Amazon Development Center U.S., Inc.
Seattle, Washington
In this role, you will own one or more production services and get in on the ground floor of new projects bringing Generative AI to developers worldwide. You will be responsible for revenue, adoption, and the end-to-end product lifecycle of your services. Using your passion for technology and solving customer problems, you will define product strategy, drive execution, and ship offerings that customers love. We are particularly interested in candidates with depth in one or more of the following areas: AI security and safety, responsible AI, or open-source foundation models. As a Senior Technical Product Manager (External Services), you will be the subject matter expert for your area of focus within AWS Compute GenAI services. You will work closely with applied scientists, engineering teams, and go-to-market partners to translate complex technical capabilities into products that are simple for customers to adopt. You will define the roadmap, write the narratives, make the tradeoff calls, and own the results. You will also be part of the broader product leadership community at AWS, contributing to business planning, long-term technical strategy, resource prioritization, and hiring. This community works directly with senior management to set direction and ensure we deliver at the pace our customers expect. A successful candidate will bring: - Proven experience launching technical products and building business around them - Strong business acumen with the ability to own a P&L and drive revenue outcomes - Deep curiosity about generative AI, foundation models, and the developer ecosystem - Comfort operating in ambiguity within a fast-moving organization - The ability to earn trust across engineering, science, and business teams - Desire to have industry-wide impact on how AI is built, deployed, and governed Key job responsibilities Lead Product Definition - Own and drive the customer working backwards strategy, tenets, long-term goals and working backwards documents (press release, FAQ) including customer and market feedback, competitive analysis and business metrics to inform direction. Define Product Vision - Including all aspects to future roadmap, investment, innovation and experimentation. Execution of Product Planning and Development - Including customer goals and business requirements for product release, ensuring implementation is aligned with product goals and requirements, and ownership of product positioning. Lead Product Launch - Own the GTM plan to deliver results that ensure the customer and business goals are met in operational launch plans. Lead Operations - Including monitoring and response to customer feedback, continuous improvement and business growth Lead interaction with Technical Team - Including helping the technical team make tradeoffs based on customer requirements, QA/testing of the product. Business reporting - Track revenue and adoption on a daily basis. Own writing business reports on a weekly and monthly basis and review with leadership. BASIC QUALIFICATIONS - 5+ years of technical product management with internet business experience - 5+ years of working as a Technical Product Manager experience - 3+ years of technical (software development, network development, IT, other related) experience - 7+ years of full product life cycle experience - 5+ years of P&L management and pricing experience - 5+ years of creating written docs for development of new products experience - 5+ years of enterprise security product experience - 5+ years of product management in the cloud computing technology space experience - Bachelor's degree in computer science, engineering, math, finance, or economics - Experience in taking a product from conception & definition phase through engineering design and taking it to market - Experience delivering large-scale SaaS, PaaS or LaaS products where you are responsible for the full product lifecycle, from concept through GTM (go to market) PREFERRED QUALIFICATIONS - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience working within teams delivering software products and features using agile methodologies Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 152 900.00 USD annually
09/23/2026
Full time
In this role, you will own one or more production services and get in on the ground floor of new projects bringing Generative AI to developers worldwide. You will be responsible for revenue, adoption, and the end-to-end product lifecycle of your services. Using your passion for technology and solving customer problems, you will define product strategy, drive execution, and ship offerings that customers love. We are particularly interested in candidates with depth in one or more of the following areas: AI security and safety, responsible AI, or open-source foundation models. As a Senior Technical Product Manager (External Services), you will be the subject matter expert for your area of focus within AWS Compute GenAI services. You will work closely with applied scientists, engineering teams, and go-to-market partners to translate complex technical capabilities into products that are simple for customers to adopt. You will define the roadmap, write the narratives, make the tradeoff calls, and own the results. You will also be part of the broader product leadership community at AWS, contributing to business planning, long-term technical strategy, resource prioritization, and hiring. This community works directly with senior management to set direction and ensure we deliver at the pace our customers expect. A successful candidate will bring: - Proven experience launching technical products and building business around them - Strong business acumen with the ability to own a P&L and drive revenue outcomes - Deep curiosity about generative AI, foundation models, and the developer ecosystem - Comfort operating in ambiguity within a fast-moving organization - The ability to earn trust across engineering, science, and business teams - Desire to have industry-wide impact on how AI is built, deployed, and governed Key job responsibilities Lead Product Definition - Own and drive the customer working backwards strategy, tenets, long-term goals and working backwards documents (press release, FAQ) including customer and market feedback, competitive analysis and business metrics to inform direction. Define Product Vision - Including all aspects to future roadmap, investment, innovation and experimentation. Execution of Product Planning and Development - Including customer goals and business requirements for product release, ensuring implementation is aligned with product goals and requirements, and ownership of product positioning. Lead Product Launch - Own the GTM plan to deliver results that ensure the customer and business goals are met in operational launch plans. Lead Operations - Including monitoring and response to customer feedback, continuous improvement and business growth Lead interaction with Technical Team - Including helping the technical team make tradeoffs based on customer requirements, QA/testing of the product. Business reporting - Track revenue and adoption on a daily basis. Own writing business reports on a weekly and monthly basis and review with leadership. BASIC QUALIFICATIONS - 5+ years of technical product management with internet business experience - 5+ years of working as a Technical Product Manager experience - 3+ years of technical (software development, network development, IT, other related) experience - 7+ years of full product life cycle experience - 5+ years of P&L management and pricing experience - 5+ years of creating written docs for development of new products experience - 5+ years of enterprise security product experience - 5+ years of product management in the cloud computing technology space experience - Bachelor's degree in computer science, engineering, math, finance, or economics - Experience in taking a product from conception & definition phase through engineering design and taking it to market - Experience delivering large-scale SaaS, PaaS or LaaS products where you are responsible for the full product lifecycle, from concept through GTM (go to market) PREFERRED QUALIFICATIONS - Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations - Experience working within teams delivering software products and features using agile methodologies Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, WA, Seattle - 152 900.00 USD annually
Location: San Antonio Farinon Park, Dallas - 1201 Elm St At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity We are offering you a demanding role. You will use the most advanced Quality models to implement the newest delivery excellence solutions. This position includes possibility to interact within international environment and work with the most recognizable and influential players in Delivery Excellence space. Your key responsibilities Responsible for designing, developing, implementing, and supporting enterprise API solutions using Apigee, ensuring secure, scalable, and high-performing API ecosystems. Accountable for API lifecycle management including API design, development, security, deployment, monitoring, versioning, and governance. Assess, design, build, test, deploy, and document API integrations between enterprise applications, cloud platforms, third-party vendors, and partner systems. Design and implement reusable API proxies, shared flows, security policies, and common integration components. Must be comfortable working in Agile methodology, driving technical discussions, gathering requirements from multiple stakeholders, and preparing technical solution specifications. Develop API management solutions including traffic management, authentication, authorization, rate limiting, caching, and threat protection. Identify root causes of production issues and provide technical solutions for performance optimization and operational stability. Forecast technical risks, dependencies, and mitigation plans and communicate them proactively with architects and delivery managers. Ensure API governance standards, security compliance, and enterprise integration best practices are followed across projects. Contribute to organization assets, accelerators, frameworks, reusable components, and process improvements. Deliver Proof of Concepts (PoCs), conduct code reviews, and mentor junior developers. Implement DevOps and CI/CD practices for API development, testing, deployment, and monitoring. Support integration testing, performance testing, security testing, and user acceptance testing activities. Collaborate with business, security, infrastructure, and application teams to deliver scalable API-led connectivity solutions. Key skills: Experience in API Management and Integration projects and hands-on experience in Apigee development. Must have implementation experience using Apigee in at least 2 enterprise-scale projects. Strong experience with Apigee Edge and/or Apigee X. Experience designing and implementing RESTful APIs and API-first architectures. Strong hands-on experience with API Proxy development, Shared Flows, Flow Hooks, API Products, Developers, Apps, and Monetization concepts. Experience implementing API security standards including OAuth 2.0, OpenID Connect, JWT, SAML, API Keys, mTLS, and SSL/TLS. Experience with API Gateway policies such as Spike Arrest, Quota, Caching, Threat Protection, Traffic Management, Message Transformation, and Logging. Strong knowledge of JavaScript and policy-based API development within Apigee. Experience integrating enterprise applications, ERP systems, CRM applications, SaaS platforms, and cloud-native services. Experience with REST, SOAP, JSON, XML, OpenAPI/Swagger specifications, Microservices, and Event-Driven Architecture. Hands-on experience troubleshooting API performance, latency, scalability, and security issues. Experience with logging and monitoring tools such as Splunk, ELK, Dynatrace, Grafana, Cloud Monitoring, or equivalent platforms. Knowledge of CI/CD tools including Jenkins, GitHub, GitLab, Azure DevOps, Maven, and automated deployment pipelines. Experience working with Kubernetes, Docker, and cloud platforms such as Google Cloud Platform (preferred), AWS, or Azure. Understanding of API Governance, API Analytics, Developer Portals, and API Lifecycle Management. Multi-domain expertise and experience with other integration platforms is an added advantage. Strong written and verbal communication skills. Apigee API Engineer Certification or related Google Cloud certifications are preferred. Should be capable of mentoring team members and handling customer interactions independently. Skills and attributes for success: Strong communication skills and ability to collaborate with business delivery teams. Analytical thinking. Strong team-player and self-started attitude. Ability to create quality process documentation. Well organized, attentive to details attitude. To qualify for the role, you must have: College degree in Computer Science, Engineering, Information Technology, or related field. Minimum 3 years of experience in API development, integration, and API management projects. Strong understanding of API Security, API Governance, and Enterprise Integration Patterns. Experience handling production support, incident management, and root cause analysis. Ability to manage technical risks and customer escalations. Ability to interact effectively across business, technical, and leadership teams. Experience working in Agile Scrum and DevOps environments. Additionally, good to have: Experience with other API Management platforms such as IBM API Connect (APIC) and DataPower will be an added advantage. Experience with event streaming platforms such as Kafka or Pub/Sub. Knowledge of project management tools like JIRA, Azure DevOps, and Confluence. Exposure to DevOps automation, Infrastructure as Code (Terraform), and cloud-native architectures. Knowledge of SDLC, Waterfall, Agile, SAFe Agile, and Scrum methodologies. Experience with API monetization and partner onboarding solutions. Understanding of enterprise architecture frameworks and digital transformation programs. Ideally, you'll also have: Ability to define processes for teams. Experience in project audits and reviews. Ability to analyse risks and metrics of projects. What we look for: A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 250+ professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY ServiceNow practices globally with leading businesses across a range of industries What working at EY offers At EY, we're dedicated to helping our clients, from start-ups to Fortune 500 companies - and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that's right for you About EY As a global leader in assurance, tax, transaction and advisory services, we're using the finance products, expertise and systems we've developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we'll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now What we offer you At EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job is: New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices - $80,300 to $149,100 Bay Area California offices - $83,700 to $155,300 All other offices locations in the US, including Sacramento - $67,000 to $136,800 Individual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage . click apply for full job details
09/23/2026
Full time
Location: San Antonio Farinon Park, Dallas - 1201 Elm St At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. The opportunity We are offering you a demanding role. You will use the most advanced Quality models to implement the newest delivery excellence solutions. This position includes possibility to interact within international environment and work with the most recognizable and influential players in Delivery Excellence space. Your key responsibilities Responsible for designing, developing, implementing, and supporting enterprise API solutions using Apigee, ensuring secure, scalable, and high-performing API ecosystems. Accountable for API lifecycle management including API design, development, security, deployment, monitoring, versioning, and governance. Assess, design, build, test, deploy, and document API integrations between enterprise applications, cloud platforms, third-party vendors, and partner systems. Design and implement reusable API proxies, shared flows, security policies, and common integration components. Must be comfortable working in Agile methodology, driving technical discussions, gathering requirements from multiple stakeholders, and preparing technical solution specifications. Develop API management solutions including traffic management, authentication, authorization, rate limiting, caching, and threat protection. Identify root causes of production issues and provide technical solutions for performance optimization and operational stability. Forecast technical risks, dependencies, and mitigation plans and communicate them proactively with architects and delivery managers. Ensure API governance standards, security compliance, and enterprise integration best practices are followed across projects. Contribute to organization assets, accelerators, frameworks, reusable components, and process improvements. Deliver Proof of Concepts (PoCs), conduct code reviews, and mentor junior developers. Implement DevOps and CI/CD practices for API development, testing, deployment, and monitoring. Support integration testing, performance testing, security testing, and user acceptance testing activities. Collaborate with business, security, infrastructure, and application teams to deliver scalable API-led connectivity solutions. Key skills: Experience in API Management and Integration projects and hands-on experience in Apigee development. Must have implementation experience using Apigee in at least 2 enterprise-scale projects. Strong experience with Apigee Edge and/or Apigee X. Experience designing and implementing RESTful APIs and API-first architectures. Strong hands-on experience with API Proxy development, Shared Flows, Flow Hooks, API Products, Developers, Apps, and Monetization concepts. Experience implementing API security standards including OAuth 2.0, OpenID Connect, JWT, SAML, API Keys, mTLS, and SSL/TLS. Experience with API Gateway policies such as Spike Arrest, Quota, Caching, Threat Protection, Traffic Management, Message Transformation, and Logging. Strong knowledge of JavaScript and policy-based API development within Apigee. Experience integrating enterprise applications, ERP systems, CRM applications, SaaS platforms, and cloud-native services. Experience with REST, SOAP, JSON, XML, OpenAPI/Swagger specifications, Microservices, and Event-Driven Architecture. Hands-on experience troubleshooting API performance, latency, scalability, and security issues. Experience with logging and monitoring tools such as Splunk, ELK, Dynatrace, Grafana, Cloud Monitoring, or equivalent platforms. Knowledge of CI/CD tools including Jenkins, GitHub, GitLab, Azure DevOps, Maven, and automated deployment pipelines. Experience working with Kubernetes, Docker, and cloud platforms such as Google Cloud Platform (preferred), AWS, or Azure. Understanding of API Governance, API Analytics, Developer Portals, and API Lifecycle Management. Multi-domain expertise and experience with other integration platforms is an added advantage. Strong written and verbal communication skills. Apigee API Engineer Certification or related Google Cloud certifications are preferred. Should be capable of mentoring team members and handling customer interactions independently. Skills and attributes for success: Strong communication skills and ability to collaborate with business delivery teams. Analytical thinking. Strong team-player and self-started attitude. Ability to create quality process documentation. Well organized, attentive to details attitude. To qualify for the role, you must have: College degree in Computer Science, Engineering, Information Technology, or related field. Minimum 3 years of experience in API development, integration, and API management projects. Strong understanding of API Security, API Governance, and Enterprise Integration Patterns. Experience handling production support, incident management, and root cause analysis. Ability to manage technical risks and customer escalations. Ability to interact effectively across business, technical, and leadership teams. Experience working in Agile Scrum and DevOps environments. Additionally, good to have: Experience with other API Management platforms such as IBM API Connect (APIC) and DataPower will be an added advantage. Experience with event streaming platforms such as Kafka or Pub/Sub. Knowledge of project management tools like JIRA, Azure DevOps, and Confluence. Exposure to DevOps automation, Infrastructure as Code (Terraform), and cloud-native architectures. Knowledge of SDLC, Waterfall, Agile, SAFe Agile, and Scrum methodologies. Experience with API monetization and partner onboarding solutions. Understanding of enterprise architecture frameworks and digital transformation programs. Ideally, you'll also have: Ability to define processes for teams. Experience in project audits and reviews. Ability to analyse risks and metrics of projects. What we look for: A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 250+ professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY ServiceNow practices globally with leading businesses across a range of industries What working at EY offers At EY, we're dedicated to helping our clients, from start-ups to Fortune 500 companies - and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that's right for you About EY As a global leader in assurance, tax, transaction and advisory services, we're using the finance products, expertise and systems we've developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we'll make our ambition to be the best employer by 2020 a reality. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible. Join us in building a better working world. Apply now What we offer you At EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job is: New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices - $80,300 to $149,100 Bay Area California offices - $83,700 to $155,300 All other offices locations in the US, including Sacramento - $67,000 to $136,800 Individual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage . click apply for full job details
The Global Program Controls organization provides governance, reporting, controls processes, cost management support, and portfolio visibility to help Oracle Cloud Infrastructure deliver global data center programs with greater consistency, transparency, and execution discipline. We are seeking a highly experienced individual contributor to help transform complex operational and technical information into accurate, decision-ready insights for senior executives. This role is designed for someone who is relentless about data integrity, intellectually curious, highly responsive, and comfortable operating in a complex, fast-moving, technical environment. The successful candidate will be able to move fluidly between detailed operational data and CEO-level communication-digging into the underlying facts, identifying inconsistencies, resolving ambiguity, and distilling the results into clear, concise, and credible executive reporting. This is not a traditional data analyst, project manager, or communications role. It combines elements of all three. The ideal candidate will bring strong analytical judgment, executive communication skills, technical aptitude, and a delivery-oriented mindset. Prior data center experience is not required. More important is a genuine interest in learning technical subject matter and the ability to become conversant in areas such as data center operations, low-voltage infrastructure, rack and compute deployment, hardware testing, and server turn-up activities. Key Responsibilities Data Integrity and Analytical Rigor Establish confidence in the accuracy, consistency, completeness, and traceability of critical business and operational data. Investigate discrepancies across systems, reports, teams, and data sources, and drive issues through resolution. Ask probing questions, challenge unsupported assumptions, and ensure that reported information can withstand executive scrutiny. Develop practical processes and controls that improve data quality and reporting reliability over time. Identify gaps in available information and work across teams to establish a clear, defensible source of truth. Balance speed with precision, particularly during time-sensitive executive requests and operational escalations. Executive Reporting and Communication Translate highly technical, tactical, or operational information into clear and compelling narratives for the CEO and other senior executives. Produce executive reports, briefings, presentations, summaries, and decision-support materials. Distill large volumes of information into the few insights, risks, decisions, and actions that matter most. Tailor the depth, language, and format of communications to the intended executive audience. Ensure that executive materials are accurate, concise, logically structured, and supported by verifiable data. Anticipate likely executive questions and prepare the supporting analysis needed to answer them. Business and Technical Learning Develop a deep understanding of the company's business model, operations, technology, customers, systems, and key performance drivers. Become comfortable with technical concepts related to data center operations, low-voltage work, rack and compute deployment, hardware validation and testing, server installation, and server turn-up. Learn unfamiliar technical and operational subject matter quickly, even without prior domain experience. Engage confidently with engineers, operators, vendors, and subject-matter experts to understand technical processes, terminology, dependencies, and risks. Ask thoughtful questions and continue learning until able to accurately explain technical topics to both operational and executive audiences. Build strong working relationships with subject-matter experts and learn enough to challenge, clarify, and synthesize their input. Connect information across functions to identify broader implications, dependencies, risks, and opportunities. Approach technical subject matter with curiosity, humility, and genuine enthusiasm rather than hesitation or avoidance. Program Execution and Problem Solving Bring a project manager's discipline to ambiguous, cross-functional work. Define problems, organize workstreams, clarify owners, establish milestones, and drive deliverables to completion. Coordinate across technical, operational, finance, strategy, and leadership teams to obtain required inputs and resolve blockers. Step into urgent or unstructured situations, create order quickly, and drive toward a practical solution. Manage multiple high-priority requests while maintaining accuracy, responsiveness, and sound judgment. Follow through persistently until commitments are completed and issues are resolved. Executive and Operational Support Serve as a trusted, high-leverage partner to senior leadership on critical analyses, executive deliverables, and time-sensitive business issues. Independently take ownership of complex requests with limited initial direction. Help diagnose and resolve urgent business or operational "fire drills." Exercise discretion when handling sensitive, confidential, or executive-level information. Provide flexibility during periods of elevated business activity, including occasional support outside standard working hours when urgent circumstances require it. Responsibilities Candidate Profile The ideal candidate is a senior, hands-on operator who combines intellectual curiosity with an exceptional standard for accuracy. This person is comfortable going deep into the details without losing sight of the larger business narrative. They are not satisfied with numbers simply because they appear in a system or report. They want to understand where the data came from, how it was calculated, whether it is complete, and whether it tells the full story. At the same time, they understand that analysis creates value only when it leads to clarity, decisions, and action. They are energized-not intimidated-by technical complexity and unfamiliar subject matter. They do not need to arrive with deep expertise in data center infrastructure, low-voltage systems, rack and compute deployment, testing, or server turn-up. They do need to enjoy learning how these areas work, be willing to engage deeply with technical experts, and develop enough fluency to identify risks, ask credible questions, and communicate clearly about the work. Required Qualifications Approximately 10-15 years of relevant experience in business operations, strategy and operations, analytics, executive reporting, program management, management consulting, finance, corporate strategy, or a related field. Demonstrated success translating complex technical or operational information into executive-level reports and presentations. Exceptional written communication skills, including the ability to draft concise, polished language suitable for a CEO or board-level audience. Strong analytical judgment and a demonstrated commitment to data accuracy and integrity. Experience investigating inconsistent or incomplete data and coordinating across teams to resolve underlying issues. Proven ability to lead complex, cross-functional initiatives as a senior individual contributor. Strong project and program management capabilities, including planning, prioritization, dependency management, and follow-through. Ability to learn unfamiliar businesses, technologies, infrastructure, and operating models quickly. Demonstrated comfort engaging with detailed technical information and working closely with engineering or operations teams. Comfort operating in an environment with ambiguity, changing priorities, and urgent requests. High degree of ownership, responsiveness, discretion, and professional judgment. This is an onsite position in Nashville, TN. Preferred Qualifications Experience in management consulting, corporate strategy, finance, operations, transformation, technical program management, or an executive office. Experience preparing materials for C-suite executives, boards of directors, investors, or other senior stakeholders. Familiarity with business intelligence, reporting, data governance, operational metrics, or enterprise systems. Experience working in a technically complex, infrastructure-intensive, or operationally demanding environment. Exposure to data center operations, physical infrastructure, low-voltage systems, hardware deployment, testing, commissioning, or related technical environments. Evidence of succeeding across industries or learning a new industry quickly. Advanced proficiency with presentation, spreadsheet, reporting, and data-visualization tools. What Success Looks Like Within the first year, the successful candidate will: Become a trusted source of accurate, well-supported information for senior leadership. Develop a strong working understanding of the company's technical and operational environment. Build practical fluency in data center operations, infrastructure deployment, testing, and server turn-up processes. Improve the clarity, consistency, and credibility of executive reporting. Reduce time spent reconciling conflicting data and resolving recurring reporting issues click apply for full job details
09/23/2026
Full time
The Global Program Controls organization provides governance, reporting, controls processes, cost management support, and portfolio visibility to help Oracle Cloud Infrastructure deliver global data center programs with greater consistency, transparency, and execution discipline. We are seeking a highly experienced individual contributor to help transform complex operational and technical information into accurate, decision-ready insights for senior executives. This role is designed for someone who is relentless about data integrity, intellectually curious, highly responsive, and comfortable operating in a complex, fast-moving, technical environment. The successful candidate will be able to move fluidly between detailed operational data and CEO-level communication-digging into the underlying facts, identifying inconsistencies, resolving ambiguity, and distilling the results into clear, concise, and credible executive reporting. This is not a traditional data analyst, project manager, or communications role. It combines elements of all three. The ideal candidate will bring strong analytical judgment, executive communication skills, technical aptitude, and a delivery-oriented mindset. Prior data center experience is not required. More important is a genuine interest in learning technical subject matter and the ability to become conversant in areas such as data center operations, low-voltage infrastructure, rack and compute deployment, hardware testing, and server turn-up activities. Key Responsibilities Data Integrity and Analytical Rigor Establish confidence in the accuracy, consistency, completeness, and traceability of critical business and operational data. Investigate discrepancies across systems, reports, teams, and data sources, and drive issues through resolution. Ask probing questions, challenge unsupported assumptions, and ensure that reported information can withstand executive scrutiny. Develop practical processes and controls that improve data quality and reporting reliability over time. Identify gaps in available information and work across teams to establish a clear, defensible source of truth. Balance speed with precision, particularly during time-sensitive executive requests and operational escalations. Executive Reporting and Communication Translate highly technical, tactical, or operational information into clear and compelling narratives for the CEO and other senior executives. Produce executive reports, briefings, presentations, summaries, and decision-support materials. Distill large volumes of information into the few insights, risks, decisions, and actions that matter most. Tailor the depth, language, and format of communications to the intended executive audience. Ensure that executive materials are accurate, concise, logically structured, and supported by verifiable data. Anticipate likely executive questions and prepare the supporting analysis needed to answer them. Business and Technical Learning Develop a deep understanding of the company's business model, operations, technology, customers, systems, and key performance drivers. Become comfortable with technical concepts related to data center operations, low-voltage work, rack and compute deployment, hardware validation and testing, server installation, and server turn-up. Learn unfamiliar technical and operational subject matter quickly, even without prior domain experience. Engage confidently with engineers, operators, vendors, and subject-matter experts to understand technical processes, terminology, dependencies, and risks. Ask thoughtful questions and continue learning until able to accurately explain technical topics to both operational and executive audiences. Build strong working relationships with subject-matter experts and learn enough to challenge, clarify, and synthesize their input. Connect information across functions to identify broader implications, dependencies, risks, and opportunities. Approach technical subject matter with curiosity, humility, and genuine enthusiasm rather than hesitation or avoidance. Program Execution and Problem Solving Bring a project manager's discipline to ambiguous, cross-functional work. Define problems, organize workstreams, clarify owners, establish milestones, and drive deliverables to completion. Coordinate across technical, operational, finance, strategy, and leadership teams to obtain required inputs and resolve blockers. Step into urgent or unstructured situations, create order quickly, and drive toward a practical solution. Manage multiple high-priority requests while maintaining accuracy, responsiveness, and sound judgment. Follow through persistently until commitments are completed and issues are resolved. Executive and Operational Support Serve as a trusted, high-leverage partner to senior leadership on critical analyses, executive deliverables, and time-sensitive business issues. Independently take ownership of complex requests with limited initial direction. Help diagnose and resolve urgent business or operational "fire drills." Exercise discretion when handling sensitive, confidential, or executive-level information. Provide flexibility during periods of elevated business activity, including occasional support outside standard working hours when urgent circumstances require it. Responsibilities Candidate Profile The ideal candidate is a senior, hands-on operator who combines intellectual curiosity with an exceptional standard for accuracy. This person is comfortable going deep into the details without losing sight of the larger business narrative. They are not satisfied with numbers simply because they appear in a system or report. They want to understand where the data came from, how it was calculated, whether it is complete, and whether it tells the full story. At the same time, they understand that analysis creates value only when it leads to clarity, decisions, and action. They are energized-not intimidated-by technical complexity and unfamiliar subject matter. They do not need to arrive with deep expertise in data center infrastructure, low-voltage systems, rack and compute deployment, testing, or server turn-up. They do need to enjoy learning how these areas work, be willing to engage deeply with technical experts, and develop enough fluency to identify risks, ask credible questions, and communicate clearly about the work. Required Qualifications Approximately 10-15 years of relevant experience in business operations, strategy and operations, analytics, executive reporting, program management, management consulting, finance, corporate strategy, or a related field. Demonstrated success translating complex technical or operational information into executive-level reports and presentations. Exceptional written communication skills, including the ability to draft concise, polished language suitable for a CEO or board-level audience. Strong analytical judgment and a demonstrated commitment to data accuracy and integrity. Experience investigating inconsistent or incomplete data and coordinating across teams to resolve underlying issues. Proven ability to lead complex, cross-functional initiatives as a senior individual contributor. Strong project and program management capabilities, including planning, prioritization, dependency management, and follow-through. Ability to learn unfamiliar businesses, technologies, infrastructure, and operating models quickly. Demonstrated comfort engaging with detailed technical information and working closely with engineering or operations teams. Comfort operating in an environment with ambiguity, changing priorities, and urgent requests. High degree of ownership, responsiveness, discretion, and professional judgment. This is an onsite position in Nashville, TN. Preferred Qualifications Experience in management consulting, corporate strategy, finance, operations, transformation, technical program management, or an executive office. Experience preparing materials for C-suite executives, boards of directors, investors, or other senior stakeholders. Familiarity with business intelligence, reporting, data governance, operational metrics, or enterprise systems. Experience working in a technically complex, infrastructure-intensive, or operationally demanding environment. Exposure to data center operations, physical infrastructure, low-voltage systems, hardware deployment, testing, commissioning, or related technical environments. Evidence of succeeding across industries or learning a new industry quickly. Advanced proficiency with presentation, spreadsheet, reporting, and data-visualization tools. What Success Looks Like Within the first year, the successful candidate will: Become a trusted source of accurate, well-supported information for senior leadership. Develop a strong working understanding of the company's technical and operational environment. Build practical fluency in data center operations, infrastructure deployment, testing, and server turn-up processes. Improve the clarity, consistency, and credibility of executive reporting. Reduce time spent reconciling conflicting data and resolving recurring reporting issues click apply for full job details
Reporting into the Chief Financial Officer, the Strategy, Operations & Research team is a nimble group that partners with senior leaders across Match Group and our portfolio businesses on their most important strategic priorities. The team shapes the company's long-term direction by bringing analytical rigor, strategic foresight, and clear operational guidance. We bridge high-level vision and day-to-day execution, ensuring the organization is aligned and moving effectively toward shared goals. As Strategic Analytics & Reporting Manager, you'll be the connective tissue between data and decision-making for the portfolio - pulling together information across brands and functions (product, marketing, finance, research) into one credible view of how the business is performing. Rather than going deep in a single data domain, you'll range across all of them: today it might be a cross-brand user-overlap analysis, tomorrow a competitive intelligence readout for the Board, and next week a same-day pull to answer the CFO's question. You should be as comfortable writing a SQL query as you are presenting the "so what" to an executive. Day-to-day work will include a mix of recurring reporting, ad-hoc analyses, and longer-term projects. This role will work across functions (research, product, finance, marketing, etc.) and across Business Units (Tinder, Hinge, E&E). You will report to the Senior Director, Strategy & Operations and work closely with peers across Strategy, Operations, and Consumer Research - as well as with specialized analytics teams elsewhere at Match Group - translating their outputs, and your own analysis, into portfolio-level insight for corporate leadership. As part of a corporate team supporting a portfolio of brands, you will engage with a wide range of senior stakeholders and adapt seamlessly to different business needs, work styles, and communication preferences. Know where you belong. Match Group is a leading provider of dating services across the globe. Our portfolio includes Tinder, Match, Hinge, PlentyOfFish, The League, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn't stop at our platforms - it's the foundation of every team we hire. When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL 3 days/week. How you'll make an impact: Executive reporting: Own recurring, cross-brand reporting - consolidating metrics like MAU, revenue, and payer penetration from multiple data sources into a consistent "state of the business" view for corporate and BU leadership. Competitive intelligence: Lead market-landscape and competitive intelligence reporting (e.g., Sensor Tower), size total addressable market, and flag emerging trends and competitive threats for executive and Board audiences. Cross-brand analytics: Analyze how users move across Match Group's brands - overlap, migration, and cannibalization - to inform portfolio strategy and resource-allocation decisions. Ad hoc executive support: Respond to requests from executives and the Board, quickly pulling and synthesizing data across functions into a clear point of view and recommendation. Continuous improvement: Simplify and automate the team's reporting and dashboarding so more time goes to analysis and less to manual upkeep. We could be a match if: You have 4+ years of professional experience in analytics, business intelligence, FP&A, or a related data-driven field. Product analytics backgrounds are a strong fit, but strong SQL skills and communication matter more to us than a specific pedigree. You have strong SQL skills (Databricks or Redshift preferred) and are comfortable combining data across multiple, imperfect sources rather than working within one clean system. You'd rather have broad fluency across marketing, product, finance, and research data than deep specialization in any single one of them. You are proficient in Excel (pivot tables, formulas, charts) and at least one BI/visualization tool (Quicksight, Tableau, Looker, or similar). Your written and verbal communication skills are excellent, and you have experience building executive-facing presentations - you can tell the story, not just show the numbers. You're comfortable with ambiguity, shifting priorities, and being pulled into whatever question the business needs answered that week. You are fluent with AI tools, and always looking for the next one that makes the work faster or sharper. Bonus: experience with competitive intelligence or market-sizing tools (e.g., Sensor Tower), or prior exposure to cross-brand/multi-product analytics. Bachelor's degree required; a quantitative or technical concentration is a plus but not required. Applicants will be required to complete a SQL skills assessment. $100,000 - $130,000 a year The compensation range listed above is representative of the base salary offered. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of Dallas, TX. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting. Why Match Group? Our mission is simple - to help people find love and happiness! We love our employees too and understand the importance of all life's milestones. Here are some of the benefits we are proud to offer: Mind & Body - Medical, mental health, and wellness benefits to support your overall health and well-being Financial Wellness - Competitive compensation, 100% employer match on 401k contributions up to 10% (cap at $10,000), as well as an employee stock purchase program to help you feel supported in your financial security Unplug - Generous PTO and 18 paid holidays so you can unplug Career - Annual training allowance for professional development and ERG membership opportunities and events so you feel connected and empowered in your work Family - Families come in all shapes and sizes so we offer 20 weeks of 100% paid parental leave, fertility, adoption, and child care resources, as well as pet insurance and discounts Company Gatherings - We host fun happy hours and company events where our employees get to know each other and build a sense of connection and belonging! We are proud to be an equal opportunity employer and we value the rich dynamics that diversity brings to our company. We do not discriminate on the basis of race, religion, color, creed, national origin, ancestry, disability, marital status, age, sexual orientation, sex (including pregnancy and sexual harassment), gender identity or expression, uniformed service or veteran status, genetic information, or any other legally protected characteristic. Period. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact . Note: We will only respond to inquiries regarding accommodations and if you have any questions about your job application, please reach out to your Talent Acquisition Partner directly.
09/23/2026
Full time
Reporting into the Chief Financial Officer, the Strategy, Operations & Research team is a nimble group that partners with senior leaders across Match Group and our portfolio businesses on their most important strategic priorities. The team shapes the company's long-term direction by bringing analytical rigor, strategic foresight, and clear operational guidance. We bridge high-level vision and day-to-day execution, ensuring the organization is aligned and moving effectively toward shared goals. As Strategic Analytics & Reporting Manager, you'll be the connective tissue between data and decision-making for the portfolio - pulling together information across brands and functions (product, marketing, finance, research) into one credible view of how the business is performing. Rather than going deep in a single data domain, you'll range across all of them: today it might be a cross-brand user-overlap analysis, tomorrow a competitive intelligence readout for the Board, and next week a same-day pull to answer the CFO's question. You should be as comfortable writing a SQL query as you are presenting the "so what" to an executive. Day-to-day work will include a mix of recurring reporting, ad-hoc analyses, and longer-term projects. This role will work across functions (research, product, finance, marketing, etc.) and across Business Units (Tinder, Hinge, E&E). You will report to the Senior Director, Strategy & Operations and work closely with peers across Strategy, Operations, and Consumer Research - as well as with specialized analytics teams elsewhere at Match Group - translating their outputs, and your own analysis, into portfolio-level insight for corporate leadership. As part of a corporate team supporting a portfolio of brands, you will engage with a wide range of senior stakeholders and adapt seamlessly to different business needs, work styles, and communication preferences. Know where you belong. Match Group is a leading provider of dating services across the globe. Our portfolio includes Tinder, Match, Hinge, PlentyOfFish, The League, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn't stop at our platforms - it's the foundation of every team we hire. When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL 3 days/week. How you'll make an impact: Executive reporting: Own recurring, cross-brand reporting - consolidating metrics like MAU, revenue, and payer penetration from multiple data sources into a consistent "state of the business" view for corporate and BU leadership. Competitive intelligence: Lead market-landscape and competitive intelligence reporting (e.g., Sensor Tower), size total addressable market, and flag emerging trends and competitive threats for executive and Board audiences. Cross-brand analytics: Analyze how users move across Match Group's brands - overlap, migration, and cannibalization - to inform portfolio strategy and resource-allocation decisions. Ad hoc executive support: Respond to requests from executives and the Board, quickly pulling and synthesizing data across functions into a clear point of view and recommendation. Continuous improvement: Simplify and automate the team's reporting and dashboarding so more time goes to analysis and less to manual upkeep. We could be a match if: You have 4+ years of professional experience in analytics, business intelligence, FP&A, or a related data-driven field. Product analytics backgrounds are a strong fit, but strong SQL skills and communication matter more to us than a specific pedigree. You have strong SQL skills (Databricks or Redshift preferred) and are comfortable combining data across multiple, imperfect sources rather than working within one clean system. You'd rather have broad fluency across marketing, product, finance, and research data than deep specialization in any single one of them. You are proficient in Excel (pivot tables, formulas, charts) and at least one BI/visualization tool (Quicksight, Tableau, Looker, or similar). Your written and verbal communication skills are excellent, and you have experience building executive-facing presentations - you can tell the story, not just show the numbers. You're comfortable with ambiguity, shifting priorities, and being pulled into whatever question the business needs answered that week. You are fluent with AI tools, and always looking for the next one that makes the work faster or sharper. Bonus: experience with competitive intelligence or market-sizing tools (e.g., Sensor Tower), or prior exposure to cross-brand/multi-product analytics. Bachelor's degree required; a quantitative or technical concentration is a plus but not required. Applicants will be required to complete a SQL skills assessment. $100,000 - $130,000 a year The compensation range listed above is representative of the base salary offered. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of Dallas, TX. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting. Why Match Group? Our mission is simple - to help people find love and happiness! We love our employees too and understand the importance of all life's milestones. Here are some of the benefits we are proud to offer: Mind & Body - Medical, mental health, and wellness benefits to support your overall health and well-being Financial Wellness - Competitive compensation, 100% employer match on 401k contributions up to 10% (cap at $10,000), as well as an employee stock purchase program to help you feel supported in your financial security Unplug - Generous PTO and 18 paid holidays so you can unplug Career - Annual training allowance for professional development and ERG membership opportunities and events so you feel connected and empowered in your work Family - Families come in all shapes and sizes so we offer 20 weeks of 100% paid parental leave, fertility, adoption, and child care resources, as well as pet insurance and discounts Company Gatherings - We host fun happy hours and company events where our employees get to know each other and build a sense of connection and belonging! We are proud to be an equal opportunity employer and we value the rich dynamics that diversity brings to our company. We do not discriminate on the basis of race, religion, color, creed, national origin, ancestry, disability, marital status, age, sexual orientation, sex (including pregnancy and sexual harassment), gender identity or expression, uniformed service or veteran status, genetic information, or any other legally protected characteristic. Period. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact . Note: We will only respond to inquiries regarding accommodations and if you have any questions about your job application, please reach out to your Talent Acquisition Partner directly.
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 Simulator Team at Waymo builds state-of-the-art simulations of realistic environments for testing, training, and validation of the Waymo Driver. Our team is a diverse, and collaborative group of machine learning (ML) engineers, software engineers, and ML research engineers. We develop industry-leading simulation solutions using advanced generative and reconstructive ML algorithms, to model the real world, encompassing realistic agents, roads, traffic systems, weather, and the full sensor suite (Camera, Lidar, Radar). To accelerate the fidelity, scalability, controllability, and richness of our simulations, we are pushing the frontiers of 3D world modeling. We leverage state-of-the-art ML technologies trained on large-scale datasets to create dynamic and semantically rich virtual worlds, directly impacting the development and validation of the Waymo Driver. In this role, you will report to a Senior Staff Engineering Manager. You will: Lead the design, development and deployment of cutting-edge 4D world models and generative systems for ultra-realistic and controllable sensor and semantics generation for simulation use cases at waymo. Architect and implement scalable and robust ML pipelines for training, evaluating, and deploying large-scale generative models into our simulation infrastructure, including techniques like model distillation and quantization. Build and scale production-ready video generation techniques (e.g., Diffusion, Flow Matching) to create dynamic and interactive simulation environments. Apply Vision Language Models (VLMs) to enhance the semantic understanding and controllability of our world simulation products. Partner with world class research teams across Waymo and Alphabet to leverage State-of-The-Art research in 4D world modeling and generative AI into robust, production-ready solutions. Mentor and provide technical guidance to other engineers on the team. You have: MS or PhD in Computer Science, Machine Learning, Robotics, or a related field. 5+ years of experience in ML engineering and applied Deep Learning, with a strong portfolio of shipped products or publication record. Proven experience in developing and training large-scale generative models for video generation (e.g., Diffusion models, Flow Matching) or Vision Language Models (VLMs) and their applications. Deep expertise in 3D World Modeling or 3D computer vision. Familiarity with 3D reconstruction and rendering techniques (e.g., 3D Gaussian Splatting). Strong programming skills in Python and experience with ML frameworks such as Jax/Flax, PyTorch or Tensorflow. We prefer: PhD and a strong track record of delivering impactful ML products in 3D generative models, world models, or video generation Experience in simulating sensor data (Camera, Lidar, Radar) and/or semantic scenes. Experience with autonomous systems, robotics, or autonomous vehicle simulation. Experience in training and optimizing large scale models on GPU/TPU clusters for efficient serving. Experience in C++ for production systems. 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 $213,000-$263,000 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 Simulator Team at Waymo builds state-of-the-art simulations of realistic environments for testing, training, and validation of the Waymo Driver. Our team is a diverse, and collaborative group of machine learning (ML) engineers, software engineers, and ML research engineers. We develop industry-leading simulation solutions using advanced generative and reconstructive ML algorithms, to model the real world, encompassing realistic agents, roads, traffic systems, weather, and the full sensor suite (Camera, Lidar, Radar). To accelerate the fidelity, scalability, controllability, and richness of our simulations, we are pushing the frontiers of 3D world modeling. We leverage state-of-the-art ML technologies trained on large-scale datasets to create dynamic and semantically rich virtual worlds, directly impacting the development and validation of the Waymo Driver. In this role, you will report to a Senior Staff Engineering Manager. You will: Lead the design, development and deployment of cutting-edge 4D world models and generative systems for ultra-realistic and controllable sensor and semantics generation for simulation use cases at waymo. Architect and implement scalable and robust ML pipelines for training, evaluating, and deploying large-scale generative models into our simulation infrastructure, including techniques like model distillation and quantization. Build and scale production-ready video generation techniques (e.g., Diffusion, Flow Matching) to create dynamic and interactive simulation environments. Apply Vision Language Models (VLMs) to enhance the semantic understanding and controllability of our world simulation products. Partner with world class research teams across Waymo and Alphabet to leverage State-of-The-Art research in 4D world modeling and generative AI into robust, production-ready solutions. Mentor and provide technical guidance to other engineers on the team. You have: MS or PhD in Computer Science, Machine Learning, Robotics, or a related field. 5+ years of experience in ML engineering and applied Deep Learning, with a strong portfolio of shipped products or publication record. Proven experience in developing and training large-scale generative models for video generation (e.g., Diffusion models, Flow Matching) or Vision Language Models (VLMs) and their applications. Deep expertise in 3D World Modeling or 3D computer vision. Familiarity with 3D reconstruction and rendering techniques (e.g., 3D Gaussian Splatting). Strong programming skills in Python and experience with ML frameworks such as Jax/Flax, PyTorch or Tensorflow. We prefer: PhD and a strong track record of delivering impactful ML products in 3D generative models, world models, or video generation Experience in simulating sensor data (Camera, Lidar, Radar) and/or semantic scenes. Experience with autonomous systems, robotics, or autonomous vehicle simulation. Experience in training and optimizing large scale models on GPU/TPU clusters for efficient serving. Experience in C++ for production systems. 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 $213,000-$263,000 USD
Reporting into the Chief Financial Officer, the Strategy, Operations & Research team is a nimble group that partners with senior leaders across Match Group and our portfolio businesses on their most important strategic priorities. The team shapes the company's long-term direction by bringing analytical rigor, strategic foresight, and clear operational guidance. We bridge high-level vision and day-to-day execution, ensuring the organization is aligned and moving effectively toward shared goals. As Strategic Analytics & Reporting Manager, you'll be the connective tissue between data and decision-making for the portfolio - pulling together information across brands and functions (product, marketing, finance, research) into one credible view of how the business is performing. Rather than going deep in a single data domain, you'll range across all of them: today it might be a cross-brand user-overlap analysis, tomorrow a competitive intelligence readout for the Board, and next week a same-day pull to answer the CFO's question. You should be as comfortable writing a SQL query as you are presenting the "so what" to an executive. Day-to-day work will include a mix of recurring reporting, ad-hoc analyses, and longer-term projects. This role will work across functions (research, product, finance, marketing, etc.) and across Business Units (Tinder, Hinge, E&E). You will report to the Senior Director, Strategy & Operations and work closely with peers across Strategy, Operations, and Consumer Research - as well as with specialized analytics teams elsewhere at Match Group - translating their outputs, and your own analysis, into portfolio-level insight for corporate leadership. As part of a corporate team supporting a portfolio of brands, you will engage with a wide range of senior stakeholders and adapt seamlessly to different business needs, work styles, and communication preferences. Know where you belong. Match Group is a leading provider of dating services across the globe. Our portfolio includes Tinder, Match, Hinge, PlentyOfFish, The League, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn't stop at our platforms - it's the foundation of every team we hire. When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL 3 days/week. How you'll make an impact: Executive reporting: Own recurring, cross-brand reporting - consolidating metrics like MAU, revenue, and payer penetration from multiple data sources into a consistent "state of the business" view for corporate and BU leadership. Competitive intelligence: Lead market-landscape and competitive intelligence reporting (e.g., Sensor Tower), size total addressable market, and flag emerging trends and competitive threats for executive and Board audiences. Cross-brand analytics: Analyze how users move across Match Group's brands - overlap, migration, and cannibalization - to inform portfolio strategy and resource-allocation decisions. Ad hoc executive support: Respond to requests from executives and the Board, quickly pulling and synthesizing data across functions into a clear point of view and recommendation. Continuous improvement: Simplify and automate the team's reporting and dashboarding so more time goes to analysis and less to manual upkeep. We could be a match if: You have 4+ years of professional experience in analytics, business intelligence, FP&A, or a related data-driven field. Product analytics backgrounds are a strong fit, but strong SQL skills and communication matter more to us than a specific pedigree. You have strong SQL skills (Databricks or Redshift preferred) and are comfortable combining data across multiple, imperfect sources rather than working within one clean system. You'd rather have broad fluency across marketing, product, finance, and research data than deep specialization in any single one of them. You are proficient in Excel (pivot tables, formulas, charts) and at least one BI/visualization tool (Quicksight, Tableau, Looker, or similar). Your written and verbal communication skills are excellent, and you have experience building executive-facing presentations - you can tell the story, not just show the numbers. You're comfortable with ambiguity, shifting priorities, and being pulled into whatever question the business needs answered that week. You are fluent with AI tools, and always looking for the next one that makes the work faster or sharper. Bonus: experience with competitive intelligence or market-sizing tools (e.g., Sensor Tower), or prior exposure to cross-brand/multi-product analytics. Bachelor's degree required; a quantitative or technical concentration is a plus but not required. Applicants will be required to complete a SQL skills assessment. $100,000 - $130,000 a year The compensation range listed above is representative of the base salary offered. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of Dallas, TX. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting. Why Match Group? Our mission is simple - to help people find love and happiness! We love our employees too and understand the importance of all life's milestones. Here are some of the benefits we are proud to offer: Mind & Body - Medical, mental health, and wellness benefits to support your overall health and well-being Financial Wellness - Competitive compensation, 100% employer match on 401k contributions up to 10% (cap at $10,000), as well as an employee stock purchase program to help you feel supported in your financial security Unplug - Generous PTO and 18 paid holidays so you can unplug Career - Annual training allowance for professional development and ERG membership opportunities and events so you feel connected and empowered in your work Family - Families come in all shapes and sizes so we offer 20 weeks of 100% paid parental leave, fertility, adoption, and child care resources, as well as pet insurance and discounts Company Gatherings - We host fun happy hours and company events where our employees get to know each other and build a sense of connection and belonging! We are proud to be an equal opportunity employer and we value the rich dynamics that diversity brings to our company. We do not discriminate on the basis of race, religion, color, creed, national origin, ancestry, disability, marital status, age, sexual orientation, sex (including pregnancy and sexual harassment), gender identity or expression, uniformed service or veteran status, genetic information, or any other legally protected characteristic. Period. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact . Note: We will only respond to inquiries regarding accommodations and if you have any questions about your job application, please reach out to your Talent Acquisition Partner directly.
09/23/2026
Full time
Reporting into the Chief Financial Officer, the Strategy, Operations & Research team is a nimble group that partners with senior leaders across Match Group and our portfolio businesses on their most important strategic priorities. The team shapes the company's long-term direction by bringing analytical rigor, strategic foresight, and clear operational guidance. We bridge high-level vision and day-to-day execution, ensuring the organization is aligned and moving effectively toward shared goals. As Strategic Analytics & Reporting Manager, you'll be the connective tissue between data and decision-making for the portfolio - pulling together information across brands and functions (product, marketing, finance, research) into one credible view of how the business is performing. Rather than going deep in a single data domain, you'll range across all of them: today it might be a cross-brand user-overlap analysis, tomorrow a competitive intelligence readout for the Board, and next week a same-day pull to answer the CFO's question. You should be as comfortable writing a SQL query as you are presenting the "so what" to an executive. Day-to-day work will include a mix of recurring reporting, ad-hoc analyses, and longer-term projects. This role will work across functions (research, product, finance, marketing, etc.) and across Business Units (Tinder, Hinge, E&E). You will report to the Senior Director, Strategy & Operations and work closely with peers across Strategy, Operations, and Consumer Research - as well as with specialized analytics teams elsewhere at Match Group - translating their outputs, and your own analysis, into portfolio-level insight for corporate leadership. As part of a corporate team supporting a portfolio of brands, you will engage with a wide range of senior stakeholders and adapt seamlessly to different business needs, work styles, and communication preferences. Know where you belong. Match Group is a leading provider of dating services across the globe. Our portfolio includes Tinder, Match, Hinge, PlentyOfFish, The League, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn't stop at our platforms - it's the foundation of every team we hire. When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL 3 days/week. How you'll make an impact: Executive reporting: Own recurring, cross-brand reporting - consolidating metrics like MAU, revenue, and payer penetration from multiple data sources into a consistent "state of the business" view for corporate and BU leadership. Competitive intelligence: Lead market-landscape and competitive intelligence reporting (e.g., Sensor Tower), size total addressable market, and flag emerging trends and competitive threats for executive and Board audiences. Cross-brand analytics: Analyze how users move across Match Group's brands - overlap, migration, and cannibalization - to inform portfolio strategy and resource-allocation decisions. Ad hoc executive support: Respond to requests from executives and the Board, quickly pulling and synthesizing data across functions into a clear point of view and recommendation. Continuous improvement: Simplify and automate the team's reporting and dashboarding so more time goes to analysis and less to manual upkeep. We could be a match if: You have 4+ years of professional experience in analytics, business intelligence, FP&A, or a related data-driven field. Product analytics backgrounds are a strong fit, but strong SQL skills and communication matter more to us than a specific pedigree. You have strong SQL skills (Databricks or Redshift preferred) and are comfortable combining data across multiple, imperfect sources rather than working within one clean system. You'd rather have broad fluency across marketing, product, finance, and research data than deep specialization in any single one of them. You are proficient in Excel (pivot tables, formulas, charts) and at least one BI/visualization tool (Quicksight, Tableau, Looker, or similar). Your written and verbal communication skills are excellent, and you have experience building executive-facing presentations - you can tell the story, not just show the numbers. You're comfortable with ambiguity, shifting priorities, and being pulled into whatever question the business needs answered that week. You are fluent with AI tools, and always looking for the next one that makes the work faster or sharper. Bonus: experience with competitive intelligence or market-sizing tools (e.g., Sensor Tower), or prior exposure to cross-brand/multi-product analytics. Bachelor's degree required; a quantitative or technical concentration is a plus but not required. Applicants will be required to complete a SQL skills assessment. $100,000 - $130,000 a year The compensation range listed above is representative of the base salary offered. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of Dallas, TX. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting. Why Match Group? Our mission is simple - to help people find love and happiness! We love our employees too and understand the importance of all life's milestones. Here are some of the benefits we are proud to offer: Mind & Body - Medical, mental health, and wellness benefits to support your overall health and well-being Financial Wellness - Competitive compensation, 100% employer match on 401k contributions up to 10% (cap at $10,000), as well as an employee stock purchase program to help you feel supported in your financial security Unplug - Generous PTO and 18 paid holidays so you can unplug Career - Annual training allowance for professional development and ERG membership opportunities and events so you feel connected and empowered in your work Family - Families come in all shapes and sizes so we offer 20 weeks of 100% paid parental leave, fertility, adoption, and child care resources, as well as pet insurance and discounts Company Gatherings - We host fun happy hours and company events where our employees get to know each other and build a sense of connection and belonging! We are proud to be an equal opportunity employer and we value the rich dynamics that diversity brings to our company. We do not discriminate on the basis of race, religion, color, creed, national origin, ancestry, disability, marital status, age, sexual orientation, sex (including pregnancy and sexual harassment), gender identity or expression, uniformed service or veteran status, genetic information, or any other legally protected characteristic. Period. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact . Note: We will only respond to inquiries regarding accommodations and if you have any questions about your job application, please reach out to your Talent Acquisition Partner directly.
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.
Reporting into the Chief Financial Officer, the Strategy, Operations & Research team is a nimble group that partners with senior leaders across Match Group and our portfolio businesses on their most important strategic priorities. The team shapes the company's long-term direction by bringing analytical rigor, strategic foresight, and clear operational guidance. We bridge high-level vision and day-to-day execution, ensuring the organization is aligned and moving effectively toward shared goals. As Strategic Analytics & Reporting Manager, you'll be the connective tissue between data and decision-making for the portfolio - pulling together information across brands and functions (product, marketing, finance, research) into one credible view of how the business is performing. Rather than going deep in a single data domain, you'll range across all of them: today it might be a cross-brand user-overlap analysis, tomorrow a competitive intelligence readout for the Board, and next week a same-day pull to answer the CFO's question. You should be as comfortable writing a SQL query as you are presenting the "so what" to an executive. Day-to-day work will include a mix of recurring reporting, ad-hoc analyses, and longer-term projects. This role will work across functions (research, product, finance, marketing, etc.) and across Business Units (Tinder, Hinge, E&E). You will report to the Senior Director, Strategy & Operations and work closely with peers across Strategy, Operations, and Consumer Research - as well as with specialized analytics teams elsewhere at Match Group - translating their outputs, and your own analysis, into portfolio-level insight for corporate leadership. As part of a corporate team supporting a portfolio of brands, you will engage with a wide range of senior stakeholders and adapt seamlessly to different business needs, work styles, and communication preferences. Know where you belong. Match Group is a leading provider of dating services across the globe. Our portfolio includes Tinder, Match, Hinge, PlentyOfFish, The League, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn't stop at our platforms - it's the foundation of every team we hire. When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL 3 days/week. How you'll make an impact: Executive reporting: Own recurring, cross-brand reporting - consolidating metrics like MAU, revenue, and payer penetration from multiple data sources into a consistent "state of the business" view for corporate and BU leadership. Competitive intelligence: Lead market-landscape and competitive intelligence reporting (e.g., Sensor Tower), size total addressable market, and flag emerging trends and competitive threats for executive and Board audiences. Cross-brand analytics: Analyze how users move across Match Group's brands - overlap, migration, and cannibalization - to inform portfolio strategy and resource-allocation decisions. Ad hoc executive support: Respond to requests from executives and the Board, quickly pulling and synthesizing data across functions into a clear point of view and recommendation. Continuous improvement: Simplify and automate the team's reporting and dashboarding so more time goes to analysis and less to manual upkeep. We could be a match if: You have 4+ years of professional experience in analytics, business intelligence, FP&A, or a related data-driven field. Product analytics backgrounds are a strong fit, but strong SQL skills and communication matter more to us than a specific pedigree. You have strong SQL skills (Databricks or Redshift preferred) and are comfortable combining data across multiple, imperfect sources rather than working within one clean system. You'd rather have broad fluency across marketing, product, finance, and research data than deep specialization in any single one of them. You are proficient in Excel (pivot tables, formulas, charts) and at least one BI/visualization tool (Quicksight, Tableau, Looker, or similar). Your written and verbal communication skills are excellent, and you have experience building executive-facing presentations - you can tell the story, not just show the numbers. You're comfortable with ambiguity, shifting priorities, and being pulled into whatever question the business needs answered that week. You are fluent with AI tools, and always looking for the next one that makes the work faster or sharper. Bonus: experience with competitive intelligence or market-sizing tools (e.g., Sensor Tower), or prior exposure to cross-brand/multi-product analytics. Bachelor's degree required; a quantitative or technical concentration is a plus but not required. Applicants will be required to complete a SQL skills assessment. $100,000 - $130,000 a year The compensation range listed above is representative of the base salary offered. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of Dallas, TX. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting. Why Match Group? Our mission is simple - to help people find love and happiness! We love our employees too and understand the importance of all life's milestones. Here are some of the benefits we are proud to offer: Mind & Body - Medical, mental health, and wellness benefits to support your overall health and well-being Financial Wellness - Competitive compensation, 100% employer match on 401k contributions up to 10% (cap at $10,000), as well as an employee stock purchase program to help you feel supported in your financial security Unplug - Generous PTO and 18 paid holidays so you can unplug Career - Annual training allowance for professional development and ERG membership opportunities and events so you feel connected and empowered in your work Family - Families come in all shapes and sizes so we offer 20 weeks of 100% paid parental leave, fertility, adoption, and child care resources, as well as pet insurance and discounts Company Gatherings - We host fun happy hours and company events where our employees get to know each other and build a sense of connection and belonging! We are proud to be an equal opportunity employer and we value the rich dynamics that diversity brings to our company. We do not discriminate on the basis of race, religion, color, creed, national origin, ancestry, disability, marital status, age, sexual orientation, sex (including pregnancy and sexual harassment), gender identity or expression, uniformed service or veteran status, genetic information, or any other legally protected characteristic. Period. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact . Note: We will only respond to inquiries regarding accommodations and if you have any questions about your job application, please reach out to your Talent Acquisition Partner directly.
09/23/2026
Full time
Reporting into the Chief Financial Officer, the Strategy, Operations & Research team is a nimble group that partners with senior leaders across Match Group and our portfolio businesses on their most important strategic priorities. The team shapes the company's long-term direction by bringing analytical rigor, strategic foresight, and clear operational guidance. We bridge high-level vision and day-to-day execution, ensuring the organization is aligned and moving effectively toward shared goals. As Strategic Analytics & Reporting Manager, you'll be the connective tissue between data and decision-making for the portfolio - pulling together information across brands and functions (product, marketing, finance, research) into one credible view of how the business is performing. Rather than going deep in a single data domain, you'll range across all of them: today it might be a cross-brand user-overlap analysis, tomorrow a competitive intelligence readout for the Board, and next week a same-day pull to answer the CFO's question. You should be as comfortable writing a SQL query as you are presenting the "so what" to an executive. Day-to-day work will include a mix of recurring reporting, ad-hoc analyses, and longer-term projects. This role will work across functions (research, product, finance, marketing, etc.) and across Business Units (Tinder, Hinge, E&E). You will report to the Senior Director, Strategy & Operations and work closely with peers across Strategy, Operations, and Consumer Research - as well as with specialized analytics teams elsewhere at Match Group - translating their outputs, and your own analysis, into portfolio-level insight for corporate leadership. As part of a corporate team supporting a portfolio of brands, you will engage with a wide range of senior stakeholders and adapt seamlessly to different business needs, work styles, and communication preferences. Know where you belong. Match Group is a leading provider of dating services across the globe. Our portfolio includes Tinder, Match, Hinge, PlentyOfFish, The League, and others, each designed to spark meaningful connections for singles worldwide. Creating a sense of belonging doesn't stop at our platforms - it's the foundation of every team we hire. When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL 3 days/week. How you'll make an impact: Executive reporting: Own recurring, cross-brand reporting - consolidating metrics like MAU, revenue, and payer penetration from multiple data sources into a consistent "state of the business" view for corporate and BU leadership. Competitive intelligence: Lead market-landscape and competitive intelligence reporting (e.g., Sensor Tower), size total addressable market, and flag emerging trends and competitive threats for executive and Board audiences. Cross-brand analytics: Analyze how users move across Match Group's brands - overlap, migration, and cannibalization - to inform portfolio strategy and resource-allocation decisions. Ad hoc executive support: Respond to requests from executives and the Board, quickly pulling and synthesizing data across functions into a clear point of view and recommendation. Continuous improvement: Simplify and automate the team's reporting and dashboarding so more time goes to analysis and less to manual upkeep. We could be a match if: You have 4+ years of professional experience in analytics, business intelligence, FP&A, or a related data-driven field. Product analytics backgrounds are a strong fit, but strong SQL skills and communication matter more to us than a specific pedigree. You have strong SQL skills (Databricks or Redshift preferred) and are comfortable combining data across multiple, imperfect sources rather than working within one clean system. You'd rather have broad fluency across marketing, product, finance, and research data than deep specialization in any single one of them. You are proficient in Excel (pivot tables, formulas, charts) and at least one BI/visualization tool (Quicksight, Tableau, Looker, or similar). Your written and verbal communication skills are excellent, and you have experience building executive-facing presentations - you can tell the story, not just show the numbers. You're comfortable with ambiguity, shifting priorities, and being pulled into whatever question the business needs answered that week. You are fluent with AI tools, and always looking for the next one that makes the work faster or sharper. Bonus: experience with competitive intelligence or market-sizing tools (e.g., Sensor Tower), or prior exposure to cross-brand/multi-product analytics. Bachelor's degree required; a quantitative or technical concentration is a plus but not required. Applicants will be required to complete a SQL skills assessment. $100,000 - $130,000 a year The compensation range listed above is representative of the base salary offered. Factors such as scope and responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, as well as market and business considerations may influence base pay offered. This salary range is reflective of Dallas, TX. This salary will be subject to a geographic adjustment (according to a specific city and state), if an authorization is granted to work outside of the location listed in this posting. Why Match Group? Our mission is simple - to help people find love and happiness! We love our employees too and understand the importance of all life's milestones. Here are some of the benefits we are proud to offer: Mind & Body - Medical, mental health, and wellness benefits to support your overall health and well-being Financial Wellness - Competitive compensation, 100% employer match on 401k contributions up to 10% (cap at $10,000), as well as an employee stock purchase program to help you feel supported in your financial security Unplug - Generous PTO and 18 paid holidays so you can unplug Career - Annual training allowance for professional development and ERG membership opportunities and events so you feel connected and empowered in your work Family - Families come in all shapes and sizes so we offer 20 weeks of 100% paid parental leave, fertility, adoption, and child care resources, as well as pet insurance and discounts Company Gatherings - We host fun happy hours and company events where our employees get to know each other and build a sense of connection and belonging! We are proud to be an equal opportunity employer and we value the rich dynamics that diversity brings to our company. We do not discriminate on the basis of race, religion, color, creed, national origin, ancestry, disability, marital status, age, sexual orientation, sex (including pregnancy and sexual harassment), gender identity or expression, uniformed service or veteran status, genetic information, or any other legally protected characteristic. Period. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact . Note: We will only respond to inquiries regarding accommodations and if you have any questions about your job application, please reach out to your Talent Acquisition Partner directly.
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 Simulator Team at Waymo builds state-of-the-art simulations of realistic environments for testing and training the Waymo Driver. Your team will be a diverse, and collaborative group of machine learning (ML) engineers, software engineers and data scientists. We develop industry-leading simulation solutions using advanced ML algorithms that measure and enhance the performance of the Waymo Driver. We achieve those goals by jointly modeling the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists), roads, traffic control systems, and weather conditions, and the full sensor suite including camera, Lidar and radars. To increase the fidelity, scalability and controllability of our simulations,we employ the latest ML technologies such as large language models, foundational world models, and reconstructive methods trained on large-scale datasets with both generative and reconstructive technologies, as well as traditional rendering approaches. In this hybrid role, you will report to a Senior Staff Engineering Manager. You will: Work closely with onboard and research engineers to scale simulation and enable critical Waymo milestones Support development, testing and evolution of mapping data in the simulator Improve / monitor the performance, scalability and the reliability of the simulator Design the long term architecture to fit the product to an increasing number of internal customers You have: Hands-on experience building a popular (internal- or external-facing) product. Experience on backend knowledge such as workflows, databases, SQL, production monitoring, etc. Strong in C++. We prefer: Experience with the release of software in a highly distributed heterogeneous execution environment Experience with systems programming (game engines, database, OS, distributed) Experience with ML Previous TL 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-$310,000 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 Simulator Team at Waymo builds state-of-the-art simulations of realistic environments for testing and training the Waymo Driver. Your team will be a diverse, and collaborative group of machine learning (ML) engineers, software engineers and data scientists. We develop industry-leading simulation solutions using advanced ML algorithms that measure and enhance the performance of the Waymo Driver. We achieve those goals by jointly modeling the real world, including realistic agents (vehicles, pedestrians, cyclists, motorcyclists), roads, traffic control systems, and weather conditions, and the full sensor suite including camera, Lidar and radars. To increase the fidelity, scalability and controllability of our simulations,we employ the latest ML technologies such as large language models, foundational world models, and reconstructive methods trained on large-scale datasets with both generative and reconstructive technologies, as well as traditional rendering approaches. In this hybrid role, you will report to a Senior Staff Engineering Manager. You will: Work closely with onboard and research engineers to scale simulation and enable critical Waymo milestones Support development, testing and evolution of mapping data in the simulator Improve / monitor the performance, scalability and the reliability of the simulator Design the long term architecture to fit the product to an increasing number of internal customers You have: Hands-on experience building a popular (internal- or external-facing) product. Experience on backend knowledge such as workflows, databases, SQL, production monitoring, etc. Strong in C++. We prefer: Experience with the release of software in a highly distributed heterogeneous execution environment Experience with systems programming (game engines, database, OS, distributed) Experience with ML Previous TL 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-$310,000 USD
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)
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
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. Onboard Software Performance team ensures that systems running on ADV (Autonomously Driven Vehicle) meet strict performance requirements such as producing necessary outputs within strict latency targets and using an appropriately allocated amount of compute resources (CPU/GPU/TPU/RAM etc) for each respective submodule. All of this needs to be done at scale with performance guarantees of many 9s of reliability while enabling high velocity of system evolution. In this hybrid role, you will report to a Senior Staff Engineer, Technical Lead Manager. You will: Develop ADV's modular architecture improvements and frameworks that maximize performance and compute utilization and ROI for driving quality Evolve our compute usage on the car and simulation to enable continued scaling where the system runs fast on the car and efficiently in our data center Collaborating with onboard teams to identify and improve compute performance bottlenecks across the stack to improve performance/driving quality Collaborating with hardware teams to codesign hardware/software and optimize the software for best performance on our hardware platform Ensuring our performance is strong at any driving complexity including as we scale to even more complex driving environments and encounter rarer events Ensuring state of the art reaction latency for collision avoidance via novel system/architecture designs and extremely fast nominal performance Developing necessary high scale performance evaluation, debugging and software change management processes Optimizing system resource usage to simulation at scale in Cloud datacenters: minimizing CPU utilization and latency, minimizing RAM consumption, intelligently determining which computations should happen on CPU, GPU, and TPU. You have: BS/MS in Comp Sci, EE, Robotics, Physics, Math, or related field (or equivalent experience) 6 years of software engineering experience on large scale/high complexity system (supported by hundreds of engineers) 2 years of software management experience with at least 4 years in infrastructure/systems/performance domain optimizing end to end system for high performance metrics 4 years of experience acting as technical lead in performance/software infrastructure domain 4 years of experience in C++ Define roadmap/portfolio of projects optimizing for end results overall across all aspects of the problem space Setup collaboration structures across team boundaries We prefer: Experience in robotics Experience in low level optimization techniques, frameworks (SIMD/CUDA) and ML performance/frameworks Experience in large scale evaluation techniques/data science and building performance metrics/tooling Experience in large scale software re-architecture projects 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 $238,000-$302,000 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. Onboard Software Performance team ensures that systems running on ADV (Autonomously Driven Vehicle) meet strict performance requirements such as producing necessary outputs within strict latency targets and using an appropriately allocated amount of compute resources (CPU/GPU/TPU/RAM etc) for each respective submodule. All of this needs to be done at scale with performance guarantees of many 9s of reliability while enabling high velocity of system evolution. In this hybrid role, you will report to a Senior Staff Engineer, Technical Lead Manager. You will: Develop ADV's modular architecture improvements and frameworks that maximize performance and compute utilization and ROI for driving quality Evolve our compute usage on the car and simulation to enable continued scaling where the system runs fast on the car and efficiently in our data center Collaborating with onboard teams to identify and improve compute performance bottlenecks across the stack to improve performance/driving quality Collaborating with hardware teams to codesign hardware/software and optimize the software for best performance on our hardware platform Ensuring our performance is strong at any driving complexity including as we scale to even more complex driving environments and encounter rarer events Ensuring state of the art reaction latency for collision avoidance via novel system/architecture designs and extremely fast nominal performance Developing necessary high scale performance evaluation, debugging and software change management processes Optimizing system resource usage to simulation at scale in Cloud datacenters: minimizing CPU utilization and latency, minimizing RAM consumption, intelligently determining which computations should happen on CPU, GPU, and TPU. You have: BS/MS in Comp Sci, EE, Robotics, Physics, Math, or related field (or equivalent experience) 6 years of software engineering experience on large scale/high complexity system (supported by hundreds of engineers) 2 years of software management experience with at least 4 years in infrastructure/systems/performance domain optimizing end to end system for high performance metrics 4 years of experience acting as technical lead in performance/software infrastructure domain 4 years of experience in C++ Define roadmap/portfolio of projects optimizing for end results overall across all aspects of the problem space Setup collaboration structures across team boundaries We prefer: Experience in robotics Experience in low level optimization techniques, frameworks (SIMD/CUDA) and ML performance/frameworks Experience in large scale evaluation techniques/data science and building performance metrics/tooling Experience in large scale software re-architecture projects 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 $238,000-$302,000 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. Waymo's commercial service is running in five cities, and the associated infrastructure is in an early stage and requires investment for Waymo to grow into a high scale, world-class service. We are building a team of engineers dedicated to further developing our Android Platform team. Our team works on the user interfaces used by customers to interact with our autonomous vehicles as well as provide entertainment and information while riding. This is a fullstack team, managing the bring up and maintenance of a complete automotive grade Android system. In this hybrid role, you will report to an Engineering Manager. You will: Evaluate SoC vendor development kits Develop update mechanism for Android OS and applications Work with vendors, HW team and other stakeholders to define requirements for next UX platform Bring up Android on new hardware Provide technical support for other teams working on our Android devices You have: BS/MS degree in Computer Science or equivalent experience 3+ years of software development experience Experience working with low-level Android/AOSP (building Android platform features, frameworks), not just developing apps on top of Android Worked with git, repo and gerrit We prefer: Brought up Android on new hardware, or customized a build of Android for a new hardware variant Experience with security aspects of Android, SELinux and key provisioning 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 commercial service is running in five cities, and the associated infrastructure is in an early stage and requires investment for Waymo to grow into a high scale, world-class service. We are building a team of engineers dedicated to further developing our Android Platform team. Our team works on the user interfaces used by customers to interact with our autonomous vehicles as well as provide entertainment and information while riding. This is a fullstack team, managing the bring up and maintenance of a complete automotive grade Android system. In this hybrid role, you will report to an Engineering Manager. You will: Evaluate SoC vendor development kits Develop update mechanism for Android OS and applications Work with vendors, HW team and other stakeholders to define requirements for next UX platform Bring up Android on new hardware Provide technical support for other teams working on our Android devices You have: BS/MS degree in Computer Science or equivalent experience 3+ years of software development experience Experience working with low-level Android/AOSP (building Android platform features, frameworks), not just developing apps on top of Android Worked with git, repo and gerrit We prefer: Brought up Android on new hardware, or customized a build of Android for a new hardware variant Experience with security aspects of Android, SELinux and key provisioning 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. Hardware Engineering is a diverse, and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're looking for curious and talented teammates to keep us moving in the right direction. The Embedded Simulation team enables Waymo to quickly and reliably scale the Waymo Driver across new vehicle & hardware platforms, and to accelerate development of our embedded and reliability software systems. We build both dedicated test properties for embedded and hardware use cases, and also incorporate our technology into full-system behavioral simulation. In this role, you will report to the Senior Director, R&D Software Engineering You will: Lead & manage team responsible for embedded HIL/SIL testing and simulation. Set strategy for expansion of test & sim infrastructure to support new products and Waymo's scale. Develop Waymo internal graph-based simulation framework in C++ and improve simulation realism by implementing models of a vehicle and environmental conditions. Combine past logged data with the output of the models running in a loop for a more representative simulation. Integrate SIL and HIL simulation with CI/CD pipelines. Ensure test & sim infrastructure is highly available and reliable. You have: Technical leadership of software teams. Strong knowledge of modern C++ Experience designing, implementing and maintaining production software systems Linux on advanced user level Familiarity in Electrical Engineering We prefer: People management experience Passion for HIL simulation Embedded programming experience Linux for real-time applications Knowledge of general-purpose and automotive network systems (Ethernet, CAN, etc.) Familiarity with the building blocks for datacenter monitoring systems (databases, dashboards, etc.) 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 $281,000-$356,000 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. Hardware Engineering is a diverse, and collaborative group of electrical, mechanical, reliability, software and vehicle engineers. We design, build, and perfect the products which are the eyes and ears of Waymo's autonomous driving technology, and integrate those products into vehicle platforms. We're looking for curious and talented teammates to keep us moving in the right direction. The Embedded Simulation team enables Waymo to quickly and reliably scale the Waymo Driver across new vehicle & hardware platforms, and to accelerate development of our embedded and reliability software systems. We build both dedicated test properties for embedded and hardware use cases, and also incorporate our technology into full-system behavioral simulation. In this role, you will report to the Senior Director, R&D Software Engineering You will: Lead & manage team responsible for embedded HIL/SIL testing and simulation. Set strategy for expansion of test & sim infrastructure to support new products and Waymo's scale. Develop Waymo internal graph-based simulation framework in C++ and improve simulation realism by implementing models of a vehicle and environmental conditions. Combine past logged data with the output of the models running in a loop for a more representative simulation. Integrate SIL and HIL simulation with CI/CD pipelines. Ensure test & sim infrastructure is highly available and reliable. You have: Technical leadership of software teams. Strong knowledge of modern C++ Experience designing, implementing and maintaining production software systems Linux on advanced user level Familiarity in Electrical Engineering We prefer: People management experience Passion for HIL simulation Embedded programming experience Linux for real-time applications Knowledge of general-purpose and automotive network systems (Ethernet, CAN, etc.) Familiarity with the building blocks for datacenter monitoring systems (databases, dashboards, etc.) 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 $281,000-$356,000 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. The Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you! This role follows a hybrid work schedule and reports to an Engineering Manager. You will: Develop signals to measure the performance and driving qualities of the Waymo driver, using a range of techniques including statistics, math, physics, algorithms and machine learning. Use simulation creatively and mine real world driving logs to measure driving performance. Design and implement methods to make a stronger connection between onboard software changes and simulated outcomes. Champion code health and best practices in a large and complex code base. Analyze data and make recommendations on how to improve metric quality and interpretability. Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions. You have: BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area Strong self-motivation to navigate complex systems and pursue open-ended problems to completion 2-3 years of industry 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 Quant/data fluency is a top requirement We prefer: Experience coding in C++ Experience with ML Experience with A/B experiment infrastructure Experience building and validating metrics to measure quality in complex systems Exposure to ad-hoc data analysis tools for rapid modeling and prototyping Experience working in the AV industry 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. The Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you! This role follows a hybrid work schedule and reports to an Engineering Manager. You will: Develop signals to measure the performance and driving qualities of the Waymo driver, using a range of techniques including statistics, math, physics, algorithms and machine learning. Use simulation creatively and mine real world driving logs to measure driving performance. Design and implement methods to make a stronger connection between onboard software changes and simulated outcomes. Champion code health and best practices in a large and complex code base. Analyze data and make recommendations on how to improve metric quality and interpretability. Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions. You have: BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area Strong self-motivation to navigate complex systems and pursue open-ended problems to completion 2-3 years of industry 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 Quant/data fluency is a top requirement We prefer: Experience coding in C++ Experience with ML Experience with A/B experiment infrastructure Experience building and validating metrics to measure quality in complex systems Exposure to ad-hoc data analysis tools for rapid modeling and prototyping Experience working in the AV industry 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
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 Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you! This role follows a hybrid work schedule and reports to an Engineering Manager. You will: Develop signals to measure the performance and driving qualities of the Waymo driver, using a range of techniques including statistics, math, physics, algorithms and machine learning. Use simulation creatively and mine real world driving logs to measure driving performance. Design and implement methods to make a stronger connection between onboard software changes and simulated outcomes. Champion code health and best practices in a large and complex code base. Analyze data and make recommendations on how to improve metric quality and interpretability. Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions. You have: BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area Strong self-motivation to navigate complex systems and pursue open-ended problems to completion 2-3 years of industry 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 Quant/data fluency is a top requirement We prefer: Experience coding in C++ Experience with ML Experience with A/B experiment infrastructure Experience building and validating metrics to measure quality in complex systems Exposure to ad-hoc data analysis tools for rapid modeling and prototyping Experience working in the AV industry 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. The Planner Evaluation team works on one of the key challenges in autonomous driving: measuring and improving the quality of the software that drives the car. We are looking for experienced data-minded software engineers and data scientists to help us improve how we characterize and evaluate changes to the Onboard software stack (Planner, Perception, etc). If you are passionate about autonomous vehicles and how to use rich, complex data to drive decision making, this is the role for you! This role follows a hybrid work schedule and reports to an Engineering Manager. You will: Develop signals to measure the performance and driving qualities of the Waymo driver, using a range of techniques including statistics, math, physics, algorithms and machine learning. Use simulation creatively and mine real world driving logs to measure driving performance. Design and implement methods to make a stronger connection between onboard software changes and simulated outcomes. Champion code health and best practices in a large and complex code base. Analyze data and make recommendations on how to improve metric quality and interpretability. Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions. You have: BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area Strong self-motivation to navigate complex systems and pursue open-ended problems to completion 2-3 years of industry 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 Quant/data fluency is a top requirement We prefer: Experience coding in C++ Experience with ML Experience with A/B experiment infrastructure Experience building and validating metrics to measure quality in complex systems Exposure to ad-hoc data analysis tools for rapid modeling and prototyping Experience working in the AV industry 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
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 commercial service is up and running in multiple cities, with ambitious plans to expand dramatically in the coming years; the associated infrastructure is in an early stage and requires significant investment for Waymo to grow into a high scale, world-class service. Increasing demand for Waymo's ride-hailing service will drive evolution of our systems, providing an opportunity-rich environment to solve hard, ambiguous, high-impact, cross-functional problems. Team: Fleet Management Project: Workshop management; focused on planning and executing vehicle maintenance and uptime software. In this hybrid role, you will report to an Engineering Manager. You will: Design, develop, test, and optimize Angular applications using Typescript and modern development techniques. Build and evolve mission-critical tools and systems that allow Waymo to scale and serve new markets. Collaborate with Product, UX, and other engineers to design and develop internal user-facing products. Ship solutions to novel problems that arise in a fast-paced environment. 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 You have: Bachelor's degree in Computer Science or equivalent practical experience. 4+ years of experience in full-stack development. Strong understanding of web development fundamentals including HTML, CSS, and modern JavaScript/TypeScript. Knowledge of common frontend web development frameworks (e.g., Angular, React, Vue). Interest in backend development. Experience with 3rd party integrations and public APIs We prefer: Familiarity with Google infrastructure (e.g. Flume, Borg, Protocol Buffers, OnePlatform) or GCP equivalent Backend experience in Java, Python, Go, C++ or similar. Working knowledge of frontend frameworks (e.g. Angular, Dart) Scalability experience Experience in the automotive industry 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 commercial service is up and running in multiple cities, with ambitious plans to expand dramatically in the coming years; the associated infrastructure is in an early stage and requires significant investment for Waymo to grow into a high scale, world-class service. Increasing demand for Waymo's ride-hailing service will drive evolution of our systems, providing an opportunity-rich environment to solve hard, ambiguous, high-impact, cross-functional problems. Team: Fleet Management Project: Workshop management; focused on planning and executing vehicle maintenance and uptime software. In this hybrid role, you will report to an Engineering Manager. You will: Design, develop, test, and optimize Angular applications using Typescript and modern development techniques. Build and evolve mission-critical tools and systems that allow Waymo to scale and serve new markets. Collaborate with Product, UX, and other engineers to design and develop internal user-facing products. Ship solutions to novel problems that arise in a fast-paced environment. 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 You have: Bachelor's degree in Computer Science or equivalent practical experience. 4+ years of experience in full-stack development. Strong understanding of web development fundamentals including HTML, CSS, and modern JavaScript/TypeScript. Knowledge of common frontend web development frameworks (e.g., Angular, React, Vue). Interest in backend development. Experience with 3rd party integrations and public APIs We prefer: Familiarity with Google infrastructure (e.g. Flume, Borg, Protocol Buffers, OnePlatform) or GCP equivalent Backend experience in Java, Python, Go, C++ or similar. Working knowledge of frontend frameworks (e.g. Angular, Dart) Scalability experience Experience in the automotive industry 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. The Waymo Driver is performing well in more and more cities, with our scale rapidly accelerating. Our team's job is to ensure that we can continue to evaluate safety and service quality across new cities and countries, each with their unique challenges. We need an experienced, technically hands-on engineering manager with strong quantitative skills to lead a small team and work with partners to scale eval and ML development by exploring new methods and delivering tools for mining and sampling data.In this hybrid role, you will report to a Senior Staff manager. You will: Develop tools for easy mining of novel situations that might impact safety from our driving logs for use in evaluation and ML datasets, using a mixture of ML and structured data Advanced sampling techniques and tuning of simulations to get strong signal for metrics and models from our datasets Build automation for our mining and sampling ecosystem so Waymo can rapidly scale to new cities Make hands-on technical contributions to both engineering and data science-oriented projects Provide strong management and technical leadership for a small team of data science-friendly engineers Partner with leads and teams across Waymo to determine and execute on strategy, including product, engineering, data science, frontend, and backend You have: Strong engineering design and programming skills Strong data fluency and analysis skills Familiarity with statistical methods including hypothesis testing, experiment design, and sampling Familiarity with foundational and contemporary ML concepts and practices Experience managing teams of up to 8 people BS/MS in Computer Science, Robotics, Statistics, Physics, Math, or other quantitative area 7+ years of industry experience with: C++, SQL, and Python experience Navigating and modifying a large code base containing C++, SQL, and Python Building data processing pipelines We prefer: Eval experience, such as building and validating metrics to measure quality in complex systems Strong statistical background (MSc-level stats or similar expertise from work experience) Strong ML background (MSc-level ML or similar expertise from work experience) Experience working in the AV industry and/or with simulations 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 $281,000-$356,000 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 Waymo Driver is performing well in more and more cities, with our scale rapidly accelerating. Our team's job is to ensure that we can continue to evaluate safety and service quality across new cities and countries, each with their unique challenges. We need an experienced, technically hands-on engineering manager with strong quantitative skills to lead a small team and work with partners to scale eval and ML development by exploring new methods and delivering tools for mining and sampling data.In this hybrid role, you will report to a Senior Staff manager. You will: Develop tools for easy mining of novel situations that might impact safety from our driving logs for use in evaluation and ML datasets, using a mixture of ML and structured data Advanced sampling techniques and tuning of simulations to get strong signal for metrics and models from our datasets Build automation for our mining and sampling ecosystem so Waymo can rapidly scale to new cities Make hands-on technical contributions to both engineering and data science-oriented projects Provide strong management and technical leadership for a small team of data science-friendly engineers Partner with leads and teams across Waymo to determine and execute on strategy, including product, engineering, data science, frontend, and backend You have: Strong engineering design and programming skills Strong data fluency and analysis skills Familiarity with statistical methods including hypothesis testing, experiment design, and sampling Familiarity with foundational and contemporary ML concepts and practices Experience managing teams of up to 8 people BS/MS in Computer Science, Robotics, Statistics, Physics, Math, or other quantitative area 7+ years of industry experience with: C++, SQL, and Python experience Navigating and modifying a large code base containing C++, SQL, and Python Building data processing pipelines We prefer: Eval experience, such as building and validating metrics to measure quality in complex systems Strong statistical background (MSc-level stats or similar expertise from work experience) Strong ML background (MSc-level ML or similar expertise from work experience) Experience working in the AV industry and/or with simulations 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 $281,000-$356,000 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. The Waymo Driver is performing well in more and more cities, with our scale rapidly accelerating. Our team's job is to ensure that we can continue to evaluate safety and service quality across new cities and countries, each with their unique challenges. We need an experienced, technically hands-on engineering manager with strong quantitative skills to lead a small team and work with partners to scale eval and ML development by exploring new methods and delivering tools for mining and sampling data.In this hybrid role, you will report to a Senior Staff manager. You will: Develop tools for easy mining of novel situations that might impact safety from our driving logs for use in evaluation and ML datasets, using a mixture of ML and structured data Advanced sampling techniques and tuning of simulations to get strong signal for metrics and models from our datasets Build automation for our mining and sampling ecosystem so Waymo can rapidly scale to new cities Make hands-on technical contributions to both engineering and data science-oriented projects Provide strong management and technical leadership for a small team of data science-friendly engineers Partner with leads and teams across Waymo to determine and execute on strategy, including product, engineering, data science, frontend, and backend You have: Strong engineering design and programming skills Strong data fluency and analysis skills Familiarity with statistical methods including hypothesis testing, experiment design, and sampling Familiarity with foundational and contemporary ML concepts and practices Experience managing teams of up to 8 people BS/MS in Computer Science, Robotics, Statistics, Physics, Math, or other quantitative area 7+ years of industry experience with: C++, SQL, and Python experience Navigating and modifying a large code base containing C++, SQL, and Python Building data processing pipelines We prefer: Eval experience, such as building and validating metrics to measure quality in complex systems Strong statistical background (MSc-level stats or similar expertise from work experience) Strong ML background (MSc-level ML or similar expertise from work experience) Experience working in the AV industry and/or with simulations 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 $281,000-$356,000 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 Waymo Driver is performing well in more and more cities, with our scale rapidly accelerating. Our team's job is to ensure that we can continue to evaluate safety and service quality across new cities and countries, each with their unique challenges. We need an experienced, technically hands-on engineering manager with strong quantitative skills to lead a small team and work with partners to scale eval and ML development by exploring new methods and delivering tools for mining and sampling data.In this hybrid role, you will report to a Senior Staff manager. You will: Develop tools for easy mining of novel situations that might impact safety from our driving logs for use in evaluation and ML datasets, using a mixture of ML and structured data Advanced sampling techniques and tuning of simulations to get strong signal for metrics and models from our datasets Build automation for our mining and sampling ecosystem so Waymo can rapidly scale to new cities Make hands-on technical contributions to both engineering and data science-oriented projects Provide strong management and technical leadership for a small team of data science-friendly engineers Partner with leads and teams across Waymo to determine and execute on strategy, including product, engineering, data science, frontend, and backend You have: Strong engineering design and programming skills Strong data fluency and analysis skills Familiarity with statistical methods including hypothesis testing, experiment design, and sampling Familiarity with foundational and contemporary ML concepts and practices Experience managing teams of up to 8 people BS/MS in Computer Science, Robotics, Statistics, Physics, Math, or other quantitative area 7+ years of industry experience with: C++, SQL, and Python experience Navigating and modifying a large code base containing C++, SQL, and Python Building data processing pipelines We prefer: Eval experience, such as building and validating metrics to measure quality in complex systems Strong statistical background (MSc-level stats or similar expertise from work experience) Strong ML background (MSc-level ML or similar expertise from work experience) Experience working in the AV industry and/or with simulations 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 $281,000-$356,000 USD
