-to-market strategy. Develop hypotheses and run experiments to continuously improve conversion, engagement, and retention metrics. Cross-Functional Leadership & Communication Serve as the product voice in executive discussions, client presentations, and sales cycles. Translate complex AI product concepts into compelling narratives for non-technical stakeholders, including clinical teams, executives, and clients. Collaborate with engineering, design, data science, clinical operations, and commercial teams to align on priorities and drive execution. Build strong relationships with key stakeholders across the organization to ensure the product has the support and resources needed to succeed. What you need to have 6-8 years of product management experience, with at least 3 years focused on AI products or consumer-facing digital health products. Proven track record launching 0-to-1 products and scaling them to significant user bases (one-to-100). Deep experience with AI-first product development, including working with LLMs, designing agentic experiences, and building evaluation frameworks. Strong product sense for consumer experiences, particularly in products requiring sustained engagement over 4-12 month time horizons. Experience in B2C or consumer tech companies, with demonstrated expertise in growth, activation, and retention strategies. Nuanced understanding of different AI models, their capabilities and limitations, and how to maximize value from them in production. Comfort with ambiguity and ability to make decisions quickly with incomplete information. Excellent communication skills with ability to influence cross-functional teams and present to executive audiences. What we would love to see Experience at high-growth startups where you've navigated rapid scaling and shifting priorities. Track record of leveraging AI tools (coding assistants, generative AI for research, automated testing) to accelerate product development timelines. Technical background or strong ability to collaborate deeply with engineering teams on AI implementation details. Experience designing products for both direct consumer and enterprise/B2B2C distribution models. The range below reflects base, variable, and equity for this role. This is a starting point, not a ceiling - once someone joins and proves they're outlier talent, we adjust quickly to make sure their compensation matches their impact. Job titles may span more than one career level, so actual pay depends on skills, qualifications, experience, location, and market demand, among other factors. The range reflects base salary plus any variable, bonus, or sales incentives, and our estimate of the value of private company stock options where applicable. It's subject to change, and future stock value isn't guaranteed. Sword also offers additional benefits beyond total compensation. Total Compensation Range $278,850-$359,350 USD Country-specific benefits may vary and will be detailed separately. Sword Health complies with applicable Federal and State civil rights laws and does not discriminate on the basis of Age, Ancestry, Color, Citizenship, Gender, Gender expression, Gender identity, Gender information, Marital status, Medical condition, National origin, Physical or mental disability, Pregnancy, Race, Religion, Caste, Sexual orientation, and Veteran status.
Why work for DreamHost? We help people own their digital presence. It's not just wishful thinking. It's our noble cause - an idea that drives everything we do. When you put your dreams online-your words, your photos, your creations-you shouldn't have to worry about your service provider mining that data for marketing purposes. Those are your dreams - not ours! DreamHost's open platform gives you the power to share your data and the freedom to control how it's used. Working for DreamHost you can be a steward of your own career. We invest in our people, we promote from within the organization when possible and we offer extensive training to aid in your success. In this role, we offer competitive salary, health, vision, and dental insurance, as well as a company-issued laptop, 401k, opportunities for growth, and much much more! We are proud to be a US employer with a fantastic culture and the ability to offer so much to our employees. Benefits Offered Full health/vision/dental for the entire family at zero cost to team member 3% Safe Harbor contributed to 401(k) plus up to 1% employer match Opportunities for profit sharing and bonuses Generous time-off (starting at 15 vacation days) 11 Paid holidays (Technical Support and Technical Operations use a floating holiday policy) Paid sick leave (80 hours accrued) Tuition reimbursement (50/50 up to a specific amount) Pet Insurance Thrive Pass wellness allowance of $30 per month Udemy online learning courses Disability Insurance Generous maternity/paternity leave Discounted personal travel through corporate booking program Egencia Laid-back atmosphere Fun monthly company events Free web hosting Overview The Delivery Systems Administrator is responsible for administering, optimizing, and continuously improving the systems that support organizational delivery. Working directly with the Head of Delivery, this role ensures the organization's delivery platform remains scalable, intuitive, and aligned with the company's delivery operating model. This role combines deep platform expertise, automation, AI enablement, and systems thinking to improve how work is planned, executed, measured, and reported. The ideal candidate is an expert ClickUp administrator who enjoys building scalable systems, simplifying complex workflows, and enabling teams to work more effectively. Responsibilities Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the role. Delivery Platform Administration Serve as the primary administrator and technical expert for the organization's delivery platform, with deep expertise in ClickUp. Design, configure, and maintain platform architecture, including hierarchy, custom fields, templates, dashboards, forms, permissions, views, and relationships. Maintain platform governance, documentation, standards, and overall system health. Partner with the Head of Delivery to implement platform enhancements that support the organization's delivery operating model. Evaluate new platform capabilities and recommend improvements that increase usability, scalability, and organizational effectiveness. Automation & AI Design, implement, and maintain workflow automations that reduce manual effort and improve consistency. Build and maintain AI Agents, Skills, and AI-assisted workflows. Identify opportunities to simplify operational processes through automation and intelligent workflows. Develop and maintain integrations between ClickUp and other business systems as needed. Research emerging AI and automation capabilities and recommend practical applications for the organization. Operational Enablement Build executive dashboards and operational reporting that provide meaningful visibility into delivery performance. Maintain accurate, consistent, and well-governed operational data that supports reporting and decision-making. Translate operational requirements into scalable platform configurations and workflow improvements. Partner with Delivery Leads and business stakeholders to improve delivery workflows, reporting, and system adoption. Continuously identify opportunities to improve organizational execution through better tooling, automation, and operational practices. Requirements Extensive experience administering ClickUp in a medium or large organization. Expert knowledge of ClickUp architecture, including hierarchy, dashboards, automations, custom fields, permissions, templates, forms, relationships, and reporting. Experience designing workflow automations, AI Agents, Skills, and system integrations. Strong systems thinking with the ability to design scalable operational workflows and improve business processes. Experience developing executive dashboards and using operational data to drive decision-making. Excellent organizational, analytical, and documentation skills. Ability to translate business requirements into scalable technical solutions while managing multiple priorities independently. Preferred Experience supporting Delivery, PMO, Product Operations, Business Operations, or Program Management organizations. Experience integrating ClickUp with third-party platforms using APIs or automation tools. Familiarity with Agile software development and portfolio management. Experience with SQL, scripting, business intelligence platforms, or advanced reporting tools. Experience implementing AI-enabled operational processes. Compensation $70,000-$90,000 / yearly DreamHost provides equal employment opportunities to all team members and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
09/23/2026
Full time
Why work for DreamHost? We help people own their digital presence. It's not just wishful thinking. It's our noble cause - an idea that drives everything we do. When you put your dreams online-your words, your photos, your creations-you shouldn't have to worry about your service provider mining that data for marketing purposes. Those are your dreams - not ours! DreamHost's open platform gives you the power to share your data and the freedom to control how it's used. Working for DreamHost you can be a steward of your own career. We invest in our people, we promote from within the organization when possible and we offer extensive training to aid in your success. In this role, we offer competitive salary, health, vision, and dental insurance, as well as a company-issued laptop, 401k, opportunities for growth, and much much more! We are proud to be a US employer with a fantastic culture and the ability to offer so much to our employees. Benefits Offered Full health/vision/dental for the entire family at zero cost to team member 3% Safe Harbor contributed to 401(k) plus up to 1% employer match Opportunities for profit sharing and bonuses Generous time-off (starting at 15 vacation days) 11 Paid holidays (Technical Support and Technical Operations use a floating holiday policy) Paid sick leave (80 hours accrued) Tuition reimbursement (50/50 up to a specific amount) Pet Insurance Thrive Pass wellness allowance of $30 per month Udemy online learning courses Disability Insurance Generous maternity/paternity leave Discounted personal travel through corporate booking program Egencia Laid-back atmosphere Fun monthly company events Free web hosting Overview The Delivery Systems Administrator is responsible for administering, optimizing, and continuously improving the systems that support organizational delivery. Working directly with the Head of Delivery, this role ensures the organization's delivery platform remains scalable, intuitive, and aligned with the company's delivery operating model. This role combines deep platform expertise, automation, AI enablement, and systems thinking to improve how work is planned, executed, measured, and reported. The ideal candidate is an expert ClickUp administrator who enjoys building scalable systems, simplifying complex workflows, and enabling teams to work more effectively. Responsibilities Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the role. Delivery Platform Administration Serve as the primary administrator and technical expert for the organization's delivery platform, with deep expertise in ClickUp. Design, configure, and maintain platform architecture, including hierarchy, custom fields, templates, dashboards, forms, permissions, views, and relationships. Maintain platform governance, documentation, standards, and overall system health. Partner with the Head of Delivery to implement platform enhancements that support the organization's delivery operating model. Evaluate new platform capabilities and recommend improvements that increase usability, scalability, and organizational effectiveness. Automation & AI Design, implement, and maintain workflow automations that reduce manual effort and improve consistency. Build and maintain AI Agents, Skills, and AI-assisted workflows. Identify opportunities to simplify operational processes through automation and intelligent workflows. Develop and maintain integrations between ClickUp and other business systems as needed. Research emerging AI and automation capabilities and recommend practical applications for the organization. Operational Enablement Build executive dashboards and operational reporting that provide meaningful visibility into delivery performance. Maintain accurate, consistent, and well-governed operational data that supports reporting and decision-making. Translate operational requirements into scalable platform configurations and workflow improvements. Partner with Delivery Leads and business stakeholders to improve delivery workflows, reporting, and system adoption. Continuously identify opportunities to improve organizational execution through better tooling, automation, and operational practices. Requirements Extensive experience administering ClickUp in a medium or large organization. Expert knowledge of ClickUp architecture, including hierarchy, dashboards, automations, custom fields, permissions, templates, forms, relationships, and reporting. Experience designing workflow automations, AI Agents, Skills, and system integrations. Strong systems thinking with the ability to design scalable operational workflows and improve business processes. Experience developing executive dashboards and using operational data to drive decision-making. Excellent organizational, analytical, and documentation skills. Ability to translate business requirements into scalable technical solutions while managing multiple priorities independently. Preferred Experience supporting Delivery, PMO, Product Operations, Business Operations, or Program Management organizations. Experience integrating ClickUp with third-party platforms using APIs or automation tools. Familiarity with Agile software development and portfolio management. Experience with SQL, scripting, business intelligence platforms, or advanced reporting tools. Experience implementing AI-enabled operational processes. Compensation $70,000-$90,000 / yearly DreamHost provides equal employment opportunities to all team members and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
The work we do has an impact on millions of lives, and you can be a part of it. We help protect our customers against life's uncertainties. Regardless of where you work within the company, you'll be helping provide protection and peace of mind when our customers need it most. Protective is looking for a Lead Data Engineer to set the technical direction for a delivery pod building data products on Voyager, our Databricks lakehouse on Azure. You will lead the design of data products through the full medallion architecture - Bronze ingestion, Silver conformance, and Gold consumption - and be accountable for whether those products hold up for the consumers who depend on them. This is a hands-on technical leadership role, not a people-management or project-management role. You will still write and review production code daily. What you own is how the pod's data products are designed, modeled, contracted, and tested, and the standard the pod holds itself to. The Product Owner owns the backlog and the Scrum Master owns the sprint; you own the engineering. On Voyager, the medallion layers are named Raw, Prep, and Prod. They map directly to Bronze, Silver, and Gold and are used interchangeably in this description. Key Responsibilities Design and modeling • Lead the design of data products end to end: what gets ingested, how it is cleansed and conformed, how it is modeled, and what the Gold layer looks like to the people querying it. • Own dimensional design - grain, natural and surrogate keys, Type 2 history, facts, bridges, and conformed dimensions shared across the pod's products. • Set the pod's position on where logic belongs: what is cleaned in Silver, what is business logic in Gold, and what is a consumer's own concern. • Keep models as simple as the questions require, and push back on designs that will not hold. • Partner with ML engineering where the pod's Gold layer is the training or feature source for a model, so those datasets are contracted, versioned, and reproducible like any other consumer-facing product. Data contracts and consumer compatibility • Own the pod's ODCS data contracts as real interfaces: named owners, named consumers, enforceable quality rules, freshness and update expectations, and an explicit breaking-change policy. • Make the compatibility call on every proposed contract change, and drive consumer notification when a change is genuinely breaking. • Represent the pod's contracts in cross-domain conversations, where one pod's Gold layer is another team's dependency. Standards, quality, and operations • Set and hold the pod's engineering standards for Python, SQL, dbt, testing, model structure, naming, and repository conventions - consistent with the platform's paved paths and Azure DevOps CI gates rather than in competition with them. • Lead code review. Be the reviewer who catches the modeling mistake, the missing test, and the change that will break a consumer, and who explains why so the pod learns it. • Ensure quality rules are enforced in tests and asset checks rather than asserted in documentation, and that pipeline health is observable without someone going to look - freshness, volume, latency, and cost instrumented, and alerting set against the SLAs and SLOs the pod's contracts commit to. • Own the pod's operational posture for its own pipelines: failure diagnosis, data-issue triage, backfills, cost and performance tuning, on-call coverage and escalation, root-cause analysis, and runbooks someone other than the author can execute. • Keep the pod's delivery inside the control expectations of a regulated carrier: change management through pull request and pipeline, segregation of duties between authoring and deploying, least-privilege access, and audit evidence that falls out of CI/CD rather than being assembled for an auditor. • Develop reusable frameworks, templates, and patterns that raise the pod's consistency and delivery speed. Delivery leadership • Partner with the Product Owner and Scrum Master on decomposition and refinement: turn use cases and features into estimable, grounded stories with testable acceptance criteria and an identified target layer and repository. • Hold the Definition of Ready before the pod commits and the Definition of Done before the pod calls something finished - merged and approved code, passing CI and coverage gates, and evidence that the outcome is real. • Identify unknowns that need a spike rather than an estimate, and say so during planning rather than mid-sprint. Mentorship and collaboration • Grow the engineers on the pod through design review, pairing, and code review rather than by taking the hard work yourself. • Bring new engineers up to productive speed on the platform's conventions and tooling, and reduce single points of knowledge - no data product that only one person understands. • Work with the platform team on capability gaps: when the pod needs something the platform does not yet offer, raise it as a demand signal rather than building a private workaround. • Partner with the DataOps/MLOps Lead on the shared CI/CD, orchestration, and observability standards - adopt and strengthen the paved path rather than forking it, and be the pod's voice on what it is still missing. • Work with data architecture and governance on solution shape, Unity Catalog placement, and access requirements. Qualifications Required Qualifications • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field; equivalent practical experience considered. • 6+ years building and operating production data pipelines and consumer-facing data models, from source ingestion through to published data products. • Strong hands-on Python and SQL, with the credibility to make design calls and the willingness to still write and review code. • Hands-on experience with Databricks or a comparable Spark-based lakehouse, including Delta Lake, MERGE, incremental processing, and performance tuning. • Deep dimensional modeling experience - grain, keys, slowly changing dimensions, facts and dimensions, conformed dimensions. • Demonstrated technical leadership: setting standards, leading design, and raising other engineers' work, whether or not the role carried a lead title. • Experience owning data that other teams depend on, including handling breaking changes and production data incidents. • Experience with orchestration (Dagster, Databricks Workflows, Airflow, or similar), Git-based collaborative development, code review, and CI/CD - Azure DevOps or comparable. • Experience setting observability and SLA/SLO expectations for data other teams depend on, and running the incident and communication path when they are missed. • Ability to explain trade-offs clearly to engineers, product owners, and business stakeholders, and to say no to a design that will not hold. Preferred Qualifications • Databricks certification (Data Engineer Professional or equivalent demonstrated depth). • Unity Catalog at multi-team scale: catalogs, schemas, external locations, permissions, and lineage. • dbt at scale on Databricks, and Python-based modeling frameworks over Delta Lake. • Dagster and Dagster Cloud, including assets, asset checks, and branch deployments. • Practical experience with data contracts, ODCS, or data-mesh style data product ownership. • Experience with a declarative Python ingestion framework such as dlt (dltHub) or comparable. • Data quality and observability tooling such as Great Expectations, Monte Carlo, or similar. • Familiarity with MLOps practice - MLflow, model registries, and model serving - sufficient to design data products that ML systems can depend on. • Azure and Azure DevOps. • Financial services, insurance, or another regulated industry, including data access, lineage, and audit expectations. • Experience introducing AI-assisted development into a team's normal workflow in a disciplined way. $109,500 - $167,833 a year Protective's targeted salary range for this position is $109,500 to $167,833. Actual salaries may vary depending on factors, including but not limited to, job location, skills, and experience. The range listed is just one component of Protective's total compensation package for employees. This position also offers additional incentive opportunities through an annual incentive based on individual and Company performance. Employee Benefits: We aim to protect the wellbeing of our employees and their families with a broad benefits offering. In addition to offering comprehensive health, dental and vision insurance, we support emotional wellbeing through mental health benefits and an employee assistance program. Work/life balance is important and Protective offers a variety of paid time away benefits ( e.g. , paid time off, paid parental leave, short-term disability, and a cultural observance day). The financial health of our employees is just as important as physical and emotional health. Some of the financial wellbeing benefits include contributions to healthcare accounts, a pension plan, and a 401(k) plan with Company matching. All employees are encouraged to protect their overall wellbeing by engaging in ProHealth Rewards, Protective's platform to improve wellbeing while earning cash rewards. Eligibility for certain benefits may vary by position in accordance with the terms of the Company's benefit plans. Accommodations for Applicants with a Disability: If you require an accommodation to complete the application and recruitment process due to a disability, please email eric . click apply for full job details
09/23/2026
Full time
The work we do has an impact on millions of lives, and you can be a part of it. We help protect our customers against life's uncertainties. Regardless of where you work within the company, you'll be helping provide protection and peace of mind when our customers need it most. Protective is looking for a Lead Data Engineer to set the technical direction for a delivery pod building data products on Voyager, our Databricks lakehouse on Azure. You will lead the design of data products through the full medallion architecture - Bronze ingestion, Silver conformance, and Gold consumption - and be accountable for whether those products hold up for the consumers who depend on them. This is a hands-on technical leadership role, not a people-management or project-management role. You will still write and review production code daily. What you own is how the pod's data products are designed, modeled, contracted, and tested, and the standard the pod holds itself to. The Product Owner owns the backlog and the Scrum Master owns the sprint; you own the engineering. On Voyager, the medallion layers are named Raw, Prep, and Prod. They map directly to Bronze, Silver, and Gold and are used interchangeably in this description. Key Responsibilities Design and modeling • Lead the design of data products end to end: what gets ingested, how it is cleansed and conformed, how it is modeled, and what the Gold layer looks like to the people querying it. • Own dimensional design - grain, natural and surrogate keys, Type 2 history, facts, bridges, and conformed dimensions shared across the pod's products. • Set the pod's position on where logic belongs: what is cleaned in Silver, what is business logic in Gold, and what is a consumer's own concern. • Keep models as simple as the questions require, and push back on designs that will not hold. • Partner with ML engineering where the pod's Gold layer is the training or feature source for a model, so those datasets are contracted, versioned, and reproducible like any other consumer-facing product. Data contracts and consumer compatibility • Own the pod's ODCS data contracts as real interfaces: named owners, named consumers, enforceable quality rules, freshness and update expectations, and an explicit breaking-change policy. • Make the compatibility call on every proposed contract change, and drive consumer notification when a change is genuinely breaking. • Represent the pod's contracts in cross-domain conversations, where one pod's Gold layer is another team's dependency. Standards, quality, and operations • Set and hold the pod's engineering standards for Python, SQL, dbt, testing, model structure, naming, and repository conventions - consistent with the platform's paved paths and Azure DevOps CI gates rather than in competition with them. • Lead code review. Be the reviewer who catches the modeling mistake, the missing test, and the change that will break a consumer, and who explains why so the pod learns it. • Ensure quality rules are enforced in tests and asset checks rather than asserted in documentation, and that pipeline health is observable without someone going to look - freshness, volume, latency, and cost instrumented, and alerting set against the SLAs and SLOs the pod's contracts commit to. • Own the pod's operational posture for its own pipelines: failure diagnosis, data-issue triage, backfills, cost and performance tuning, on-call coverage and escalation, root-cause analysis, and runbooks someone other than the author can execute. • Keep the pod's delivery inside the control expectations of a regulated carrier: change management through pull request and pipeline, segregation of duties between authoring and deploying, least-privilege access, and audit evidence that falls out of CI/CD rather than being assembled for an auditor. • Develop reusable frameworks, templates, and patterns that raise the pod's consistency and delivery speed. Delivery leadership • Partner with the Product Owner and Scrum Master on decomposition and refinement: turn use cases and features into estimable, grounded stories with testable acceptance criteria and an identified target layer and repository. • Hold the Definition of Ready before the pod commits and the Definition of Done before the pod calls something finished - merged and approved code, passing CI and coverage gates, and evidence that the outcome is real. • Identify unknowns that need a spike rather than an estimate, and say so during planning rather than mid-sprint. Mentorship and collaboration • Grow the engineers on the pod through design review, pairing, and code review rather than by taking the hard work yourself. • Bring new engineers up to productive speed on the platform's conventions and tooling, and reduce single points of knowledge - no data product that only one person understands. • Work with the platform team on capability gaps: when the pod needs something the platform does not yet offer, raise it as a demand signal rather than building a private workaround. • Partner with the DataOps/MLOps Lead on the shared CI/CD, orchestration, and observability standards - adopt and strengthen the paved path rather than forking it, and be the pod's voice on what it is still missing. • Work with data architecture and governance on solution shape, Unity Catalog placement, and access requirements. Qualifications Required Qualifications • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field; equivalent practical experience considered. • 6+ years building and operating production data pipelines and consumer-facing data models, from source ingestion through to published data products. • Strong hands-on Python and SQL, with the credibility to make design calls and the willingness to still write and review code. • Hands-on experience with Databricks or a comparable Spark-based lakehouse, including Delta Lake, MERGE, incremental processing, and performance tuning. • Deep dimensional modeling experience - grain, keys, slowly changing dimensions, facts and dimensions, conformed dimensions. • Demonstrated technical leadership: setting standards, leading design, and raising other engineers' work, whether or not the role carried a lead title. • Experience owning data that other teams depend on, including handling breaking changes and production data incidents. • Experience with orchestration (Dagster, Databricks Workflows, Airflow, or similar), Git-based collaborative development, code review, and CI/CD - Azure DevOps or comparable. • Experience setting observability and SLA/SLO expectations for data other teams depend on, and running the incident and communication path when they are missed. • Ability to explain trade-offs clearly to engineers, product owners, and business stakeholders, and to say no to a design that will not hold. Preferred Qualifications • Databricks certification (Data Engineer Professional or equivalent demonstrated depth). • Unity Catalog at multi-team scale: catalogs, schemas, external locations, permissions, and lineage. • dbt at scale on Databricks, and Python-based modeling frameworks over Delta Lake. • Dagster and Dagster Cloud, including assets, asset checks, and branch deployments. • Practical experience with data contracts, ODCS, or data-mesh style data product ownership. • Experience with a declarative Python ingestion framework such as dlt (dltHub) or comparable. • Data quality and observability tooling such as Great Expectations, Monte Carlo, or similar. • Familiarity with MLOps practice - MLflow, model registries, and model serving - sufficient to design data products that ML systems can depend on. • Azure and Azure DevOps. • Financial services, insurance, or another regulated industry, including data access, lineage, and audit expectations. • Experience introducing AI-assisted development into a team's normal workflow in a disciplined way. $109,500 - $167,833 a year Protective's targeted salary range for this position is $109,500 to $167,833. Actual salaries may vary depending on factors, including but not limited to, job location, skills, and experience. The range listed is just one component of Protective's total compensation package for employees. This position also offers additional incentive opportunities through an annual incentive based on individual and Company performance. Employee Benefits: We aim to protect the wellbeing of our employees and their families with a broad benefits offering. In addition to offering comprehensive health, dental and vision insurance, we support emotional wellbeing through mental health benefits and an employee assistance program. Work/life balance is important and Protective offers a variety of paid time away benefits ( e.g. , paid time off, paid parental leave, short-term disability, and a cultural observance day). The financial health of our employees is just as important as physical and emotional health. Some of the financial wellbeing benefits include contributions to healthcare accounts, a pension plan, and a 401(k) plan with Company matching. All employees are encouraged to protect their overall wellbeing by engaging in ProHealth Rewards, Protective's platform to improve wellbeing while earning cash rewards. Eligibility for certain benefits may vary by position in accordance with the terms of the Company's benefit plans. Accommodations for Applicants with a Disability: If you require an accommodation to complete the application and recruitment process due to a disability, please email eric . click apply for full job details
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Location : This is a remote role based in Atlanta, GA. Your Role Advise customers on best practices in design and implementation of secure cloud systems Perform reviews of multiple cloud platforms and services to assess cyber risks around security risks such as data leakage and unauthorized access, and design controls to mitigate those risks Design, develop, and implement security requirements into cloud-native architectures that will allow business requirements to be met with appropriate security controls present Design and develop cloud-specific security policies, standards, and procedures Provide technical design and architecture advice to customer teams on how to securely develop and build cloud-ready applications Effectively articulate complex cloud topics and discuss business impacts with senior customers, positively influencing outcomes Develop high-quality technical content such as security automation tools, reference security architectures, and white papers to help our consultants, partners, and customers build on the work you deliver Your Skills And Experience 5+ years of experience in Cloud Security Architecture and/or Engineering 5+ years of experience in professional services consultancy, commercial cyber security, information security or related industries. Deep understanding of different cloud architecture models, hosting and deployment models In-depth knowledge of the security and compliance capabilities of AWS cloud platform. Experience working on integrating cloud services with common and industry standard cloud-native/cloud-friendly security mechanisms (protect, detect, breach response, and recovery) Broad awareness of security engineering concepts and practices across all phases of the system development lifecycle Experience with securing containerized technologies (examples - Docker, Kubernetes, etc.) Deep technical knowledge of cyber security risks, threats, and defenses to effectively assess the security implications and requirements for the introduction of new cloud technologies Previous exposure to hybrid IT situations, including combining on-premise IT capabilities with Cloud IT capabilities The ability to communicate effectively to diverse audiences and properly translate security and risk management terminology into business terms for these stakeholders The base compensation range for this role in the posted location is: $70,176- $170,040. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
09/23/2026
Full time
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Location : This is a remote role based in Atlanta, GA. Your Role Advise customers on best practices in design and implementation of secure cloud systems Perform reviews of multiple cloud platforms and services to assess cyber risks around security risks such as data leakage and unauthorized access, and design controls to mitigate those risks Design, develop, and implement security requirements into cloud-native architectures that will allow business requirements to be met with appropriate security controls present Design and develop cloud-specific security policies, standards, and procedures Provide technical design and architecture advice to customer teams on how to securely develop and build cloud-ready applications Effectively articulate complex cloud topics and discuss business impacts with senior customers, positively influencing outcomes Develop high-quality technical content such as security automation tools, reference security architectures, and white papers to help our consultants, partners, and customers build on the work you deliver Your Skills And Experience 5+ years of experience in Cloud Security Architecture and/or Engineering 5+ years of experience in professional services consultancy, commercial cyber security, information security or related industries. Deep understanding of different cloud architecture models, hosting and deployment models In-depth knowledge of the security and compliance capabilities of AWS cloud platform. Experience working on integrating cloud services with common and industry standard cloud-native/cloud-friendly security mechanisms (protect, detect, breach response, and recovery) Broad awareness of security engineering concepts and practices across all phases of the system development lifecycle Experience with securing containerized technologies (examples - Docker, Kubernetes, etc.) Deep technical knowledge of cyber security risks, threats, and defenses to effectively assess the security implications and requirements for the introduction of new cloud technologies Previous exposure to hybrid IT situations, including combining on-premise IT capabilities with Cloud IT capabilities The ability to communicate effectively to diverse audiences and properly translate security and risk management terminology into business terms for these stakeholders The base compensation range for this role in the posted location is: $70,176- $170,040. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) Life and disability insurance Employee assistance programs Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States. Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Apple Client Platform Engineer (Remote, US) About Alectrona Customer experience is more than meeting an SLA. Our team is passionate about making Apple "just work" for our clients, because we want you to experience the delight of a truly functional technology environment, without the friction of IT getting in the way. We get excited about what we do, and we love sharing that passion with our partners. Enterprise IT becomes enjoyable again. We actually love what we do, we take a lot of pride in the quality of our work, and for us, customer experience is paramount. The SLA is not the only metric that drives us. We get deeply invested in finding ways to keep our clients as excited as we are. In an industry that hasn't changed much in over a decade, we are actively reimagining what clients should expect from technology vendors. So we want to show off what's possible not just what's been promised. We treat all people as if they're smart and know what's best. because our clients are smart, and they do know. We work with clients that inspire us, and whose missions we want to support. That mutual respect results in trusting relationships and productive communication about business pain points and solutions. We won't hide behind intimidating security-speak and IT jargon. We say what we mean, and mean for clients to understand what we say. Our clients put their people first - and so do we. Happy employees create happy customers. Downtime is expensive, and top talent shouldn't spend entire days downloading apps and setting up workstations. Our clients understand this, and demand the best for their people as a matter of business strategy. We bring a matching sense of purpose and excitement to every client engagement. What you'll do at Alectrona You will lead professional services engagements for organizations running Apple at scale. That means designing the management platform, building the parts that do not exist yet, and telling the customer the truth about what will and will not work. We're a fully remote team across multiple time zones, and we expect you to work well in that environment and be willing to meet in person a few times per year, present at conferences, and be an active member of the team. Design, deploy, and hand over Apple management platforms: MDM, identity, patching, security tooling, and the integrations that tie them together. Own services engagements end to end in accordance with our company values. You scope the work, plan it, run it, document it, and close it out. We expect you to be able to effectively manage your own time and projects. Our team enjoys this flexibility and autonomy and the responsibility that comes with it. Solve the problems that get escalated after everyone else has tried. Packet captures, log spelunking, protocol-level MDM debugging, troubleshooting undocumented behavior in macOS. Understand software development concepts: automations, integrations against vendor APIs, custom agents, deployment tooling. We don't expect you to write apps, but it is important to understand the code you're deploying and know how to fix stuff that isn't working. Challenge customers when their plan will not survive production. Arguing for a better approach is part of the job, and you have to do it well enough to keep the relationship. Run scoping calls. Uncover the business driver behind the request, and then explain what the work will take in plain language. Support our small and medium business managed services customers alongside the rest of the Alectrona team. Provide technical support and guidance to our managed services customers, including properly recording notes, updating documentation, and resolving tickets within SLA targets. Mentor other engineers and colleagues to raise the standards and help everyone learn. Shape new products and services. Alectrona builds its own software, and the ideas come from the field. Perform all job responsibilities in alignment with the core values, mission and purpose of the organization. Adhere to the highest moral, ethical and legal standards to deliver an environment that promotes respect, innovation and creativity. Support and promote a positive, inclusive workplace where the talents and strengths of our increasingly diverse workforce are welcomed, further developed, and expressed in our work. What we're looking for This is a high mid-level to senior role. We are looking for an engineer who is an expert in Apple management and knows the rest of IT well enough to work across the whole stack a customer runs. You will be supporting a variety of customer types, from end users to IT managers. Apple and endpoint management Deep experience managing Apple devices in a variety of types of environments. This means complex management beyond help desk support and basic engineering Solid hands-on expertise in at least two enterprise Apple device management platforms, and the ability to pick up the others fast. Our work spans Jamf Pro, Microsoft Intune, Omnissa Workspace ONE, Fleet, Iru (formerly Kandji), Addigy and Mosyle. Command of the Apple management stack itself, not just one vendor's console: this includes an understanding of the MDM protocol, Declarative Device Management, Automated Device Enrollment and Apple Business, APNs, configuration profiles, TCC and PPPC, FileVault, code signing and notarization, Platform SSO, etc. Experience migrating fleets between platforms, and a solid understanding of what each vendor does well and where another solution might be stronger. Software/DevOps skills for managing endpoints You are familiar with more than just using basic shell scripts. Confidence in writing your own Shell scripts and troubleshooting code at a minimum. Swift, Python, Go or other experience is a plus. Use AI to accelerate and complement your code, not as a wholesale replacement. We want efficiency, productivity, and anti-slop creativity. At Alectrona, we view AI not as a replacement for human expertise, but as a multiplier for your existing skills. Using git, participating in code review, leveraging CI, and testing and packaging are part of how you work, not something another team does for you. You leverage APIs, webhooks, and automation workflows to complete tasks and build processes that scale. The rest of IT IP networking: familiar with TCP/IP, DNS, DHCP, routing, 802.1X, VPN, proxies and TLS inspection. Server and identity administration: supporting Platform SSO, WebAuthn, Entra ID, Okta, Google Workspace, Active Directory, SAML, OIDC, SCIM, Kerberos, and certificate authorities. Security and compliance: CIS Benchmarks, NIST 800-53, SOC 2, ISO 27001, endpoint detection tooling, vulnerability management, and how each of these applies to securing Macs in production. Working with customers Experience and confidence delivering paid professional services or consulting to external customers. You are comfortable actively leading and training customers on implementing configuration changes when we aren't provided direct access to systems. Experience and confidence in supporting end users and small businesses in our managed services operation. You explain complex technical work to people who do not share your background, in writing and out loud. You participate in discovery, kickoff, and project scoping calls as the engineering voice; ask good questions and translate client context into technical decisions. You have the confidence to stand up for what's right, whether it's about a technical best practice or just common sense. You challenge your customer to think differently and maintain trust in our recommendations. You stay steady when a project goes sideways, the workload swings, or a customer is unhappy. Fluent English language proficiency (required). Education and certifications Four-year degree, or the equivalent in experience and knowledge. We understand these skills don't come from higher education alone. Appreciated, but not required; however, you should have the skill to obtain any or all of these certifications quickly: Apple Certified IT Professional, Jamf Certified Expert (400), Microsoft MD-102, CompTIA Network+ and Security+, CISSP. If you don't have certs, you will be expected to obtain them in the first few months of employment. You're the right fit for Alectrona if You enjoy your work and enjoy helping the people around you without being asked. You seek out perspectives that are not your own. You are curious and resourceful; you dig into the parts nobody else wants, and you improve on your own work. New challenges excite you rather than worry you. You take calculated risks and share your mistakes with the team so we can all improve. You approach hard conversations with empathy. Like us, you enjoy solving the really hard problems as a team and hearing how we've significantly improved our clients' working environment. We're serious about building a great place to work where we all get to enjoy what we do together. Pay and benefits The approximate annual compensation range for this role is $95,000 to $165,000, including base salary and any related bonuses or commissions. In addition, Alectrona provides benefits, including 401(k) (6% non-elective company contribution), group medical, dental, vision insurance (99% paid by Alectrona), and an unlimited vacation policy.
09/23/2026
Full time
Apple Client Platform Engineer (Remote, US) About Alectrona Customer experience is more than meeting an SLA. Our team is passionate about making Apple "just work" for our clients, because we want you to experience the delight of a truly functional technology environment, without the friction of IT getting in the way. We get excited about what we do, and we love sharing that passion with our partners. Enterprise IT becomes enjoyable again. We actually love what we do, we take a lot of pride in the quality of our work, and for us, customer experience is paramount. The SLA is not the only metric that drives us. We get deeply invested in finding ways to keep our clients as excited as we are. In an industry that hasn't changed much in over a decade, we are actively reimagining what clients should expect from technology vendors. So we want to show off what's possible not just what's been promised. We treat all people as if they're smart and know what's best. because our clients are smart, and they do know. We work with clients that inspire us, and whose missions we want to support. That mutual respect results in trusting relationships and productive communication about business pain points and solutions. We won't hide behind intimidating security-speak and IT jargon. We say what we mean, and mean for clients to understand what we say. Our clients put their people first - and so do we. Happy employees create happy customers. Downtime is expensive, and top talent shouldn't spend entire days downloading apps and setting up workstations. Our clients understand this, and demand the best for their people as a matter of business strategy. We bring a matching sense of purpose and excitement to every client engagement. What you'll do at Alectrona You will lead professional services engagements for organizations running Apple at scale. That means designing the management platform, building the parts that do not exist yet, and telling the customer the truth about what will and will not work. We're a fully remote team across multiple time zones, and we expect you to work well in that environment and be willing to meet in person a few times per year, present at conferences, and be an active member of the team. Design, deploy, and hand over Apple management platforms: MDM, identity, patching, security tooling, and the integrations that tie them together. Own services engagements end to end in accordance with our company values. You scope the work, plan it, run it, document it, and close it out. We expect you to be able to effectively manage your own time and projects. Our team enjoys this flexibility and autonomy and the responsibility that comes with it. Solve the problems that get escalated after everyone else has tried. Packet captures, log spelunking, protocol-level MDM debugging, troubleshooting undocumented behavior in macOS. Understand software development concepts: automations, integrations against vendor APIs, custom agents, deployment tooling. We don't expect you to write apps, but it is important to understand the code you're deploying and know how to fix stuff that isn't working. Challenge customers when their plan will not survive production. Arguing for a better approach is part of the job, and you have to do it well enough to keep the relationship. Run scoping calls. Uncover the business driver behind the request, and then explain what the work will take in plain language. Support our small and medium business managed services customers alongside the rest of the Alectrona team. Provide technical support and guidance to our managed services customers, including properly recording notes, updating documentation, and resolving tickets within SLA targets. Mentor other engineers and colleagues to raise the standards and help everyone learn. Shape new products and services. Alectrona builds its own software, and the ideas come from the field. Perform all job responsibilities in alignment with the core values, mission and purpose of the organization. Adhere to the highest moral, ethical and legal standards to deliver an environment that promotes respect, innovation and creativity. Support and promote a positive, inclusive workplace where the talents and strengths of our increasingly diverse workforce are welcomed, further developed, and expressed in our work. What we're looking for This is a high mid-level to senior role. We are looking for an engineer who is an expert in Apple management and knows the rest of IT well enough to work across the whole stack a customer runs. You will be supporting a variety of customer types, from end users to IT managers. Apple and endpoint management Deep experience managing Apple devices in a variety of types of environments. This means complex management beyond help desk support and basic engineering Solid hands-on expertise in at least two enterprise Apple device management platforms, and the ability to pick up the others fast. Our work spans Jamf Pro, Microsoft Intune, Omnissa Workspace ONE, Fleet, Iru (formerly Kandji), Addigy and Mosyle. Command of the Apple management stack itself, not just one vendor's console: this includes an understanding of the MDM protocol, Declarative Device Management, Automated Device Enrollment and Apple Business, APNs, configuration profiles, TCC and PPPC, FileVault, code signing and notarization, Platform SSO, etc. Experience migrating fleets between platforms, and a solid understanding of what each vendor does well and where another solution might be stronger. Software/DevOps skills for managing endpoints You are familiar with more than just using basic shell scripts. Confidence in writing your own Shell scripts and troubleshooting code at a minimum. Swift, Python, Go or other experience is a plus. Use AI to accelerate and complement your code, not as a wholesale replacement. We want efficiency, productivity, and anti-slop creativity. At Alectrona, we view AI not as a replacement for human expertise, but as a multiplier for your existing skills. Using git, participating in code review, leveraging CI, and testing and packaging are part of how you work, not something another team does for you. You leverage APIs, webhooks, and automation workflows to complete tasks and build processes that scale. The rest of IT IP networking: familiar with TCP/IP, DNS, DHCP, routing, 802.1X, VPN, proxies and TLS inspection. Server and identity administration: supporting Platform SSO, WebAuthn, Entra ID, Okta, Google Workspace, Active Directory, SAML, OIDC, SCIM, Kerberos, and certificate authorities. Security and compliance: CIS Benchmarks, NIST 800-53, SOC 2, ISO 27001, endpoint detection tooling, vulnerability management, and how each of these applies to securing Macs in production. Working with customers Experience and confidence delivering paid professional services or consulting to external customers. You are comfortable actively leading and training customers on implementing configuration changes when we aren't provided direct access to systems. Experience and confidence in supporting end users and small businesses in our managed services operation. You explain complex technical work to people who do not share your background, in writing and out loud. You participate in discovery, kickoff, and project scoping calls as the engineering voice; ask good questions and translate client context into technical decisions. You have the confidence to stand up for what's right, whether it's about a technical best practice or just common sense. You challenge your customer to think differently and maintain trust in our recommendations. You stay steady when a project goes sideways, the workload swings, or a customer is unhappy. Fluent English language proficiency (required). Education and certifications Four-year degree, or the equivalent in experience and knowledge. We understand these skills don't come from higher education alone. Appreciated, but not required; however, you should have the skill to obtain any or all of these certifications quickly: Apple Certified IT Professional, Jamf Certified Expert (400), Microsoft MD-102, CompTIA Network+ and Security+, CISSP. If you don't have certs, you will be expected to obtain them in the first few months of employment. You're the right fit for Alectrona if You enjoy your work and enjoy helping the people around you without being asked. You seek out perspectives that are not your own. You are curious and resourceful; you dig into the parts nobody else wants, and you improve on your own work. New challenges excite you rather than worry you. You take calculated risks and share your mistakes with the team so we can all improve. You approach hard conversations with empathy. Like us, you enjoy solving the really hard problems as a team and hearing how we've significantly improved our clients' working environment. We're serious about building a great place to work where we all get to enjoy what we do together. Pay and benefits The approximate annual compensation range for this role is $95,000 to $165,000, including base salary and any related bonuses or commissions. In addition, Alectrona provides benefits, including 401(k) (6% non-elective company contribution), group medical, dental, vision insurance (99% paid by Alectrona), and an unlimited vacation policy.
At Sword, we're building AI to heal billions and unlock humanity's full potential. In doing so, we're pioneering AI Care, a fundamentally new approach to healthcare built for medical reasoning, safety, and real-time treatment, not generic technology applied after the fact. As both a clinical-centric frontier AI lab and an applied AI platform, Sword is reimagining how care is delivered at scale, removing traditional barriers like appointments, waiting rooms, and stigma so more people can access the care they need-and ultimately get back to lives lived in full. Since 2020, Sword has expanded across physical therapy, women's health, cardiometabolic, and mental health, and is now moving beyond the session to a fully AI-native, 24/7 care program that brings physical activity, therapeutic exercise, psychotherapy, nutrition, and behavior change into one connected experience. More than 700,000 members across three continents have completed over 10 million AI sessions, helping 1,000+ enterprise clients avoid more than $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies, 44+ patents, and more than $500 million raised from leading investors including Khosla Ventures, General Catalyst, and Founders Fund, Sword is defining a new standard for healthcare. AI Proficiency at Sword AI fluency is a core expectation at Sword. Every candidate is assessed against our three-level framework - be ready to share real examples of how AI is already part of how you work. Explorer (Level 1) - Uses AI daily to boost personal productivity Builder (Level 2) - Creates workflows and tools that elevate the whole team Integrator (Level 3) - Embeds AI into products and processes at scale Every hire must demonstrate at least Level 1. The expected level will vary depending on the seniority of the role. Role As a Senior Security Engineer (Security Operations) at Sword, you will be at the forefront of safeguarding our cloud infrastructure and applications. Your expertise will ensure robust security measures, incident response, and continuous improvement. Are you looking to join an incredible IT team, passionate about simplifying everyone's work? Look no further, we're hiring! We're a proactive team, constantly staying ahead to ensure everything runs smoothly. As an IT Team we understand the importance of technology in today's workplace and the impact that technical issues can have on productivity and efficiency. Want to join the team? Find out if you've got what it takes! To get to know more about our Tech Stack, check here. What you'll be doing Design and continuously improve detection and alerting controls, ensuring high fidelity and contextual relevance to reduce noise and enable rapid response. Architect, refine, and maintain custom YARA-L detection rules and SOAR playbooks in Google SecOps to automate triage, alert enrichment, and initial incident response. Drive prioritization of alerts using a data-driven, scalable triage framework, aligned with business impact and threat context. Lead end-to-end incident investigations in Google SecOps, leveraging complex telemetry correlation to proactively hunt for threats, contain active incidents, and drive root-cause remediation. Proactively engage in threat intelligence and threat hunting, identifying new tactics, techniques, and procedures (TTPs), enriching existing controls, and feeding insights into the detection pipeline. Own incident handling from detection to resolution, collaborating with engineering, IT, and business teams to contain, eradicate, and recover from threats. Define and maintain operational metrics for incident response, using them to drive continuous improvement in speed, accuracy, and organizational readiness. What you need to have Required: Public Trust Clearance - Candidates must be able to obtain and maintain a US public trust clearance. Bachelor's degree in Computer Science, Cybersecurity, or equivalent professional experience. Solid experience in cloud environments (AWS, GCP, or Azure), with strong understanding of cloud-native threats. Proficiency in scripting languages (e.g., Python, Bash) for automation and tooling development. Hands-on experience with SOC tools and platforms, such as SIEM (Splunk, Sentinel, Google SecOps/Chronicle, etc.), SOAR, EDR/XDR, and log management. Highly Preferred: Google SecOps/Chronicle Strong understanding of incident containment and eradication strategies, with proven ability to coordinate response with technical teams. Familiarity with security frameworks and standards (NIST 800-61, CIS Controls, MITRE ATT&CK, ISO 27001). Excellent analytical, critical thinking, and problem-solving skills. Ability to consume and synthesize intelligence about actors, techniques or situations to identify emerging risk scenarios. Proficiency in process formulation and improvement. Background in threat modeling, adversary emulation, and risk-based alert tuning. Strong communicator with the ability to explain security risks and actions to both technical and non-technical audiences. Proven track record of leading cross-functional efforts in high-pressure situations. Ability to foster collaboration across InfoSec, IT, and engineering teams. Forensics experience, investigating incidents and preserving digital evidence. Leverage AI to automate and optimize security operations workflows, including alert triage, enrichment, and incident classification. Design and maintain AI-assisted runbooks, ensuring consistency, auditability, and human-in-the-loop validation for critical decisions. Identify opportunities to improve SOC efficiency through AI-driven automation, while maintaining strong controls and avoiding over-reliance on unverified outputs. Integrate security tooling with AI platforms and APIs to streamline investigation, response, and reporting processes. Enhance vulnerability management and incident response workflows through intelligent prioritization, correlation, and contextualization of findings. Continuously evaluate the accuracy, reliability, and security implications of AI-assisted decisions in operational environments. The range below reflects base, variable, and equity for this role. This is a starting point, not a ceiling - once someone joins and proves they're outlier talent, we adjust quickly to make sure their compensation matches their impact. Job titles may span more than one career level, so actual pay depends on skills, qualifications, experience, location, and market demand, among other factors. The range reflects base salary plus any variable, bonus, or sales incentives, and our estimate of the value of private company stock options where applicable. It's subject to change, and future stock value isn't guaranteed. Sword also offers additional benefits beyond total compensation. Total Compensation Range $133,000-$209,000 USD Country-specific benefits may vary and will be detailed separately. Sword Health complies with applicable Federal and State civil rights laws and does not discriminate on the basis of Age, Ancestry, Color, Citizenship, Gender, Gender expression, Gender identity, Gender information, Marital status, Medical condition, National origin, Physical or mental disability, Pregnancy, Race, Religion, Caste, Sexual orientation, and Veteran status.
09/23/2026
Full time
At Sword, we're building AI to heal billions and unlock humanity's full potential. In doing so, we're pioneering AI Care, a fundamentally new approach to healthcare built for medical reasoning, safety, and real-time treatment, not generic technology applied after the fact. As both a clinical-centric frontier AI lab and an applied AI platform, Sword is reimagining how care is delivered at scale, removing traditional barriers like appointments, waiting rooms, and stigma so more people can access the care they need-and ultimately get back to lives lived in full. Since 2020, Sword has expanded across physical therapy, women's health, cardiometabolic, and mental health, and is now moving beyond the session to a fully AI-native, 24/7 care program that brings physical activity, therapeutic exercise, psychotherapy, nutrition, and behavior change into one connected experience. More than 700,000 members across three continents have completed over 10 million AI sessions, helping 1,000+ enterprise clients avoid more than $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies, 44+ patents, and more than $500 million raised from leading investors including Khosla Ventures, General Catalyst, and Founders Fund, Sword is defining a new standard for healthcare. AI Proficiency at Sword AI fluency is a core expectation at Sword. Every candidate is assessed against our three-level framework - be ready to share real examples of how AI is already part of how you work. Explorer (Level 1) - Uses AI daily to boost personal productivity Builder (Level 2) - Creates workflows and tools that elevate the whole team Integrator (Level 3) - Embeds AI into products and processes at scale Every hire must demonstrate at least Level 1. The expected level will vary depending on the seniority of the role. Role As a Senior Security Engineer (Security Operations) at Sword, you will be at the forefront of safeguarding our cloud infrastructure and applications. Your expertise will ensure robust security measures, incident response, and continuous improvement. Are you looking to join an incredible IT team, passionate about simplifying everyone's work? Look no further, we're hiring! We're a proactive team, constantly staying ahead to ensure everything runs smoothly. As an IT Team we understand the importance of technology in today's workplace and the impact that technical issues can have on productivity and efficiency. Want to join the team? Find out if you've got what it takes! To get to know more about our Tech Stack, check here. What you'll be doing Design and continuously improve detection and alerting controls, ensuring high fidelity and contextual relevance to reduce noise and enable rapid response. Architect, refine, and maintain custom YARA-L detection rules and SOAR playbooks in Google SecOps to automate triage, alert enrichment, and initial incident response. Drive prioritization of alerts using a data-driven, scalable triage framework, aligned with business impact and threat context. Lead end-to-end incident investigations in Google SecOps, leveraging complex telemetry correlation to proactively hunt for threats, contain active incidents, and drive root-cause remediation. Proactively engage in threat intelligence and threat hunting, identifying new tactics, techniques, and procedures (TTPs), enriching existing controls, and feeding insights into the detection pipeline. Own incident handling from detection to resolution, collaborating with engineering, IT, and business teams to contain, eradicate, and recover from threats. Define and maintain operational metrics for incident response, using them to drive continuous improvement in speed, accuracy, and organizational readiness. What you need to have Required: Public Trust Clearance - Candidates must be able to obtain and maintain a US public trust clearance. Bachelor's degree in Computer Science, Cybersecurity, or equivalent professional experience. Solid experience in cloud environments (AWS, GCP, or Azure), with strong understanding of cloud-native threats. Proficiency in scripting languages (e.g., Python, Bash) for automation and tooling development. Hands-on experience with SOC tools and platforms, such as SIEM (Splunk, Sentinel, Google SecOps/Chronicle, etc.), SOAR, EDR/XDR, and log management. Highly Preferred: Google SecOps/Chronicle Strong understanding of incident containment and eradication strategies, with proven ability to coordinate response with technical teams. Familiarity with security frameworks and standards (NIST 800-61, CIS Controls, MITRE ATT&CK, ISO 27001). Excellent analytical, critical thinking, and problem-solving skills. Ability to consume and synthesize intelligence about actors, techniques or situations to identify emerging risk scenarios. Proficiency in process formulation and improvement. Background in threat modeling, adversary emulation, and risk-based alert tuning. Strong communicator with the ability to explain security risks and actions to both technical and non-technical audiences. Proven track record of leading cross-functional efforts in high-pressure situations. Ability to foster collaboration across InfoSec, IT, and engineering teams. Forensics experience, investigating incidents and preserving digital evidence. Leverage AI to automate and optimize security operations workflows, including alert triage, enrichment, and incident classification. Design and maintain AI-assisted runbooks, ensuring consistency, auditability, and human-in-the-loop validation for critical decisions. Identify opportunities to improve SOC efficiency through AI-driven automation, while maintaining strong controls and avoiding over-reliance on unverified outputs. Integrate security tooling with AI platforms and APIs to streamline investigation, response, and reporting processes. Enhance vulnerability management and incident response workflows through intelligent prioritization, correlation, and contextualization of findings. Continuously evaluate the accuracy, reliability, and security implications of AI-assisted decisions in operational environments. The range below reflects base, variable, and equity for this role. This is a starting point, not a ceiling - once someone joins and proves they're outlier talent, we adjust quickly to make sure their compensation matches their impact. Job titles may span more than one career level, so actual pay depends on skills, qualifications, experience, location, and market demand, among other factors. The range reflects base salary plus any variable, bonus, or sales incentives, and our estimate of the value of private company stock options where applicable. It's subject to change, and future stock value isn't guaranteed. Sword also offers additional benefits beyond total compensation. Total Compensation Range $133,000-$209,000 USD Country-specific benefits may vary and will be detailed separately. Sword Health complies with applicable Federal and State civil rights laws and does not discriminate on the basis of Age, Ancestry, Color, Citizenship, Gender, Gender expression, Gender identity, Gender information, Marital status, Medical condition, National origin, Physical or mental disability, Pregnancy, Race, Religion, Caste, Sexual orientation, and Veteran status.
P-256 We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Account Executive (AE), the Travel & Hospitality within Retail SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the Retail and CPG space. The impact you will have: You will work with up to 9 clients as the main technical voice for Databricks You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy You will implement the technical strategy in the account, in close understanding of the strategy Build a movement of technical champions within the account Align technical strategies around Databricks solutions You will provide structured mentorship for other team members What we look for: 5+ years of experience working very large (> $1m ARR), from the Retail and CPG related space 3+ years working in a pre sales capacity or supporting sales activity Technical in big data, data science and cloud An ability in data-driven business transformation, and driving change with data 3+ years of experience with design and implementation experience in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP or full lifecycle data science solutions Maintain and extend production data systems to evolve with complex customer needs Production programming experience in Python, R, Scala or Java Nice to have: Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $180,000-$247,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
09/23/2026
Full time
P-256 We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Account Executive (AE), the Travel & Hospitality within Retail SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the Retail and CPG space. The impact you will have: You will work with up to 9 clients as the main technical voice for Databricks You will lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy You will implement the technical strategy in the account, in close understanding of the strategy Build a movement of technical champions within the account Align technical strategies around Databricks solutions You will provide structured mentorship for other team members What we look for: 5+ years of experience working very large (> $1m ARR), from the Retail and CPG related space 3+ years working in a pre sales capacity or supporting sales activity Technical in big data, data science and cloud An ability in data-driven business transformation, and driving change with data 3+ years of experience with design and implementation experience in big data technologies such as Hadoop, NoSQL, MPP, OLTP, and OLAP or full lifecycle data science solutions Maintain and extend production data systems to evolve with complex customer needs Production programming experience in Python, R, Scala or Java Nice to have: Databricks Certification Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $180,000-$247,500 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
At Sword, we're building AI to heal billions and unlock humanity's full potential. In doing so, we're pioneering AI Care, a fundamentally new approach to healthcare built for medical reasoning, safety, and real-time treatment, not generic technology applied after the fact. As both a clinical-centric frontier AI lab and an applied AI platform, Sword is reimagining how care is delivered at scale, removing traditional barriers like appointments, waiting rooms, and stigma so more people can access the care they need-and ultimately get back to lives lived in full. Since 2020, Sword has expanded across physical therapy, women's health, cardiometabolic, and mental health, and is now moving beyond the session to a fully AI-native, 24/7 care program that brings physical activity, therapeutic exercise, psychotherapy, nutrition, and behavior change into one connected experience. More than 700,000 members across three continents have completed over 10 million AI sessions, helping 1,000+ enterprise clients avoid more than $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies, 44+ patents, and more than $500 million raised from leading investors including Khosla Ventures, General Catalyst, and Founders Fund, Sword is defining a new standard for healthcare. AI Proficiency at Sword AI fluency is a core expectation at Sword. Every candidate is assessed against our three-level framework - be ready to share real examples of how AI is already part of how you work. Explorer (Level 1) - Uses AI daily to boost personal productivity Builder (Level 2) - Creates workflows and tools that elevate the whole team Integrator (Level 3) - Embeds AI into products and processes at scale Every hire must demonstrate at least Level 1. The expected level will vary depending on the seniority of the role. Role As Security Operations Lead, you'll lead our SecOps squad and own how Sword detects, investigates, and responds to threats. You'll help structure how this function operates - setting the direction on SIEM architecture, detection engineering, and incident response - and use automation and AI to scale a focused team across a fast-growing, multi-continent footprint. You'll be a core voice in our security strategy, and the systems, processes, and culture you build will set the bar for how Sword protects 700,000+ members. To get to know more about our Tech Stack, check here. What you'll be doing Serve as the hands-on technical lead for Sword's Security Operations Center. Setting the technical direction - architecting the SIEM, engineering detection logic, executing incident response, and building the technical roadmap to scale our defenses as the company grows. Own the SIEM end-to-end (architecture, data sources, normalization, retention, cost, and tuning) and evolve detection-as-code content aligned to MITRE ATT&CK and Sword's threat model. Lead the SOC/CSIRT team technically - mentoring detection and response engineers, raising the bar on investigations, running on-call and escalation models, and acting as commander for major incidents. Set the strategy and technical direction for Sword's Security Operations Center - defining the operating model, SIEM and detection architecture, incident response capability, and the roadmap to scale them as the company grows. Drive an AI- and automation-first transformation of security operations: design SOAR playbooks, agentic and LLM-assisted triage workflows, and ML-driven detection to reduce MTTD/MTTR, expand coverage, and let a lean team operate at enterprise scale. Lead high-severity incident response from detection through containment, eradication, recovery, and post-incident review, partnering with engineering, IT, legal, and executive stakeholders during critical events. Run the threat intelligence and threat hunting programs, converting emerging TTPs into new detections, proactive hardening, and informed risk decisions. Advanced Incident Response & Threat Hunting: Lead end-to-end incident investigations in Google SecOps, leveraging complex telemetry correlation to proactively hunt for threats, contain active incidents, and drive root-cause remediation. Define and report on SOC performance - MTTD, MTTR, coverage, automation rate, false-positive rate, on-call health - and use those metrics to drive measurable, continuous improvement. Influence security architecture and engineering decisions across the company, ensuring detection, response, and recovery are built into new products, platforms, and infrastructure from day one. Detection & Automation Leadership: Architect, refine, and maintain custom YARA-L detection rules and SOAR playbooks in Google SecOps to automate triage, alert enrichment, and initial incident response. What you need to have Required: Public Trust Clearance - Candidates must be able to obtain and maintain a US public trust clearance. Bachelor's degree in Computer Science, Cybersecurity, or equivalent professional experience. 7+ years experience in Security Operations Proven experience scaling a SOC through automation and AI - SOAR, hyperautomation, LLM-assisted triage, agentic workflows, or ML-driven detection - with measurable impact on MTTR, coverage, or analyst leverage. Hands-on experience structuring a SOC, either building one from the ground up or maturing one through significant transformation - SIEM selection, implementation or migration, detection engineering practice, runbook libraries, on-call rotations, and operating metrics. Deep SIEM expertise (Splunk, Sentinel, Google SecOps/Chronicle, Elastic, or similar) - ingestion architecture, detection-as-code, query optimization, and coverage-versus-cost tradeoffs. Highly preferred: Google SecOps/Chronicle Prior experience as the technical lead of a SOC or CSIRT team - owning the full incident response lifecycle, mentoring analysts and engineers, and acting as on-call/incident commander during major incidents. Strong incident response track record - leading high-severity investigations, root cause analysis, digital forensics, and post-incident reviews that produced durable improvements. Solid experience in cloud environments (AWS and/or GCP), with strong understanding of cloud-native threats and controls. Strong scripting and development skills (Python, Go, Bash, or similar) for building automation, integrations, and internal tooling. Working knowledge of EDR/XDR, identity, and network detection telemetry, and how to combine signals into high-fidelity detections. Fluency with security frameworks and standards (NIST 800-61, CIS Controls, MITRE ATT&CK, ISO 27001) and the judgment to apply them pragmatically. Background in threat modeling, adversary emulation, and risk-based alert tuning. Excellent communicator - able to brief executives during a Sev1, write a clear post-mortem, and translate technical risk into business language for non-technical audiences. Proven track record of leading cross-functional efforts in high-pressure situations and fostering collaboration across InfoSec, IT, and engineering. Forensics experience, investigating incidents and preserving digital evidence. Public Trust Clearance Candidates must be able to obtain and maintain a US public trust clearance. Please note that US citizenship is required to obtain and maintain a government security clearance. The range below reflects base, variable, and equity for this role. This is a starting point, not a ceiling - once someone joins and proves they're outlier talent, we adjust quickly to make sure their compensation matches their impact. Job titles may span more than one career level, so actual pay depends on skills, qualifications, experience, location, and market demand, among other factors. The range reflects base salary plus any variable, bonus, or sales incentives, and our estimate of the value of private company stock options where applicable. It's subject to change, and future stock value isn't guaranteed. Sword also offers additional benefits beyond total compensation. Total Compensation Range $133,978-$210,537 USD Country-specific benefits may vary and will be detailed separately. Sword Health complies with applicable Federal and State civil rights laws and does not discriminate on the basis of Age, Ancestry, Color, Citizenship, Gender, Gender expression, Gender identity, Gender information, Marital status, Medical condition, National origin, Physical or mental disability, Pregnancy, Race, Religion, Caste, Sexual orientation, and Veteran status.
09/23/2026
Full time
At Sword, we're building AI to heal billions and unlock humanity's full potential. In doing so, we're pioneering AI Care, a fundamentally new approach to healthcare built for medical reasoning, safety, and real-time treatment, not generic technology applied after the fact. As both a clinical-centric frontier AI lab and an applied AI platform, Sword is reimagining how care is delivered at scale, removing traditional barriers like appointments, waiting rooms, and stigma so more people can access the care they need-and ultimately get back to lives lived in full. Since 2020, Sword has expanded across physical therapy, women's health, cardiometabolic, and mental health, and is now moving beyond the session to a fully AI-native, 24/7 care program that brings physical activity, therapeutic exercise, psychotherapy, nutrition, and behavior change into one connected experience. More than 700,000 members across three continents have completed over 10 million AI sessions, helping 1,000+ enterprise clients avoid more than $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies, 44+ patents, and more than $500 million raised from leading investors including Khosla Ventures, General Catalyst, and Founders Fund, Sword is defining a new standard for healthcare. AI Proficiency at Sword AI fluency is a core expectation at Sword. Every candidate is assessed against our three-level framework - be ready to share real examples of how AI is already part of how you work. Explorer (Level 1) - Uses AI daily to boost personal productivity Builder (Level 2) - Creates workflows and tools that elevate the whole team Integrator (Level 3) - Embeds AI into products and processes at scale Every hire must demonstrate at least Level 1. The expected level will vary depending on the seniority of the role. Role As Security Operations Lead, you'll lead our SecOps squad and own how Sword detects, investigates, and responds to threats. You'll help structure how this function operates - setting the direction on SIEM architecture, detection engineering, and incident response - and use automation and AI to scale a focused team across a fast-growing, multi-continent footprint. You'll be a core voice in our security strategy, and the systems, processes, and culture you build will set the bar for how Sword protects 700,000+ members. To get to know more about our Tech Stack, check here. What you'll be doing Serve as the hands-on technical lead for Sword's Security Operations Center. Setting the technical direction - architecting the SIEM, engineering detection logic, executing incident response, and building the technical roadmap to scale our defenses as the company grows. Own the SIEM end-to-end (architecture, data sources, normalization, retention, cost, and tuning) and evolve detection-as-code content aligned to MITRE ATT&CK and Sword's threat model. Lead the SOC/CSIRT team technically - mentoring detection and response engineers, raising the bar on investigations, running on-call and escalation models, and acting as commander for major incidents. Set the strategy and technical direction for Sword's Security Operations Center - defining the operating model, SIEM and detection architecture, incident response capability, and the roadmap to scale them as the company grows. Drive an AI- and automation-first transformation of security operations: design SOAR playbooks, agentic and LLM-assisted triage workflows, and ML-driven detection to reduce MTTD/MTTR, expand coverage, and let a lean team operate at enterprise scale. Lead high-severity incident response from detection through containment, eradication, recovery, and post-incident review, partnering with engineering, IT, legal, and executive stakeholders during critical events. Run the threat intelligence and threat hunting programs, converting emerging TTPs into new detections, proactive hardening, and informed risk decisions. Advanced Incident Response & Threat Hunting: Lead end-to-end incident investigations in Google SecOps, leveraging complex telemetry correlation to proactively hunt for threats, contain active incidents, and drive root-cause remediation. Define and report on SOC performance - MTTD, MTTR, coverage, automation rate, false-positive rate, on-call health - and use those metrics to drive measurable, continuous improvement. Influence security architecture and engineering decisions across the company, ensuring detection, response, and recovery are built into new products, platforms, and infrastructure from day one. Detection & Automation Leadership: Architect, refine, and maintain custom YARA-L detection rules and SOAR playbooks in Google SecOps to automate triage, alert enrichment, and initial incident response. What you need to have Required: Public Trust Clearance - Candidates must be able to obtain and maintain a US public trust clearance. Bachelor's degree in Computer Science, Cybersecurity, or equivalent professional experience. 7+ years experience in Security Operations Proven experience scaling a SOC through automation and AI - SOAR, hyperautomation, LLM-assisted triage, agentic workflows, or ML-driven detection - with measurable impact on MTTR, coverage, or analyst leverage. Hands-on experience structuring a SOC, either building one from the ground up or maturing one through significant transformation - SIEM selection, implementation or migration, detection engineering practice, runbook libraries, on-call rotations, and operating metrics. Deep SIEM expertise (Splunk, Sentinel, Google SecOps/Chronicle, Elastic, or similar) - ingestion architecture, detection-as-code, query optimization, and coverage-versus-cost tradeoffs. Highly preferred: Google SecOps/Chronicle Prior experience as the technical lead of a SOC or CSIRT team - owning the full incident response lifecycle, mentoring analysts and engineers, and acting as on-call/incident commander during major incidents. Strong incident response track record - leading high-severity investigations, root cause analysis, digital forensics, and post-incident reviews that produced durable improvements. Solid experience in cloud environments (AWS and/or GCP), with strong understanding of cloud-native threats and controls. Strong scripting and development skills (Python, Go, Bash, or similar) for building automation, integrations, and internal tooling. Working knowledge of EDR/XDR, identity, and network detection telemetry, and how to combine signals into high-fidelity detections. Fluency with security frameworks and standards (NIST 800-61, CIS Controls, MITRE ATT&CK, ISO 27001) and the judgment to apply them pragmatically. Background in threat modeling, adversary emulation, and risk-based alert tuning. Excellent communicator - able to brief executives during a Sev1, write a clear post-mortem, and translate technical risk into business language for non-technical audiences. Proven track record of leading cross-functional efforts in high-pressure situations and fostering collaboration across InfoSec, IT, and engineering. Forensics experience, investigating incidents and preserving digital evidence. Public Trust Clearance Candidates must be able to obtain and maintain a US public trust clearance. Please note that US citizenship is required to obtain and maintain a government security clearance. The range below reflects base, variable, and equity for this role. This is a starting point, not a ceiling - once someone joins and proves they're outlier talent, we adjust quickly to make sure their compensation matches their impact. Job titles may span more than one career level, so actual pay depends on skills, qualifications, experience, location, and market demand, among other factors. The range reflects base salary plus any variable, bonus, or sales incentives, and our estimate of the value of private company stock options where applicable. It's subject to change, and future stock value isn't guaranteed. Sword also offers additional benefits beyond total compensation. Total Compensation Range $133,978-$210,537 USD Country-specific benefits may vary and will be detailed separately. Sword Health complies with applicable Federal and State civil rights laws and does not discriminate on the basis of Age, Ancestry, Color, Citizenship, Gender, Gender expression, Gender identity, Gender information, Marital status, Medical condition, National origin, Physical or mental disability, Pregnancy, Race, Religion, Caste, Sexual orientation, and Veteran status.
At Sword, we're building AI to heal billions and unlock humanity's full potential. In doing so, we're pioneering AI Care, a fundamentally new approach to healthcare built for medical reasoning, safety, and real-time treatment, not generic technology applied after the fact. As both a clinical-centric frontier AI lab and an applied AI platform, Sword is reimagining how care is delivered at scale, removing traditional barriers like appointments, waiting rooms, and stigma so more people can access the care they need-and ultimately get back to lives lived in full. Since 2020, Sword has expanded across physical therapy, women's health, cardiometabolic, and mental health, and is now moving beyond the session to a fully AI-native, 24/7 care program that brings physical activity, therapeutic exercise, psychotherapy, nutrition, and behavior change into one connected experience. More than 700,000 members across three continents have completed over 10 million AI sessions, helping 1,000+ enterprise clients avoid more than $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies, 44+ patents, and more than $500 million raised from leading investors including Khosla Ventures, General Catalyst, and Founders Fund, Sword is defining a new standard for healthcare. AI Proficiency at Sword AI fluency is a core expectation at Sword. Every candidate is assessed against our three-level framework - be ready to share real examples of how AI is already part of how you work. Explorer (Level 1) - Uses AI daily to boost personal productivity Builder (Level 2) - Creates workflows and tools that elevate the whole team Integrator (Level 3) - Embeds AI into products and processes at scale Every hire must demonstrate at least Level 1. The expected level will vary depending on the seniority of the role. Role As a Senior DevOps Engineer at Sword Health, you'll own and evolve the infrastructure that powers the world's leading AI Care platform. Working across a multi-cloud environment, you'll build and maintain the systems behind our frontends, backends, microservices, and data pipelines - collaborating closely with multiple engineering teams to keep everything reliable, scalable, and fast. You'll also interface with our AI teams as their models move into production, ensuring the infrastructure is ready to support them. If you thrive in cross-team environments and want your infrastructure work to directly impact healthcare at scale - we'd love to hear from you. To get to know more about our Tech Stack, check here. What you'll be doing Design, implement, and maintain scalable, resilient infrastructure to support Sword Health's high-demand applications and services. Automate and streamline deployment processes, CI/CD pipelines, and routine maintenance tasks to enhance efficiency and reduce downtime. Monitor and optimize system performance, proactively identifying and resolving issues to ensure high availability and reliability. Collaborate closely with development, data, and security teams to ensure seamless integration of infrastructure and code changes. Drive security best practices by implementing and managing access control, network security, and compliance-related policies across the infrastructure. Lead incident response and troubleshooting for infrastructure-related issues, ensuring rapid and effective resolution to maintain service continuity. Mentor and guide junior team members, sharing DevOps best practices and fostering a culture of continuous learning and improvement within the team. Stay up-to-date with industry trends and emerging technologies, bringing innovative solutions to Sword Health's DevOps processes and toolchains. What you need to have Experience with Linux environments. Experience with DevOps and GitOps methodologies. Experience with Kubernetes and Containerized applications (Docker). Experience with Infrastructure as Code (Terraform). Experience with Monitoring Tools (Google Cloud Monitoring/StackDriver, Grafana, Prometheus/AlertManager, NewRelic). Experience with Jenkins. Experience with CI/CD. Team player, Solution-oriented, Proactive attitude with "Get Things Done" mindset. Enthusiast and interested in technologies and innovation. Fluent in English (written and oral). Extra: Experience/Knowledge with Kafka, Prometheus/AlertManager, Grafana, Elasticsearch/ Logstash/ Kibana, Vault, Redis, MySQL, DNS. Usage of AI to debug and develop Infrastructure tooling. Development of AI Agents to automate processes and Infrastructure monitoring and provisioning. Extra: Experience with PHP, Javascript, GoLang. Extra: Experience provisioning servers and services using AWS, Azure, or GCP. Extra: Experience/Knowledge with Istio. Extra: Good know-how about Cloud Networking including VPC Management, Routing, NAT, and overall troubleshooting using TCPdump analysis. The range below reflects base, variable, and equity for this role. This is a starting point, not a ceiling - once someone joins and proves they're outlier talent, we adjust quickly to make sure their compensation matches their impact. Job titles may span more than one career level, so actual pay depends on skills, qualifications, experience, location, and market demand, among other factors. The range reflects base salary plus any variable, bonus, or sales incentives, and our estimate of the value of private company stock options where applicable. It's subject to change, and future stock value isn't guaranteed. Sword also offers additional benefits beyond total compensation. Total Compensation Range $140,000-$220,000 USD Country-specific benefits may vary and will be detailed separately. Sword Health complies with applicable Federal and State civil rights laws and does not discriminate on the basis of Age, Ancestry, Color, Citizenship, Gender, Gender expression, Gender identity, Gender information, Marital status, Medical condition, National origin, Physical or mental disability, Pregnancy, Race, Religion, Caste, Sexual orientation, and Veteran status.
09/23/2026
Full time
At Sword, we're building AI to heal billions and unlock humanity's full potential. In doing so, we're pioneering AI Care, a fundamentally new approach to healthcare built for medical reasoning, safety, and real-time treatment, not generic technology applied after the fact. As both a clinical-centric frontier AI lab and an applied AI platform, Sword is reimagining how care is delivered at scale, removing traditional barriers like appointments, waiting rooms, and stigma so more people can access the care they need-and ultimately get back to lives lived in full. Since 2020, Sword has expanded across physical therapy, women's health, cardiometabolic, and mental health, and is now moving beyond the session to a fully AI-native, 24/7 care program that brings physical activity, therapeutic exercise, psychotherapy, nutrition, and behavior change into one connected experience. More than 700,000 members across three continents have completed over 10 million AI sessions, helping 1,000+ enterprise clients avoid more than $1 billion in unnecessary healthcare costs. Backed by 42 clinical studies, 44+ patents, and more than $500 million raised from leading investors including Khosla Ventures, General Catalyst, and Founders Fund, Sword is defining a new standard for healthcare. AI Proficiency at Sword AI fluency is a core expectation at Sword. Every candidate is assessed against our three-level framework - be ready to share real examples of how AI is already part of how you work. Explorer (Level 1) - Uses AI daily to boost personal productivity Builder (Level 2) - Creates workflows and tools that elevate the whole team Integrator (Level 3) - Embeds AI into products and processes at scale Every hire must demonstrate at least Level 1. The expected level will vary depending on the seniority of the role. Role As a Senior DevOps Engineer at Sword Health, you'll own and evolve the infrastructure that powers the world's leading AI Care platform. Working across a multi-cloud environment, you'll build and maintain the systems behind our frontends, backends, microservices, and data pipelines - collaborating closely with multiple engineering teams to keep everything reliable, scalable, and fast. You'll also interface with our AI teams as their models move into production, ensuring the infrastructure is ready to support them. If you thrive in cross-team environments and want your infrastructure work to directly impact healthcare at scale - we'd love to hear from you. To get to know more about our Tech Stack, check here. What you'll be doing Design, implement, and maintain scalable, resilient infrastructure to support Sword Health's high-demand applications and services. Automate and streamline deployment processes, CI/CD pipelines, and routine maintenance tasks to enhance efficiency and reduce downtime. Monitor and optimize system performance, proactively identifying and resolving issues to ensure high availability and reliability. Collaborate closely with development, data, and security teams to ensure seamless integration of infrastructure and code changes. Drive security best practices by implementing and managing access control, network security, and compliance-related policies across the infrastructure. Lead incident response and troubleshooting for infrastructure-related issues, ensuring rapid and effective resolution to maintain service continuity. Mentor and guide junior team members, sharing DevOps best practices and fostering a culture of continuous learning and improvement within the team. Stay up-to-date with industry trends and emerging technologies, bringing innovative solutions to Sword Health's DevOps processes and toolchains. What you need to have Experience with Linux environments. Experience with DevOps and GitOps methodologies. Experience with Kubernetes and Containerized applications (Docker). Experience with Infrastructure as Code (Terraform). Experience with Monitoring Tools (Google Cloud Monitoring/StackDriver, Grafana, Prometheus/AlertManager, NewRelic). Experience with Jenkins. Experience with CI/CD. Team player, Solution-oriented, Proactive attitude with "Get Things Done" mindset. Enthusiast and interested in technologies and innovation. Fluent in English (written and oral). Extra: Experience/Knowledge with Kafka, Prometheus/AlertManager, Grafana, Elasticsearch/ Logstash/ Kibana, Vault, Redis, MySQL, DNS. Usage of AI to debug and develop Infrastructure tooling. Development of AI Agents to automate processes and Infrastructure monitoring and provisioning. Extra: Experience with PHP, Javascript, GoLang. Extra: Experience provisioning servers and services using AWS, Azure, or GCP. Extra: Experience/Knowledge with Istio. Extra: Good know-how about Cloud Networking including VPC Management, Routing, NAT, and overall troubleshooting using TCPdump analysis. The range below reflects base, variable, and equity for this role. This is a starting point, not a ceiling - once someone joins and proves they're outlier talent, we adjust quickly to make sure their compensation matches their impact. Job titles may span more than one career level, so actual pay depends on skills, qualifications, experience, location, and market demand, among other factors. The range reflects base salary plus any variable, bonus, or sales incentives, and our estimate of the value of private company stock options where applicable. It's subject to change, and future stock value isn't guaranteed. Sword also offers additional benefits beyond total compensation. Total Compensation Range $140,000-$220,000 USD Country-specific benefits may vary and will be detailed separately. Sword Health complies with applicable Federal and State civil rights laws and does not discriminate on the basis of Age, Ancestry, Color, Citizenship, Gender, Gender expression, Gender identity, Gender information, Marital status, Medical condition, National origin, Physical or mental disability, Pregnancy, Race, Religion, Caste, Sexual orientation, and Veteran status.
The work we do has an impact on millions of lives, and you can be a part of it. We help protect our customers against life's uncertainties. Regardless of where you work within the company, you'll be helping provide protection and peace of mind when our customers need it most. Protective Life is transforming how it builds and operates software - moving to a product operating model organized around empowered, outcome-oriented teams - and is scaling its data and AI capabilities to serve customers and run the business better. Voyager is one of these product pods, spanning our Life, Annuities, and Employee Benefits lines. The DataOps/MLOps Lead owns the platform and operating model that lets data and ML engineers ship reliably. You build the paved paths - CI/CD, orchestration, observability, environments, and governance automation - on our Databricks Lakehouse on Microsoft Azure, so that pipelines and models move from development to governed production quickly, safely, and repeatably. This is a hands-on technical leadership role: you set standards, automate the operational backbone, mentor engineers, and are accountable for the reliability, security, cost, and auditability of the pod's data and ML systems in a regulated insurance environment. KEY RESPONSIBILITIES • Own the DataOps/MLOps platform and operating model - the paved paths, automation, and tooling that data and ML engineers use to build and run pipelines and models reliably. • Lead CI/CD standards and pipelines in Azure DevOps (ADO) for data pipelines and ML models - build, test, and release automation, environment promotion, and repeatable, auditable deployments. • Standardize orchestration on Dagster - reusable assets, scheduling, backfills, dependency management, and run observability across the pod's pipelines. • Operationalize the ingestion and transformation stack - dlt (dltHub) and dbt - with automated testing, CI checks, and safe deployment of changes. • Build MLOps foundations with the ML engineering team - MLflow model registry, Databricks Model Serving, automated deployment, monitoring, drift detection, and retraining triggers. • Establish data and model observability - freshness, quality, lineage, latency, drift, and cost - with alerting and clear SLAs/SLOs. • Administer and govern the Databricks Lakehouse on Azure - workspace configuration, Unity Catalog governance, access controls, and policy automation. • Manage infrastructure as code and environments - reproducible dev/test/prod setups (e.g., Terraform), secrets management, and least-privilege access. • Own reliability and incident practices - on-call, runbooks, root-cause analysis, and continuous improvement for data and ML services. • Drive cost visibility and optimization (FinOps) across compute, storage, and model serving. • Automate governance and compliance controls - audit logging, model and pipeline inventories, approval workflows, and evidence collection for a regulated environment. • Provide technical leadership and mentoring - coach engineers on operational excellence and set the platform standards the pod builds on. QUALIFICATIONS REQUIRED QUALIFICATIONS • 8+ years in data, ML, or platform engineering, or in SRE/DevOps, including several years operating production data and/or ML systems. • Demonstrated technical leadership - setting standards, building paved paths and automation, and mentoring engineers (formal people management not required, but valued). • Strong CI/CD expertise with Azure DevOps (ADO) - build/release pipelines, environment promotion, automated testing - and Git-based workflows. • Hands-on experience with orchestration (Dagster or equivalent) and the modern data stack - dlt (dltHub) ingestion and dbt modeling - on a Databricks lakehouse (Delta Lake). • MLOps experience - MLflow model registry, model deployment/serving, monitoring, drift detection, and retraining automation. • Infrastructure-as-code and cloud platform administration on Microsoft Azure (compute, storage, identity, networking basics); Terraform or equivalent. • Strong Python and SQL for automation and tooling. • Experience with observability/monitoring tooling and SRE practices - SLAs/SLOs, alerting, and incident management. • Demonstrated rigor in security, access control, and secure, compliant handling of sensitive data. • Bachelor's degree in Computer Science, Engineering, or a related field - or equivalent practical experience. PREFERRED QUALIFICATIONS • Experience in financial services or insurance platform work, and familiarity with model risk and regulatory audit expectations. • Databricks administration - Unity Catalog, cluster policies, and Mosaic AI - and familiarity with Azure Machine Learning. • Containerization and orchestration (Docker, Kubernetes; Azure AKS or Container Apps). • Experience with data-quality / observability tooling (e.g., Great Expectations, Monte Carlo, or similar). • Experience automating responsible-AI and model-governance controls. • Relevant certification such as Databricks Certified Data Engineer/ML Engineer, Microsoft Azure DevOps Engineer, or Azure Administrator. $124,500 - $170,000 a year Protective's targeted salary range for this position is $124,500 to $170,000. Actual salaries may vary depending on factors, including but not limited to job location, skills, and experience. The range listed is just one component of Protective's total compensation package for employees. This position also offers additional incentive opportunities through an annual incentive based on individual and Company performance. Employee Benefits: We aim to protect the wellbeing of our employees and their families with a broad benefits offering. In addition to offering comprehensive health, dental and vision insurance, we support emotional wellbeing through mental health benefits and an employee assistance program. Work/life balance is important and Protective offers a variety of paid time away benefits ( e.g. , paid time off, paid parental leave, short-term disability, and a cultural observance day). The financial health of our employees is just as important as physical and emotional health. Some of the financial wellbeing benefits include contributions to healthcare accounts, a pension plan, and a 401(k) plan with Company matching. All employees are encouraged to protect their overall wellbeing by engaging in ProHealth Rewards, Protective's platform to improve wellbeing while earning cash rewards. Eligibility for certain benefits may vary by position in accordance with the terms of the Company's benefit plans. Accommodations for Applicants with a Disability: If you require an accommodation to complete the application and recruitment process due to a disability, please email . This information will be held in confidence and used only to determine an appropriate accommodation for the application and recruitment process. Please note that the above email is solely for individuals with disabilities requesting an accommodation. General employment questions should not be sent through this process. We are proud to be an equal opportunity employer committed to being inclusive and attracting, retaining, and growing an inclusive workforce.
09/23/2026
Full time
The work we do has an impact on millions of lives, and you can be a part of it. We help protect our customers against life's uncertainties. Regardless of where you work within the company, you'll be helping provide protection and peace of mind when our customers need it most. Protective Life is transforming how it builds and operates software - moving to a product operating model organized around empowered, outcome-oriented teams - and is scaling its data and AI capabilities to serve customers and run the business better. Voyager is one of these product pods, spanning our Life, Annuities, and Employee Benefits lines. The DataOps/MLOps Lead owns the platform and operating model that lets data and ML engineers ship reliably. You build the paved paths - CI/CD, orchestration, observability, environments, and governance automation - on our Databricks Lakehouse on Microsoft Azure, so that pipelines and models move from development to governed production quickly, safely, and repeatably. This is a hands-on technical leadership role: you set standards, automate the operational backbone, mentor engineers, and are accountable for the reliability, security, cost, and auditability of the pod's data and ML systems in a regulated insurance environment. KEY RESPONSIBILITIES • Own the DataOps/MLOps platform and operating model - the paved paths, automation, and tooling that data and ML engineers use to build and run pipelines and models reliably. • Lead CI/CD standards and pipelines in Azure DevOps (ADO) for data pipelines and ML models - build, test, and release automation, environment promotion, and repeatable, auditable deployments. • Standardize orchestration on Dagster - reusable assets, scheduling, backfills, dependency management, and run observability across the pod's pipelines. • Operationalize the ingestion and transformation stack - dlt (dltHub) and dbt - with automated testing, CI checks, and safe deployment of changes. • Build MLOps foundations with the ML engineering team - MLflow model registry, Databricks Model Serving, automated deployment, monitoring, drift detection, and retraining triggers. • Establish data and model observability - freshness, quality, lineage, latency, drift, and cost - with alerting and clear SLAs/SLOs. • Administer and govern the Databricks Lakehouse on Azure - workspace configuration, Unity Catalog governance, access controls, and policy automation. • Manage infrastructure as code and environments - reproducible dev/test/prod setups (e.g., Terraform), secrets management, and least-privilege access. • Own reliability and incident practices - on-call, runbooks, root-cause analysis, and continuous improvement for data and ML services. • Drive cost visibility and optimization (FinOps) across compute, storage, and model serving. • Automate governance and compliance controls - audit logging, model and pipeline inventories, approval workflows, and evidence collection for a regulated environment. • Provide technical leadership and mentoring - coach engineers on operational excellence and set the platform standards the pod builds on. QUALIFICATIONS REQUIRED QUALIFICATIONS • 8+ years in data, ML, or platform engineering, or in SRE/DevOps, including several years operating production data and/or ML systems. • Demonstrated technical leadership - setting standards, building paved paths and automation, and mentoring engineers (formal people management not required, but valued). • Strong CI/CD expertise with Azure DevOps (ADO) - build/release pipelines, environment promotion, automated testing - and Git-based workflows. • Hands-on experience with orchestration (Dagster or equivalent) and the modern data stack - dlt (dltHub) ingestion and dbt modeling - on a Databricks lakehouse (Delta Lake). • MLOps experience - MLflow model registry, model deployment/serving, monitoring, drift detection, and retraining automation. • Infrastructure-as-code and cloud platform administration on Microsoft Azure (compute, storage, identity, networking basics); Terraform or equivalent. • Strong Python and SQL for automation and tooling. • Experience with observability/monitoring tooling and SRE practices - SLAs/SLOs, alerting, and incident management. • Demonstrated rigor in security, access control, and secure, compliant handling of sensitive data. • Bachelor's degree in Computer Science, Engineering, or a related field - or equivalent practical experience. PREFERRED QUALIFICATIONS • Experience in financial services or insurance platform work, and familiarity with model risk and regulatory audit expectations. • Databricks administration - Unity Catalog, cluster policies, and Mosaic AI - and familiarity with Azure Machine Learning. • Containerization and orchestration (Docker, Kubernetes; Azure AKS or Container Apps). • Experience with data-quality / observability tooling (e.g., Great Expectations, Monte Carlo, or similar). • Experience automating responsible-AI and model-governance controls. • Relevant certification such as Databricks Certified Data Engineer/ML Engineer, Microsoft Azure DevOps Engineer, or Azure Administrator. $124,500 - $170,000 a year Protective's targeted salary range for this position is $124,500 to $170,000. Actual salaries may vary depending on factors, including but not limited to job location, skills, and experience. The range listed is just one component of Protective's total compensation package for employees. This position also offers additional incentive opportunities through an annual incentive based on individual and Company performance. Employee Benefits: We aim to protect the wellbeing of our employees and their families with a broad benefits offering. In addition to offering comprehensive health, dental and vision insurance, we support emotional wellbeing through mental health benefits and an employee assistance program. Work/life balance is important and Protective offers a variety of paid time away benefits ( e.g. , paid time off, paid parental leave, short-term disability, and a cultural observance day). The financial health of our employees is just as important as physical and emotional health. Some of the financial wellbeing benefits include contributions to healthcare accounts, a pension plan, and a 401(k) plan with Company matching. All employees are encouraged to protect their overall wellbeing by engaging in ProHealth Rewards, Protective's platform to improve wellbeing while earning cash rewards. Eligibility for certain benefits may vary by position in accordance with the terms of the Company's benefit plans. Accommodations for Applicants with a Disability: If you require an accommodation to complete the application and recruitment process due to a disability, please email . This information will be held in confidence and used only to determine an appropriate accommodation for the application and recruitment process. Please note that the above email is solely for individuals with disabilities requesting an accommodation. General employment questions should not be sent through this process. We are proud to be an equal opportunity employer committed to being inclusive and attracting, retaining, and growing an inclusive workforce.
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Rigorous performance evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo's audacious goals. Waymo data scientists work hand-in-hand with engineering teams at each stage of the software development cycle, employing statistical models and developing metrics and measurement frameworks to ensure that the Waymo Driver meets our strict standards for safety, compliance, and driving and service quality. Autonomous driving presents a new paradigm in data science: in addition to leveraging data collected on-road, we generate our own data using state-of-the-art simulation technology-resulting in denser signals and challenging new problems in estimation and experimental design. In this hybrid role you will report to a Data Science Manager. You will: Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of simulation. Develop new metrics, interpret trends, and investigate anomalies in data from simulation and on-road driving. Develop novel statistical methods to handle unique aspects of AV data; e.g. rate estimation with rare events, combining real and synthetic data, etc. Frame and solve ambiguous problems, derive data-driven conclusions, and communicate findings to senior stakeholders. Collaborate with Product and Engineering partners developing the Waymo Driver and Waymo's simulation software; facilitate deployment readiness decisions for both products. You have: Degree in a quantitative field (e.g. Statistics, Mathematics, Physics) 3+ years of industry experience solving data science problems or a PhD in a quantitative field Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: PhD in a quantitative field Experience solving problems related to Autonomous Driving or Ride Hailing Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion models), Traffic Modeling, Safety Evaluation or Prediction The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $170,000-$216,000 USD
09/23/2026
Full time
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Rigorous performance evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo's audacious goals. Waymo data scientists work hand-in-hand with engineering teams at each stage of the software development cycle, employing statistical models and developing metrics and measurement frameworks to ensure that the Waymo Driver meets our strict standards for safety, compliance, and driving and service quality. Autonomous driving presents a new paradigm in data science: in addition to leveraging data collected on-road, we generate our own data using state-of-the-art simulation technology-resulting in denser signals and challenging new problems in estimation and experimental design. In this hybrid role you will report to a Data Science Manager. You will: Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of simulation. Develop new metrics, interpret trends, and investigate anomalies in data from simulation and on-road driving. Develop novel statistical methods to handle unique aspects of AV data; e.g. rate estimation with rare events, combining real and synthetic data, etc. Frame and solve ambiguous problems, derive data-driven conclusions, and communicate findings to senior stakeholders. Collaborate with Product and Engineering partners developing the Waymo Driver and Waymo's simulation software; facilitate deployment readiness decisions for both products. You have: Degree in a quantitative field (e.g. Statistics, Mathematics, Physics) 3+ years of industry experience solving data science problems or a PhD in a quantitative field Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: PhD in a quantitative field Experience solving problems related to Autonomous Driving or Ride Hailing Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion models), Traffic Modeling, Safety Evaluation or Prediction The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $170,000-$216,000 USD
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Rigorous performance evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo's audacious goals. Waymo data scientists work hand-in-hand with engineering teams at each stage of the software development cycle, employing statistical models and developing metrics and measurement frameworks to ensure that the Waymo Driver meets our strict standards for safety, compliance, and driving and service quality. Autonomous driving presents a new paradigm in data science: in addition to leveraging data collected on-road, we generate our own data using state-of-the-art simulation technology-resulting in denser signals and challenging new problems in estimation and experimental design. In this hybrid role you will report to a data science manager. You will: Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of simulation. Develop new metrics, interpret trends, and investigate anomalies in data from simulation and on-road driving. Develop novel statistical methods to handle unique aspects of AV data; e.g. rate estimation with rare events, combining real and synthetic data, etc. Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods. Derive data-driven conclusions and communicate findings to senior stakeholders. Establish yourself as the point-of-contact for a significant project area by using data to drive technical decisions and demonstrate success. Collaborate with Product and Engineering partners developing the Waymo Driver and Waymo's simulation software; facilitate deployment readiness decisions for both products. Mentor other data scientists and provide constructive technical feedback within the team and across Waymo. You have: Degree in a quantitative field (e.g. Statistics, Mathematics, Physics) 5+ years of industry experience solving data science problems, or a PhD in a quantitative field and 3+ years of industry experience Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: PhD in a quantitative field A demonstrated track record of independently driving data science projects to deliver business value Experience solving problems related to Autonomous Driving or Ride Hailing Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion models), Traffic Modeling, Safety Evaluation or Prediction The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $204,000-$259,000 USD
09/23/2026
Full time
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Rigorous performance evaluation of the Waymo Driver is a critical part of scaling our ride hailing service and achieving Waymo's audacious goals. Waymo data scientists work hand-in-hand with engineering teams at each stage of the software development cycle, employing statistical models and developing metrics and measurement frameworks to ensure that the Waymo Driver meets our strict standards for safety, compliance, and driving and service quality. Autonomous driving presents a new paradigm in data science: in addition to leveraging data collected on-road, we generate our own data using state-of-the-art simulation technology-resulting in denser signals and challenging new problems in estimation and experimental design. In this hybrid role you will report to a data science manager. You will: Develop evaluation frameworks for autonomous vehicle performance, for large-scale ML models, and for the quality of simulation. Develop new metrics, interpret trends, and investigate anomalies in data from simulation and on-road driving. Develop novel statistical methods to handle unique aspects of AV data; e.g. rate estimation with rare events, combining real and synthetic data, etc. Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods. Derive data-driven conclusions and communicate findings to senior stakeholders. Establish yourself as the point-of-contact for a significant project area by using data to drive technical decisions and demonstrate success. Collaborate with Product and Engineering partners developing the Waymo Driver and Waymo's simulation software; facilitate deployment readiness decisions for both products. Mentor other data scientists and provide constructive technical feedback within the team and across Waymo. You have: Degree in a quantitative field (e.g. Statistics, Mathematics, Physics) 5+ years of industry experience solving data science problems, or a PhD in a quantitative field and 3+ years of industry experience Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models Demonstrated knowledge of Python/SQL/R data analysis libraries and packages We prefer: PhD in a quantitative field A demonstrated track record of independently driving data science projects to deliver business value Experience solving problems related to Autonomous Driving or Ride Hailing Experience in adjacent relevant areas like Advanced Machine Learning (Deep Learning and Diffusion models), Traffic Modeling, Safety Evaluation or Prediction The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $204,000-$259,000 USD
User Research International is seeking an experienced UX Researcher (5+ years) to lead benchmarking and usability research for AI/ML, cloud, and developer-facing tools. You'll independently design and run structured evaluations that measure usability, efficiency, and developer experience across complex technical workflows. Responsibilities Lead end-to-end benchmark and usability studies (planning protocol design analysis reporting). Evaluate AI/ML tools, APIs, and cloud-based developer platforms. Collaborate with engineers, data scientists, and ML practitioners to uncover workflow friction. Synthesize technical feedback into clear, actionable product recommendations. Deliver high-quality insights while managing multiple studies with minimal oversight. Requirements 5+ years of UX research experience, including independent benchmark or structured usability study ownership. Strong grounding in HCI, study design, and measurement frameworks. Experience researching developer tools, ML workflows, APIs, CLIs, or cloud platforms. Excellent communication skills for technical and non-technical audiences. Highly organized, self-directed, and comfortable working in technical environments. Preferred Familiarity with machine learning concepts, data workflows, or software engineering. Benefits: Employer-paid Health/Vision/Dental 401(k) Paid time off Paid holidays ABOUT US User Research International is a User Experience (UX) consulting research company specializing in usability testing and market research based in Kirkland, Washington. We work with some of the most recognized brands on some of the most cutting-edge technologies, and we help our clients build in-depth understanding of their customers' needs. Our culture is collaborative and we equally value people skills and technical skills. We work in a fast-paced environment with quick turn around and rich variety. Our team is passionate about enabling our clients to make their products and services more usable and accessible. EQUAL OPPORTUNITY EMPLOYER: User Research values diversity and seeks to offer a safe, respectful, enjoyable workplace for all people. User Research International provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, religion, color, national origin, caste, sex, sexual orientation, gender identity or expression, pregnancy, age, genetic information, disability, or veteran/military status.
09/23/2026
Seasonal
User Research International is seeking an experienced UX Researcher (5+ years) to lead benchmarking and usability research for AI/ML, cloud, and developer-facing tools. You'll independently design and run structured evaluations that measure usability, efficiency, and developer experience across complex technical workflows. Responsibilities Lead end-to-end benchmark and usability studies (planning protocol design analysis reporting). Evaluate AI/ML tools, APIs, and cloud-based developer platforms. Collaborate with engineers, data scientists, and ML practitioners to uncover workflow friction. Synthesize technical feedback into clear, actionable product recommendations. Deliver high-quality insights while managing multiple studies with minimal oversight. Requirements 5+ years of UX research experience, including independent benchmark or structured usability study ownership. Strong grounding in HCI, study design, and measurement frameworks. Experience researching developer tools, ML workflows, APIs, CLIs, or cloud platforms. Excellent communication skills for technical and non-technical audiences. Highly organized, self-directed, and comfortable working in technical environments. Preferred Familiarity with machine learning concepts, data workflows, or software engineering. Benefits: Employer-paid Health/Vision/Dental 401(k) Paid time off Paid holidays ABOUT US User Research International is a User Experience (UX) consulting research company specializing in usability testing and market research based in Kirkland, Washington. We work with some of the most recognized brands on some of the most cutting-edge technologies, and we help our clients build in-depth understanding of their customers' needs. Our culture is collaborative and we equally value people skills and technical skills. We work in a fast-paced environment with quick turn around and rich variety. Our team is passionate about enabling our clients to make their products and services more usable and accessible. EQUAL OPPORTUNITY EMPLOYER: User Research values diversity and seeks to offer a safe, respectful, enjoyable workplace for all people. User Research International provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, religion, color, national origin, caste, sex, sexual orientation, gender identity or expression, pregnancy, age, genetic information, disability, or veteran/military status.
About Hightouch Hightouch is an Agentic Marketing Platform powered by the industry-leading Composable CDP. With complete brand context, customer data, and performance history in one place, every marketer finally has the power to build and ship end-to-end campaigns themselves. Teams move faster, stay on brand, and get AI marketing that actually works. Founded in 2019 and headquartered in San Francisco, Hightouch enables marketing teams to analyze performance, brainstorm ideas, and generate creative at a speed and quality that wasn't previously possible. Named a Leader in the 2026 Gartner Magic Quadrant for Customer Data Platforms, Hightouch is trusted by leading enterprises like Domino's, Spotify, Aritzia, Ramp, and PetSmart. At Hightouch, our mission is to help our customers leverage data and AI to grow their businesses. The team is ambitious, impact-driven, efficient - and we believe humility, kindness, and compassion are essential to our success. If you're energized by velocity, obsessed with raising the bar, and want to build alongside people who care deeply about each other and our customers, we'd love to meet you. About the Role We are looking for a developer productivity engineer to take responsibility for our monorepo and the "path to production" for over 50 engineers pushing over 75 commits a day with continuous deployment to production. This presents an exciting challenge where you can apply your expertise in helping teams ship fast and safe to meaningfully improve the productivity of our engineering team. This role also provides a unique opportunity to work on a multi-cloud and multi-region infrastructure that supports a global customer base. Our monorepo is primarily Javascript/Typescript with some Go and Python. While the primary responsibility of this job is developer productivity, to fit in with the team and be productive in our codebase generally, strong computer science and development fundamentals will be required. As part of your onboarding, you'll spend significant time writing and delivering features to gain empathy for the current dev flow. We believe in enabling our engineers to do their best work for our customers by giving them extremely high levels of ownership and autonomy. This comes in different forms: you will own and deliver projects from start to finish, you will work directly with customers to solve their hardest scaling problems, and you will have a lot of influence over what we work on as a team and company. Some of the problems we'll be working on include: Own the build : You'll be the single threaded owner for the build/test/deploy of our software and how each team fits into it Monorepo productivity: Detangle our build/test/deploy patterns so teams can move fast and not block each other. Investigate/implement a tool like turbo repo to speed builds and separate concerns Drive excellence in testing: We need to improve our top-down and team-level views into test coverage + support an ever growing matrix of data sources, data destinations, and enrichment patterns. An excellent engineer in this role will be able to "hold up a mirror" to our dev teams, helping each team understand where they have gaps Multi-Region and Multi-Cloud: Supporting our multi-region and multi-cloud backend, including extending it to launch Hightouch on in new regions to support data residency requirements of our global customer base Operational excellence: Support an increase in our ability to catch issues before they reach production and respond quickly if they do We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $180,000 - $400,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation. About You You are an engineer with a passion for solving hard technical problems that generate real value for customers. You're motivated by high ownership and are comfortable in a fast-paced, startup environment. You've driven significant improvement in the productivity of a 50+ person development team by making high-leverage changes to their build/test/deploy processes. While you likely have some infra chops, this is not an infra role: you have strong development fundamentals and are comfortable driving framework-level improvements across multiple teams. This could take several forms: You've been a member of a developer-productivity team/function for an outstanding development team You've organically become "the build person" at a fast-growing startup and helped bring order to chaos You've personally delivered code that has improved cross-team metrics related to developer productivity (e.g., DORA metrics, coverage, etc) In addition to any of the above, we're looking for someone who can dive into feature code, including complicated backend code, as needed. Interview Process Our goal with the interview process is to balance speed with giving both parties opportunities to assess whether there is a strong mutual fit. We will ask you questions, but we want you to ask us questions! Our technical interviews focus on how you design systems because we believe this is the best way for us to see how you work and for you to see how we collaborate. We don't ask you to write code to solve technical brainteasers that don't appear in your day to day job. Apply: Curl on port 13784 and have followed those instructions before applying. It'll only take a minute! Recruiter Screen: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit System Design Screen: Designing a data processing feature end-to-end. Developer Productivity Skills Interview: We'll dive into your experience making teams productive through a discussion of past projects and tooling you've used. Hiring Manager Interview: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles. System Design Interview: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical. We have limited inbound applications to one application per candidate. You will be auto-rejected if you apply to multiple roles. Please only apply to the position you are most qualified for. E-Verify Statement Hightouch participates in E-Verify. After you join the team, we'll verify your eligibility to work in the U.S. by submitting information from your Form I-9 to the Social Security Administration and, if needed, the Department of Homeland Security. This process happens post-hire only - we never use E-Verify to pre-screen applicants. E-Verify Notice E-Verify Notice (Spanish) Right to Work Notice Right to Work Notice (Spanish)
09/23/2026
Full time
About Hightouch Hightouch is an Agentic Marketing Platform powered by the industry-leading Composable CDP. With complete brand context, customer data, and performance history in one place, every marketer finally has the power to build and ship end-to-end campaigns themselves. Teams move faster, stay on brand, and get AI marketing that actually works. Founded in 2019 and headquartered in San Francisco, Hightouch enables marketing teams to analyze performance, brainstorm ideas, and generate creative at a speed and quality that wasn't previously possible. Named a Leader in the 2026 Gartner Magic Quadrant for Customer Data Platforms, Hightouch is trusted by leading enterprises like Domino's, Spotify, Aritzia, Ramp, and PetSmart. At Hightouch, our mission is to help our customers leverage data and AI to grow their businesses. The team is ambitious, impact-driven, efficient - and we believe humility, kindness, and compassion are essential to our success. If you're energized by velocity, obsessed with raising the bar, and want to build alongside people who care deeply about each other and our customers, we'd love to meet you. About the Role We are looking for a developer productivity engineer to take responsibility for our monorepo and the "path to production" for over 50 engineers pushing over 75 commits a day with continuous deployment to production. This presents an exciting challenge where you can apply your expertise in helping teams ship fast and safe to meaningfully improve the productivity of our engineering team. This role also provides a unique opportunity to work on a multi-cloud and multi-region infrastructure that supports a global customer base. Our monorepo is primarily Javascript/Typescript with some Go and Python. While the primary responsibility of this job is developer productivity, to fit in with the team and be productive in our codebase generally, strong computer science and development fundamentals will be required. As part of your onboarding, you'll spend significant time writing and delivering features to gain empathy for the current dev flow. We believe in enabling our engineers to do their best work for our customers by giving them extremely high levels of ownership and autonomy. This comes in different forms: you will own and deliver projects from start to finish, you will work directly with customers to solve their hardest scaling problems, and you will have a lot of influence over what we work on as a team and company. Some of the problems we'll be working on include: Own the build : You'll be the single threaded owner for the build/test/deploy of our software and how each team fits into it Monorepo productivity: Detangle our build/test/deploy patterns so teams can move fast and not block each other. Investigate/implement a tool like turbo repo to speed builds and separate concerns Drive excellence in testing: We need to improve our top-down and team-level views into test coverage + support an ever growing matrix of data sources, data destinations, and enrichment patterns. An excellent engineer in this role will be able to "hold up a mirror" to our dev teams, helping each team understand where they have gaps Multi-Region and Multi-Cloud: Supporting our multi-region and multi-cloud backend, including extending it to launch Hightouch on in new regions to support data residency requirements of our global customer base Operational excellence: Support an increase in our ability to catch issues before they reach production and respond quickly if they do We are looking for talented, intellectually curious, and motivated individuals who are interested in tackling the problems above. This is a senior role, but we focus on impact and potential for growth more than years of experience. The salary range for this position is $180,000 - $400,000 USD per year, which is location independent in accordance with our remote-first policy. We also offer meaningful equity compensation. About You You are an engineer with a passion for solving hard technical problems that generate real value for customers. You're motivated by high ownership and are comfortable in a fast-paced, startup environment. You've driven significant improvement in the productivity of a 50+ person development team by making high-leverage changes to their build/test/deploy processes. While you likely have some infra chops, this is not an infra role: you have strong development fundamentals and are comfortable driving framework-level improvements across multiple teams. This could take several forms: You've been a member of a developer-productivity team/function for an outstanding development team You've organically become "the build person" at a fast-growing startup and helped bring order to chaos You've personally delivered code that has improved cross-team metrics related to developer productivity (e.g., DORA metrics, coverage, etc) In addition to any of the above, we're looking for someone who can dive into feature code, including complicated backend code, as needed. Interview Process Our goal with the interview process is to balance speed with giving both parties opportunities to assess whether there is a strong mutual fit. We will ask you questions, but we want you to ask us questions! Our technical interviews focus on how you design systems because we believe this is the best way for us to see how you work and for you to see how we collaborate. We don't ask you to write code to solve technical brainteasers that don't appear in your day to day job. Apply: Curl on port 13784 and have followed those instructions before applying. It'll only take a minute! Recruiter Screen: Introductory call with our recruiting team to get to know each other and see if the role could be a good mutual fit System Design Screen: Designing a data processing feature end-to-end. Developer Productivity Skills Interview: We'll dive into your experience making teams productive through a discussion of past projects and tooling you've used. Hiring Manager Interview: Chat with hiring manager about past experiences and future operating preferences to assess fit on company values and operating principles. System Design Interview: Work with the interviewer to architect a system at a conceptual level. The problem will be at a pretty high level - and have both product and customer requirements as well as technical. We have limited inbound applications to one application per candidate. You will be auto-rejected if you apply to multiple roles. Please only apply to the position you are most qualified for. E-Verify Statement Hightouch participates in E-Verify. After you join the team, we'll verify your eligibility to work in the U.S. by submitting information from your Form I-9 to the Social Security Administration and, if needed, the Department of Homeland Security. This process happens post-hire only - we never use E-Verify to pre-screen applicants. E-Verify Notice E-Verify Notice (Spanish) Right to Work Notice Right to Work Notice (Spanish)
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We are looking for a highly technical Senior Staff/Principal Engineer to lead the porting and enablement of critical AI workloads. You will be a primary driver in migrating compute workloads to RISC-V architectures, ensuring our hardware is optimized for real-world application performance. The ideal candidate has a strong background in DevOps, workload porting, or application enablement . While this is an individual contributor role at its core, you will have the opportunity to grow and lead a small, specialized team over time as our workload migration efforts scale. This role is remote, based in the United States or Australia. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A Technical Catalyst: You thrive on the challenge of driving AI hardware porting to RISC-V and making complex software stacks run efficiently on new hardware. Systems Expert: You possess deep knowledge of system software, compilers, or low-level OS internals. You are an expert in ARM or x86 environments and are ready to apply those skills to the RISC-V frontier. A Project Driver: You have the technical authority to lead the implementation of a compute migration to RISC-V through strategic IT and DevOps enablement. Collaborative & Cross-Functional: You enjoy acting as the "technical glue" between IT, DevOps, and AI teams , coordinating complex efforts across boundaries to ensure seamless workload transitions. Architecture Agnostic: You are a systems thinker who understands how to bridge the gap between infrastructure and core silicon engineering. What We Need Education: BS/MS/PhD in Computer Engineering, Electrical Engineering, Computer Science, or a related field. Workload Expertise: Extensive experience in workload porting, DevOps engineering, or application enablement . Systems Fluency: Strong familiarity with CPU architectures and systems design, with a proven track record of troubleshooting and optimizing performance across new architectures. Leadership Qualities: Ability to coordinate across multiple technical teams and the potential to mentor or grow a small engineering pod. Execution Focus: A mindset geared toward technical delivery and methodology development rather than broad community networking. What You Will Learn Gain deep expertise in bleeding-edge RISC-V system software across server and AI-accelerated environments. Directly influence an upcoming project , a high-visibility initiative shaping the future of our internal compute infrastructure. Work at the intersection of AI/ML workloads and hardware/software co-design. Shape the technical roadmap for how the industry adopts RISC-V for high-performance compute. Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
09/23/2026
Full time
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. We are looking for a highly technical Senior Staff/Principal Engineer to lead the porting and enablement of critical AI workloads. You will be a primary driver in migrating compute workloads to RISC-V architectures, ensuring our hardware is optimized for real-world application performance. The ideal candidate has a strong background in DevOps, workload porting, or application enablement . While this is an individual contributor role at its core, you will have the opportunity to grow and lead a small, specialized team over time as our workload migration efforts scale. This role is remote, based in the United States or Australia. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A Technical Catalyst: You thrive on the challenge of driving AI hardware porting to RISC-V and making complex software stacks run efficiently on new hardware. Systems Expert: You possess deep knowledge of system software, compilers, or low-level OS internals. You are an expert in ARM or x86 environments and are ready to apply those skills to the RISC-V frontier. A Project Driver: You have the technical authority to lead the implementation of a compute migration to RISC-V through strategic IT and DevOps enablement. Collaborative & Cross-Functional: You enjoy acting as the "technical glue" between IT, DevOps, and AI teams , coordinating complex efforts across boundaries to ensure seamless workload transitions. Architecture Agnostic: You are a systems thinker who understands how to bridge the gap between infrastructure and core silicon engineering. What We Need Education: BS/MS/PhD in Computer Engineering, Electrical Engineering, Computer Science, or a related field. Workload Expertise: Extensive experience in workload porting, DevOps engineering, or application enablement . Systems Fluency: Strong familiarity with CPU architectures and systems design, with a proven track record of troubleshooting and optimizing performance across new architectures. Leadership Qualities: Ability to coordinate across multiple technical teams and the potential to mentor or grow a small engineering pod. Execution Focus: A mindset geared toward technical delivery and methodology development rather than broad community networking. What You Will Learn Gain deep expertise in bleeding-edge RISC-V system software across server and AI-accelerated environments. Directly influence an upcoming project , a high-visibility initiative shaping the future of our internal compute infrastructure. Work at the intersection of AI/ML workloads and hardware/software co-design. Shape the technical roadmap for how the industry adopts RISC-V for high-performance compute. Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer. This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
P-275 While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations in various cities around the US. At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! The impact you will have: Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory. Coach junior Solutions Architects and teams on use case prioritization and building technical champions. You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform. Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups. Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management. What we look for: 7+ years of presales/customer-facing technical experience. Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity. Ability to influence decision-makers and C-level executives by developing relationships and orchestrating teams to achieve long-term customer success. Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark. Hands-on expertise with complex proofs-of-concept and public cloud platform(s). Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape. Can travel up to 30% when needed. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $139,700-$247,300 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
09/23/2026
Full time
P-275 While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations in various cities around the US. At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! The impact you will have: Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory. Coach junior Solutions Architects and teams on use case prioritization and building technical champions. You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy. Be a 'champion' for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence Platform. Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups. Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management. What we look for: 7+ years of presales/customer-facing technical experience. Know how to engage in complex customer interactions and sales lifecycle in a technical pre-sales capacity. Ability to influence decision-makers and C-level executives by developing relationships and orchestrating teams to achieve long-term customer success. Prior experience with coding in a core programming language (i.e., Python, Java, Scala) and willingness to learn a base level of Spark. Hands-on expertise with complex proofs-of-concept and public cloud platform(s). Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape. Can travel up to 30% when needed. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $139,700-$247,300 USD About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the autonomously driving vehicle (ADV), i.e., the system that "perceives" the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware. You will: Design, implement, and optimize large-scale continual pre-training pipelines for cutting-edge VLM foundation models. Conduct research and development on novel pre-training techniques, focusing on efficiently integrating new, diverse, and multimodal data streams (e.g., visual data from different sensors) into existing models. Develop and rigorously evaluate metrics and methodologies for measuring the performance, and transferability of continually pre-trained foundation models in the context of autonomous driving. Stay current with the latest advancements in large language models, vision-language models, and continual learning, and translate relevant research into production-ready systems. You have: 5+ years of experience in Machine Learning, with a focus on large-scale model development (LLM, VLM, or similar foundation models). Proven expertise in LLM/VLM pre-training, continual learning with large scale datasets. Strong coding proficiency in Python and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch). Hands-on experience with model training, evaluation, and deployment in a production environment. Master's degree in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience. We prefer: Experience in fine-tuning foundation models for autonomous driving or robotics applications Familiarity with large-scale data curation and quality assurance processes for multimodal datasets. Background in autonomous vehicle perception, motion planning, or decision-making systems. Publications in top-tier machine learning or computer vision conferences (e.g., NeurIPS, ICML, CVPR, ICCV, ECCV). PhD in a relevant field. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $170,000-$216,000 USD
09/23/2026
Full time
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the autonomously driving vehicle (ADV), i.e., the system that "perceives" the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware. You will: Design, implement, and optimize large-scale continual pre-training pipelines for cutting-edge VLM foundation models. Conduct research and development on novel pre-training techniques, focusing on efficiently integrating new, diverse, and multimodal data streams (e.g., visual data from different sensors) into existing models. Develop and rigorously evaluate metrics and methodologies for measuring the performance, and transferability of continually pre-trained foundation models in the context of autonomous driving. Stay current with the latest advancements in large language models, vision-language models, and continual learning, and translate relevant research into production-ready systems. You have: 5+ years of experience in Machine Learning, with a focus on large-scale model development (LLM, VLM, or similar foundation models). Proven expertise in LLM/VLM pre-training, continual learning with large scale datasets. Strong coding proficiency in Python and deep learning frameworks (e.g., Jax, TensorFlow, PyTorch). Hands-on experience with model training, evaluation, and deployment in a production environment. Master's degree in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience. We prefer: Experience in fine-tuning foundation models for autonomous driving or robotics applications Familiarity with large-scale data curation and quality assurance processes for multimodal datasets. Background in autonomous vehicle perception, motion planning, or decision-making systems. Publications in top-tier machine learning or computer vision conferences (e.g., NeurIPS, ICML, CVPR, ICCV, ECCV). PhD in a relevant field. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $170,000-$216,000 USD
Application Analyst II - EPIC Beaker AP POSITION SUMMARY: The Applications Analyst II is a business specialist and technology generalist responsible for aligning technology solutions with business strategies. The Applications Analyst II is responsible for proactively identifying opportunities to apply technologies to business processes by informing and advising customers on information system technologies' functionality, costs, benefits, and implementation requirements. The Applications Analyst II functions as technical liaison and broker of services with various vendors. The Applications Analyst II must develop and maintain credibility and effective working relations with both customer management and IT personnel. The Applications Analyst II must demonstrate an understanding of business problems, as well as IT strategies, issues, and priorities. This position requires forward-thinking individuals who seek opportunities to apply technology to improving business processes within strategic system goals. Position: Applications Analyst II Department: Ancillary Systems Schedule: Full Time Location: Remote (We expect remote work with travel to on-site for important meetings, go-live readiness assessments, Beaker go-live, etc ) JOB REQUIREMENTS EDUCATION Associate's degree (or equivalent combination of formal education and experience). Bachelor's degree preferred. EXPERIENCE: Requires at least 2 + years relevant experience in either of the following: Business systems analysis, preferably across multiple hardware and software platforms or Business unit experience that includes working closely with IT in the development and implementation of systems. KNOWLEDGE AND SKILLS: Knowledge of the assigned business area's products and processes. Strong technical knowledge and ability to express complex technical concepts in terms that is understandable to the business. Understanding of project management concepts in planning and implementing multiple projects in a cross functional environment. Strong written communication skills, including project documentation and technical writing. Strong verbal communication skills while interacting with team members, other teams in the IT department, end users, and/or other departments throughout the organization Strong analytical and conceptual skills; a demonstrated track record in new concept development for various projects and complex technical plans. Ability to solve problems often spanning multiple environments in a business area. Understanding of how IT affects an organization and ability to link it to redesigned business process Ability to be a team player; flexible, friendly, congenial, and enthusiastic. Proficiency in Microsoft Office products. Additional experience desired: Previous experience in business process re-engineering or process improvement is desirable, involving broad-based information systems and utilizing tools and techniques to effect business change. Experience in the strategic use of technology in managing and growing a business. Experience in organizing, planning, and executing projects from vision through implementation, involving internal personnel, contractors, and vendors. HL7 knowledge is a plus Compensation Range: $71,500.00- $104,000.00 This range offers an estimate based on the minimum job qualifications. However, our approach to determining base pay is comprehensive, and a broad range of factors is considered when making an offer. This includes education, experience, skills, and certifications/licensures as they directly relate to position requirements; as well as business/organizational needs, internal equity, and market-competitiveness. In addition, BMCHS offers generous total compensation that includes, but is not limited to, benefits (medical, dental, vision, pharmacy), discretionary annual bonuses and merit increases, Flexible Spending Accounts, 403(b) savings matches, paid time off, career advancement opportunities, and resources to support employee and family well-being. NOTE: This range is based on Boston-area data, and is subject to modification based on geographic location. Equal Opportunity Employer/Disabled/Veterans According to the FTC, there has been a rise in employment offer scams. Our current job openings are listed on our website and applications are received only through our website. We do not ask or require downloads of any applications, or "apps" job offers are not extended over text messages or social media platforms. We do not ask individuals to purchase equipment for or prior to employment.
09/23/2026
Full time
Application Analyst II - EPIC Beaker AP POSITION SUMMARY: The Applications Analyst II is a business specialist and technology generalist responsible for aligning technology solutions with business strategies. The Applications Analyst II is responsible for proactively identifying opportunities to apply technologies to business processes by informing and advising customers on information system technologies' functionality, costs, benefits, and implementation requirements. The Applications Analyst II functions as technical liaison and broker of services with various vendors. The Applications Analyst II must develop and maintain credibility and effective working relations with both customer management and IT personnel. The Applications Analyst II must demonstrate an understanding of business problems, as well as IT strategies, issues, and priorities. This position requires forward-thinking individuals who seek opportunities to apply technology to improving business processes within strategic system goals. Position: Applications Analyst II Department: Ancillary Systems Schedule: Full Time Location: Remote (We expect remote work with travel to on-site for important meetings, go-live readiness assessments, Beaker go-live, etc ) JOB REQUIREMENTS EDUCATION Associate's degree (or equivalent combination of formal education and experience). Bachelor's degree preferred. EXPERIENCE: Requires at least 2 + years relevant experience in either of the following: Business systems analysis, preferably across multiple hardware and software platforms or Business unit experience that includes working closely with IT in the development and implementation of systems. KNOWLEDGE AND SKILLS: Knowledge of the assigned business area's products and processes. Strong technical knowledge and ability to express complex technical concepts in terms that is understandable to the business. Understanding of project management concepts in planning and implementing multiple projects in a cross functional environment. Strong written communication skills, including project documentation and technical writing. Strong verbal communication skills while interacting with team members, other teams in the IT department, end users, and/or other departments throughout the organization Strong analytical and conceptual skills; a demonstrated track record in new concept development for various projects and complex technical plans. Ability to solve problems often spanning multiple environments in a business area. Understanding of how IT affects an organization and ability to link it to redesigned business process Ability to be a team player; flexible, friendly, congenial, and enthusiastic. Proficiency in Microsoft Office products. Additional experience desired: Previous experience in business process re-engineering or process improvement is desirable, involving broad-based information systems and utilizing tools and techniques to effect business change. Experience in the strategic use of technology in managing and growing a business. Experience in organizing, planning, and executing projects from vision through implementation, involving internal personnel, contractors, and vendors. HL7 knowledge is a plus Compensation Range: $71,500.00- $104,000.00 This range offers an estimate based on the minimum job qualifications. However, our approach to determining base pay is comprehensive, and a broad range of factors is considered when making an offer. This includes education, experience, skills, and certifications/licensures as they directly relate to position requirements; as well as business/organizational needs, internal equity, and market-competitiveness. In addition, BMCHS offers generous total compensation that includes, but is not limited to, benefits (medical, dental, vision, pharmacy), discretionary annual bonuses and merit increases, Flexible Spending Accounts, 403(b) savings matches, paid time off, career advancement opportunities, and resources to support employee and family well-being. NOTE: This range is based on Boston-area data, and is subject to modification based on geographic location. Equal Opportunity Employer/Disabled/Veterans According to the FTC, there has been a rise in employment offer scams. Our current job openings are listed on our website and applications are received only through our website. We do not ask or require downloads of any applications, or "apps" job offers are not extended over text messages or social media platforms. We do not ask individuals to purchase equipment for or prior to employment.
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's Release Evaluation org ensures that each version of the Waymo Driver is safe before it hits the road. We build automated pipelines to solve the long tail of rare and exceptional scenarios in autonomous driving, looking for needles in a haystack under both time and resource constraints. Within Release Evaluation, the Sampling and Efficiency team applies importance sampling techniques and machine learning to maximize the statistical efficiency of these discovery pipelines. You will: Develop importance sampling techniques that enable our evaluation pipelines to deliver better signals with fewer resources. Find signals in our logs and simulations that might help us to more efficiently discover rare and important events. Build systems that systematically optimize multiple objectives under resource constraints. Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions. Champion code health and best practices in a large and complex code base You have: BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area Fluency with probability and statistics Strong self-motivation to navigate complex systems and pursue open-ended problems to completion 2-3 years of experience with Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL Performing statistical analyses Building data processing pipelines Writing, reviewing, and merging code following industry standards for code health and maintainability We prefer: Experience programming in C++ Experience developing and evaluating sampling methods Experience designing, training, evaluating, and applying ML models Experience working in the AV industry PhD in a quantitative field The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $170,000-$216,000 USD
09/23/2026
Full time
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's Release Evaluation org ensures that each version of the Waymo Driver is safe before it hits the road. We build automated pipelines to solve the long tail of rare and exceptional scenarios in autonomous driving, looking for needles in a haystack under both time and resource constraints. Within Release Evaluation, the Sampling and Efficiency team applies importance sampling techniques and machine learning to maximize the statistical efficiency of these discovery pipelines. You will: Develop importance sampling techniques that enable our evaluation pipelines to deliver better signals with fewer resources. Find signals in our logs and simulations that might help us to more efficiently discover rare and important events. Build systems that systematically optimize multiple objectives under resource constraints. Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions. Champion code health and best practices in a large and complex code base You have: BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area Fluency with probability and statistics Strong self-motivation to navigate complex systems and pursue open-ended problems to completion 2-3 years of experience with Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL Performing statistical analyses Building data processing pipelines Writing, reviewing, and merging code following industry standards for code health and maintainability We prefer: Experience programming in C++ Experience developing and evaluating sampling methods Experience designing, training, evaluating, and applying ML models Experience working in the AV industry PhD in a quantitative field The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $170,000-$216,000 USD
Hi, we're The Browser Company and we're building a better way to use the internet. Browsers are unique in that they are one of the only pieces of software that you share with your parents as well as your kids. Which makes sense, they're our doorway to the most important things - through them we socialize with loved ones, work on our passion projects, and explore our curiosities. But on their own, they don't actually do a whole lot, they're kind of just there. They don't help us organize our messy lives or make it easier to compose our ideas. We believe that the browser could do so much more - it can empower and support the amazing things we do on the internet. That's why we're building one: a browser that can help us grow, create, and stay curious. To accomplish this lofty task, we're building a diverse team of people from different backgrounds and experiences. This isn't optional, it's crucial to our mission, as we need a wide range of perspectives to challenge our assumptions and shape our browser through a bold, creative lens. With that in mind, we especially encourage women, people of color, and others from historically marginalized groups to apply. About the Role Building software is changing. With modern AI coding tools and automated reviewers, the bottlenecks in shipping products are shifting from "how fast can you type" to "how have you designed the system that writes, reviews, and ships the code." At The Browser Company, how we build is as important, and ultimately as defensible, as what we build. We're well into rebuilding how we build. We've been investing deeply in an AI-native development stack: a managed environment for planning, code understanding, code generation, code-review that turns our way of working into compounding leverage for every engineer and team. The industry is starting to move in this direction - building the software factory that builds the product rather than building the product directly - and in many ways we're ahead of the pack. We already have fantastic mechanisms in production: we run agents overnight to do large projects for us, fix crashes, and do our Chromium upgrades. Agent write almost all of our code, debug issues, and handle most of our code-review. The work now is to treat this as a product, improving the ergonomics, flows, latency, and cost of these systems as we iterate on our internal software factory and build into the future. As a Staff Software Engineer, Developer Experience at The Browser Company, you won't just maintain tools or CI pipelines. You'll help build and maintain our software factory, and shape the future of how we build Dia. Overall you will Build and evolve the "build how we build" platform: an internal SaaS-like experience where engineers and non-engineers can describe what they want, and our system realizes the rest. Partner with AI and infra teams to deepen how we wire together the pieces already in production (AI coding tools, virtualized environments, CI, AI code reviewers, evals, and prompt and model optimization) into a cohesive, opinionated product that our teams love to use. Improve the ergonomics, latency, and cost of the systems we already run, and define success metrics that let us iterate quickly based on real usage and feedback from our engineers. Turn our DevEx stack into true leverage, so that every engineer and PM can move with 10x more impact. Set the technical direction and raise the engineering bar for how we build, influencing peers across teams through your work rather than through a reporting line. Technical Projects you'd shape with us Agentic SDLC: BCNY has rapidly adopted agents and frontier models, and we believe they can provide immense leverage for engineers. Defining how agents integrate into code review, deployment, and monitoring, and building the tooling to remove execution burden from engineers, is an ongoing effort. Agent platform : Giving every team the ability to build agents with access to exactly what they need, so in-house agents can take on work like incident management and knowledge search. Making the platform easy to use is how we drive adoption. Compute infrastructure : Scaling our bespoke macOS, Windows, and Linux compute so agents and humans can verify, prototype, and experiment. Expanding job scheduling and leasing primitives to unlock new ways of building and validating Dia. Qualifications 5+ years of experience with developer tools and build environments, open-source developer tooling, or low-level systems experience. You're passionate about building tools and systems that make other engineers more productive and strive to make them elegant and maintainable. You operate with staff-level autonomy and influence: you set technical direction, make sound tradeoffs independently, and level up the engineers around you. You thrive in a high-trust, high-ambiguity environment: you seek feedback, but you don't need hand-holding. We're primarily focused on hiring in North American time zones and require that folks have 4+ hours of overlap time with team members in Eastern Time Zone. Compensation and Benefits Our total compensation for full-time employees includes base salary, equity, and comprehensive benefits. The annual base salary range for this role is $265,000 - $290,000 USD . The final offer will depend on your experience, expertise, and interview performance. Our goal is simple: if it feels like the right mutual fit, compensation shouldn't be the thing that gets in the way. We've built a small, talent-dense team who cares deeply about their craft, and we pay competitively in line with current market benchmarks. Benefits. We offer best-in-class benefits () designed to support you, your family, and your life outside of work. Think big-company perks with startup-style impact, ownership, and ways of working - so you have the space and support to do the best work of your career. Location. We're a remote-friendly company and can hire in the US or Canada. If you live in New York (or want to visit), you're welcome to work from our office in Williamsburg. The Browser Company is an ambitious team of close to 100 people (and growing!) who are passionate about building great products. We are a remote-first, distributed team, with the option to work from office in Brooklyn, New York. We strongly support diversity and encourage people from all backgrounds to apply. To read more about what we value as a company, check out Notes on Roadtrips on our blog.
09/23/2026
Full time
Hi, we're The Browser Company and we're building a better way to use the internet. Browsers are unique in that they are one of the only pieces of software that you share with your parents as well as your kids. Which makes sense, they're our doorway to the most important things - through them we socialize with loved ones, work on our passion projects, and explore our curiosities. But on their own, they don't actually do a whole lot, they're kind of just there. They don't help us organize our messy lives or make it easier to compose our ideas. We believe that the browser could do so much more - it can empower and support the amazing things we do on the internet. That's why we're building one: a browser that can help us grow, create, and stay curious. To accomplish this lofty task, we're building a diverse team of people from different backgrounds and experiences. This isn't optional, it's crucial to our mission, as we need a wide range of perspectives to challenge our assumptions and shape our browser through a bold, creative lens. With that in mind, we especially encourage women, people of color, and others from historically marginalized groups to apply. About the Role Building software is changing. With modern AI coding tools and automated reviewers, the bottlenecks in shipping products are shifting from "how fast can you type" to "how have you designed the system that writes, reviews, and ships the code." At The Browser Company, how we build is as important, and ultimately as defensible, as what we build. We're well into rebuilding how we build. We've been investing deeply in an AI-native development stack: a managed environment for planning, code understanding, code generation, code-review that turns our way of working into compounding leverage for every engineer and team. The industry is starting to move in this direction - building the software factory that builds the product rather than building the product directly - and in many ways we're ahead of the pack. We already have fantastic mechanisms in production: we run agents overnight to do large projects for us, fix crashes, and do our Chromium upgrades. Agent write almost all of our code, debug issues, and handle most of our code-review. The work now is to treat this as a product, improving the ergonomics, flows, latency, and cost of these systems as we iterate on our internal software factory and build into the future. As a Staff Software Engineer, Developer Experience at The Browser Company, you won't just maintain tools or CI pipelines. You'll help build and maintain our software factory, and shape the future of how we build Dia. Overall you will Build and evolve the "build how we build" platform: an internal SaaS-like experience where engineers and non-engineers can describe what they want, and our system realizes the rest. Partner with AI and infra teams to deepen how we wire together the pieces already in production (AI coding tools, virtualized environments, CI, AI code reviewers, evals, and prompt and model optimization) into a cohesive, opinionated product that our teams love to use. Improve the ergonomics, latency, and cost of the systems we already run, and define success metrics that let us iterate quickly based on real usage and feedback from our engineers. Turn our DevEx stack into true leverage, so that every engineer and PM can move with 10x more impact. Set the technical direction and raise the engineering bar for how we build, influencing peers across teams through your work rather than through a reporting line. Technical Projects you'd shape with us Agentic SDLC: BCNY has rapidly adopted agents and frontier models, and we believe they can provide immense leverage for engineers. Defining how agents integrate into code review, deployment, and monitoring, and building the tooling to remove execution burden from engineers, is an ongoing effort. Agent platform : Giving every team the ability to build agents with access to exactly what they need, so in-house agents can take on work like incident management and knowledge search. Making the platform easy to use is how we drive adoption. Compute infrastructure : Scaling our bespoke macOS, Windows, and Linux compute so agents and humans can verify, prototype, and experiment. Expanding job scheduling and leasing primitives to unlock new ways of building and validating Dia. Qualifications 5+ years of experience with developer tools and build environments, open-source developer tooling, or low-level systems experience. You're passionate about building tools and systems that make other engineers more productive and strive to make them elegant and maintainable. You operate with staff-level autonomy and influence: you set technical direction, make sound tradeoffs independently, and level up the engineers around you. You thrive in a high-trust, high-ambiguity environment: you seek feedback, but you don't need hand-holding. We're primarily focused on hiring in North American time zones and require that folks have 4+ hours of overlap time with team members in Eastern Time Zone. Compensation and Benefits Our total compensation for full-time employees includes base salary, equity, and comprehensive benefits. The annual base salary range for this role is $265,000 - $290,000 USD . The final offer will depend on your experience, expertise, and interview performance. Our goal is simple: if it feels like the right mutual fit, compensation shouldn't be the thing that gets in the way. We've built a small, talent-dense team who cares deeply about their craft, and we pay competitively in line with current market benchmarks. Benefits. We offer best-in-class benefits () designed to support you, your family, and your life outside of work. Think big-company perks with startup-style impact, ownership, and ways of working - so you have the space and support to do the best work of your career. Location. We're a remote-friendly company and can hire in the US or Canada. If you live in New York (or want to visit), you're welcome to work from our office in Williamsburg. The Browser Company is an ambitious team of close to 100 people (and growing!) who are passionate about building great products. We are a remote-first, distributed team, with the option to work from office in Brooklyn, New York. We strongly support diversity and encourage people from all backgrounds to apply. To read more about what we value as a company, check out Notes on Roadtrips on our blog.
About Blue Water Thinking Guided by our principles of value generation, continuous innovation, customer-centricity, and vested collaboration, Blue Water Thinking proudly supports our Federal clients in achieving their Agency goals. Founded by a decorated twenty-eight year Veteran of the United States Army, Blue Water Thinking understands and supports the mission of our Nation's war fighters, Veterans, their families and caretakers. Leveraging our executive team's military experience and private and public sector consulting expertise, Blue Water Thinking takes an integrated "one-team" approach and brings to bear best-fit solutions, thought leadership, and grit to meet our client's transformational needs. Fueled by our values of integrity, respect, professionalism, stewardship and customer service, the Blue Water Thinking team understands the power of the human connection, collaboration, humility and loyalty to one another, our clients and industry partners. Lastly, our formula for success is simple: Build something good, take care of our people, keep our clients satisfied, nurture our work ethic and reputation, build long-lasting partnerships, enjoy what we do and give back as much as possible. Job Description: Blue Water Thinking is seeking an experienced and dedicated Jr. Program Analyst to join our team, supporting the Integrated Healthcare Transformation (IHT) initiative. The primary responsibility of this role is to support the Veterans Health Administration (VHA) in program planning, audits, and evaluations related to various healthcare programs and projects. Primary Responsibilities: Support program analysis and the development of documentation for healthcare initiatives. Assist in strategic planning and coordination efforts across multiple project stakeholders. Contribute to the creation and maintenance of integrated master schedules. Support event planning and execution related to program milestones and stakeholder engagement. Assist with Congressional Affairs-related support, including the preparation of reports and briefings. Analyze and report on program metrics to assess performance and outcomes. Provide administrative and technical support for Financial Management Systems. Assist in identifying risks and developing mitigation strategies for program success. Minimum Qualifications: Bachelor's degree (BA/BS). Minimum of 3 years of relevant professional experience in program or project analysis. Strong organizational skills with the ability to manage multiple priorities. Excellent verbal and written communication skills. Demonstrated ability to work both independently and in team settings. Experience using Microsoft Office tools (Word, Excel, PowerPoint, Outlook). Strong analytical and problem-solving skills to support audits, evaluations, and risk assessments. Preferred Qualifications: Experience working with or supporting the Department of Veterans Affairs or other federal healthcare agencies. Familiarity with Financial Management Systems or government budgeting processes. Exposure to strategic planning tools or master scheduling platforms (e.g., MS Project, Smartsheet). Understanding of healthcare operations or Veterans Health Administration (VHA) systems. Eligibility: Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. Must be able to obtain and maintain the required federal public trust clearance for this role. Compensation: Salary for this position is determined by various factors, including but not limited to, location, the candidate's particular combination of knowledge, skills, competencies and experience, as well as contract specific affordability and organizational requirements. The proposed salary range for this position is outlined below. Salary range: $60,000 - $80,000 Benefits: Blue Water Thinking offers a comprehensive benefits package including health insurance (medical, dental, and vision), paid time off, Federal holidays and matching 401(k) plan. This role is an excellent opportunity to support innovative healthcare transformation efforts that directly impact the lives of our Veterans. Reasonable Accommodation for Applicants Blue Water Thinking is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the application and hiring process. If you require a reasonable accommodation to search for a position, complete an application, or participate in the interview process, please contact Resource Management at . Requests for accommodation will be handled promptly and confidentially in accordance with applicable law. Our Commitment to Equal Employment Opportunity. Blue Water Thinking is an Equal Opportunity Employer. We recruit, hire, train, and promote qualified individuals without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, genetic information, or any other characteristic protected by applicable federal, state, or local law. Applying for this Job: Resume must be submitted in word document format and must include dates in each section (experience, education, certifications ) Candidates must fill out the below form to the best of their knowledge
09/23/2026
Full time
About Blue Water Thinking Guided by our principles of value generation, continuous innovation, customer-centricity, and vested collaboration, Blue Water Thinking proudly supports our Federal clients in achieving their Agency goals. Founded by a decorated twenty-eight year Veteran of the United States Army, Blue Water Thinking understands and supports the mission of our Nation's war fighters, Veterans, their families and caretakers. Leveraging our executive team's military experience and private and public sector consulting expertise, Blue Water Thinking takes an integrated "one-team" approach and brings to bear best-fit solutions, thought leadership, and grit to meet our client's transformational needs. Fueled by our values of integrity, respect, professionalism, stewardship and customer service, the Blue Water Thinking team understands the power of the human connection, collaboration, humility and loyalty to one another, our clients and industry partners. Lastly, our formula for success is simple: Build something good, take care of our people, keep our clients satisfied, nurture our work ethic and reputation, build long-lasting partnerships, enjoy what we do and give back as much as possible. Job Description: Blue Water Thinking is seeking an experienced and dedicated Jr. Program Analyst to join our team, supporting the Integrated Healthcare Transformation (IHT) initiative. The primary responsibility of this role is to support the Veterans Health Administration (VHA) in program planning, audits, and evaluations related to various healthcare programs and projects. Primary Responsibilities: Support program analysis and the development of documentation for healthcare initiatives. Assist in strategic planning and coordination efforts across multiple project stakeholders. Contribute to the creation and maintenance of integrated master schedules. Support event planning and execution related to program milestones and stakeholder engagement. Assist with Congressional Affairs-related support, including the preparation of reports and briefings. Analyze and report on program metrics to assess performance and outcomes. Provide administrative and technical support for Financial Management Systems. Assist in identifying risks and developing mitigation strategies for program success. Minimum Qualifications: Bachelor's degree (BA/BS). Minimum of 3 years of relevant professional experience in program or project analysis. Strong organizational skills with the ability to manage multiple priorities. Excellent verbal and written communication skills. Demonstrated ability to work both independently and in team settings. Experience using Microsoft Office tools (Word, Excel, PowerPoint, Outlook). Strong analytical and problem-solving skills to support audits, evaluations, and risk assessments. Preferred Qualifications: Experience working with or supporting the Department of Veterans Affairs or other federal healthcare agencies. Familiarity with Financial Management Systems or government budgeting processes. Exposure to strategic planning tools or master scheduling platforms (e.g., MS Project, Smartsheet). Understanding of healthcare operations or Veterans Health Administration (VHA) systems. Eligibility: Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. Must be able to obtain and maintain the required federal public trust clearance for this role. Compensation: Salary for this position is determined by various factors, including but not limited to, location, the candidate's particular combination of knowledge, skills, competencies and experience, as well as contract specific affordability and organizational requirements. The proposed salary range for this position is outlined below. Salary range: $60,000 - $80,000 Benefits: Blue Water Thinking offers a comprehensive benefits package including health insurance (medical, dental, and vision), paid time off, Federal holidays and matching 401(k) plan. This role is an excellent opportunity to support innovative healthcare transformation efforts that directly impact the lives of our Veterans. Reasonable Accommodation for Applicants Blue Water Thinking is committed to providing reasonable accommodations to qualified individuals with disabilities throughout the application and hiring process. If you require a reasonable accommodation to search for a position, complete an application, or participate in the interview process, please contact Resource Management at . Requests for accommodation will be handled promptly and confidentially in accordance with applicable law. Our Commitment to Equal Employment Opportunity. Blue Water Thinking is an Equal Opportunity Employer. We recruit, hire, train, and promote qualified individuals without regard to race, color, religion, sex, national origin, age, disability, protected veteran status, genetic information, or any other characteristic protected by applicable federal, state, or local law. Applying for this Job: Resume must be submitted in word document format and must include dates in each section (experience, education, certifications ) Candidates must fill out the below form to the best of their knowledge
About Legion Let's be real, AI isn't magic; Legion was built to move beyond AI hype-delivering secure, reliable systems that work alongside the people tackling the world's most critical challenges. Born from a Department of Defense partnership and trusted by leaders across government and enterprise, Legion embeds intelligence inside complex systems, unlocking data, accelerating human workflows, and strengthening mission-critical systems. We don't replace workflows-we optimize them, ensuring quality, efficiency, and reliability inside the platforms our partners already use. With world-class collaborators like Palantir, Nvidia, HPE, and Oracle, we're building intelligent infrastructure that enhances human capability and drives impact at the edge and across a range of enterprises. We're looking for bold thinkers and doers to join us in shaping the future of AI that's secure, grounded, and built to work. Staff Applied Machine Learning Engineer (Remote USA) This role requires expert level in development and deployment of machine learning models US Citizenship or Greencard (Permanent US Residency) is required due to US Government contract requirements You must be domiciled in the U.S. (must live permanently and maintain home address in the US) As a step in the application process you will be required to provide legally authorized Identification to show verification of eligibility through third party provider CLEAR ID Job Summary: In this role, you will leverage your expertise in AI/ML engineering to design, develop, and deploy innovative machine learning and algorithmic solutions. If you are adept at building models that solve hard problems, we encourage you to apply. You will collaborate closely with platform engineers and product partners, bringing a strong product orientation to your ML work. Responsibilities: Lead the development of machine learning models and data-driven algorithms for high impact projects Lead the design and development of complex systems involving knowledge graphs and advanced entity detection Collaborate with product and platform teams to own ML solutions end-to-end Understand the runtime complexity of algorithms and the cost to run ML models at a production scale Clearly communicate modeling decisions, tradeoffs, and limitations to technical and non-technical stakeholders Build, deliver, and maintain enterprise products, ensuring they meet high-quality standards while shipping fast Take ownership of your work, from design to implementation and maintenance, and drive projects to successful completion Support production systems, handling debugging challenges in distributed systems to ensure reliability and uptime Adapt quickly, bringing in latest developments in AI and machine learning, and proactively apply this knowledge to drive innovation within the company Required Skills and Qualifications: US Citizenship or Greencard is required due to US Government contract requirements Bachelor's or Master's degree in Computer Science, Machine Learning, NLP. PhD is preferred. 10+ years of experience in ML engineering with a proven track record of building models for large-scale systems Experience building and supporting knowledge graph and semantic representation systems Proven experience designing, building, evaluating, and optimizing Agentic AI systems, including reasoning loops, tool use, orchestration patterns, context management Strong communication skills and the ability to collaborate effectively with cross-functional teams Comfortable supporting production systems and debugging challenges in distributed systems Demonstrated effectiveness in using AI tooling to accelerate research and development workflows Growth mindset and low ego- you're eager to pick up new tools and technologies, learn from others, and being open to changing course when it's right Drive to foster a culture of collaboration, psychological safety, and technical excellence Strong advocate for inclusion in technical discussions at all levels Preferred Qualifications: Start-up experience or comfort in 0 1 product environments. Familiarity with Kubernetes is a plus. Experience integrating machine learning models and data driven algorithms into larger system architectures. Compensation Information $200,000-$240,000 USD Equal Opportunity Statement Legion provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
09/23/2026
Full time
About Legion Let's be real, AI isn't magic; Legion was built to move beyond AI hype-delivering secure, reliable systems that work alongside the people tackling the world's most critical challenges. Born from a Department of Defense partnership and trusted by leaders across government and enterprise, Legion embeds intelligence inside complex systems, unlocking data, accelerating human workflows, and strengthening mission-critical systems. We don't replace workflows-we optimize them, ensuring quality, efficiency, and reliability inside the platforms our partners already use. With world-class collaborators like Palantir, Nvidia, HPE, and Oracle, we're building intelligent infrastructure that enhances human capability and drives impact at the edge and across a range of enterprises. We're looking for bold thinkers and doers to join us in shaping the future of AI that's secure, grounded, and built to work. Staff Applied Machine Learning Engineer (Remote USA) This role requires expert level in development and deployment of machine learning models US Citizenship or Greencard (Permanent US Residency) is required due to US Government contract requirements You must be domiciled in the U.S. (must live permanently and maintain home address in the US) As a step in the application process you will be required to provide legally authorized Identification to show verification of eligibility through third party provider CLEAR ID Job Summary: In this role, you will leverage your expertise in AI/ML engineering to design, develop, and deploy innovative machine learning and algorithmic solutions. If you are adept at building models that solve hard problems, we encourage you to apply. You will collaborate closely with platform engineers and product partners, bringing a strong product orientation to your ML work. Responsibilities: Lead the development of machine learning models and data-driven algorithms for high impact projects Lead the design and development of complex systems involving knowledge graphs and advanced entity detection Collaborate with product and platform teams to own ML solutions end-to-end Understand the runtime complexity of algorithms and the cost to run ML models at a production scale Clearly communicate modeling decisions, tradeoffs, and limitations to technical and non-technical stakeholders Build, deliver, and maintain enterprise products, ensuring they meet high-quality standards while shipping fast Take ownership of your work, from design to implementation and maintenance, and drive projects to successful completion Support production systems, handling debugging challenges in distributed systems to ensure reliability and uptime Adapt quickly, bringing in latest developments in AI and machine learning, and proactively apply this knowledge to drive innovation within the company Required Skills and Qualifications: US Citizenship or Greencard is required due to US Government contract requirements Bachelor's or Master's degree in Computer Science, Machine Learning, NLP. PhD is preferred. 10+ years of experience in ML engineering with a proven track record of building models for large-scale systems Experience building and supporting knowledge graph and semantic representation systems Proven experience designing, building, evaluating, and optimizing Agentic AI systems, including reasoning loops, tool use, orchestration patterns, context management Strong communication skills and the ability to collaborate effectively with cross-functional teams Comfortable supporting production systems and debugging challenges in distributed systems Demonstrated effectiveness in using AI tooling to accelerate research and development workflows Growth mindset and low ego- you're eager to pick up new tools and technologies, learn from others, and being open to changing course when it's right Drive to foster a culture of collaboration, psychological safety, and technical excellence Strong advocate for inclusion in technical discussions at all levels Preferred Qualifications: Start-up experience or comfort in 0 1 product environments. Familiarity with Kubernetes is a plus. Experience integrating machine learning models and data driven algorithms into larger system architectures. Compensation Information $200,000-$240,000 USD Equal Opportunity Statement Legion provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Company Description Zayo provides mission-critical bandwidth to the world's most impactful companies, fueling the innovations that are transforming our society. Zayo's 141,000-mile network in North America and Europe includes extensive metro connectivity to thousands of buildings and data centers. Zayo's communications infrastructure solutions include dark fiber, private data networks, wavelengths, Ethernet, and dedicated Internet access. Zayo serves wireless and wireline carriers, media, tech, content, finance, healthcare and other large enterprises. Do you dream of IP addresses and want to build tools for the networks that power the future? Are you passionate about automating repetitive tasks for users and delighting them with easy buttons? Are you a Front-End Developer? If so, then we want you on our team! We're looking for a talented Software Engineer/Network Automation (Front End Development) to join our growing Network Automation team. In this role, you'll be a key player in building, scaling, and automating the next generation of our network tooling infrastructure. Responsibilities Design, build, and maintain innovative tools and solutions to meet evolving business needs. This could be something as simple as developing a Mustache email template library for streamlined responses, or as complex as ML tools for automated troubleshooting Leverage open-source automation tools and scripting languages in commercial tools (e.g., Python, Ansible, ServiceNow, Salesforce, etc) to streamline NOC information gathering, internal communication, and communication with customers Contribute to solving complex technical and process problems, such as mass customer communication, automating responses to trouble tickets, and injecting enrichment information into trouble tickets Refactor and consolidate existing tools to be a cohesive suite of tools that improve ease of use and reduce swivel-chairing to get the job done Collaborate with cross-functional teams (DevOps, Security, SRE) to ensure security and optimal application performance Own new features through the project lifecycle, working collaboratively with a team of software developers to ensure timely delivery of high-quality software solutions Stay up to date on emerging network technologies and best practices, becoming the beacon for best practices and efficient processes through the organization Qualifications Self-motivated and demonstrates a strong attention to detail. Experience working with various databases such as Postgres, MySQL, MongoDB, and Oracle Experience with network automation tools and scripting languages (Python, Ansible, Terraform) Experience in both building and integrating with RESTful APIs Experience with async processing and message bus communications (RabbitMQ, Kafka) Experience creating and executing automated software testing Strong abilities on the Linux command line, working with various flavors of Linux and Docker/Kubernetes Strong understanding of applied statistics and the ability to code systems that identify outlier behavior in large systems. Previous experience delivering, maintaining and promoting a production software product Excellent communication, collaboration skills, and experience using a variety of remote collaboration tools including Jira, Confluence, Google Suite, Zoom, etc Experience using Git for code management, review and deployment A passion for tackling complex problems and combining technical and process solutions Bonus Points if you have: Network Automation Experience Experience working with various network device vendors (via API or Netconf) including Juniper, Nokia, Infinera, Ciena, Fujitsu and Cisco Command-Line experience with networking equipment (Juniper, Nokia, etc.) Experience with various network orchestration platforms, such as Ciena Blue Planet MDSO, Cisco NSO, or others Experience with monitoring platforms such as SevOne, Assure1, and Nagios Certifications such as CCNA, JNCIP, or other networking certifications Experience with Perl Education & Experience Bachelor's degree in Computer Science, Networking, or a related field (or equivalent experience) Minimum of seven (7) years of experience in software development with a variety of languages such as Python, Javascript, SQL, HTML, and GraphQL Estimated base salary range: $112,800 - $135,000 USD/annually. Work Authorization Requirement: Applicants must be currently authorized to work in the United States on a full-time basis. This position is not eligible for employer-sponsored work authorization, such as OPT, TN, H1B or any other type of work visa, now or in the future. The base pay range shown is a guideline and reasonable estimate for this role. It takes into account the wide variety of factors that are considered in making compensation decisions. Actual compensation offered may vary from the posted range based upon geographic location, work experience, skill level, certifications, and other business and organizational needs. Non- sales roles may be eligible to participate in a discretionary annual incentive plan. Sales roles may be eligible to participate in a sales incentive plan. Additionally, this position may be eligible for certain benefits, such as health insurance, life insurance, disability retirement plans, paid time off. The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled. Benefits, Rewards & Wellness Excellent Health, Dental & Vision Insurance Retirement 401(k) Savings Plan Generous paid time off policy including paid parental leave Zayo is an equal opportunity employer to all protected groups, including protected veterans and individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact us. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. As part of the application, hiring, onboarding, and/or employment process, Zayo or its affiliates, partners, and vendors may collect, store, and use biometric identifiers and biometric information (collectively, "Biometric Data"), such as fingerprints, facial geometry scans or other unique biological characteristics. Zayo uses CLEAR1, a third-party identity verification service, to verify applicant identity during the hiring process. CLEAR1 may collect Biometric Data, including facial geometry scans and/or other biometric identifiers, to authenticate your identity. Biometric Data will be retained pursuant to CLEAR1's policies, which can be found here: Zayo will not sell, lease, trade, or otherwise profit from any applicant's or employee's Biometric Data. By proceeding with your application, you acknowledge this disclosure. Prior to any collection of Biometric Data - including through CLEAR - you may be presented with a separate consent form and asked to provide your written authorization in accordance with applicable federal, state, and local laws, including the Illinois Biometric Information Privacy Act (BIPA), the Texas Capture or Use of Biometric Identifier Act (CUBI), and other applicable biometric privacy statutes.
09/23/2026
Full time
Company Description Zayo provides mission-critical bandwidth to the world's most impactful companies, fueling the innovations that are transforming our society. Zayo's 141,000-mile network in North America and Europe includes extensive metro connectivity to thousands of buildings and data centers. Zayo's communications infrastructure solutions include dark fiber, private data networks, wavelengths, Ethernet, and dedicated Internet access. Zayo serves wireless and wireline carriers, media, tech, content, finance, healthcare and other large enterprises. Do you dream of IP addresses and want to build tools for the networks that power the future? Are you passionate about automating repetitive tasks for users and delighting them with easy buttons? Are you a Front-End Developer? If so, then we want you on our team! We're looking for a talented Software Engineer/Network Automation (Front End Development) to join our growing Network Automation team. In this role, you'll be a key player in building, scaling, and automating the next generation of our network tooling infrastructure. Responsibilities Design, build, and maintain innovative tools and solutions to meet evolving business needs. This could be something as simple as developing a Mustache email template library for streamlined responses, or as complex as ML tools for automated troubleshooting Leverage open-source automation tools and scripting languages in commercial tools (e.g., Python, Ansible, ServiceNow, Salesforce, etc) to streamline NOC information gathering, internal communication, and communication with customers Contribute to solving complex technical and process problems, such as mass customer communication, automating responses to trouble tickets, and injecting enrichment information into trouble tickets Refactor and consolidate existing tools to be a cohesive suite of tools that improve ease of use and reduce swivel-chairing to get the job done Collaborate with cross-functional teams (DevOps, Security, SRE) to ensure security and optimal application performance Own new features through the project lifecycle, working collaboratively with a team of software developers to ensure timely delivery of high-quality software solutions Stay up to date on emerging network technologies and best practices, becoming the beacon for best practices and efficient processes through the organization Qualifications Self-motivated and demonstrates a strong attention to detail. Experience working with various databases such as Postgres, MySQL, MongoDB, and Oracle Experience with network automation tools and scripting languages (Python, Ansible, Terraform) Experience in both building and integrating with RESTful APIs Experience with async processing and message bus communications (RabbitMQ, Kafka) Experience creating and executing automated software testing Strong abilities on the Linux command line, working with various flavors of Linux and Docker/Kubernetes Strong understanding of applied statistics and the ability to code systems that identify outlier behavior in large systems. Previous experience delivering, maintaining and promoting a production software product Excellent communication, collaboration skills, and experience using a variety of remote collaboration tools including Jira, Confluence, Google Suite, Zoom, etc Experience using Git for code management, review and deployment A passion for tackling complex problems and combining technical and process solutions Bonus Points if you have: Network Automation Experience Experience working with various network device vendors (via API or Netconf) including Juniper, Nokia, Infinera, Ciena, Fujitsu and Cisco Command-Line experience with networking equipment (Juniper, Nokia, etc.) Experience with various network orchestration platforms, such as Ciena Blue Planet MDSO, Cisco NSO, or others Experience with monitoring platforms such as SevOne, Assure1, and Nagios Certifications such as CCNA, JNCIP, or other networking certifications Experience with Perl Education & Experience Bachelor's degree in Computer Science, Networking, or a related field (or equivalent experience) Minimum of seven (7) years of experience in software development with a variety of languages such as Python, Javascript, SQL, HTML, and GraphQL Estimated base salary range: $112,800 - $135,000 USD/annually. Work Authorization Requirement: Applicants must be currently authorized to work in the United States on a full-time basis. This position is not eligible for employer-sponsored work authorization, such as OPT, TN, H1B or any other type of work visa, now or in the future. The base pay range shown is a guideline and reasonable estimate for this role. It takes into account the wide variety of factors that are considered in making compensation decisions. Actual compensation offered may vary from the posted range based upon geographic location, work experience, skill level, certifications, and other business and organizational needs. Non- sales roles may be eligible to participate in a discretionary annual incentive plan. Sales roles may be eligible to participate in a sales incentive plan. Additionally, this position may be eligible for certain benefits, such as health insurance, life insurance, disability retirement plans, paid time off. The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled. Benefits, Rewards & Wellness Excellent Health, Dental & Vision Insurance Retirement 401(k) Savings Plan Generous paid time off policy including paid parental leave Zayo is an equal opportunity employer to all protected groups, including protected veterans and individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact us. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. As part of the application, hiring, onboarding, and/or employment process, Zayo or its affiliates, partners, and vendors may collect, store, and use biometric identifiers and biometric information (collectively, "Biometric Data"), such as fingerprints, facial geometry scans or other unique biological characteristics. Zayo uses CLEAR1, a third-party identity verification service, to verify applicant identity during the hiring process. CLEAR1 may collect Biometric Data, including facial geometry scans and/or other biometric identifiers, to authenticate your identity. Biometric Data will be retained pursuant to CLEAR1's policies, which can be found here: Zayo will not sell, lease, trade, or otherwise profit from any applicant's or employee's Biometric Data. By proceeding with your application, you acknowledge this disclosure. Prior to any collection of Biometric Data - including through CLEAR - you may be presented with a separate consent form and asked to provide your written authorization in accordance with applicable federal, state, and local laws, including the Illinois Biometric Information Privacy Act (BIPA), the Texas Capture or Use of Biometric Identifier Act (CUBI), and other applicable biometric privacy statutes.
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Labeling Data Program Org owns the execution and creation of curated labeled datasets which are critical for training and evaluation of ML models that power the Waymo Driver. As a Technical Specialist in this team, you will be the operational backbone of our machine learning initiatives. You will own and drive the complex, cross-functional programs that deliver high-quality data-the lifeblood of our models. You will orchestrate the end-to-end data lifecycle, from defining requirements for new datasets and tooling to scaling data pipelines and ensuring our ML teams have the resources they need to innovate. This is a high-impact role for a technical, detail-oriented leader who thrives on turning ambiguous data needs into tangible, scalable solutions. You will: Drive the ML Flywheel: Lead the end-to-end lifecycle of ML data, from initial mining and curation to labeling policy definition, validation, and model evaluation. Work cross-functionally to ensure coordination and alignment on objectives and key results. Translate Policy to Code: Lead the development of sophisticated labeling policies for complex AV domains (e.g., behavior prediction, long-tail edge cases). Convert ambiguous ML quality problems into precise, scalable annotation policies and data taxonomies. Build Evals & Metrics: Design and implement ML evaluation frameworks. Identify key data-centric drivers of model performance and create the metrics that track ML quality at the data level. Cross-Functional Leadership : Communicate effectively with technical and non-technical audiences at various levels of seniority, including producing analytical write-ups, dashboards, and data visualizations to convey your findings and recommendations to our team and cross-functional stakeholders Influence ML data selection strategies (active learning, hard-mining) to ensure we are labeling the most impactful data to maximize ROI from the labeling effort You have: 8+ years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. Deep understanding of the ML data lifecycle: labeling, taxonomy design, quality control, and data curation. Experience with ML Data Flywheel and working understanding of ML development life cycle (e.g., model deployment,model evaluation, data processing, debugging, fine tuning). Background in leading and managing complex programs that span across organizations and functions, with specific experience in Machine Learning data annotation or Human-in-the-Loop initiatives. Strong ability to thrive in a dynamic environment, demonstrating comfort and effectiveness when dealing with ambiguity. Ability to quickly learn and implement new concepts and utilize proprietary tools. Strong understanding of driving rules and regulations. We prefer: Experience with scripting language, machine learning tools, techniques and systems (including prompt engineering and fine-tuning LLMs ) is a strong plus. Demonstrated ability to extract, manipulate, and apply machine learning techniques to high volumes of critical, product-related data. Demonstrated ability in working with a variety of engineering stakeholders to gather requirements, explain models, and iterate to make improvements. Excellent written and verbal communication and ability to describe technical implementations or analyses to a non-tech audience in an effective manner. Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment. A greater focus on using your subject matter expertise for results analysis and direct customer consultation in the development of new and improved. solutions. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $159,000-$202,000 USD
09/23/2026
Full time
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Labeling Data Program Org owns the execution and creation of curated labeled datasets which are critical for training and evaluation of ML models that power the Waymo Driver. As a Technical Specialist in this team, you will be the operational backbone of our machine learning initiatives. You will own and drive the complex, cross-functional programs that deliver high-quality data-the lifeblood of our models. You will orchestrate the end-to-end data lifecycle, from defining requirements for new datasets and tooling to scaling data pipelines and ensuring our ML teams have the resources they need to innovate. This is a high-impact role for a technical, detail-oriented leader who thrives on turning ambiguous data needs into tangible, scalable solutions. You will: Drive the ML Flywheel: Lead the end-to-end lifecycle of ML data, from initial mining and curation to labeling policy definition, validation, and model evaluation. Work cross-functionally to ensure coordination and alignment on objectives and key results. Translate Policy to Code: Lead the development of sophisticated labeling policies for complex AV domains (e.g., behavior prediction, long-tail edge cases). Convert ambiguous ML quality problems into precise, scalable annotation policies and data taxonomies. Build Evals & Metrics: Design and implement ML evaluation frameworks. Identify key data-centric drivers of model performance and create the metrics that track ML quality at the data level. Cross-Functional Leadership : Communicate effectively with technical and non-technical audiences at various levels of seniority, including producing analytical write-ups, dashboards, and data visualizations to convey your findings and recommendations to our team and cross-functional stakeholders Influence ML data selection strategies (active learning, hard-mining) to ensure we are labeling the most impactful data to maximize ROI from the labeling effort You have: 8+ years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. Deep understanding of the ML data lifecycle: labeling, taxonomy design, quality control, and data curation. Experience with ML Data Flywheel and working understanding of ML development life cycle (e.g., model deployment,model evaluation, data processing, debugging, fine tuning). Background in leading and managing complex programs that span across organizations and functions, with specific experience in Machine Learning data annotation or Human-in-the-Loop initiatives. Strong ability to thrive in a dynamic environment, demonstrating comfort and effectiveness when dealing with ambiguity. Ability to quickly learn and implement new concepts and utilize proprietary tools. Strong understanding of driving rules and regulations. We prefer: Experience with scripting language, machine learning tools, techniques and systems (including prompt engineering and fine-tuning LLMs ) is a strong plus. Demonstrated ability to extract, manipulate, and apply machine learning techniques to high volumes of critical, product-related data. Demonstrated ability in working with a variety of engineering stakeholders to gather requirements, explain models, and iterate to make improvements. Excellent written and verbal communication and ability to describe technical implementations or analyses to a non-tech audience in an effective manner. Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment. A greater focus on using your subject matter expertise for results analysis and direct customer consultation in the development of new and improved. solutions. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $159,000-$202,000 USD
At Dragos, the mission is personal. The systems we protect deliver the water you drink, power your home, and keep the hospitals your community depends on running. Those critical infrastructure systems that power our civilization around the world are under attack every day by adversaries. When those systems fail, people are immediately at risk. We are the global leader in xOT cybersecurity, combining technology, threat intelligence, and expert services. The people here chose this work because they understand what is at stake. Here, you will find a remote-first mission-driven team across North America, Europe, the Middle East, and APAC built on authenticity, transparency, and trust. If safeguarding the systems that protect your family, friends, and community is the kind of work that matters to you, you are in the right place. About the Role : Dragos is seeking a highly skilled Senior Software Engineer to join our Vulnerability Analysis content team. The ideal candidate will play a pivotal role in accelerating the delivery of vulnerability findings to our customers through robust automation and tooling. Collaborating closely with our team of vulnerability analysts, this person will be responsible for designing, building, and maintaining the CI/CD pipeline that powers our analysis review and deployment workflows. This critical function supports the rapid and accurate dissemination of vulnerability intelligence to protect operational technology (OT) environments. Responsibilities : Design, build, and maintain CI/CD pipelines for content review, validation, and deployment, including vulnerability analysis, asset catalogs, and report generation. Develop and improve analyst workflows and tooling to streamline the vulnerability analysis and publication process. Partner with vulnerability analysts to understand pain points and automate repetitive tasks in the content creation lifecycle. Implement automated testing frameworks, including unit, integration, and end-to-end tests for vulnerability content validation. Implement and maintain data validation, schema enforcement, and content quality assurance automation to ensure accuracy and consistency of vulnerability findings. Collaborate with other engineering teams to integrate vulnerability content delivery into broader Dragos systems. Mentor junior engineers and guide best practices. Continuously improve deployment velocity and content quality. Qualifications : 5+ years in a production software development environment, with 2+ years of experience with Python development. 1+ years of experience designing and maintaining CI/CD pipelines using tools such as Jenkins, GitLab CI, GitHub Actions, or similar. Experience with containerization technologies (Docker, Kubernetes) and infrastructure-as-code (Terraform, Ansible, or similar). Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native services. Demonstrated ability to design and build developer tooling and workflow automation that improves team productivity. Proficiency with git workflows, branching strategies, and code review processes at scale. Solid understanding of Linux systems administration and command-line tooling. Strong communication skills with the ability to translate technical concepts for non-technical stakeholders. Experience working in a security-focused environment or with security content delivery pipelines is a plus. ICS/OT knowledge and experience is nice to have. Rust knowledge and experience is nice to have. Experience with observability tools (Prometheus, Grafana, ELK stack, or similar) is helpful. Background in vulnerability management, threat intelligence, or security operations is a bonus. Compensation : Salary: $165,000 Competitive Equity Package Comprehensive Benefits Plan Dragos is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, state, or local laws. All new hires must pass a background check as a condition of employment.
09/23/2026
Full time
At Dragos, the mission is personal. The systems we protect deliver the water you drink, power your home, and keep the hospitals your community depends on running. Those critical infrastructure systems that power our civilization around the world are under attack every day by adversaries. When those systems fail, people are immediately at risk. We are the global leader in xOT cybersecurity, combining technology, threat intelligence, and expert services. The people here chose this work because they understand what is at stake. Here, you will find a remote-first mission-driven team across North America, Europe, the Middle East, and APAC built on authenticity, transparency, and trust. If safeguarding the systems that protect your family, friends, and community is the kind of work that matters to you, you are in the right place. About the Role : Dragos is seeking a highly skilled Senior Software Engineer to join our Vulnerability Analysis content team. The ideal candidate will play a pivotal role in accelerating the delivery of vulnerability findings to our customers through robust automation and tooling. Collaborating closely with our team of vulnerability analysts, this person will be responsible for designing, building, and maintaining the CI/CD pipeline that powers our analysis review and deployment workflows. This critical function supports the rapid and accurate dissemination of vulnerability intelligence to protect operational technology (OT) environments. Responsibilities : Design, build, and maintain CI/CD pipelines for content review, validation, and deployment, including vulnerability analysis, asset catalogs, and report generation. Develop and improve analyst workflows and tooling to streamline the vulnerability analysis and publication process. Partner with vulnerability analysts to understand pain points and automate repetitive tasks in the content creation lifecycle. Implement automated testing frameworks, including unit, integration, and end-to-end tests for vulnerability content validation. Implement and maintain data validation, schema enforcement, and content quality assurance automation to ensure accuracy and consistency of vulnerability findings. Collaborate with other engineering teams to integrate vulnerability content delivery into broader Dragos systems. Mentor junior engineers and guide best practices. Continuously improve deployment velocity and content quality. Qualifications : 5+ years in a production software development environment, with 2+ years of experience with Python development. 1+ years of experience designing and maintaining CI/CD pipelines using tools such as Jenkins, GitLab CI, GitHub Actions, or similar. Experience with containerization technologies (Docker, Kubernetes) and infrastructure-as-code (Terraform, Ansible, or similar). Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native services. Demonstrated ability to design and build developer tooling and workflow automation that improves team productivity. Proficiency with git workflows, branching strategies, and code review processes at scale. Solid understanding of Linux systems administration and command-line tooling. Strong communication skills with the ability to translate technical concepts for non-technical stakeholders. Experience working in a security-focused environment or with security content delivery pipelines is a plus. ICS/OT knowledge and experience is nice to have. Rust knowledge and experience is nice to have. Experience with observability tools (Prometheus, Grafana, ELK stack, or similar) is helpful. Background in vulnerability management, threat intelligence, or security operations is a bonus. Compensation : Salary: $165,000 Competitive Equity Package Comprehensive Benefits Plan Dragos is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, state, or local laws. All new hires must pass a background check as a condition of employment.
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together-while learning, having fun, and making a profound difference for the dreamers and builders in the world. At DigitalOcean, Data Center Engineers play a critical role in building and operating the physical infrastructure that powers our cloud platform . Our team is responsible for deploying, maintaining, and scaling the servers and networking equipment that enable millions of developers to run their applications. From replacing a faulty drive to helping deploy infrastructure in a brand-new data center, our engineers work across the full lifecycle of hardware operations. You'll join a collaborative, fast-growing team with opportunities to work on large-scale deployments, new data center expansions, and next-generation infrastructure. This is a remote position. What You'll Be Doing Deploying, maintaining, and scaling DigitalOcean's data center infrastructure Racking, stacking, and cabling servers, power distribution units (PDUs), and network switches Installing and commissioning servers, networking equipment, storage systems, and GPU infrastructure Designing and executing large-scale infrastructure deployments including rack buildouts and cluster expansions Supporting new data center builds and expansions through rack layout planning and infrastructure readiness validation Deploying and troubleshooting high-density compute platforms including GPU and liquid-cooled infrastructure Diagnosing and repairing hardware issues across servers, networking equipment, and storage systems Debugging hardware, network, and Linux OS related issues Submitting RMAs and managing hardware lifecycle replacements with equipment vendors Managing shipping, receiving, and inventory tracking of data center hardware and components Maintaining deployment documentation, runbooks, and operational procedures Partnering with internal engineering teams to support hardware rollouts and infrastructure upgrades Supporting operational readiness for new data center deployments Participating in an on-call rotation to support infrastructure availability Mentoring junior engineers and contributing to team development What You'll Add to DigitalOcean 6-8+ years of experience deploying, operating, or supporting infrastructure within large-scale data center or cloud environments. Strong understanding of data center infrastructure including compute, networking, and storage systems Proficient understanding of data center power and cooling architecture Experience deploying and troubleshooting GPU hardware and high-density compute infrastructure Experience working with or supporting liquid-cooled infrastructure Strong Linux knowledge and command line experience; familiarity with bash scripting Strong troubleshooting skills across hardware, networking, and operating systems Understanding of data center cabling standards and deployment best practices Experience supporting large-scale infrastructure deployments or data center expansions Ability to analyze infrastructure incidents and drive operational improvements Strong problem-solving skills and the ability to perform deep technical investigations Experience maintaining deployment documentation and operational procedures Ability to collaborate with cross-functional engineering teams Willingness to participate in an on-call rotation Valid driver's license and ability to travel domestically and internationally (20-25%) Ability to lift objects up to 50 lbs and be on your feet for extended periods Ability to mentor and train junior engineers Compensation Range: $128,000 - $161,000 This is a hybrid role JR: Why You'll Like Working for DigitalOcean We innovate with purpose. You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. We prioritize career development. At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development. We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences. We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
09/23/2026
Full time
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you'll find your place here. We value winning together-while learning, having fun, and making a profound difference for the dreamers and builders in the world. At DigitalOcean, Data Center Engineers play a critical role in building and operating the physical infrastructure that powers our cloud platform . Our team is responsible for deploying, maintaining, and scaling the servers and networking equipment that enable millions of developers to run their applications. From replacing a faulty drive to helping deploy infrastructure in a brand-new data center, our engineers work across the full lifecycle of hardware operations. You'll join a collaborative, fast-growing team with opportunities to work on large-scale deployments, new data center expansions, and next-generation infrastructure. This is a remote position. What You'll Be Doing Deploying, maintaining, and scaling DigitalOcean's data center infrastructure Racking, stacking, and cabling servers, power distribution units (PDUs), and network switches Installing and commissioning servers, networking equipment, storage systems, and GPU infrastructure Designing and executing large-scale infrastructure deployments including rack buildouts and cluster expansions Supporting new data center builds and expansions through rack layout planning and infrastructure readiness validation Deploying and troubleshooting high-density compute platforms including GPU and liquid-cooled infrastructure Diagnosing and repairing hardware issues across servers, networking equipment, and storage systems Debugging hardware, network, and Linux OS related issues Submitting RMAs and managing hardware lifecycle replacements with equipment vendors Managing shipping, receiving, and inventory tracking of data center hardware and components Maintaining deployment documentation, runbooks, and operational procedures Partnering with internal engineering teams to support hardware rollouts and infrastructure upgrades Supporting operational readiness for new data center deployments Participating in an on-call rotation to support infrastructure availability Mentoring junior engineers and contributing to team development What You'll Add to DigitalOcean 6-8+ years of experience deploying, operating, or supporting infrastructure within large-scale data center or cloud environments. Strong understanding of data center infrastructure including compute, networking, and storage systems Proficient understanding of data center power and cooling architecture Experience deploying and troubleshooting GPU hardware and high-density compute infrastructure Experience working with or supporting liquid-cooled infrastructure Strong Linux knowledge and command line experience; familiarity with bash scripting Strong troubleshooting skills across hardware, networking, and operating systems Understanding of data center cabling standards and deployment best practices Experience supporting large-scale infrastructure deployments or data center expansions Ability to analyze infrastructure incidents and drive operational improvements Strong problem-solving skills and the ability to perform deep technical investigations Experience maintaining deployment documentation and operational procedures Ability to collaborate with cross-functional engineering teams Willingness to participate in an on-call rotation Valid driver's license and ability to travel domestically and internationally (20-25%) Ability to lift objects up to 50 lbs and be on your feet for extended periods Ability to mentor and train junior engineers Compensation Range: $128,000 - $161,000 This is a hybrid role JR: Why You'll Like Working for DigitalOcean We innovate with purpose. You'll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. We prioritize career development. At DO, you'll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development. We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences. We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Application Limit: You may apply to a maximum of 3 positions within any 180-day period. This policy promotes better role-candidate matching and encourages thoughtful applications where your qualifications align most strongly.
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. You will: Collaborative - work across team boundaries Cross-functional - work with PM, UX, legal, operations, or other non-engineering roles Independence / leadership - take ownership and drive efforts to completion Technical road map definition experience Performance management experience You have: BS degree in Computer Science or equivalent practical experience 6+ years experience working with backend tech (e.g. C++, Spanner, or others) 6+ years of experience with Front End (Angular, Javascript, React, etc) 5+ years of people management experience TL or leadership skills Experience in product development lifecycle We prefer: Familiarity with Google infrastructure (e.g. Flume, Borg, Protocol Buffers, OnePlatform) or GCP equivalent Development experience with C++ or other backend programming languages Development experience with frontend frameworks (e.g. Angular, React) Scalability and system performance experience The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000-$319,000 USD
09/23/2026
Full time
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver -to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. You will: Collaborative - work across team boundaries Cross-functional - work with PM, UX, legal, operations, or other non-engineering roles Independence / leadership - take ownership and drive efforts to completion Technical road map definition experience Performance management experience You have: BS degree in Computer Science or equivalent practical experience 6+ years experience working with backend tech (e.g. C++, Spanner, or others) 6+ years of experience with Front End (Angular, Javascript, React, etc) 5+ years of people management experience TL or leadership skills Experience in product development lifecycle We prefer: Familiarity with Google infrastructure (e.g. Flume, Borg, Protocol Buffers, OnePlatform) or GCP equivalent Development experience with C++ or other backend programming languages Development experience with frontend frameworks (e.g. Angular, React) Scalability and system performance experience The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000-$319,000 USD
Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. We're looking for a Staff Software Engineer, Assets to help us solve challenging problems to address emerging customer needs and behaviors. The ideal candidate can move fast but with high quality, and views the early stages of product development as a creative canvas and opportunity for high impact. About the role: Location: Remote-first (United States; BC & ON, Canada) Full-time Permanent Exempt The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate's geographic location, job-related experience, knowledge, qualifications, and skills. United States (all figures cited below are in USD and pertain to workers in the United States) Zone A: 212,500 - 255,000 Zone B: 200,000 - 240,000 Zone C: 186,700 - 224,000 Canada (figures cited below are in CAD and pertain to workers in ON & BC, Canada) 232,000 - 278,000 This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals. Please visit our Careers page for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. Application Information: Application deadline: applications accepted on an ongoing basis until position is closed and filled This posting is for a new position Reporting to the Director, Engineering As a backend Staff Engineer, you'll: Architect, design, and evolve backend systems, platform services, and APIs using Python and related technologies. Partner closely with data scientists and machine learning engineers to productionize AI/ML capabilities and integrate models into reliable backend infrastructure. Design and scale distributed systems that process large volumes of data with strong performance, availability, and operational excellence. Build secure, resilient data storage and retrieval systems, with a focus on data integrity, privacy, and governance. Work across the full product lifecycle, from early concept exploration and technical design through implementation, launch, and ongoing production ownership. Lead complex, cross-team technical initiatives that influence roadmap execution and raise the engineering bar across the organization. Produce maintainable, well-tested, observable code and improve the systems, tooling, and standards that support long-term engineering quality. Mentor engineers across the team, sharing expertise in backend architecture, distributed systems, and engineering best practices. Stay current with industry trends and emerging technologies, and proactively identify opportunities to improve our backend platform, infrastructure, and development workflows. About you: Requirements: BA/BS degree or equivalent experience You'll thrive in this role if you: Bring 7+ years of software engineering experience, including deep expertise in backend engineering and distributed systems at scale. Have a strong technical foundation in software design and development, with experience across multiple programming languages such as Python, Java, or Go, and a strong grasp of modern frameworks, system design, and architectural patterns. Have designed, built, and operated reliable distributed systems and data-intensive services in production, with a strong understanding of scalability, fault tolerance, observability, and performance optimization. Are highly proficient in backend API design, service-oriented architecture, asynchronous processing, and data modeling. Have experience building secure systems and implementing robust approaches to data integrity, privacy, and access control. Are comfortable working hands-on in the code and use your technical depth to lead through implementation, not just direction-setting. Have demonstrated technical leadership across ambiguous, cross-functional initiatives, influencing architecture, execution, and engineering strategy beyond your immediate team. Partner effectively with product, design, data, and ML stakeholders to translate evolving business needs into scalable technical solutions. Excel at code review, technical mentorship, and raising the quality bar for system design, engineering practices, and operational excellence. Bring strong judgment, communicate clearly, and make pragmatic tradeoffs in fast-moving environments. Have experience supporting and growing other engineers through mentorship, and ideally have helped shape hiring and team-building efforts. Hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or bring equivalent practical experien Stay curious and open to growth - demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact. Our Core Behaviors: Build lasting customer trust. We build trust by taking action that puts customer trust first. Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act. Reinvent ourselves. We don't just improve what exists, we imagine what's possible. Deliver with speed, quality, and craft. We move fast because the moment demands it, and we do so without lowering the bar. Benefits Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company. Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums. Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions. Time off that's actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired. Wellness for the whole you. Access to mental health resources, therapy and coaching. Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. Monthly stipends that flex with your life. Localized support for work and wellness expenses - from Wi-Fi to workouts. Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program. Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment. Remote, together At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records. Stay connected Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog, LinkedIn, X (Twitter), and/or Glassdoor. Please note: We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for confidential accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. For information about how Webflow processes your personal information, please review Webflow's Applicant Privacy Notice .
09/23/2026
Full time
Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. We're looking for a Staff Software Engineer, Assets to help us solve challenging problems to address emerging customer needs and behaviors. The ideal candidate can move fast but with high quality, and views the early stages of product development as a creative canvas and opportunity for high impact. About the role: Location: Remote-first (United States; BC & ON, Canada) Full-time Permanent Exempt The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate's geographic location, job-related experience, knowledge, qualifications, and skills. United States (all figures cited below are in USD and pertain to workers in the United States) Zone A: 212,500 - 255,000 Zone B: 200,000 - 240,000 Zone C: 186,700 - 224,000 Canada (figures cited below are in CAD and pertain to workers in ON & BC, Canada) 232,000 - 278,000 This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals. Please visit our Careers page for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. Application Information: Application deadline: applications accepted on an ongoing basis until position is closed and filled This posting is for a new position Reporting to the Director, Engineering As a backend Staff Engineer, you'll: Architect, design, and evolve backend systems, platform services, and APIs using Python and related technologies. Partner closely with data scientists and machine learning engineers to productionize AI/ML capabilities and integrate models into reliable backend infrastructure. Design and scale distributed systems that process large volumes of data with strong performance, availability, and operational excellence. Build secure, resilient data storage and retrieval systems, with a focus on data integrity, privacy, and governance. Work across the full product lifecycle, from early concept exploration and technical design through implementation, launch, and ongoing production ownership. Lead complex, cross-team technical initiatives that influence roadmap execution and raise the engineering bar across the organization. Produce maintainable, well-tested, observable code and improve the systems, tooling, and standards that support long-term engineering quality. Mentor engineers across the team, sharing expertise in backend architecture, distributed systems, and engineering best practices. Stay current with industry trends and emerging technologies, and proactively identify opportunities to improve our backend platform, infrastructure, and development workflows. About you: Requirements: BA/BS degree or equivalent experience You'll thrive in this role if you: Bring 7+ years of software engineering experience, including deep expertise in backend engineering and distributed systems at scale. Have a strong technical foundation in software design and development, with experience across multiple programming languages such as Python, Java, or Go, and a strong grasp of modern frameworks, system design, and architectural patterns. Have designed, built, and operated reliable distributed systems and data-intensive services in production, with a strong understanding of scalability, fault tolerance, observability, and performance optimization. Are highly proficient in backend API design, service-oriented architecture, asynchronous processing, and data modeling. Have experience building secure systems and implementing robust approaches to data integrity, privacy, and access control. Are comfortable working hands-on in the code and use your technical depth to lead through implementation, not just direction-setting. Have demonstrated technical leadership across ambiguous, cross-functional initiatives, influencing architecture, execution, and engineering strategy beyond your immediate team. Partner effectively with product, design, data, and ML stakeholders to translate evolving business needs into scalable technical solutions. Excel at code review, technical mentorship, and raising the quality bar for system design, engineering practices, and operational excellence. Bring strong judgment, communicate clearly, and make pragmatic tradeoffs in fast-moving environments. Have experience supporting and growing other engineers through mentorship, and ideally have helped shape hiring and team-building efforts. Hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or bring equivalent practical experien Stay curious and open to growth - demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact. Our Core Behaviors: Build lasting customer trust. We build trust by taking action that puts customer trust first. Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act. Reinvent ourselves. We don't just improve what exists, we imagine what's possible. Deliver with speed, quality, and craft. We move fast because the moment demands it, and we do so without lowering the bar. Benefits Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company. Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums. Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions. Time off that's actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired. Wellness for the whole you. Access to mental health resources, therapy and coaching. Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. Monthly stipends that flex with your life. Localized support for work and wellness expenses - from Wi-Fi to workouts. Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program. Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment. Remote, together At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records. Stay connected Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog, LinkedIn, X (Twitter), and/or Glassdoor. Please note: We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for confidential accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. For information about how Webflow processes your personal information, please review Webflow's Applicant Privacy Notice .
About the Role Abnormal AI is hiring a Senior Cloud Security Engineer to build and operate the security systems that protect our FedRAMP authorized environment. You will own secure delivery pipelines, infrastructure as code security, patch automation, identity controls, security telemetry, and incident response across a growing federal platform. You will design and build the capabilities that allow this environment to scale safely. Your work will include creating policy gates for cloud deployments, automating patch and access workflows, strengthening identity controls, improving security telemetry, and generating audit evidence directly from engineering systems. You will have meaningful ownership of both architecture and operational results, with the opportunity to replace repetitive work with reliable automation across the environment. You will work closely with DevInfra, FedOps, Product Security, Detection and Response, and Compliance to solve cloud security problems that cross traditional team boundaries. You will also use approved AI coding tools, such as Claude Code, to accelerate scripting, testing, documentation, and security automation. What you will do Build and improve secure delivery workflows for applications and infrastructure deployed into the federal environment. Create policy gates that evaluate infrastructure changes, security requirements, test results, and required approvals before deployment. Integrate security scanning and control validation into delivery workflows so issues are identified early in the development process. Review infrastructure as code changes that affect the federal boundary and help engineering teams resolve security risks before those changes reach production. Design automation that produces change records, approval history, test results, and required evidence directly from engineering workflows. Build and maintain hardened system image pipelines that consistently apply approved configurations, security controls, and operating system updates. Automate patch deployment across the environment, including testing, scheduling, rollout, validation, exception management, and compliance reporting. Improve fleet visibility so teams can quickly identify systems that are missing patches, running unsupported software, or operating outside approved configurations. Design and enforce identity and access controls across a complex cloud environment. Strengthen cloud security through organization policies, identity controls, resource policies, and automated configuration checks. Build preventive guardrails that block insecure or unauthorized configurations before they enter the federal environment. Own the reliability of security logging and monitoring pipelines, including ingestion coverage, data quality, source health, retention, and alerting. Develop automated checks that identify missing telemetry, delayed events, broken integrations, and other conditions that could reduce security visibility. Tune security detections to improve signal quality, reduce unnecessary alerts, and focus responders on activity that requires investigation. Build response automation that gathers context, enriches alerts, preserves evidence, and accelerates investigation and containment. Lead security incident response for the federal environment, including investigation, containment, recovery, evidence preservation, and after action reporting. Partner with infrastructure, operations, product security, incident response, and compliance teams to solve security problems that cross team boundaries. Must Haves 8+ years in cloud security engineering, DevSecOps, infrastructure security, or a closely related engineering discipline, including deep hands-on experience with AWS. Strong experience building or securing cloud deployment pipelines and infrastructure as code workflows. Proficiency in at least one scripting or programming language, preferably Python, with a record of automating recurring operational work. Working knowledge of identity and access management design and enforcement in large cloud environments. Production experience with security monitoring and incident response, including investigation, containment, recovery, and operational follow through. Nice to Have Experience integrating security automation into CI/CD pipelines and SecOps workflows. Prior experience supporting federal audits or 3PAO engagements. Knowledge of SaaS security operations and monitoring at scale. Experience driving automation in security operations, compliance tracking, and evidence management. Knowledge of SaaS security operations and modern cloud environments; exposure to DevSecOps pipelines or security reviews for Terraform/containers. Experience with FedRAMP, DoD IL4, DoD IL5, government, or another highly regulated cloud environment, including support for 3PAO assessments or federal audits. Familiarity with NIST SP 800-53 controls, continuous monitoring, security impact analysis, and technical evidence requirements. Experience building compliance automation, continuous control monitoring, or automated evidence management capabilities. Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location. In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package. Base salary range: $153,000-$220,000 USD A note on AI in our process: Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore.They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards. Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here . If you would like more information on your EEO rights under the law, please click here .
09/23/2026
Full time
About the Role Abnormal AI is hiring a Senior Cloud Security Engineer to build and operate the security systems that protect our FedRAMP authorized environment. You will own secure delivery pipelines, infrastructure as code security, patch automation, identity controls, security telemetry, and incident response across a growing federal platform. You will design and build the capabilities that allow this environment to scale safely. Your work will include creating policy gates for cloud deployments, automating patch and access workflows, strengthening identity controls, improving security telemetry, and generating audit evidence directly from engineering systems. You will have meaningful ownership of both architecture and operational results, with the opportunity to replace repetitive work with reliable automation across the environment. You will work closely with DevInfra, FedOps, Product Security, Detection and Response, and Compliance to solve cloud security problems that cross traditional team boundaries. You will also use approved AI coding tools, such as Claude Code, to accelerate scripting, testing, documentation, and security automation. What you will do Build and improve secure delivery workflows for applications and infrastructure deployed into the federal environment. Create policy gates that evaluate infrastructure changes, security requirements, test results, and required approvals before deployment. Integrate security scanning and control validation into delivery workflows so issues are identified early in the development process. Review infrastructure as code changes that affect the federal boundary and help engineering teams resolve security risks before those changes reach production. Design automation that produces change records, approval history, test results, and required evidence directly from engineering workflows. Build and maintain hardened system image pipelines that consistently apply approved configurations, security controls, and operating system updates. Automate patch deployment across the environment, including testing, scheduling, rollout, validation, exception management, and compliance reporting. Improve fleet visibility so teams can quickly identify systems that are missing patches, running unsupported software, or operating outside approved configurations. Design and enforce identity and access controls across a complex cloud environment. Strengthen cloud security through organization policies, identity controls, resource policies, and automated configuration checks. Build preventive guardrails that block insecure or unauthorized configurations before they enter the federal environment. Own the reliability of security logging and monitoring pipelines, including ingestion coverage, data quality, source health, retention, and alerting. Develop automated checks that identify missing telemetry, delayed events, broken integrations, and other conditions that could reduce security visibility. Tune security detections to improve signal quality, reduce unnecessary alerts, and focus responders on activity that requires investigation. Build response automation that gathers context, enriches alerts, preserves evidence, and accelerates investigation and containment. Lead security incident response for the federal environment, including investigation, containment, recovery, evidence preservation, and after action reporting. Partner with infrastructure, operations, product security, incident response, and compliance teams to solve security problems that cross team boundaries. Must Haves 8+ years in cloud security engineering, DevSecOps, infrastructure security, or a closely related engineering discipline, including deep hands-on experience with AWS. Strong experience building or securing cloud deployment pipelines and infrastructure as code workflows. Proficiency in at least one scripting or programming language, preferably Python, with a record of automating recurring operational work. Working knowledge of identity and access management design and enforcement in large cloud environments. Production experience with security monitoring and incident response, including investigation, containment, recovery, and operational follow through. Nice to Have Experience integrating security automation into CI/CD pipelines and SecOps workflows. Prior experience supporting federal audits or 3PAO engagements. Knowledge of SaaS security operations and monitoring at scale. Experience driving automation in security operations, compliance tracking, and evidence management. Knowledge of SaaS security operations and modern cloud environments; exposure to DevSecOps pipelines or security reviews for Terraform/containers. Experience with FedRAMP, DoD IL4, DoD IL5, government, or another highly regulated cloud environment, including support for 3PAO assessments or federal audits. Familiarity with NIST SP 800-53 controls, continuous monitoring, security impact analysis, and technical evidence requirements. Experience building compliance automation, continuous control monitoring, or automated evidence management capabilities. Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location. In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package. Base salary range: $153,000-$220,000 USD A note on AI in our process: Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore.They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards. Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here . If you would like more information on your EEO rights under the law, please click here .
Powering Performance Marketplaces in Digital Media QuinStreet is a pioneer in powering decentralized online marketplaces that match searchers and "research and compare" consumers with brands . We run these virtual- and private-label marketplaces in one of the nation's largest media networks. Our industry leading segmentation and AI-driven matching technologies help consumers find better solutions and brands faster. They allow brands to target and reach in-market customer prospects with pinpoint segment-by-segment accuracy, and to pay only for performance results. Our campaign-results-driven matching decision engines and optimization algorithms are built from over 20 years and billions of dollars of online media experience. We believe in: The direct measurability of digital media. Performance marketing. (We pioneered it.) The advantages of technology. We bring all this together to deliver truly great results for consumers and brands in the world's biggest channel. Job Category In this role you will become an expert on optimal performance and strategy of digital marketing campaigns. You will work with fellow analysts to analyze, conjecture, and manage investigations, product fixes, and optimizations to increase our yield and support our relationships with Media Partners. You will be required to develop a deep understanding of the related data sources and leverage them to inform business decisions. You will be required to develop a deep understanding of our analytical tools and the automation of business processes and decision-making. You will need to leverage diverse problem solving strategies and balance multiple simultaneous efforts in a dynamic and high velocity environment. You will be expected to delve into business problems and analyze opportunities for growth. You will be a locus for understanding advantages, weaknesses, and deploying creative approaches to analytical problems; you will be expected to communicate these insights in an effective and timely manner, responding to the analytical needs of the business, and delivering actionable plans for improving our business. Responsibilities Develop a deep understanding of the related data sources and leverage them to inform business decisions Develop a deep understanding of our analytical tools and the automation of business processes and decision-making Leverage diverse problem solving strategies and balance multiple simultaneous efforts in a dynamic and high velocity environment Dive into business problems and analyze opportunities for growth You will be a locus for understanding advantages, weaknesses, and deploying creative approaches to analytical problems Communicate these insights in an effective and timely manner, responding to the analytical needs of the business, and delivering actionable plans for improving our business. Requirements 3+years of experience in an analytical role is required Inquisitive mindset that is willing to challenge status quo and various stakeholders Ability to digest disparate datasets and visualize key trends or takeaways from raw datasets Excellent communication and presentation skills with the ability to synthesize key takeaways and present data-proven results Strong analytical, organizational and problem-solving skills including abnormality detection, predictive analysis, market segmentation, and competitive analysis. Experience in using SQL with enterprise datasets is required Experience in R or Python is required Experience with Tableau or other related Business Intelligence Tool is required Experience with automation in an enterprise setting is a major place The expected salary range for this position is $80,000 USD to $130,000 USD annually. This salary range is an estimate, and the actual salary may vary based on the Company's compensation practices. The salary may be adjusted based on applicant's geographic location. The position is also eligible to receive performance bonus or commission and equity in the form of restricted stock units. This position is eligible to participate in the Company's standard employee benefits programs, which currently include health care benefits; (2) retirement benefits; (3) the amount of paid days off (paid sick leave, parental leave, paid time off, or vacation benefits); (4) any other tax-reportable benefits. QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, pregnancy status, sex, age, marital status, disability, sexual orientation, gender identity or any other characteristics protected by law. Please see QuinStreet's Employee Privacy Notice here.
09/23/2026
Full time
Powering Performance Marketplaces in Digital Media QuinStreet is a pioneer in powering decentralized online marketplaces that match searchers and "research and compare" consumers with brands . We run these virtual- and private-label marketplaces in one of the nation's largest media networks. Our industry leading segmentation and AI-driven matching technologies help consumers find better solutions and brands faster. They allow brands to target and reach in-market customer prospects with pinpoint segment-by-segment accuracy, and to pay only for performance results. Our campaign-results-driven matching decision engines and optimization algorithms are built from over 20 years and billions of dollars of online media experience. We believe in: The direct measurability of digital media. Performance marketing. (We pioneered it.) The advantages of technology. We bring all this together to deliver truly great results for consumers and brands in the world's biggest channel. Job Category In this role you will become an expert on optimal performance and strategy of digital marketing campaigns. You will work with fellow analysts to analyze, conjecture, and manage investigations, product fixes, and optimizations to increase our yield and support our relationships with Media Partners. You will be required to develop a deep understanding of the related data sources and leverage them to inform business decisions. You will be required to develop a deep understanding of our analytical tools and the automation of business processes and decision-making. You will need to leverage diverse problem solving strategies and balance multiple simultaneous efforts in a dynamic and high velocity environment. You will be expected to delve into business problems and analyze opportunities for growth. You will be a locus for understanding advantages, weaknesses, and deploying creative approaches to analytical problems; you will be expected to communicate these insights in an effective and timely manner, responding to the analytical needs of the business, and delivering actionable plans for improving our business. Responsibilities Develop a deep understanding of the related data sources and leverage them to inform business decisions Develop a deep understanding of our analytical tools and the automation of business processes and decision-making Leverage diverse problem solving strategies and balance multiple simultaneous efforts in a dynamic and high velocity environment Dive into business problems and analyze opportunities for growth You will be a locus for understanding advantages, weaknesses, and deploying creative approaches to analytical problems Communicate these insights in an effective and timely manner, responding to the analytical needs of the business, and delivering actionable plans for improving our business. Requirements 3+years of experience in an analytical role is required Inquisitive mindset that is willing to challenge status quo and various stakeholders Ability to digest disparate datasets and visualize key trends or takeaways from raw datasets Excellent communication and presentation skills with the ability to synthesize key takeaways and present data-proven results Strong analytical, organizational and problem-solving skills including abnormality detection, predictive analysis, market segmentation, and competitive analysis. Experience in using SQL with enterprise datasets is required Experience in R or Python is required Experience with Tableau or other related Business Intelligence Tool is required Experience with automation in an enterprise setting is a major place The expected salary range for this position is $80,000 USD to $130,000 USD annually. This salary range is an estimate, and the actual salary may vary based on the Company's compensation practices. The salary may be adjusted based on applicant's geographic location. The position is also eligible to receive performance bonus or commission and equity in the form of restricted stock units. This position is eligible to participate in the Company's standard employee benefits programs, which currently include health care benefits; (2) retirement benefits; (3) the amount of paid days off (paid sick leave, parental leave, paid time off, or vacation benefits); (4) any other tax-reportable benefits. QuinStreet is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, pregnancy status, sex, age, marital status, disability, sexual orientation, gender identity or any other characteristics protected by law. Please see QuinStreet's Employee Privacy Notice here.
The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. Overview The Platform team owns the backend behind everything Speechify ships: the public TTS API, payments, subscriptions, auth, consumption tracking, and analytics - serving over 50 million users across iOS, Android, Mac, Chrome, and web. These are systems where correctness compounds. Subscription state has to stay consistent across five clients and two app-store billing systems that each go quiet at the worst moment. Consumption metering has to be exact enough to bill on and cheap enough to run at our request volume. The public TTS API has external customers with their own products depending on our latency and uptime. None of this degrades gracefully - it is either right, or someone gets charged twice. The job is to make your own job smaller. Every system you own here should need less of you a year from now than it did the day you took it, and the reward for that is a larger one. That is the entire growth path on this team - there is no separate ladder, and no ceiling except the one you stop raising. We are a flat organization: people become leaders here by taking scope and being right about it, fast. What Yo u' ll Do Design, build, and own the APIs behind payments, subscriptions, auth, consumption tracking, and our public TTS API Take on services you didn't write and make them faster, cheaper, and harder to break Establish that a change is correct before it ships, and leave behind the checks that keep it correct after you've moved on Automate the parts of your role that shouldn't need a person, then go take on what that freed you up for Turn work you've done once into work the whole team can repeat Design B2B and enterprise integrations for customers building on top of us Work with product, mobile, and web to keep backend architecture ahead of where the product is going An Ideal Candidate Should Have Proven backend experience in TS/Node (required) Direct experience with GCP; working knowledge of AWS, Azure, or another cloud A habit of giving away work you used to own, and something to show for the room it created A daily working setup with AI agents you can describe in detail - what runs unattended, what you review, and where you've decided it doesn't get to act alone The instinct to check a result against the system itself - logs, database state, the actual request - rather than against a summary of it Judgment about what not to build, and the ability to say plainly why you dropped it A preference for being corrected over being right Preferred: Docker and containerized deployments Preferred: deploying high-availability applications on Kubernetes Interview process Several technical interviews plus a take-home assessment on a real codebase. We aim to finish within a week. The assessment runs in two stages: you'll submit, get real feedback from an engineer on this team, and have time to act on it. Use the tools you use every day. You'll be asked to walk through your reasoning, so bring it. What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio - a rapidly evolving tech domain The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
09/23/2026
Full time
The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. Overview The Platform team owns the backend behind everything Speechify ships: the public TTS API, payments, subscriptions, auth, consumption tracking, and analytics - serving over 50 million users across iOS, Android, Mac, Chrome, and web. These are systems where correctness compounds. Subscription state has to stay consistent across five clients and two app-store billing systems that each go quiet at the worst moment. Consumption metering has to be exact enough to bill on and cheap enough to run at our request volume. The public TTS API has external customers with their own products depending on our latency and uptime. None of this degrades gracefully - it is either right, or someone gets charged twice. The job is to make your own job smaller. Every system you own here should need less of you a year from now than it did the day you took it, and the reward for that is a larger one. That is the entire growth path on this team - there is no separate ladder, and no ceiling except the one you stop raising. We are a flat organization: people become leaders here by taking scope and being right about it, fast. What Yo u' ll Do Design, build, and own the APIs behind payments, subscriptions, auth, consumption tracking, and our public TTS API Take on services you didn't write and make them faster, cheaper, and harder to break Establish that a change is correct before it ships, and leave behind the checks that keep it correct after you've moved on Automate the parts of your role that shouldn't need a person, then go take on what that freed you up for Turn work you've done once into work the whole team can repeat Design B2B and enterprise integrations for customers building on top of us Work with product, mobile, and web to keep backend architecture ahead of where the product is going An Ideal Candidate Should Have Proven backend experience in TS/Node (required) Direct experience with GCP; working knowledge of AWS, Azure, or another cloud A habit of giving away work you used to own, and something to show for the room it created A daily working setup with AI agents you can describe in detail - what runs unattended, what you review, and where you've decided it doesn't get to act alone The instinct to check a result against the system itself - logs, database state, the actual request - rather than against a summary of it Judgment about what not to build, and the ability to say plainly why you dropped it A preference for being corrected over being right Preferred: Docker and containerized deployments Preferred: deploying high-availability applications on Kubernetes Interview process Several technical interviews plus a take-home assessment on a real codebase. We aim to finish within a week. The assessment runs in two stages: you'll submit, get real feedback from an engineer on this team, and have time to act on it. Use the tools you use every day. You'll be asked to walk through your reasoning, so bring it. What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio - a rapidly evolving tech domain The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Why NeuraFlash, Part of Accenture: At NeuraFlash, Part of Accenture, we are redefining the future of business through the power of AI and groundbreaking technologies like Agentforce. As a trusted leader in AI, AWS, and Salesforce innovation, we craft intelligent solutions-integrating Salesforce Einstein, Service Cloud Voice, Amazon Connect, Agentforce and more-to revolutionize workflows, elevate customer experiences, and deliver tangible results. From conversational AI to predictive analytics, we empower organizations to stay ahead in an ever-evolving digital landscape with cutting-edge, tailored strategies. We are proud to be creating the future of generative AI and AI agents. Salesforce has launched Agentforce, and NeuraFlash, Part of Accenture, was selected as the only partner for the private beta prior to launch. Post-launch, we've earned the distinction of being Salesforce's partner for Agentforce, reinforcing our role as pioneers in this transformative space. Be part of the NeuraFlash, Part of Accenture journey and help shape the next wave of AI-powered transformation. Here, you'll collaborate with trailblazing experts who are passionate about pushing boundaries and leveraging technologies like Agentforce to create impactful customer outcomes. Whether you're developing advanced AI-powered bots, streamlining business operations, or building solutions using the latest generative AI technologies, your work will drive innovation at scale. If you're ready to make your mark in the AI space, NeuraFlash, Part of Accenture is the place for you. AS AN AWS TECHNICAL ARCHITECT, YOU WILL HAVE THE OPPORTUNITY TO: Ensure customer success in building and launching Amazon Connect solutions for NeuraFlash customers Conduct technology assessment and audits to identify the need (from an ROI and Outcomes perspective) to move to CCaaS AWS Connect Platform, improving agent experience and productivity Facilitate business process reviews to identify customer requirements and processes Educate customers on the value proposition of AWS, and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud Lead discovery for customers, help customers build ROIs for projects, and deliver presentations and estimate for delivering that ROI Translate customer requirements into contact center design, leveraging best practices, and other AWS Services Oversee and mentor technical teams, providing guidance and support to ensure that proposed solution (on Salesforce and AWS Cloud) is delivered on time, on budget, and to the required quality standards Act as a liaison between technical teams and business stakeholders, communicating technical concepts in a clear and understandable manner, and managing expectations and priorities Drive best practice contact center design into each and every aspect of solution delivery Effectively manage all aspects of project and customer communications Deliver customer end user training and documentation Exercise independent judgment, and take the lead role on enterprise level projects with minimal direction from senior management Lead vision and strategy discussions with contact center and customer service leadership and management QUALIFICATIONS: Customer-facing contact center experience Experience building integrations across WFM, CRM, and contact center solutions Experience with communications protocols and APIs such as WebRTC and SIP Experience with hands-on Scripting/coding (e.g., python, java, c#, .NET, Node.js) Communication and presentation skills with a high degree of comfort speaking with executives, IT Management, and customers API integration experience Strong troubleshooting and debugging skills Experience with Cloudformation, Contact Flow Design, Lambda Integration, Lex Integration, and Call Center Routing Proficient in understanding and documenting the infrastructure requirements and specifications, including resource types, networking, security, and compliance needs. Knowledge of automation tools and frameworks for building, testing, and deploying software, such as Jenkins, GitLab CI/CD, CodeDeploy Contact Center architecture knowledge Experienced in implementing infrastructure as code using AWS Cloud Development Kit (CDK) and Terraform, ensuring consistent and efficient infrastructure deployment. Capable of setting up monitoring and logging for infrastructure components and performing ongoing maintenance to ensure optimal performance and availability. Experience in technology/software sales, pre-sales, or consulting Advanced knowledge of AWS services and cloud architecture Salesforce knowledge and familiarity with Salesforce Service Cloud Contact center product knowledge of other platforms (Genesys, Cisco, Avaya, Twilio, etc.) Experience with WorkForce Management solutions Experience working with outbound dialers and campaign management Knowledge of software development methodologies such as Agile and Scrum AWS Cloud Practitioner Certification AWS Developer Associate Certification or Professional AWS Solution Architect Certification or Professional Salesforce Certified Administrator Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We anticipate this job posting will be posted on 04/22/2026 and open for at least 3 days. California Annual Salary Range $94,400 - $266,300 USD Cleveland Annual Salary Range $87,400 - $213,000 USD Colorado Annual Salary Range $94,400 - $230,000 USD District of Columbia Annual Salary Range $100,500 - $245,000 USD Illinois Annual Salary Range $87,400 - $230,000 USD Maryland Annual Salary Range $94,400 - $230,000 USD Massachusetts Annual Salary Range $94,400 - $245,000 USD Minnesota Annual Salary Range $94,400 - $230,000 USD New York / New Jersey Annual Salary Range $87,400 - $266,300 USD Washington Annual Salary Range $100,500 - $245,000 USD Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Equal Opportunity Statement Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. What's it like to be a part of NeuraFlash, Part of Accenture? Remote & In-Person: Whether you work out of our HQ in Massachusetts, one of our regional hubs, or you're one of over half of our NeuraFlash, Part of Accenture Family who work remotely, we're focused on keeping everyone connected and unified as one team. Travel: Get ready to pack your bags and hit the road! For certain roles, travel is an exciting part of the job, with an anticipated travel commitment of up to 25%. So, if you have a passion for adventure and don't mind a little jet-setting, this opportunity could be your ticket to exploring new places while making a positive impact on clients. Flexibility: Do you have to take the dog to the vet, pick up the kids from school, or the in-laws from the airport? We know that a perfect 9-5 isn't possible. So you have to jump out to do any of those, no problem! We build a culture of trust and understanding. We value good work not the hours in which you get it done Collaboration: You have a voice here! If you work with a team of smart people like we do, it's a no-brainer to take suggestions and feedback on how to keep NeuraFlash, Part of Accenture thriving. Our executive team holds town halls & company meetings where they address any suggestions or questions asked, no matter how big or small. Celebrate Often: We take our work seriously, but we don't take ourselves too seriously. Whether it is an arm wrestling contest, costume party, or ugly holiday sweaters our teams love to have fun. And while we work hard, we don't forget to slow down and celebrate the big things and the small things together.
09/23/2026
Full time
Why NeuraFlash, Part of Accenture: At NeuraFlash, Part of Accenture, we are redefining the future of business through the power of AI and groundbreaking technologies like Agentforce. As a trusted leader in AI, AWS, and Salesforce innovation, we craft intelligent solutions-integrating Salesforce Einstein, Service Cloud Voice, Amazon Connect, Agentforce and more-to revolutionize workflows, elevate customer experiences, and deliver tangible results. From conversational AI to predictive analytics, we empower organizations to stay ahead in an ever-evolving digital landscape with cutting-edge, tailored strategies. We are proud to be creating the future of generative AI and AI agents. Salesforce has launched Agentforce, and NeuraFlash, Part of Accenture, was selected as the only partner for the private beta prior to launch. Post-launch, we've earned the distinction of being Salesforce's partner for Agentforce, reinforcing our role as pioneers in this transformative space. Be part of the NeuraFlash, Part of Accenture journey and help shape the next wave of AI-powered transformation. Here, you'll collaborate with trailblazing experts who are passionate about pushing boundaries and leveraging technologies like Agentforce to create impactful customer outcomes. Whether you're developing advanced AI-powered bots, streamlining business operations, or building solutions using the latest generative AI technologies, your work will drive innovation at scale. If you're ready to make your mark in the AI space, NeuraFlash, Part of Accenture is the place for you. AS AN AWS TECHNICAL ARCHITECT, YOU WILL HAVE THE OPPORTUNITY TO: Ensure customer success in building and launching Amazon Connect solutions for NeuraFlash customers Conduct technology assessment and audits to identify the need (from an ROI and Outcomes perspective) to move to CCaaS AWS Connect Platform, improving agent experience and productivity Facilitate business process reviews to identify customer requirements and processes Educate customers on the value proposition of AWS, and participate in deep architectural discussions to ensure solutions are designed for successful deployment in the cloud Lead discovery for customers, help customers build ROIs for projects, and deliver presentations and estimate for delivering that ROI Translate customer requirements into contact center design, leveraging best practices, and other AWS Services Oversee and mentor technical teams, providing guidance and support to ensure that proposed solution (on Salesforce and AWS Cloud) is delivered on time, on budget, and to the required quality standards Act as a liaison between technical teams and business stakeholders, communicating technical concepts in a clear and understandable manner, and managing expectations and priorities Drive best practice contact center design into each and every aspect of solution delivery Effectively manage all aspects of project and customer communications Deliver customer end user training and documentation Exercise independent judgment, and take the lead role on enterprise level projects with minimal direction from senior management Lead vision and strategy discussions with contact center and customer service leadership and management QUALIFICATIONS: Customer-facing contact center experience Experience building integrations across WFM, CRM, and contact center solutions Experience with communications protocols and APIs such as WebRTC and SIP Experience with hands-on Scripting/coding (e.g., python, java, c#, .NET, Node.js) Communication and presentation skills with a high degree of comfort speaking with executives, IT Management, and customers API integration experience Strong troubleshooting and debugging skills Experience with Cloudformation, Contact Flow Design, Lambda Integration, Lex Integration, and Call Center Routing Proficient in understanding and documenting the infrastructure requirements and specifications, including resource types, networking, security, and compliance needs. Knowledge of automation tools and frameworks for building, testing, and deploying software, such as Jenkins, GitLab CI/CD, CodeDeploy Contact Center architecture knowledge Experienced in implementing infrastructure as code using AWS Cloud Development Kit (CDK) and Terraform, ensuring consistent and efficient infrastructure deployment. Capable of setting up monitoring and logging for infrastructure components and performing ongoing maintenance to ensure optimal performance and availability. Experience in technology/software sales, pre-sales, or consulting Advanced knowledge of AWS services and cloud architecture Salesforce knowledge and familiarity with Salesforce Service Cloud Contact center product knowledge of other platforms (Genesys, Cisco, Avaya, Twilio, etc.) Experience with WorkForce Management solutions Experience working with outbound dialers and campaign management Knowledge of software development methodologies such as Agile and Scrum AWS Cloud Practitioner Certification AWS Developer Associate Certification or Professional AWS Solution Architect Certification or Professional Salesforce Certified Administrator Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We anticipate this job posting will be posted on 04/22/2026 and open for at least 3 days. California Annual Salary Range $94,400 - $266,300 USD Cleveland Annual Salary Range $87,400 - $213,000 USD Colorado Annual Salary Range $94,400 - $230,000 USD District of Columbia Annual Salary Range $100,500 - $245,000 USD Illinois Annual Salary Range $87,400 - $230,000 USD Maryland Annual Salary Range $94,400 - $230,000 USD Massachusetts Annual Salary Range $94,400 - $245,000 USD Minnesota Annual Salary Range $94,400 - $230,000 USD New York / New Jersey Annual Salary Range $87,400 - $266,300 USD Washington Annual Salary Range $100,500 - $245,000 USD Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Equal Opportunity Statement Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. What's it like to be a part of NeuraFlash, Part of Accenture? Remote & In-Person: Whether you work out of our HQ in Massachusetts, one of our regional hubs, or you're one of over half of our NeuraFlash, Part of Accenture Family who work remotely, we're focused on keeping everyone connected and unified as one team. Travel: Get ready to pack your bags and hit the road! For certain roles, travel is an exciting part of the job, with an anticipated travel commitment of up to 25%. So, if you have a passion for adventure and don't mind a little jet-setting, this opportunity could be your ticket to exploring new places while making a positive impact on clients. Flexibility: Do you have to take the dog to the vet, pick up the kids from school, or the in-laws from the airport? We know that a perfect 9-5 isn't possible. So you have to jump out to do any of those, no problem! We build a culture of trust and understanding. We value good work not the hours in which you get it done Collaboration: You have a voice here! If you work with a team of smart people like we do, it's a no-brainer to take suggestions and feedback on how to keep NeuraFlash, Part of Accenture thriving. Our executive team holds town halls & company meetings where they address any suggestions or questions asked, no matter how big or small. Celebrate Often: We take our work seriously, but we don't take ourselves too seriously. Whether it is an arm wrestling contest, costume party, or ugly holiday sweaters our teams love to have fun. And while we work hard, we don't forget to slow down and celebrate the big things and the small things together.
Why NeuraFlash, Part of Accenture: At NeuraFlash, Part of Accenture, we are redefining the future of business through the power of AI and groundbreaking technologies like Agentforce. As a trusted leader in AI, AWS, and Salesforce innovation, we craft intelligent solutions-integrating Salesforce Einstein, Service Cloud Voice, Amazon Connect, Agentforce and more-to revolutionize workflows, elevate customer experiences, and deliver tangible results. From conversational AI to predictive analytics, we empower organizations to stay ahead in an ever-evolving digital landscape with cutting-edge, tailored strategies. We are proud to be creating the future of generative AI and AI agents. Salesforce has launched Agentforce, and NeuraFlash, Part of Accenture, was selected as the only partner for the private beta prior to launch. Post-launch, we've earned the distinction of being Salesforce's partner for Agentforce, reinforcing our role as pioneers in this transformative space. Be part of the NeuraFlash, Part of Accenture journey and help shape the next wave of AI-powered transformation. Here, you'll collaborate with trailblazing experts who are passionate about pushing boundaries and leveraging technologies like Agentforce to create impactful customer outcomes. Whether you're developing advanced AI-powered bots, streamlining business operations, or building solutions using the latest generative AI technologies, your work will drive innovation at scale. If you're ready to make your mark in the AI space, NeuraFlash, Part of Accenture is the place for you. We are excited to welcome a talented Revenue Cloud Solution Architect to our Revenue Solutions team. This role is pivotal in driving business transformation and enabling organizations to unlock the full potential of their Go-to-Market strategies. By leveraging state-of-the-art Quote-to-Cash technologies, the Revenue Cloud Solution Architect will help optimize sales and finance alignment, streamline operational processes, and deliver scalable, impactful solutions. Our team is committed to building a best-in-class organization. In this role, you will have the opportunity to contribute meaningfully while collaborating with a dynamic group of colleagues, innovative clients, and trusted partners, including Salesforce and AI teams. As a Solution Architect, you will be responsible for the success of solution designs, providing technical leadership, and delivering transformational and financially impactful client solutions. Position Overview The Revenue Cloud Solution Architect will lead the design, development, and implementation of Revenue Cloud and Revenue Lifecycle Management (RLM) / Revenue Cloud Advanced (RCA) solutions for digital transformation initiatives. This role involves close collaboration with business stakeholders, product owners, and technical teams to ensure the delivery of tailored solutions that meet specific business requirements. You will play a key role in modernizing Quote-to-Cash processes, driving efficiencies, improving sales performance, and scaling revenue operations. Your responsibilities will span both strategic vision and hands-on technical execution, ensuring that projects deliver measurable value and align with long-term business objectives. Additionally, you will serve as a thought leader in the areas of Revenue Lifecycle Management, platform enablement, and systems integration, driving innovation and best practices across multiple initiatives. Key Responsibilities Solution Design and Architecture Architect Comprehensive Solutions: Design end-to-end Salesforce solutions tailored for Revenue Cloud, focusing on areas such as Configure, Price, Quote (CPQ) and Invoicing. Develop Blueprints: Create detailed architectural blueprints that incorporate integrations, customizations, and system configurations to ensure seamless functionality. Quote-to-Cash Optimization Evaluate Processes: Analyze existing product configuration, pricing, quoting, and ordering workflows to identify inefficiencies and improvement opportunities. Implement Enhancements: Develop solutions that align with business goals, ensuring scalability, accuracy, and optimized performance across Quote-to-Cash processes. Stakeholder Collaboration and Management Engage Stakeholders: Work closely with cross-functional teams, including senior leadership, Sales Operations, IT, Legal, Accounting, and Finance, to define requirements and create roadmaps. Ensure Alignment: Act as the primary liaison between technical and business teams, fostering effective communication and shared understanding of project objectives. Implementation Leadership Guide Projects: Lead the implementation of Salesforce Revenue Cloud solutions, ensuring that projects are completed on time, within budget, and to the satisfaction of all stakeholders. Oversee Technical Execution: Provide strategic direction and manage all phases of the implementation process, including design, testing, deployment, and post-go-live support. Customization and Integration Leverage Tools: Utilize Salesforce-native tools and features, such as Product Catalog Management, Transaction Management, Dynamic Revenue Orchestration, and Invoice Management. Manage Integrations: Oversee the integration of Salesforce with other enterprise systems (e.g., Netsuite, Avalara, Stripe, DocuSign) and ensure data integrity during migrations. Continuous Improvement and Innovation Stay Current: Keep up with Salesforce updates and industry trends, proactively identifying opportunities for improvement and innovation. Recommend Solutions: Evaluate and introduce new features, tools, and processes to enhance Salesforce-based workflows and operational efficiency. Qualifications Experience Salesforce Expertise: A minimum of 4+ years working with Salesforce, with at least 3 years specializing in CPQ and Billing projects. Proven Track Record: Experience leading large-scale transformation projects, particularly in enterprise settings. Financial Knowledge: Solid understanding of accounting operations, including billing, invoicing, payment processing, and revenue recognition fundamentals. Metrics Mastery: Familiarity with financial metrics such as ACV, TCV, ARR, and other performance indicators, with the ability to model and explain calculations effectively. CLM & E-Signature Tools: Hands-on experience with tools like Document Generation, Contract Lifecycle Management (CLM), and e-signature solutions. Integration Skills: Knowledge of integrating Salesforce with third-party platforms, including Netsuite, Avalara, Stripe, DocuSign, SureTax, Chargent, or Dynamics 365. Technical Skills Salesforce Configuration: Proficient in Salesforce configuration, including objects, flows, Lightning components, and customizations. Custom Solutions: Experience in building and extending custom quoting and pricing solutions on the Salesforce platform. Development Skills: Familiarity with Apex and Omniscript is a plus. Data Analytics: Expertise in Salesforce reporting, dashboards, and sales performance analytics. Integration Tools: Knowledge of integration concepts and tools like MuleSoft, Workato, and REST/SOAP APIs. Leadership & Communication Effective Communication: Strong ability to present complex technical concepts in a clear, relatable manner to diverse audiences. Team Leadership: Proven skills in mentoring and guiding cross-functional teams, including analysts, developers, and consultants. Risk Management: Capable of identifying potential risks and communicating timeline adjustments effectively to stakeholders. Business Acumen Process Expertise: In-depth knowledge of Sales, Product Management, Billing, and Accounting workflows, and their interdependencies. Go-to-Market Knowledge: Familiarity with Channel, Partner, and Marketplace go-to-market strategies. Results-Driven: Proven ability to align Salesforce solutions with business objectives to deliver measurable performance improvements. Certifications (Preferred) Salesforce Certified Revenue Cloud Consultant (strongly preferred) Salesforce Certified CPQ Specialist (strongly preferred) Salesforce Certified Omnistudio Consultant Salesforce Certified Platform App Builder Salesforce Certified Platform Developer I Salesforce Certified Application Architect (strongly preferred) Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We anticipate this job posting will be posted on 04/22/2026 and open for at least 3 days. California Annual Salary Range $94,400 - $266,300 USD Cleveland Annual Salary Range $87,400 - $213,000 USD Colorado Annual Salary Range $94,400 - $230,000 USD District of Columbia Annual Salary Range $100,500 - $245,000 USD Illinois Annual Salary Range $87,400 - $230,000 USD . click apply for full job details
09/23/2026
Full time
Why NeuraFlash, Part of Accenture: At NeuraFlash, Part of Accenture, we are redefining the future of business through the power of AI and groundbreaking technologies like Agentforce. As a trusted leader in AI, AWS, and Salesforce innovation, we craft intelligent solutions-integrating Salesforce Einstein, Service Cloud Voice, Amazon Connect, Agentforce and more-to revolutionize workflows, elevate customer experiences, and deliver tangible results. From conversational AI to predictive analytics, we empower organizations to stay ahead in an ever-evolving digital landscape with cutting-edge, tailored strategies. We are proud to be creating the future of generative AI and AI agents. Salesforce has launched Agentforce, and NeuraFlash, Part of Accenture, was selected as the only partner for the private beta prior to launch. Post-launch, we've earned the distinction of being Salesforce's partner for Agentforce, reinforcing our role as pioneers in this transformative space. Be part of the NeuraFlash, Part of Accenture journey and help shape the next wave of AI-powered transformation. Here, you'll collaborate with trailblazing experts who are passionate about pushing boundaries and leveraging technologies like Agentforce to create impactful customer outcomes. Whether you're developing advanced AI-powered bots, streamlining business operations, or building solutions using the latest generative AI technologies, your work will drive innovation at scale. If you're ready to make your mark in the AI space, NeuraFlash, Part of Accenture is the place for you. We are excited to welcome a talented Revenue Cloud Solution Architect to our Revenue Solutions team. This role is pivotal in driving business transformation and enabling organizations to unlock the full potential of their Go-to-Market strategies. By leveraging state-of-the-art Quote-to-Cash technologies, the Revenue Cloud Solution Architect will help optimize sales and finance alignment, streamline operational processes, and deliver scalable, impactful solutions. Our team is committed to building a best-in-class organization. In this role, you will have the opportunity to contribute meaningfully while collaborating with a dynamic group of colleagues, innovative clients, and trusted partners, including Salesforce and AI teams. As a Solution Architect, you will be responsible for the success of solution designs, providing technical leadership, and delivering transformational and financially impactful client solutions. Position Overview The Revenue Cloud Solution Architect will lead the design, development, and implementation of Revenue Cloud and Revenue Lifecycle Management (RLM) / Revenue Cloud Advanced (RCA) solutions for digital transformation initiatives. This role involves close collaboration with business stakeholders, product owners, and technical teams to ensure the delivery of tailored solutions that meet specific business requirements. You will play a key role in modernizing Quote-to-Cash processes, driving efficiencies, improving sales performance, and scaling revenue operations. Your responsibilities will span both strategic vision and hands-on technical execution, ensuring that projects deliver measurable value and align with long-term business objectives. Additionally, you will serve as a thought leader in the areas of Revenue Lifecycle Management, platform enablement, and systems integration, driving innovation and best practices across multiple initiatives. Key Responsibilities Solution Design and Architecture Architect Comprehensive Solutions: Design end-to-end Salesforce solutions tailored for Revenue Cloud, focusing on areas such as Configure, Price, Quote (CPQ) and Invoicing. Develop Blueprints: Create detailed architectural blueprints that incorporate integrations, customizations, and system configurations to ensure seamless functionality. Quote-to-Cash Optimization Evaluate Processes: Analyze existing product configuration, pricing, quoting, and ordering workflows to identify inefficiencies and improvement opportunities. Implement Enhancements: Develop solutions that align with business goals, ensuring scalability, accuracy, and optimized performance across Quote-to-Cash processes. Stakeholder Collaboration and Management Engage Stakeholders: Work closely with cross-functional teams, including senior leadership, Sales Operations, IT, Legal, Accounting, and Finance, to define requirements and create roadmaps. Ensure Alignment: Act as the primary liaison between technical and business teams, fostering effective communication and shared understanding of project objectives. Implementation Leadership Guide Projects: Lead the implementation of Salesforce Revenue Cloud solutions, ensuring that projects are completed on time, within budget, and to the satisfaction of all stakeholders. Oversee Technical Execution: Provide strategic direction and manage all phases of the implementation process, including design, testing, deployment, and post-go-live support. Customization and Integration Leverage Tools: Utilize Salesforce-native tools and features, such as Product Catalog Management, Transaction Management, Dynamic Revenue Orchestration, and Invoice Management. Manage Integrations: Oversee the integration of Salesforce with other enterprise systems (e.g., Netsuite, Avalara, Stripe, DocuSign) and ensure data integrity during migrations. Continuous Improvement and Innovation Stay Current: Keep up with Salesforce updates and industry trends, proactively identifying opportunities for improvement and innovation. Recommend Solutions: Evaluate and introduce new features, tools, and processes to enhance Salesforce-based workflows and operational efficiency. Qualifications Experience Salesforce Expertise: A minimum of 4+ years working with Salesforce, with at least 3 years specializing in CPQ and Billing projects. Proven Track Record: Experience leading large-scale transformation projects, particularly in enterprise settings. Financial Knowledge: Solid understanding of accounting operations, including billing, invoicing, payment processing, and revenue recognition fundamentals. Metrics Mastery: Familiarity with financial metrics such as ACV, TCV, ARR, and other performance indicators, with the ability to model and explain calculations effectively. CLM & E-Signature Tools: Hands-on experience with tools like Document Generation, Contract Lifecycle Management (CLM), and e-signature solutions. Integration Skills: Knowledge of integrating Salesforce with third-party platforms, including Netsuite, Avalara, Stripe, DocuSign, SureTax, Chargent, or Dynamics 365. Technical Skills Salesforce Configuration: Proficient in Salesforce configuration, including objects, flows, Lightning components, and customizations. Custom Solutions: Experience in building and extending custom quoting and pricing solutions on the Salesforce platform. Development Skills: Familiarity with Apex and Omniscript is a plus. Data Analytics: Expertise in Salesforce reporting, dashboards, and sales performance analytics. Integration Tools: Knowledge of integration concepts and tools like MuleSoft, Workato, and REST/SOAP APIs. Leadership & Communication Effective Communication: Strong ability to present complex technical concepts in a clear, relatable manner to diverse audiences. Team Leadership: Proven skills in mentoring and guiding cross-functional teams, including analysts, developers, and consultants. Risk Management: Capable of identifying potential risks and communicating timeline adjustments effectively to stakeholders. Business Acumen Process Expertise: In-depth knowledge of Sales, Product Management, Billing, and Accounting workflows, and their interdependencies. Go-to-Market Knowledge: Familiarity with Channel, Partner, and Marketplace go-to-market strategies. Results-Driven: Proven ability to align Salesforce solutions with business objectives to deliver measurable performance improvements. Certifications (Preferred) Salesforce Certified Revenue Cloud Consultant (strongly preferred) Salesforce Certified CPQ Specialist (strongly preferred) Salesforce Certified Omnistudio Consultant Salesforce Certified Platform App Builder Salesforce Certified Platform Developer I Salesforce Certified Application Architect (strongly preferred) Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We anticipate this job posting will be posted on 04/22/2026 and open for at least 3 days. California Annual Salary Range $94,400 - $266,300 USD Cleveland Annual Salary Range $87,400 - $213,000 USD Colorado Annual Salary Range $94,400 - $230,000 USD District of Columbia Annual Salary Range $100,500 - $245,000 USD Illinois Annual Salary Range $87,400 - $230,000 USD . click apply for full job details
The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. Overview The Platform team owns the backend behind everything Speechify ships: the public TTS API, payments, subscriptions, auth, consumption tracking, and analytics - serving over 50 million users across iOS, Android, Mac, Chrome, and web. These are systems where correctness compounds. Subscription state has to stay consistent across five clients and two app-store billing systems that each go quiet at the worst moment. Consumption metering has to be exact enough to bill on and cheap enough to run at our request volume. The public TTS API has external customers with their own products depending on our latency and uptime. None of this degrades gracefully - it is either right, or someone gets charged twice. The job is to make your own job smaller. Every system you own here should need less of you a year from now than it did the day you took it, and the reward for that is a larger one. That is the entire growth path on this team - there is no separate ladder, and no ceiling except the one you stop raising. We are a flat organization: people become leaders here by taking scope and being right about it, fast. What Yo u' ll Do Design, build, and own the APIs behind payments, subscriptions, auth, consumption tracking, and our public TTS API Take on services you didn't write and make them faster, cheaper, and harder to break Establish that a change is correct before it ships, and leave behind the checks that keep it correct after you've moved on Automate the parts of your role that shouldn't need a person, then go take on what that freed you up for Turn work you've done once into work the whole team can repeat Design B2B and enterprise integrations for customers building on top of us Work with product, mobile, and web to keep backend architecture ahead of where the product is going An Ideal Candidate Should Have Proven backend experience in TS/Node (required) Direct experience with GCP; working knowledge of AWS, Azure, or another cloud A habit of giving away work you used to own, and something to show for the room it created A daily working setup with AI agents you can describe in detail - what runs unattended, what you review, and where you've decided it doesn't get to act alone The instinct to check a result against the system itself - logs, database state, the actual request - rather than against a summary of it Judgment about what not to build, and the ability to say plainly why you dropped it A preference for being corrected over being right Preferred: Docker and containerized deployments Preferred: deploying high-availability applications on Kubernetes Interview process Several technical interviews plus a take-home assessment on a real codebase. We aim to finish within a week. The assessment runs in two stages: you'll submit, get real feedback from an engineer on this team, and have time to act on it. Use the tools you use every day. You'll be asked to walk through your reasoning, so bring it. What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio - a rapidly evolving tech domain The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
09/23/2026
Full time
The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. Overview The Platform team owns the backend behind everything Speechify ships: the public TTS API, payments, subscriptions, auth, consumption tracking, and analytics - serving over 50 million users across iOS, Android, Mac, Chrome, and web. These are systems where correctness compounds. Subscription state has to stay consistent across five clients and two app-store billing systems that each go quiet at the worst moment. Consumption metering has to be exact enough to bill on and cheap enough to run at our request volume. The public TTS API has external customers with their own products depending on our latency and uptime. None of this degrades gracefully - it is either right, or someone gets charged twice. The job is to make your own job smaller. Every system you own here should need less of you a year from now than it did the day you took it, and the reward for that is a larger one. That is the entire growth path on this team - there is no separate ladder, and no ceiling except the one you stop raising. We are a flat organization: people become leaders here by taking scope and being right about it, fast. What Yo u' ll Do Design, build, and own the APIs behind payments, subscriptions, auth, consumption tracking, and our public TTS API Take on services you didn't write and make them faster, cheaper, and harder to break Establish that a change is correct before it ships, and leave behind the checks that keep it correct after you've moved on Automate the parts of your role that shouldn't need a person, then go take on what that freed you up for Turn work you've done once into work the whole team can repeat Design B2B and enterprise integrations for customers building on top of us Work with product, mobile, and web to keep backend architecture ahead of where the product is going An Ideal Candidate Should Have Proven backend experience in TS/Node (required) Direct experience with GCP; working knowledge of AWS, Azure, or another cloud A habit of giving away work you used to own, and something to show for the room it created A daily working setup with AI agents you can describe in detail - what runs unattended, what you review, and where you've decided it doesn't get to act alone The instinct to check a result against the system itself - logs, database state, the actual request - rather than against a summary of it Judgment about what not to build, and the ability to say plainly why you dropped it A preference for being corrected over being right Preferred: Docker and containerized deployments Preferred: deploying high-availability applications on Kubernetes Interview process Several technical interviews plus a take-home assessment on a real codebase. We aim to finish within a week. The assessment runs in two stages: you'll submit, get real feedback from an engineer on this team, and have time to act on it. Use the tools you use every day. You'll be asked to walk through your reasoning, so bring it. What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio - a rapidly evolving tech domain The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. Overview The Platform team owns the backend behind everything Speechify ships: the public TTS API, payments, subscriptions, auth, consumption tracking, and analytics - serving over 50 million users across iOS, Android, Mac, Chrome, and web. These are systems where correctness compounds. Subscription state has to stay consistent across five clients and two app-store billing systems that each go quiet at the worst moment. Consumption metering has to be exact enough to bill on and cheap enough to run at our request volume. The public TTS API has external customers with their own products depending on our latency and uptime. None of this degrades gracefully - it is either right, or someone gets charged twice. The job is to make your own job smaller. Every system you own here should need less of you a year from now than it did the day you took it, and the reward for that is a larger one. That is the entire growth path on this team - there is no separate ladder, and no ceiling except the one you stop raising. We are a flat organization: people become leaders here by taking scope and being right about it, fast. What Yo u' ll Do Design, build, and own the APIs behind payments, subscriptions, auth, consumption tracking, and our public TTS API Take on services you didn't write and make them faster, cheaper, and harder to break Establish that a change is correct before it ships, and leave behind the checks that keep it correct after you've moved on Automate the parts of your role that shouldn't need a person, then go take on what that freed you up for Turn work you've done once into work the whole team can repeat Design B2B and enterprise integrations for customers building on top of us Work with product, mobile, and web to keep backend architecture ahead of where the product is going An Ideal Candidate Should Have Proven backend experience in TS/Node (required) Direct experience with GCP; working knowledge of AWS, Azure, or another cloud A habit of giving away work you used to own, and something to show for the room it created A daily working setup with AI agents you can describe in detail - what runs unattended, what you review, and where you've decided it doesn't get to act alone The instinct to check a result against the system itself - logs, database state, the actual request - rather than against a summary of it Judgment about what not to build, and the ability to say plainly why you dropped it A preference for being corrected over being right Preferred: Docker and containerized deployments Preferred: deploying high-availability applications on Kubernetes Interview process Several technical interviews plus a take-home assessment on a real codebase. We aim to finish within a week. The assessment runs in two stages: you'll submit, get real feedback from an engineer on this team, and have time to act on it. Use the tools you use every day. You'll be asked to walk through your reasoning, so bring it. What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio - a rapidly evolving tech domain The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
09/23/2026
Full time
The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. Overview The Platform team owns the backend behind everything Speechify ships: the public TTS API, payments, subscriptions, auth, consumption tracking, and analytics - serving over 50 million users across iOS, Android, Mac, Chrome, and web. These are systems where correctness compounds. Subscription state has to stay consistent across five clients and two app-store billing systems that each go quiet at the worst moment. Consumption metering has to be exact enough to bill on and cheap enough to run at our request volume. The public TTS API has external customers with their own products depending on our latency and uptime. None of this degrades gracefully - it is either right, or someone gets charged twice. The job is to make your own job smaller. Every system you own here should need less of you a year from now than it did the day you took it, and the reward for that is a larger one. That is the entire growth path on this team - there is no separate ladder, and no ceiling except the one you stop raising. We are a flat organization: people become leaders here by taking scope and being right about it, fast. What Yo u' ll Do Design, build, and own the APIs behind payments, subscriptions, auth, consumption tracking, and our public TTS API Take on services you didn't write and make them faster, cheaper, and harder to break Establish that a change is correct before it ships, and leave behind the checks that keep it correct after you've moved on Automate the parts of your role that shouldn't need a person, then go take on what that freed you up for Turn work you've done once into work the whole team can repeat Design B2B and enterprise integrations for customers building on top of us Work with product, mobile, and web to keep backend architecture ahead of where the product is going An Ideal Candidate Should Have Proven backend experience in TS/Node (required) Direct experience with GCP; working knowledge of AWS, Azure, or another cloud A habit of giving away work you used to own, and something to show for the room it created A daily working setup with AI agents you can describe in detail - what runs unattended, what you review, and where you've decided it doesn't get to act alone The instinct to check a result against the system itself - logs, database state, the actual request - rather than against a summary of it Judgment about what not to build, and the ability to say plainly why you dropped it A preference for being corrected over being right Preferred: Docker and containerized deployments Preferred: deploying high-availability applications on Kubernetes Interview process Several technical interviews plus a take-home assessment on a real codebase. We aim to finish within a week. The assessment runs in two stages: you'll submit, get real feedback from an engineer on this team, and have time to act on it. Use the tools you use every day. You'll be asked to walk through your reasoning, so bring it. What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio - a rapidly evolving tech domain The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. Overview The Platform team owns the backend behind everything Speechify ships: the public TTS API, payments, subscriptions, auth, consumption tracking, and analytics - serving over 50 million users across iOS, Android, Mac, Chrome, and web. These are systems where correctness compounds. Subscription state has to stay consistent across five clients and two app-store billing systems that each go quiet at the worst moment. Consumption metering has to be exact enough to bill on and cheap enough to run at our request volume. The public TTS API has external customers with their own products depending on our latency and uptime. None of this degrades gracefully - it is either right, or someone gets charged twice. The job is to make your own job smaller. Every system you own here should need less of you a year from now than it did the day you took it, and the reward for that is a larger one. That is the entire growth path on this team - there is no separate ladder, and no ceiling except the one you stop raising. We are a flat organization: people become leaders here by taking scope and being right about it, fast. What Yo u' ll Do Design, build, and own the APIs behind payments, subscriptions, auth, consumption tracking, and our public TTS API Take on services you didn't write and make them faster, cheaper, and harder to break Establish that a change is correct before it ships, and leave behind the checks that keep it correct after you've moved on Automate the parts of your role that shouldn't need a person, then go take on what that freed you up for Turn work you've done once into work the whole team can repeat Design B2B and enterprise integrations for customers building on top of us Work with product, mobile, and web to keep backend architecture ahead of where the product is going An Ideal Candidate Should Have Proven backend experience in TS/Node (required) Direct experience with GCP; working knowledge of AWS, Azure, or another cloud A habit of giving away work you used to own, and something to show for the room it created A daily working setup with AI agents you can describe in detail - what runs unattended, what you review, and where you've decided it doesn't get to act alone The instinct to check a result against the system itself - logs, database state, the actual request - rather than against a summary of it Judgment about what not to build, and the ability to say plainly why you dropped it A preference for being corrected over being right Preferred: Docker and containerized deployments Preferred: deploying high-availability applications on Kubernetes Interview process Several technical interviews plus a take-home assessment on a real codebase. We aim to finish within a week. The assessment runs in two stages: you'll submit, get real feedback from an engineer on this team, and have time to act on it. Use the tools you use every day. You'll be asked to walk through your reasoning, so bring it. What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio - a rapidly evolving tech domain The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
09/23/2026
Full time
The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. Overview The Platform team owns the backend behind everything Speechify ships: the public TTS API, payments, subscriptions, auth, consumption tracking, and analytics - serving over 50 million users across iOS, Android, Mac, Chrome, and web. These are systems where correctness compounds. Subscription state has to stay consistent across five clients and two app-store billing systems that each go quiet at the worst moment. Consumption metering has to be exact enough to bill on and cheap enough to run at our request volume. The public TTS API has external customers with their own products depending on our latency and uptime. None of this degrades gracefully - it is either right, or someone gets charged twice. The job is to make your own job smaller. Every system you own here should need less of you a year from now than it did the day you took it, and the reward for that is a larger one. That is the entire growth path on this team - there is no separate ladder, and no ceiling except the one you stop raising. We are a flat organization: people become leaders here by taking scope and being right about it, fast. What Yo u' ll Do Design, build, and own the APIs behind payments, subscriptions, auth, consumption tracking, and our public TTS API Take on services you didn't write and make them faster, cheaper, and harder to break Establish that a change is correct before it ships, and leave behind the checks that keep it correct after you've moved on Automate the parts of your role that shouldn't need a person, then go take on what that freed you up for Turn work you've done once into work the whole team can repeat Design B2B and enterprise integrations for customers building on top of us Work with product, mobile, and web to keep backend architecture ahead of where the product is going An Ideal Candidate Should Have Proven backend experience in TS/Node (required) Direct experience with GCP; working knowledge of AWS, Azure, or another cloud A habit of giving away work you used to own, and something to show for the room it created A daily working setup with AI agents you can describe in detail - what runs unattended, what you review, and where you've decided it doesn't get to act alone The instinct to check a result against the system itself - logs, database state, the actual request - rather than against a summary of it Judgment about what not to build, and the ability to say plainly why you dropped it A preference for being corrected over being right Preferred: Docker and containerized deployments Preferred: deploying high-availability applications on Kubernetes Interview process Several technical interviews plus a take-home assessment on a real codebase. We aim to finish within a week. The assessment runs in two stages: you'll submit, get real feedback from an engineer on this team, and have time to act on it. Use the tools you use every day. You'll be asked to walk through your reasoning, so bring it. What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio - a rapidly evolving tech domain The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Integration meets Innovation At Celigo, we believe integration should empower - not exhaust - innovation. As a modern Integration and Automation Platform (iPaaS), we're on a mission to simplify how companies integrate, automate, and optimize processes. Powered by game-changing technology like runtime AI and prebuilt, mission-critical integrations, Celigo is redefining how businesses connect their world. Celigo is building the operating system for business automation - an integration platform that helps thousands of companies connect their applications, automate workflows, and unlock the power of AI-driven agents. We're looking for a Senior Director of Product Management to own strategy and execution across some of the most consequential product lines in our portfolio: the core platform, our AI product suite, API management, and data ingestion. This is a role where your strategic fingerprints will be visible across the business - from revenue contribution and customer retention to how product management itself is practiced in an AI-first world. About the Team Celigo's product organization is built on deep collaboration between Product Management, UX Design and Research, and Engineering - co-owning outcomes from problem definition through delivery. Our leadership team runs on a charter built around dynamic domain ownership, evidence-based strategy, and AI-augmented velocity, meaning we use AI not just in our products but to make our own teams faster and smarter. You'll work alongside a Sr Director of UX, a Director of PM covering other parts of the portfolio, a Director of Product Operations, and Engineering leadership. The culture is direct, craft-oriented, and allergic to performative alignment. We debate hard behind closed doors and present a united front to our teams. The Opportunity You'll lead a team of experienced product managers covering the core platform, AI (Ora, Agent Builder, MCP Server, Guardrails), API management (including an OEM partnership), and data ingestion (including an OEM partnership). The portfolio is broad, strategically important, and directly tied to Celigo's competitive positioning in the iPaaS market. The team is capable and in place, and we're continuing to deepen strategic autonomy across the PM org - strengthening the muscle for PMs to define problems, make decisions, and own outcomes with increasing independence. You'll carry that work forward while also sitting at the center of Celigo's AI transformation, both shipping AI products that deliver real customer outcomes and evolving how product development works in an AI-first environment. What would you do if hired? Own product strategy for Core Platform, AI, API Management, and Data Ingestion - developing multi-quarter roadmaps tied to revenue, retention, and competitive positioning. Continue deepening strategic autonomy across the PM org - extend decision-making authority and vision ownership to senior PMs and strengthen the structures that sustain independent operation. Drive AI product-market fit - ensure Celigo's AI capabilities translate into measurable customer success with autonomous agents and AI-assisted integrations. Lead the AI transformation of PM practice - bring a point of view on how AI reshapes the PM role and the product development lifecycle, then operationalize it. Manage and develop a distributed team - set clear expectations, build trust across time zones, and raise the bar on talent. Represent Celigo externally - support strategic sales, speak at events, and contribute to analyst relations (Gartner, Forrester) to strengthen market position. Who are we looking for? Skills & Abilities Strong external communication skills - sales support, conference speaking, analyst engagement History of developing leaders internally - coaching senior ICs into people leaders and managers into directors Education & Experience More than 15 years of progressive product management experience in technical B2B SaaS with complex, customer-facing products Demonstrated Sr Director-level scope - multi-product-line strategy, business outcomes ownership, and organizational change leadership Expert partnership with UX across research, design, and content, driving measurable customer and business outcomes through co-ownership Hands-on experience shipping AI-native or AI-augmented products (not just AI-adjacent) Track record managing distributed teams, including teams based in India Experience in mid-scale companies ( 750 people); comfort operating with less infrastructure than a mega-corp Preferred Experience Experience with integration platforms, API management, or data pipeline products Familiarity with iPaaS market dynamics and competitive landscape (Gartner MQ, Forrester Wave) Experience managing OEM partnerships or embedded technology relationships A formed perspective (backed by experience) on how AI is transforming the PDLC and the PM role How We Work Product Managers at Celigo are expected to be grounded in customer insight, fluent in data, and accountable for outcomes - not just delivery. We use AI as a force multiplier across the product development lifecycle, and we expect leaders to model that. Our craft culture values evidence over opinion, direct feedback over diplomatic silence, and strategic clarity over activity volume. Celigo reasonably expects to pay a base salary between $210,000 and $230,000 per year for this position. Actual starting base pay will be determined by skills, experience, geographic location, and other non-discriminatory factors permitted by law. Total compensation may also include variable incentives, benefits, or other perks as outlined in any formal employment offer made. Why Celigo We believe excellence comes from each of us - and that conviction shapes how we build products, develop people, and compete. Celigo is a place where asking "How can it be better?" isn't a slogan; it's how we operate every day. We invest in people with real career paths, direct coaching, and a high bar that respects your craft. And we win when our customers win - every product decision traces back to measurable customer outcomes. If you want a role where strategy is real, autonomy is earned and expected, and AI isn't a buzzword but a daily practice - we'd like to talk. Celigo is proud to be A 2025 Gartner Customers' Choice for iPaaS. The only vendor to receive this award. Celigo is a Visionary in the Gartner Magic Quadrant for iPaaS for the second consecutive year Celigo is ranked iPaaS on G2 for multiple quarters and named a Leader in both B2B/EDI and API Management. Celigo is a leading intelligent automation platform that puts the power of automation in the hands of every team, unifying workflows from the predictable to the fully agentic in a single platform. Here you'll experience Remote-first culture, built on trust, collaboration, and transparency A high-growth, inclusive work environment where innovation thrives and ideas are implemented Lightspeed learning opportunities to keep you at the leading edge of your field Exceptional coworkers who challenge and inspire you daily Competitive compensation and benefits, including: Three weeks of vacation (starting year one) Wellness days and holidays to recharge Parental leave and a generous benefits package Monthly tech stipend Recognition and career development opportunities Diversity, Equity, Inclusion, and Accessibility As a company, one of the values we hold most dear is fostering a safe, collaborative environment to bring out the best in us, so we created our Taking a Stand Initiative. Our TAS initiative is a volunteer committee open to all Celigans, with representation from underrepresented voices within our company. We believe, unequivocally, that everyone deserves to be in a place where they feel welcome as they are. Learn more about Taking a Stand. Celigo is proud to be an equal-opportunity workplace. We are committed to equal employment opportunities regardless of race, color, ancestry, national origin, religion, creed, age, disability, sex, gender, sexual orientation, gender identity, gender expression, medical condition, genetic information, marital status, military and veteran status, or any other characteristic protected by applicable law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
09/23/2026
Full time
Integration meets Innovation At Celigo, we believe integration should empower - not exhaust - innovation. As a modern Integration and Automation Platform (iPaaS), we're on a mission to simplify how companies integrate, automate, and optimize processes. Powered by game-changing technology like runtime AI and prebuilt, mission-critical integrations, Celigo is redefining how businesses connect their world. Celigo is building the operating system for business automation - an integration platform that helps thousands of companies connect their applications, automate workflows, and unlock the power of AI-driven agents. We're looking for a Senior Director of Product Management to own strategy and execution across some of the most consequential product lines in our portfolio: the core platform, our AI product suite, API management, and data ingestion. This is a role where your strategic fingerprints will be visible across the business - from revenue contribution and customer retention to how product management itself is practiced in an AI-first world. About the Team Celigo's product organization is built on deep collaboration between Product Management, UX Design and Research, and Engineering - co-owning outcomes from problem definition through delivery. Our leadership team runs on a charter built around dynamic domain ownership, evidence-based strategy, and AI-augmented velocity, meaning we use AI not just in our products but to make our own teams faster and smarter. You'll work alongside a Sr Director of UX, a Director of PM covering other parts of the portfolio, a Director of Product Operations, and Engineering leadership. The culture is direct, craft-oriented, and allergic to performative alignment. We debate hard behind closed doors and present a united front to our teams. The Opportunity You'll lead a team of experienced product managers covering the core platform, AI (Ora, Agent Builder, MCP Server, Guardrails), API management (including an OEM partnership), and data ingestion (including an OEM partnership). The portfolio is broad, strategically important, and directly tied to Celigo's competitive positioning in the iPaaS market. The team is capable and in place, and we're continuing to deepen strategic autonomy across the PM org - strengthening the muscle for PMs to define problems, make decisions, and own outcomes with increasing independence. You'll carry that work forward while also sitting at the center of Celigo's AI transformation, both shipping AI products that deliver real customer outcomes and evolving how product development works in an AI-first environment. What would you do if hired? Own product strategy for Core Platform, AI, API Management, and Data Ingestion - developing multi-quarter roadmaps tied to revenue, retention, and competitive positioning. Continue deepening strategic autonomy across the PM org - extend decision-making authority and vision ownership to senior PMs and strengthen the structures that sustain independent operation. Drive AI product-market fit - ensure Celigo's AI capabilities translate into measurable customer success with autonomous agents and AI-assisted integrations. Lead the AI transformation of PM practice - bring a point of view on how AI reshapes the PM role and the product development lifecycle, then operationalize it. Manage and develop a distributed team - set clear expectations, build trust across time zones, and raise the bar on talent. Represent Celigo externally - support strategic sales, speak at events, and contribute to analyst relations (Gartner, Forrester) to strengthen market position. Who are we looking for? Skills & Abilities Strong external communication skills - sales support, conference speaking, analyst engagement History of developing leaders internally - coaching senior ICs into people leaders and managers into directors Education & Experience More than 15 years of progressive product management experience in technical B2B SaaS with complex, customer-facing products Demonstrated Sr Director-level scope - multi-product-line strategy, business outcomes ownership, and organizational change leadership Expert partnership with UX across research, design, and content, driving measurable customer and business outcomes through co-ownership Hands-on experience shipping AI-native or AI-augmented products (not just AI-adjacent) Track record managing distributed teams, including teams based in India Experience in mid-scale companies ( 750 people); comfort operating with less infrastructure than a mega-corp Preferred Experience Experience with integration platforms, API management, or data pipeline products Familiarity with iPaaS market dynamics and competitive landscape (Gartner MQ, Forrester Wave) Experience managing OEM partnerships or embedded technology relationships A formed perspective (backed by experience) on how AI is transforming the PDLC and the PM role How We Work Product Managers at Celigo are expected to be grounded in customer insight, fluent in data, and accountable for outcomes - not just delivery. We use AI as a force multiplier across the product development lifecycle, and we expect leaders to model that. Our craft culture values evidence over opinion, direct feedback over diplomatic silence, and strategic clarity over activity volume. Celigo reasonably expects to pay a base salary between $210,000 and $230,000 per year for this position. Actual starting base pay will be determined by skills, experience, geographic location, and other non-discriminatory factors permitted by law. Total compensation may also include variable incentives, benefits, or other perks as outlined in any formal employment offer made. Why Celigo We believe excellence comes from each of us - and that conviction shapes how we build products, develop people, and compete. Celigo is a place where asking "How can it be better?" isn't a slogan; it's how we operate every day. We invest in people with real career paths, direct coaching, and a high bar that respects your craft. And we win when our customers win - every product decision traces back to measurable customer outcomes. If you want a role where strategy is real, autonomy is earned and expected, and AI isn't a buzzword but a daily practice - we'd like to talk. Celigo is proud to be A 2025 Gartner Customers' Choice for iPaaS. The only vendor to receive this award. Celigo is a Visionary in the Gartner Magic Quadrant for iPaaS for the second consecutive year Celigo is ranked iPaaS on G2 for multiple quarters and named a Leader in both B2B/EDI and API Management. Celigo is a leading intelligent automation platform that puts the power of automation in the hands of every team, unifying workflows from the predictable to the fully agentic in a single platform. Here you'll experience Remote-first culture, built on trust, collaboration, and transparency A high-growth, inclusive work environment where innovation thrives and ideas are implemented Lightspeed learning opportunities to keep you at the leading edge of your field Exceptional coworkers who challenge and inspire you daily Competitive compensation and benefits, including: Three weeks of vacation (starting year one) Wellness days and holidays to recharge Parental leave and a generous benefits package Monthly tech stipend Recognition and career development opportunities Diversity, Equity, Inclusion, and Accessibility As a company, one of the values we hold most dear is fostering a safe, collaborative environment to bring out the best in us, so we created our Taking a Stand Initiative. Our TAS initiative is a volunteer committee open to all Celigans, with representation from underrepresented voices within our company. We believe, unequivocally, that everyone deserves to be in a place where they feel welcome as they are. Learn more about Taking a Stand. Celigo is proud to be an equal-opportunity workplace. We are committed to equal employment opportunities regardless of race, color, ancestry, national origin, religion, creed, age, disability, sex, gender, sexual orientation, gender identity, gender expression, medical condition, genetic information, marital status, military and veteran status, or any other characteristic protected by applicable law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. Overview The Platform team owns the backend behind everything Speechify ships: the public TTS API, payments, subscriptions, auth, consumption tracking, and analytics - serving over 50 million users across iOS, Android, Mac, Chrome, and web. These are systems where correctness compounds. Subscription state has to stay consistent across five clients and two app-store billing systems that each go quiet at the worst moment. Consumption metering has to be exact enough to bill on and cheap enough to run at our request volume. The public TTS API has external customers with their own products depending on our latency and uptime. None of this degrades gracefully - it is either right, or someone gets charged twice. The job is to make your own job smaller. Every system you own here should need less of you a year from now than it did the day you took it, and the reward for that is a larger one. That is the entire growth path on this team - there is no separate ladder, and no ceiling except the one you stop raising. We are a flat organization: people become leaders here by taking scope and being right about it, fast. What Yo u' ll Do Design, build, and own the APIs behind payments, subscriptions, auth, consumption tracking, and our public TTS API Take on services you didn't write and make them faster, cheaper, and harder to break Establish that a change is correct before it ships, and leave behind the checks that keep it correct after you've moved on Automate the parts of your role that shouldn't need a person, then go take on what that freed you up for Turn work you've done once into work the whole team can repeat Design B2B and enterprise integrations for customers building on top of us Work with product, mobile, and web to keep backend architecture ahead of where the product is going An Ideal Candidate Should Have Proven backend experience in TS/Node (required) Direct experience with GCP; working knowledge of AWS, Azure, or another cloud A habit of giving away work you used to own, and something to show for the room it created A daily working setup with AI agents you can describe in detail - what runs unattended, what you review, and where you've decided it doesn't get to act alone The instinct to check a result against the system itself - logs, database state, the actual request - rather than against a summary of it Judgment about what not to build, and the ability to say plainly why you dropped it A preference for being corrected over being right Preferred: Docker and containerized deployments Preferred: deploying high-availability applications on Kubernetes Interview process Several technical interviews plus a take-home assessment on a real codebase. We aim to finish within a week. The assessment runs in two stages: you'll submit, get real feedback from an engineer on this team, and have time to act on it. Use the tools you use every day. You'll be asked to walk through your reasoning, so bring it. What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio - a rapidly evolving tech domain The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
09/23/2026
Full time
The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. Overview The Platform team owns the backend behind everything Speechify ships: the public TTS API, payments, subscriptions, auth, consumption tracking, and analytics - serving over 50 million users across iOS, Android, Mac, Chrome, and web. These are systems where correctness compounds. Subscription state has to stay consistent across five clients and two app-store billing systems that each go quiet at the worst moment. Consumption metering has to be exact enough to bill on and cheap enough to run at our request volume. The public TTS API has external customers with their own products depending on our latency and uptime. None of this degrades gracefully - it is either right, or someone gets charged twice. The job is to make your own job smaller. Every system you own here should need less of you a year from now than it did the day you took it, and the reward for that is a larger one. That is the entire growth path on this team - there is no separate ladder, and no ceiling except the one you stop raising. We are a flat organization: people become leaders here by taking scope and being right about it, fast. What Yo u' ll Do Design, build, and own the APIs behind payments, subscriptions, auth, consumption tracking, and our public TTS API Take on services you didn't write and make them faster, cheaper, and harder to break Establish that a change is correct before it ships, and leave behind the checks that keep it correct after you've moved on Automate the parts of your role that shouldn't need a person, then go take on what that freed you up for Turn work you've done once into work the whole team can repeat Design B2B and enterprise integrations for customers building on top of us Work with product, mobile, and web to keep backend architecture ahead of where the product is going An Ideal Candidate Should Have Proven backend experience in TS/Node (required) Direct experience with GCP; working knowledge of AWS, Azure, or another cloud A habit of giving away work you used to own, and something to show for the room it created A daily working setup with AI agents you can describe in detail - what runs unattended, what you review, and where you've decided it doesn't get to act alone The instinct to check a result against the system itself - logs, database state, the actual request - rather than against a summary of it Judgment about what not to build, and the ability to say plainly why you dropped it A preference for being corrected over being right Preferred: Docker and containerized deployments Preferred: deploying high-availability applications on Kubernetes Interview process Several technical interviews plus a take-home assessment on a real codebase. We aim to finish within a week. The assessment runs in two stages: you'll submit, get real feedback from an engineer on this team, and have time to act on it. Use the tools you use every day. You'll be asked to walk through your reasoning, so bring it. What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio - a rapidly evolving tech domain The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. Overview The Platform team owns the backend behind everything Speechify ships: the public TTS API, payments, subscriptions, auth, consumption tracking, and analytics - serving over 50 million users across iOS, Android, Mac, Chrome, and web. These are systems where correctness compounds. Subscription state has to stay consistent across five clients and two app-store billing systems that each go quiet at the worst moment. Consumption metering has to be exact enough to bill on and cheap enough to run at our request volume. The public TTS API has external customers with their own products depending on our latency and uptime. None of this degrades gracefully - it is either right, or someone gets charged twice. The job is to make your own job smaller. Every system you own here should need less of you a year from now than it did the day you took it, and the reward for that is a larger one. That is the entire growth path on this team - there is no separate ladder, and no ceiling except the one you stop raising. We are a flat organization: people become leaders here by taking scope and being right about it, fast. What Yo u' ll Do Design, build, and own the APIs behind payments, subscriptions, auth, consumption tracking, and our public TTS API Take on services you didn't write and make them faster, cheaper, and harder to break Establish that a change is correct before it ships, and leave behind the checks that keep it correct after you've moved on Automate the parts of your role that shouldn't need a person, then go take on what that freed you up for Turn work you've done once into work the whole team can repeat Design B2B and enterprise integrations for customers building on top of us Work with product, mobile, and web to keep backend architecture ahead of where the product is going An Ideal Candidate Should Have Proven backend experience in TS/Node (required) Direct experience with GCP; working knowledge of AWS, Azure, or another cloud A habit of giving away work you used to own, and something to show for the room it created A daily working setup with AI agents you can describe in detail - what runs unattended, what you review, and where you've decided it doesn't get to act alone The instinct to check a result against the system itself - logs, database state, the actual request - rather than against a summary of it Judgment about what not to build, and the ability to say plainly why you dropped it A preference for being corrected over being right Preferred: Docker and containerized deployments Preferred: deploying high-availability applications on Kubernetes Interview process Several technical interviews plus a take-home assessment on a real codebase. We aim to finish within a week. The assessment runs in two stages: you'll submit, get real feedback from an engineer on this team, and have time to act on it. Use the tools you use every day. You'll be asked to walk through your reasoning, so bring it. What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio - a rapidly evolving tech domain The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
09/23/2026
Full time
The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. Overview The Platform team owns the backend behind everything Speechify ships: the public TTS API, payments, subscriptions, auth, consumption tracking, and analytics - serving over 50 million users across iOS, Android, Mac, Chrome, and web. These are systems where correctness compounds. Subscription state has to stay consistent across five clients and two app-store billing systems that each go quiet at the worst moment. Consumption metering has to be exact enough to bill on and cheap enough to run at our request volume. The public TTS API has external customers with their own products depending on our latency and uptime. None of this degrades gracefully - it is either right, or someone gets charged twice. The job is to make your own job smaller. Every system you own here should need less of you a year from now than it did the day you took it, and the reward for that is a larger one. That is the entire growth path on this team - there is no separate ladder, and no ceiling except the one you stop raising. We are a flat organization: people become leaders here by taking scope and being right about it, fast. What Yo u' ll Do Design, build, and own the APIs behind payments, subscriptions, auth, consumption tracking, and our public TTS API Take on services you didn't write and make them faster, cheaper, and harder to break Establish that a change is correct before it ships, and leave behind the checks that keep it correct after you've moved on Automate the parts of your role that shouldn't need a person, then go take on what that freed you up for Turn work you've done once into work the whole team can repeat Design B2B and enterprise integrations for customers building on top of us Work with product, mobile, and web to keep backend architecture ahead of where the product is going An Ideal Candidate Should Have Proven backend experience in TS/Node (required) Direct experience with GCP; working knowledge of AWS, Azure, or another cloud A habit of giving away work you used to own, and something to show for the room it created A daily working setup with AI agents you can describe in detail - what runs unattended, what you review, and where you've decided it doesn't get to act alone The instinct to check a result against the system itself - logs, database state, the actual request - rather than against a summary of it Judgment about what not to build, and the ability to say plainly why you dropped it A preference for being corrected over being right Preferred: Docker and containerized deployments Preferred: deploying high-availability applications on Kubernetes Interview process Several technical interviews plus a take-home assessment on a real codebase. We aim to finish within a week. The assessment runs in two stages: you'll submit, get real feedback from an engineer on this team, and have time to act on it. Use the tools you use every day. You'll be asked to walk through your reasoning, so bring it. What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio - a rapidly evolving tech domain The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. Overview The Platform team owns the backend behind everything Speechify ships: the public TTS API, payments, subscriptions, auth, consumption tracking, and analytics - serving over 50 million users across iOS, Android, Mac, Chrome, and web. These are systems where correctness compounds. Subscription state has to stay consistent across five clients and two app-store billing systems that each go quiet at the worst moment. Consumption metering has to be exact enough to bill on and cheap enough to run at our request volume. The public TTS API has external customers with their own products depending on our latency and uptime. None of this degrades gracefully - it is either right, or someone gets charged twice. The job is to make your own job smaller. Every system you own here should need less of you a year from now than it did the day you took it, and the reward for that is a larger one. That is the entire growth path on this team - there is no separate ladder, and no ceiling except the one you stop raising. We are a flat organization: people become leaders here by taking scope and being right about it, fast. What Yo u' ll Do Design, build, and own the APIs behind payments, subscriptions, auth, consumption tracking, and our public TTS API Take on services you didn't write and make them faster, cheaper, and harder to break Establish that a change is correct before it ships, and leave behind the checks that keep it correct after you've moved on Automate the parts of your role that shouldn't need a person, then go take on what that freed you up for Turn work you've done once into work the whole team can repeat Design B2B and enterprise integrations for customers building on top of us Work with product, mobile, and web to keep backend architecture ahead of where the product is going An Ideal Candidate Should Have Proven backend experience in TS/Node (required) Direct experience with GCP; working knowledge of AWS, Azure, or another cloud A habit of giving away work you used to own, and something to show for the room it created A daily working setup with AI agents you can describe in detail - what runs unattended, what you review, and where you've decided it doesn't get to act alone The instinct to check a result against the system itself - logs, database state, the actual request - rather than against a summary of it Judgment about what not to build, and the ability to say plainly why you dropped it A preference for being corrected over being right Preferred: Docker and containerized deployments Preferred: deploying high-availability applications on Kubernetes Interview process Several technical interviews plus a take-home assessment on a real codebase. We aim to finish within a week. The assessment runs in two stages: you'll submit, get real feedback from an engineer on this team, and have time to act on it. Use the tools you use every day. You'll be asked to walk through your reasoning, so bring it. What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio - a rapidly evolving tech domain The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
09/23/2026
Full time
The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. Overview The Platform team owns the backend behind everything Speechify ships: the public TTS API, payments, subscriptions, auth, consumption tracking, and analytics - serving over 50 million users across iOS, Android, Mac, Chrome, and web. These are systems where correctness compounds. Subscription state has to stay consistent across five clients and two app-store billing systems that each go quiet at the worst moment. Consumption metering has to be exact enough to bill on and cheap enough to run at our request volume. The public TTS API has external customers with their own products depending on our latency and uptime. None of this degrades gracefully - it is either right, or someone gets charged twice. The job is to make your own job smaller. Every system you own here should need less of you a year from now than it did the day you took it, and the reward for that is a larger one. That is the entire growth path on this team - there is no separate ladder, and no ceiling except the one you stop raising. We are a flat organization: people become leaders here by taking scope and being right about it, fast. What Yo u' ll Do Design, build, and own the APIs behind payments, subscriptions, auth, consumption tracking, and our public TTS API Take on services you didn't write and make them faster, cheaper, and harder to break Establish that a change is correct before it ships, and leave behind the checks that keep it correct after you've moved on Automate the parts of your role that shouldn't need a person, then go take on what that freed you up for Turn work you've done once into work the whole team can repeat Design B2B and enterprise integrations for customers building on top of us Work with product, mobile, and web to keep backend architecture ahead of where the product is going An Ideal Candidate Should Have Proven backend experience in TS/Node (required) Direct experience with GCP; working knowledge of AWS, Azure, or another cloud A habit of giving away work you used to own, and something to show for the room it created A daily working setup with AI agents you can describe in detail - what runs unattended, what you review, and where you've decided it doesn't get to act alone The instinct to check a result against the system itself - logs, database state, the actual request - rather than against a summary of it Judgment about what not to build, and the ability to say plainly why you dropped it A preference for being corrected over being right Preferred: Docker and containerized deployments Preferred: deploying high-availability applications on Kubernetes Interview process Several technical interviews plus a take-home assessment on a real codebase. We aim to finish within a week. The assessment runs in two stages: you'll submit, get real feedback from an engineer on this team, and have time to act on it. Use the tools you use every day. You'll be asked to walk through your reasoning, so bring it. What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio - a rapidly evolving tech domain The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. Overview The Platform team owns the backend behind everything Speechify ships: the public TTS API, payments, subscriptions, auth, consumption tracking, and analytics - serving over 50 million users across iOS, Android, Mac, Chrome, and web. These are systems where correctness compounds. Subscription state has to stay consistent across five clients and two app-store billing systems that each go quiet at the worst moment. Consumption metering has to be exact enough to bill on and cheap enough to run at our request volume. The public TTS API has external customers with their own products depending on our latency and uptime. None of this degrades gracefully - it is either right, or someone gets charged twice. The job is to make your own job smaller. Every system you own here should need less of you a year from now than it did the day you took it, and the reward for that is a larger one. That is the entire growth path on this team - there is no separate ladder, and no ceiling except the one you stop raising. We are a flat organization: people become leaders here by taking scope and being right about it, fast. What Yo u' ll Do Design, build, and own the APIs behind payments, subscriptions, auth, consumption tracking, and our public TTS API Take on services you didn't write and make them faster, cheaper, and harder to break Establish that a change is correct before it ships, and leave behind the checks that keep it correct after you've moved on Automate the parts of your role that shouldn't need a person, then go take on what that freed you up for Turn work you've done once into work the whole team can repeat Design B2B and enterprise integrations for customers building on top of us Work with product, mobile, and web to keep backend architecture ahead of where the product is going An Ideal Candidate Should Have Proven backend experience in TS/Node (required) Direct experience with GCP; working knowledge of AWS, Azure, or another cloud A habit of giving away work you used to own, and something to show for the room it created A daily working setup with AI agents you can describe in detail - what runs unattended, what you review, and where you've decided it doesn't get to act alone The instinct to check a result against the system itself - logs, database state, the actual request - rather than against a summary of it Judgment about what not to build, and the ability to say plainly why you dropped it A preference for being corrected over being right Preferred: Docker and containerized deployments Preferred: deploying high-availability applications on Kubernetes Interview process Several technical interviews plus a take-home assessment on a real codebase. We aim to finish within a week. The assessment runs in two stages: you'll submit, get real feedback from an engineer on this team, and have time to act on it. Use the tools you use every day. You'll be asked to walk through your reasoning, so bring it. What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio - a rapidly evolving tech domain The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
09/23/2026
Full time
The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. Overview The Platform team owns the backend behind everything Speechify ships: the public TTS API, payments, subscriptions, auth, consumption tracking, and analytics - serving over 50 million users across iOS, Android, Mac, Chrome, and web. These are systems where correctness compounds. Subscription state has to stay consistent across five clients and two app-store billing systems that each go quiet at the worst moment. Consumption metering has to be exact enough to bill on and cheap enough to run at our request volume. The public TTS API has external customers with their own products depending on our latency and uptime. None of this degrades gracefully - it is either right, or someone gets charged twice. The job is to make your own job smaller. Every system you own here should need less of you a year from now than it did the day you took it, and the reward for that is a larger one. That is the entire growth path on this team - there is no separate ladder, and no ceiling except the one you stop raising. We are a flat organization: people become leaders here by taking scope and being right about it, fast. What Yo u' ll Do Design, build, and own the APIs behind payments, subscriptions, auth, consumption tracking, and our public TTS API Take on services you didn't write and make them faster, cheaper, and harder to break Establish that a change is correct before it ships, and leave behind the checks that keep it correct after you've moved on Automate the parts of your role that shouldn't need a person, then go take on what that freed you up for Turn work you've done once into work the whole team can repeat Design B2B and enterprise integrations for customers building on top of us Work with product, mobile, and web to keep backend architecture ahead of where the product is going An Ideal Candidate Should Have Proven backend experience in TS/Node (required) Direct experience with GCP; working knowledge of AWS, Azure, or another cloud A habit of giving away work you used to own, and something to show for the room it created A daily working setup with AI agents you can describe in detail - what runs unattended, what you review, and where you've decided it doesn't get to act alone The instinct to check a result against the system itself - logs, database state, the actual request - rather than against a summary of it Judgment about what not to build, and the ability to say plainly why you dropped it A preference for being corrected over being right Preferred: Docker and containerized deployments Preferred: deploying high-availability applications on Kubernetes Interview process Several technical interviews plus a take-home assessment on a real codebase. We aim to finish within a week. The assessment runs in two stages: you'll submit, get real feedback from an engineer on this team, and have time to act on it. Use the tools you use every day. You'll be asked to walk through your reasoning, so bring it. What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio - a rapidly evolving tech domain The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. Overview The Platform team owns the backend behind everything Speechify ships: the public TTS API, payments, subscriptions, auth, consumption tracking, and analytics - serving over 50 million users across iOS, Android, Mac, Chrome, and web. These are systems where correctness compounds. Subscription state has to stay consistent across five clients and two app-store billing systems that each go quiet at the worst moment. Consumption metering has to be exact enough to bill on and cheap enough to run at our request volume. The public TTS API has external customers with their own products depending on our latency and uptime. None of this degrades gracefully - it is either right, or someone gets charged twice. The job is to make your own job smaller. Every system you own here should need less of you a year from now than it did the day you took it, and the reward for that is a larger one. That is the entire growth path on this team - there is no separate ladder, and no ceiling except the one you stop raising. We are a flat organization: people become leaders here by taking scope and being right about it, fast. What Yo u' ll Do Design, build, and own the APIs behind payments, subscriptions, auth, consumption tracking, and our public TTS API Take on services you didn't write and make them faster, cheaper, and harder to break Establish that a change is correct before it ships, and leave behind the checks that keep it correct after you've moved on Automate the parts of your role that shouldn't need a person, then go take on what that freed you up for Turn work you've done once into work the whole team can repeat Design B2B and enterprise integrations for customers building on top of us Work with product, mobile, and web to keep backend architecture ahead of where the product is going An Ideal Candidate Should Have Proven backend experience in TS/Node (required) Direct experience with GCP; working knowledge of AWS, Azure, or another cloud A habit of giving away work you used to own, and something to show for the room it created A daily working setup with AI agents you can describe in detail - what runs unattended, what you review, and where you've decided it doesn't get to act alone The instinct to check a result against the system itself - logs, database state, the actual request - rather than against a summary of it Judgment about what not to build, and the ability to say plainly why you dropped it A preference for being corrected over being right Preferred: Docker and containerized deployments Preferred: deploying high-availability applications on Kubernetes Interview process Several technical interviews plus a take-home assessment on a real codebase. We aim to finish within a week. The assessment runs in two stages: you'll submit, get real feedback from an engineer on this team, and have time to act on it. Use the tools you use every day. You'll be asked to walk through your reasoning, so bring it. What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio - a rapidly evolving tech domain The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
09/23/2026
Full time
The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. Overview The Platform team owns the backend behind everything Speechify ships: the public TTS API, payments, subscriptions, auth, consumption tracking, and analytics - serving over 50 million users across iOS, Android, Mac, Chrome, and web. These are systems where correctness compounds. Subscription state has to stay consistent across five clients and two app-store billing systems that each go quiet at the worst moment. Consumption metering has to be exact enough to bill on and cheap enough to run at our request volume. The public TTS API has external customers with their own products depending on our latency and uptime. None of this degrades gracefully - it is either right, or someone gets charged twice. The job is to make your own job smaller. Every system you own here should need less of you a year from now than it did the day you took it, and the reward for that is a larger one. That is the entire growth path on this team - there is no separate ladder, and no ceiling except the one you stop raising. We are a flat organization: people become leaders here by taking scope and being right about it, fast. What Yo u' ll Do Design, build, and own the APIs behind payments, subscriptions, auth, consumption tracking, and our public TTS API Take on services you didn't write and make them faster, cheaper, and harder to break Establish that a change is correct before it ships, and leave behind the checks that keep it correct after you've moved on Automate the parts of your role that shouldn't need a person, then go take on what that freed you up for Turn work you've done once into work the whole team can repeat Design B2B and enterprise integrations for customers building on top of us Work with product, mobile, and web to keep backend architecture ahead of where the product is going An Ideal Candidate Should Have Proven backend experience in TS/Node (required) Direct experience with GCP; working knowledge of AWS, Azure, or another cloud A habit of giving away work you used to own, and something to show for the room it created A daily working setup with AI agents you can describe in detail - what runs unattended, what you review, and where you've decided it doesn't get to act alone The instinct to check a result against the system itself - logs, database state, the actual request - rather than against a summary of it Judgment about what not to build, and the ability to say plainly why you dropped it A preference for being corrected over being right Preferred: Docker and containerized deployments Preferred: deploying high-availability applications on Kubernetes Interview process Several technical interviews plus a take-home assessment on a real codebase. We aim to finish within a week. The assessment runs in two stages: you'll submit, get real feedback from an engineer on this team, and have time to act on it. Use the tools you use every day. You'll be asked to walk through your reasoning, so bring it. What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio - a rapidly evolving tech domain The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. Overview The Platform team owns the backend behind everything Speechify ships: the public TTS API, payments, subscriptions, auth, consumption tracking, and analytics - serving over 50 million users across iOS, Android, Mac, Chrome, and web. These are systems where correctness compounds. Subscription state has to stay consistent across five clients and two app-store billing systems that each go quiet at the worst moment. Consumption metering has to be exact enough to bill on and cheap enough to run at our request volume. The public TTS API has external customers with their own products depending on our latency and uptime. None of this degrades gracefully - it is either right, or someone gets charged twice. The job is to make your own job smaller. Every system you own here should need less of you a year from now than it did the day you took it, and the reward for that is a larger one. That is the entire growth path on this team - there is no separate ladder, and no ceiling except the one you stop raising. We are a flat organization: people become leaders here by taking scope and being right about it, fast. What Yo u' ll Do Design, build, and own the APIs behind payments, subscriptions, auth, consumption tracking, and our public TTS API Take on services you didn't write and make them faster, cheaper, and harder to break Establish that a change is correct before it ships, and leave behind the checks that keep it correct after you've moved on Automate the parts of your role that shouldn't need a person, then go take on what that freed you up for Turn work you've done once into work the whole team can repeat Design B2B and enterprise integrations for customers building on top of us Work with product, mobile, and web to keep backend architecture ahead of where the product is going An Ideal Candidate Should Have Proven backend experience in TS/Node (required) Direct experience with GCP; working knowledge of AWS, Azure, or another cloud A habit of giving away work you used to own, and something to show for the room it created A daily working setup with AI agents you can describe in detail - what runs unattended, what you review, and where you've decided it doesn't get to act alone The instinct to check a result against the system itself - logs, database state, the actual request - rather than against a summary of it Judgment about what not to build, and the ability to say plainly why you dropped it A preference for being corrected over being right Preferred: Docker and containerized deployments Preferred: deploying high-availability applications on Kubernetes Interview process Several technical interviews plus a take-home assessment on a real codebase. We aim to finish within a week. The assessment runs in two stages: you'll submit, get real feedback from an engineer on this team, and have time to act on it. Use the tools you use every day. You'll be asked to walk through your reasoning, so bring it. What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio - a rapidly evolving tech domain The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
09/23/2026
Full time
The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting - Speechify has no office. Overview The Platform team owns the backend behind everything Speechify ships: the public TTS API, payments, subscriptions, auth, consumption tracking, and analytics - serving over 50 million users across iOS, Android, Mac, Chrome, and web. These are systems where correctness compounds. Subscription state has to stay consistent across five clients and two app-store billing systems that each go quiet at the worst moment. Consumption metering has to be exact enough to bill on and cheap enough to run at our request volume. The public TTS API has external customers with their own products depending on our latency and uptime. None of this degrades gracefully - it is either right, or someone gets charged twice. The job is to make your own job smaller. Every system you own here should need less of you a year from now than it did the day you took it, and the reward for that is a larger one. That is the entire growth path on this team - there is no separate ladder, and no ceiling except the one you stop raising. We are a flat organization: people become leaders here by taking scope and being right about it, fast. What Yo u' ll Do Design, build, and own the APIs behind payments, subscriptions, auth, consumption tracking, and our public TTS API Take on services you didn't write and make them faster, cheaper, and harder to break Establish that a change is correct before it ships, and leave behind the checks that keep it correct after you've moved on Automate the parts of your role that shouldn't need a person, then go take on what that freed you up for Turn work you've done once into work the whole team can repeat Design B2B and enterprise integrations for customers building on top of us Work with product, mobile, and web to keep backend architecture ahead of where the product is going An Ideal Candidate Should Have Proven backend experience in TS/Node (required) Direct experience with GCP; working knowledge of AWS, Azure, or another cloud A habit of giving away work you used to own, and something to show for the room it created A daily working setup with AI agents you can describe in detail - what runs unattended, what you review, and where you've decided it doesn't get to act alone The instinct to check a result against the system itself - logs, database state, the actual request - rather than against a summary of it Judgment about what not to build, and the ability to say plainly why you dropped it A preference for being corrected over being right Preferred: Docker and containerized deployments Preferred: deploying high-availability applications on Kubernetes Interview process Several technical interviews plus a take-home assessment on a real codebase. We aim to finish within a week. The assessment runs in two stages: you'll submit, get real feedback from an engineer on this team, and have time to act on it. Use the tools you use every day. You'll be asked to walk through your reasoning, so bring it. What We Offer A dynamic environment where your contributions shape the company and its products A team that values innovation, intuition, and drive Autonomy, fostering focus and creativity The opportunity to have a significant impact in a revolutionary industry Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more An active role at the intersection of artificial intelligence and audio - a rapidly evolving tech domain The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience Think you're a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
