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Sr. Specialist, Software Development Engineer in Test
Santander Holdings USA Inc Coconut Grove, Florida
It Starts Here: Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: This is a hybrid role located in the Coconut Grove area of Miami The Sr. Specialist, Software Development Engineer in Test (SDET) is responsible for ensuring the quality, reliability, and performance of applications through automation, technical testing, and deep collaboration with engineering teams. SDETs combine software development skills with quality engineering practices to design, build, and maintain automated test frameworks, tools, and test suites across UI, API, backend, and integrated systems for high availability, secure, regulated financial platforms. They participate throughout the SDLC - from design to deployment - to ensure testability, accelerate releases, and drive an automation-first quality culture. Analyze requirements to design test plans, test cases, and test acceptance criteria. Perform and support wide range of functional and non-functional testing types including automated functional and feature testing, regression, integration, system, compatibility, API, and performance tests. Develop and maintain automated test scripts and reusable frameworks, tools, utilities (UI/API/backend/mobile) Integrate automation into CI/CD pipelines and support continuous testing (Shift left/right) Identify, log, and report defects; support root-cause analysis; perform manual tests when needed to cover critical paths or exploratory tests. Write SQL queries for backend, data flow and APIs validation. Collaborate with developers, product, architecture, vendors, and engineering teams to ensure testability. Support test environment setup, automated test data creation, and test-to-production migration. Prepare test documentation, metrics, and quality reports. Apply QA methodologies, best practices, shift left/right, risk-based testing, standards and automation maturity. Use AI/LLM tools for test case generation, automation, impact analysis, optimization, classification, and documentation Develop deep understanding of supported business processes and related applications. Perform additional duties as needed to support on going delivery of high quality apps. What You Bring: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor's Degree or equivalent work experience: Computer Science, Software Engineering or equivalent field. - Required. 3+ Years Experience developing test strategies, test plans, and test cases. - Required Create and execute test cases; prepare test setups. Conduct regression testing and log/report defects. Research/resolve basic production support cases. Engage with development for clarifications and issue resolution. Use AI tools for basic tests creation, documentation, and analysis Programming or scripting experience (Java, Python, JS, C#, or similar) Automation tools/frameworks: Selenium, Cypress, Playwright, Appium, REST-Assured, JMeter, etc. Strong understanding of QA methodologies, testing lifecycle, and SDLC. Agile methodology, DevSecOps exposure along with CI/CD tools like GitHub Actions, Azure DevOps, Jenkins, etc SQL proficiency; ability to test web apps, APIs, and systems with minimal UI. Experience with JIRA/ALM/Xray or similar tools. Comfort using AI-powered testing tools, copilots, and analysis utilities. Strong analytical, communication, documentation, and problem-solving skills. Ability to manage workload, collaborate in Agile teams, effectively, and work independently. Certifications: No Certifications listed for this job. It Would Be Nice For You To Have: Knowledge of QA concepts and test lifecycle. Basic SQL; familiarity with ALM/JIRA. Basic understanding of mobile development languages (Java/Objective-C/Swift/C#). Strong ability to learn quickly and meet deadlines. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $61,875.00 USD Maximum: $107,500.00 USD We Value Your Impact: Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide () Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next : If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs.
04/06/2026
Full time
It Starts Here: Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: This is a hybrid role located in the Coconut Grove area of Miami The Sr. Specialist, Software Development Engineer in Test (SDET) is responsible for ensuring the quality, reliability, and performance of applications through automation, technical testing, and deep collaboration with engineering teams. SDETs combine software development skills with quality engineering practices to design, build, and maintain automated test frameworks, tools, and test suites across UI, API, backend, and integrated systems for high availability, secure, regulated financial platforms. They participate throughout the SDLC - from design to deployment - to ensure testability, accelerate releases, and drive an automation-first quality culture. Analyze requirements to design test plans, test cases, and test acceptance criteria. Perform and support wide range of functional and non-functional testing types including automated functional and feature testing, regression, integration, system, compatibility, API, and performance tests. Develop and maintain automated test scripts and reusable frameworks, tools, utilities (UI/API/backend/mobile) Integrate automation into CI/CD pipelines and support continuous testing (Shift left/right) Identify, log, and report defects; support root-cause analysis; perform manual tests when needed to cover critical paths or exploratory tests. Write SQL queries for backend, data flow and APIs validation. Collaborate with developers, product, architecture, vendors, and engineering teams to ensure testability. Support test environment setup, automated test data creation, and test-to-production migration. Prepare test documentation, metrics, and quality reports. Apply QA methodologies, best practices, shift left/right, risk-based testing, standards and automation maturity. Use AI/LLM tools for test case generation, automation, impact analysis, optimization, classification, and documentation Develop deep understanding of supported business processes and related applications. Perform additional duties as needed to support on going delivery of high quality apps. What You Bring: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor's Degree or equivalent work experience: Computer Science, Software Engineering or equivalent field. - Required. 3+ Years Experience developing test strategies, test plans, and test cases. - Required Create and execute test cases; prepare test setups. Conduct regression testing and log/report defects. Research/resolve basic production support cases. Engage with development for clarifications and issue resolution. Use AI tools for basic tests creation, documentation, and analysis Programming or scripting experience (Java, Python, JS, C#, or similar) Automation tools/frameworks: Selenium, Cypress, Playwright, Appium, REST-Assured, JMeter, etc. Strong understanding of QA methodologies, testing lifecycle, and SDLC. Agile methodology, DevSecOps exposure along with CI/CD tools like GitHub Actions, Azure DevOps, Jenkins, etc SQL proficiency; ability to test web apps, APIs, and systems with minimal UI. Experience with JIRA/ALM/Xray or similar tools. Comfort using AI-powered testing tools, copilots, and analysis utilities. Strong analytical, communication, documentation, and problem-solving skills. Ability to manage workload, collaborate in Agile teams, effectively, and work independently. Certifications: No Certifications listed for this job. It Would Be Nice For You To Have: Knowledge of QA concepts and test lifecycle. Basic SQL; familiarity with ALM/JIRA. Basic understanding of mobile development languages (Java/Objective-C/Swift/C#). Strong ability to learn quickly and meet deadlines. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $61,875.00 USD Maximum: $107,500.00 USD We Value Your Impact: Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide () Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next : If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs.
USA Sr. Associate, Application Development
Santander Holdings USA Inc New York City, New York
It Starts Here: Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: The Senior Developer, Application Development serves as a highly experienced, hands-on technical contributor supporting multiple complex application initiatives. This role plays a critical part in the analysis, design, development, troubleshooting, and maintenance of enterprise software solutions that support key business units. The Senior Developer operates with a high degree of autonomy, provides deep technical expertise across systems and components, and contributes to architectural decisions and delivery strategy. The role requires strong problem-solving skills, accurate workload estimation, and the ability to clearly communicate and drive solutions for complex technical challenges. Act as a senior hands-on developer across multiple complex application initiatives. Lead technical analysis, design, development, and maintenance of software applications and components. Provide advanced expertise in troubleshooting complex application, system, and performance issues. Design, implement, and support system enhancements, refactoring, and modernization efforts. Research, evaluate, and implement solutions for performance monitoring, tuning, scalability, and system configuration. Drive the development and maintenance of automated test suites and quality assurance practices. Contribute significantly to technical design and architectural decisions for complex projects. Accurately estimate effort, identify technical risks, and help plan delivery milestones. Mentor and provide technical guidance to associate and mid-level developers. Partner closely with architects, product owners, and business stakeholders to achieve key objectives. Promote engineering best practices, code quality, and continuous improvement within the team. What You Bring: To perform this role successfully, the individual must be able to perform each essential duty satisfactorily. The requirements below represent the knowledge, skills, and abilities required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent work experience - Required. 7+ years of hands-on application development experience , with strong expertise in Java and/or .NET / C# in a distributed systems. - Required. Advanced proficiency in object-oriented programming and design patterns. Proven expertise in modern software paradigms, including: Web and backend development Service-oriented and microservices architectures Cloud computing concepts Test-driven development (TDD) Domain-driven design (DDD) Strong service-oriented architecture and integration experience. Strong SQL and relational database skills. Demonstrated ability to design and troubleshoot large-scale, high-availability systems. Strong analytical, critical thinking, and problem-solving skills. Excellent written and verbal communication skills. Ability to manage multiple initiatives and context switch effectively. Ability to continuously evaluate existing systems and drive improvements. Commitment to maintaining industry knowledge, standards, and best practices. Curiosity and aptitude for adopting new technologies and collaborating to deliver custom solutions. Experience with frontend frameworks (Angular, React, JavaScript, TypeScript) strongly required. Backend / server-side development expertise. Experience with performance-critical, scalable systems is highly desirable. Certifications: No Certifications listed for this job. It Would Be Nice For You To Have: Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education. Experience in Microsoft Office products. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $175,000.00 USD Maximum: $220,000.00 USD We Value Your Impact: Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide () Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next : If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs.
04/06/2026
Full time
It Starts Here: Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: The Senior Developer, Application Development serves as a highly experienced, hands-on technical contributor supporting multiple complex application initiatives. This role plays a critical part in the analysis, design, development, troubleshooting, and maintenance of enterprise software solutions that support key business units. The Senior Developer operates with a high degree of autonomy, provides deep technical expertise across systems and components, and contributes to architectural decisions and delivery strategy. The role requires strong problem-solving skills, accurate workload estimation, and the ability to clearly communicate and drive solutions for complex technical challenges. Act as a senior hands-on developer across multiple complex application initiatives. Lead technical analysis, design, development, and maintenance of software applications and components. Provide advanced expertise in troubleshooting complex application, system, and performance issues. Design, implement, and support system enhancements, refactoring, and modernization efforts. Research, evaluate, and implement solutions for performance monitoring, tuning, scalability, and system configuration. Drive the development and maintenance of automated test suites and quality assurance practices. Contribute significantly to technical design and architectural decisions for complex projects. Accurately estimate effort, identify technical risks, and help plan delivery milestones. Mentor and provide technical guidance to associate and mid-level developers. Partner closely with architects, product owners, and business stakeholders to achieve key objectives. Promote engineering best practices, code quality, and continuous improvement within the team. What You Bring: To perform this role successfully, the individual must be able to perform each essential duty satisfactorily. The requirements below represent the knowledge, skills, and abilities required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent work experience - Required. 7+ years of hands-on application development experience , with strong expertise in Java and/or .NET / C# in a distributed systems. - Required. Advanced proficiency in object-oriented programming and design patterns. Proven expertise in modern software paradigms, including: Web and backend development Service-oriented and microservices architectures Cloud computing concepts Test-driven development (TDD) Domain-driven design (DDD) Strong service-oriented architecture and integration experience. Strong SQL and relational database skills. Demonstrated ability to design and troubleshoot large-scale, high-availability systems. Strong analytical, critical thinking, and problem-solving skills. Excellent written and verbal communication skills. Ability to manage multiple initiatives and context switch effectively. Ability to continuously evaluate existing systems and drive improvements. Commitment to maintaining industry knowledge, standards, and best practices. Curiosity and aptitude for adopting new technologies and collaborating to deliver custom solutions. Experience with frontend frameworks (Angular, React, JavaScript, TypeScript) strongly required. Backend / server-side development expertise. Experience with performance-critical, scalable systems is highly desirable. Certifications: No Certifications listed for this job. It Would Be Nice For You To Have: Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education. Experience in Microsoft Office products. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $175,000.00 USD Maximum: $220,000.00 USD We Value Your Impact: Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide () Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next : If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs.
DevOps Engineer Manager
iClassPro Inc Longview, Texas
Join the Team Behind the World's Leading Class Management Software! What You Will Do Manage, coach, and develop a team of DevOps/platform engineers Create a team culture grounded in ownership and continuous improvement Set clear goals and priorities ; shield the team from noise while maintaining stakeholder visibility Partner with engineering leadership on headcount planning, org design, and cross-team initiatives Own the design, reliability, and scalability of our cloud infrastructure Drive adoption of infrastructure-as-code and cloud cost optimization practices Lead incident response, postmortems, and remediation - ensuring we learn and prevent recurrence Maintain and evolve our SRE practices including on-call rotations, alerting, and runbooks Oversee the design and operation of our CI/CD pipelines , enabling fast and safe software delivery Collaborate with engineering teams to r educe build times, improve test coverage gates, and eliminate deployment friction Define and enforce release processes, branching strategies, and environment promotion standards Ensure SLAs are met on critical support escalations Partner with product and engineering to close the feedback loop - turning recurring support issues into platform improvements What You Bring 3+ years managing engineering teams , with a demonstrated ability to hire, grow and retain technical talent Strong background in cloud infrastructure , preferably AWS, and modern DevOps practices Hands-on experience with CI/CD tooling (GitHub Actions, Jenkins, CircleCI, or similar) Experience with SRE principles : on-call management, SLOs/SLIs, incident response, and postmortems Excellent communication skills - able to t ranslate technical concepts for non-technical stakeholders Proven ability to manage competing priorities and thrive in a fast-moving SaaS environment Experience with containerization and orchestration (Docker, Kubernetes, ECS) Familiarity with infrastructure-as-code tools such as Terraform or Pulumi Background in a Tier 3 or platform support escalation function preferred Experience scaling DevOps practices across multiple engineering teams preferred What We Bring We believe in taking care of our people. Highly competitive compensation package Robust PTO because work-life balance matters Comprehensive health benefits including medical, dental, vision, and more! Generous 401(k) contribution to help you plan for your future Fun company events that connect our team Career growth opportunities in a thriving, purpose-driven company Relocation Assistance Who We Are At iClassPro , we're more than just a software company - we're on a mission to help gym, swim, dance, and cheer businesses spend less time managing and more time doing what they love: coaching, teaching, and building strong communities. Our class management platform powers thousands of youth activity centers worldwide , helping them run more efficiently, grow their revenue, and achieve long-term success. We're proud to have earned a spot on the Inc. 5000 list of fastest-growing private companies for three years running: 2023, 2024, and 2025! We want to set you up for success from Day One. That's why we use the Culture Index Survey - a quick tool that helps align your natural strengths with our roles and teams. All applicants will need to take the Culture Index Survey during the application process. Want to be proactive? Visit Culture Index once you have submitted the application. iClassPro is an Equal Opportunity Employer. Applicants must be authorized to work for any employer in the U.S. We will not participate in STEM OPT programs, nor sponsor or take over sponsorship of an employment visa for this position. E-Verify is used to verify authorization to work in the U.S. PI482e301ddf36-1505
04/05/2026
Full time
Join the Team Behind the World's Leading Class Management Software! What You Will Do Manage, coach, and develop a team of DevOps/platform engineers Create a team culture grounded in ownership and continuous improvement Set clear goals and priorities ; shield the team from noise while maintaining stakeholder visibility Partner with engineering leadership on headcount planning, org design, and cross-team initiatives Own the design, reliability, and scalability of our cloud infrastructure Drive adoption of infrastructure-as-code and cloud cost optimization practices Lead incident response, postmortems, and remediation - ensuring we learn and prevent recurrence Maintain and evolve our SRE practices including on-call rotations, alerting, and runbooks Oversee the design and operation of our CI/CD pipelines , enabling fast and safe software delivery Collaborate with engineering teams to r educe build times, improve test coverage gates, and eliminate deployment friction Define and enforce release processes, branching strategies, and environment promotion standards Ensure SLAs are met on critical support escalations Partner with product and engineering to close the feedback loop - turning recurring support issues into platform improvements What You Bring 3+ years managing engineering teams , with a demonstrated ability to hire, grow and retain technical talent Strong background in cloud infrastructure , preferably AWS, and modern DevOps practices Hands-on experience with CI/CD tooling (GitHub Actions, Jenkins, CircleCI, or similar) Experience with SRE principles : on-call management, SLOs/SLIs, incident response, and postmortems Excellent communication skills - able to t ranslate technical concepts for non-technical stakeholders Proven ability to manage competing priorities and thrive in a fast-moving SaaS environment Experience with containerization and orchestration (Docker, Kubernetes, ECS) Familiarity with infrastructure-as-code tools such as Terraform or Pulumi Background in a Tier 3 or platform support escalation function preferred Experience scaling DevOps practices across multiple engineering teams preferred What We Bring We believe in taking care of our people. Highly competitive compensation package Robust PTO because work-life balance matters Comprehensive health benefits including medical, dental, vision, and more! Generous 401(k) contribution to help you plan for your future Fun company events that connect our team Career growth opportunities in a thriving, purpose-driven company Relocation Assistance Who We Are At iClassPro , we're more than just a software company - we're on a mission to help gym, swim, dance, and cheer businesses spend less time managing and more time doing what they love: coaching, teaching, and building strong communities. Our class management platform powers thousands of youth activity centers worldwide , helping them run more efficiently, grow their revenue, and achieve long-term success. We're proud to have earned a spot on the Inc. 5000 list of fastest-growing private companies for three years running: 2023, 2024, and 2025! We want to set you up for success from Day One. That's why we use the Culture Index Survey - a quick tool that helps align your natural strengths with our roles and teams. All applicants will need to take the Culture Index Survey during the application process. Want to be proactive? Visit Culture Index once you have submitted the application. iClassPro is an Equal Opportunity Employer. Applicants must be authorized to work for any employer in the U.S. We will not participate in STEM OPT programs, nor sponsor or take over sponsorship of an employment visa for this position. E-Verify is used to verify authorization to work in the U.S. PI482e301ddf36-1505
Senior Product Manager, Drone Hardware Platforms & Sensors
Skydio Inc. San Mateo, California
Senior Product Manager, Drone Hardware Platforms & Sensors San Mateo, California, United States - Full-time Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users. From utility inspectors to first responders, soldiers in battlefield scenarios and beyond . About the Role As a Senior Product Manager for Drone Hardware Platforms & Sensors, you will work closely with our customers and our hardware and embedded software engineering teams to help define and shape Skydio's current and next-gen drone platforms, controllers, cameras, and accessories ecosystem. You'll ensure that we are building and delivering the right products to solve the most important problems across enterprise, government, and public safety. This is an incredible opportunity to have an outsized impact in service of our customers. Location This position is based onsite 5 days/week at our HQ in San Mateo, CA, with 25% travel. We offer relocation assistance if needed. How you'll make an impact Help shape our overall vehicle and hardware strategy in collaboration with our CEO and engineering executives, including the development of new hardware products, including new vehicle form factors. Engage with customers, prospects, and internal stakeholders to understand core business problems and develop visions and strategies to solve them. Draw upon direct customer experiences and ride-alongs as well as usage analytics to solve the most important and impactful problems for our customers. Continually develop, own, and publish product requirement documents and roadmaps for Skydio's vehicle hardware, controllers, cameras/sensors and embedded software. Partner with designers and engineering leaders spanning hardware, firmware, computer vision, AI, and machine learning to execute your product vision and requirements. Capture, document, and distill feedback from customers and prospects to steer product development. Collaborate closely with sales and customer success to build and maintain close customer relationships and ensure success. Partner with product marketing to develop launch plans, product positioning and messaging to bring your products to market. What would make you a strong fit 5+ years of proven success in defining and delivering complex hardware products with integrated software. Deep technical understanding of IoT or camera/sensors product technologies. Experience launching robust hardware products for Enterprise, Public Safety or Defense Customers. Detail-oriented with exceptional written and oral communication skills. Direct or indirect experience with engineering that allows you to actively participate in deep discussions with engineers on complex technical architecture challenges and tradeoffs. Highly facilitative team player who strives to enable others to do their best work. A passion for speaking with and learning from customers. A background in electrical engineering, mechanical engineering, or computer science. An advanced degree or an MBA would be a plus, but is not required. Background experience in utilities, public safety or federal (ISR) workflows Experience with enterprise/professional robotics or drones Expertise in camera interfaces, either in photography, videography, and/or for drone cameras Compensation At Skydio, our compensation packages for regular, full-time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $150,000 - $190,000 . Fundamentally, we believe that equity is the key to long-term financial growth, and we ensure all regular, full-time employees have the opportunity to significantly benefit from the company's success. Regular, full-time employees are eligible to enroll in the Company's group health insurance plans. Regular, full-time employees are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company's policies and eligibility criteria. Compensation for certain positions may vary based on the position's location. At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws. For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit
04/04/2026
Full time
Senior Product Manager, Drone Hardware Platforms & Sensors San Mateo, California, United States - Full-time Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users. From utility inspectors to first responders, soldiers in battlefield scenarios and beyond . About the Role As a Senior Product Manager for Drone Hardware Platforms & Sensors, you will work closely with our customers and our hardware and embedded software engineering teams to help define and shape Skydio's current and next-gen drone platforms, controllers, cameras, and accessories ecosystem. You'll ensure that we are building and delivering the right products to solve the most important problems across enterprise, government, and public safety. This is an incredible opportunity to have an outsized impact in service of our customers. Location This position is based onsite 5 days/week at our HQ in San Mateo, CA, with 25% travel. We offer relocation assistance if needed. How you'll make an impact Help shape our overall vehicle and hardware strategy in collaboration with our CEO and engineering executives, including the development of new hardware products, including new vehicle form factors. Engage with customers, prospects, and internal stakeholders to understand core business problems and develop visions and strategies to solve them. Draw upon direct customer experiences and ride-alongs as well as usage analytics to solve the most important and impactful problems for our customers. Continually develop, own, and publish product requirement documents and roadmaps for Skydio's vehicle hardware, controllers, cameras/sensors and embedded software. Partner with designers and engineering leaders spanning hardware, firmware, computer vision, AI, and machine learning to execute your product vision and requirements. Capture, document, and distill feedback from customers and prospects to steer product development. Collaborate closely with sales and customer success to build and maintain close customer relationships and ensure success. Partner with product marketing to develop launch plans, product positioning and messaging to bring your products to market. What would make you a strong fit 5+ years of proven success in defining and delivering complex hardware products with integrated software. Deep technical understanding of IoT or camera/sensors product technologies. Experience launching robust hardware products for Enterprise, Public Safety or Defense Customers. Detail-oriented with exceptional written and oral communication skills. Direct or indirect experience with engineering that allows you to actively participate in deep discussions with engineers on complex technical architecture challenges and tradeoffs. Highly facilitative team player who strives to enable others to do their best work. A passion for speaking with and learning from customers. A background in electrical engineering, mechanical engineering, or computer science. An advanced degree or an MBA would be a plus, but is not required. Background experience in utilities, public safety or federal (ISR) workflows Experience with enterprise/professional robotics or drones Expertise in camera interfaces, either in photography, videography, and/or for drone cameras Compensation At Skydio, our compensation packages for regular, full-time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $150,000 - $190,000 . Fundamentally, we believe that equity is the key to long-term financial growth, and we ensure all regular, full-time employees have the opportunity to significantly benefit from the company's success. Regular, full-time employees are eligible to enroll in the Company's group health insurance plans. Regular, full-time employees are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company's policies and eligibility criteria. Compensation for certain positions may vary based on the position's location. At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws. For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit
Amazon
Sr. Software Development Manager, Frontier AI Robotics
Amazon San Francisco, California
Description In this role, you'll combine hands on technical work with leadership, ensuring your team delivers the best environment to develop robust physical AI solutions for dynamic real world environments. You'll leverage Amazon's vast computational resources to tackle ambitious problems in areas like very large multimodal robotic foundation models and efficient, promptable model architectures that can scale across diverse robotic applications. Key job responsibilities You will lead the ML infrastructure team to create model training and simulation environment for developing large robotics foundational models for reasoning, perception, locomotion, and manipulation. Work together with AI researchers to implement and optimize training of new model architectures at a large scale. Define roadmap and build physics realistic simulation environment for reinforcement learning, closed loop simulations and synthetic data generation. Implement tooling for data creation, model experimentation, and continuous integration. About the team At Frontier AI & Robotics, we're not just advancing robotics - we're reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier foundation models and end to end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real world scenarios. What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real world datasets to train and deploy state of the art foundation models. Our work spans the full spectrum of robotics intelligence - from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations. Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world class researchers, and seeing your innovations deployed at unprecedented scale. Basic Qualifications 10+ years of engineering experience 5+ years of engineering team management experience Experience managing multiple concurrent programs, projects and development teams in an Agile environment Proficiency in Python and C++, experience in building large scale training infrastructure using PyTorch Experience with Isaac Sim, Unity, Unreal or proprietary 3D game engine, or industry equivalent technology (3D animation, simulation, etc) 10+ years of planning, designing, developing and delivering infrastructure software Experience partnering with product or program management science teams working in research environments Preferred Qualifications Experience designing and developing large scale, high traffic applications Experience with physical robots, reinforcement learning, synthetic data generation. Experience optimizing physics simulation for articulated robots and rigid body interactions. Deep understanding of different model architecture like VLM, Imitation learning, VLA Experience implementing techniques from research papers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $198,100/year in our lowest geographic market up to $342,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
04/04/2026
Full time
Description In this role, you'll combine hands on technical work with leadership, ensuring your team delivers the best environment to develop robust physical AI solutions for dynamic real world environments. You'll leverage Amazon's vast computational resources to tackle ambitious problems in areas like very large multimodal robotic foundation models and efficient, promptable model architectures that can scale across diverse robotic applications. Key job responsibilities You will lead the ML infrastructure team to create model training and simulation environment for developing large robotics foundational models for reasoning, perception, locomotion, and manipulation. Work together with AI researchers to implement and optimize training of new model architectures at a large scale. Define roadmap and build physics realistic simulation environment for reinforcement learning, closed loop simulations and synthetic data generation. Implement tooling for data creation, model experimentation, and continuous integration. About the team At Frontier AI & Robotics, we're not just advancing robotics - we're reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier foundation models and end to end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real world scenarios. What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real world datasets to train and deploy state of the art foundation models. Our work spans the full spectrum of robotics intelligence - from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations. Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world class researchers, and seeing your innovations deployed at unprecedented scale. Basic Qualifications 10+ years of engineering experience 5+ years of engineering team management experience Experience managing multiple concurrent programs, projects and development teams in an Agile environment Proficiency in Python and C++, experience in building large scale training infrastructure using PyTorch Experience with Isaac Sim, Unity, Unreal or proprietary 3D game engine, or industry equivalent technology (3D animation, simulation, etc) 10+ years of planning, designing, developing and delivering infrastructure software Experience partnering with product or program management science teams working in research environments Preferred Qualifications Experience designing and developing large scale, high traffic applications Experience with physical robots, reinforcement learning, synthetic data generation. Experience optimizing physics simulation for articulated robots and rigid body interactions. Deep understanding of different model architecture like VLM, Imitation learning, VLA Experience implementing techniques from research papers Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $198,100/year in our lowest geographic market up to $342,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit . This position will remain posted until filled. Applicants should apply via our internal or external career site.
Chief Software Architect
BTAS, Inc. El Segundo, California
Overview Position: Chief Software Architect Location: El Segundo, CA Required Security Clearance: Active TS with SCI eligibility Position Type/Standard Work Hours: Full time, 40 hours BTAS, Inc. is a woman-owned small business founded in 1995, located near Wright-Patterson Air Force Base in Beavercreek, OH. We work with DoD programs and are committed to quality, professionalism, and a stimulating work environment. The Opportunity Upon award, BTAS will be filling potential openings for the Space Systems Command (SSC). SSC advances the United States space capabilities, delivering cutting-edge solutions to protect and enhance national security. SSC/SZBC specializes in highly classified Space Domain Awareness (SDA) systems, Defensive and Offensive Space Control (DSC/OSC) capabilities, and space test range assets to support the DoD's current and future operational needs. The position supports multiple SSC/SZ-BC programs and other initiatives across the Space Force, Air Force, and allied organizations. Join us in shaping the future of space operations and contributing to the defense of our nation's space assets. Primary Responsibilities Provide space acquisitions, engineering, operations, and technical advice and assistance across all project and program stages. Support advanced technology acquisitions, future concept development, and integration. Advise on cost, schedule, and performance. Revise or draft JCIDS and other acquisition documents for government program managers. Support presentations of products to internal and external customers. Provide draft SME-level technical and/or programmatic status reports as requested by the government. Identify and recommend improvements in acquisition processes and risk reduction strategies. Assist in building and maintaining a government risk program. Maintain current knowledge of program schedules, monitor acquisition implementation, report shortfalls, and assess programs based on identified risks. Advise on technical engagements such as meetings, design reviews, and conferences. Provide technical and operational insights for mission protection and operations. Recommend solutions for technical anomalies and evaluate impact analyses, audits, and reviews. Advise on software planning and development for spiral/agile acquisition programs. Assist with test and operations, including support for test documents, planning, events, requirements, and data for Developmental and Operational Testing. Provide analytical and operational engineering support to developmental and operational units. Support data and signal collection, processing, storage, archiving, analysis, and lessons learned for tests and operations. Minimum Qualifications BA/BS with 18+ years' experience; or MA/MS with 16+ years' experience; or Ph.D./JD with 15+ years' experience. Individual must be an SME Recognized Industry Leader. Minimum 20 years of progressive software engineering and architectural design for largescale enterprise software projects. Minimum 5 years in a commercial software development company developing enterprise software at scale/complexity. Minimum 5 years of IC or DoD experience designing and deploying large-scale enterprise software solutions for operational missions. Minimum 2 years of SAP experience across complex mission partners and classified programs. Expert in Agile methodology and process at scale; Enterprise Software Engineering. Expert in modern commercial industry enterprise software engineering mindsets, patterns for CI, testing, delivery and deployment at scale. Expert in DevSecOps, SRE, and vertical slice development approaches and best practices. Effective management and leadership experience with large-scale programs (>100 personnel). Effective communication with leadership, stakeholders, and development/industry communities. Knowledge of IC, DoD, Air Force, Space Force or SSC processes for delivering systems to production environments. Familiarity with highly available, scalable cloud-native (IaaS and PaaS) solutions in the commercial sector. Familiarity with highly scalable Data as a Service (DaaS) solutions in the commercial sector. Demonstrated expertise through professional publications and/or patents or masters. Highly Desired: Past or present experience with SSC or mission partner space control or space situational awareness programs. Experience with software engineering languages and tools (Java, Python, C++, or other OO languages), Kubernetes, AWS, Azure Cloud. Supervisory Responsibilities This position may supervise the work of others. Work Environment This job operates in a professional office environment. This role routinely uses standard office equipment. Physical Demands Must be able to operate a computer and other standard office equipment. Must be able to remain in a stationary position for extended periods. Travel Little if any travel is required. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties may change at any time with or without notice. Compensation / Salary Range Full-time, Salary, Exempt. Salary range: $187,000 - $300,000 per year. The range is contingent on experience, education, certification, training, and responsibilities. BTAS Benefits A comprehensive benefits program, including paid time off, federal holidays, health coverage, and 401K plan with generous company match, is offered to all full-time employees. AAP / EEO Statement BTAS is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. BTAS is an E-Verify program participant.
04/02/2026
Full time
Overview Position: Chief Software Architect Location: El Segundo, CA Required Security Clearance: Active TS with SCI eligibility Position Type/Standard Work Hours: Full time, 40 hours BTAS, Inc. is a woman-owned small business founded in 1995, located near Wright-Patterson Air Force Base in Beavercreek, OH. We work with DoD programs and are committed to quality, professionalism, and a stimulating work environment. The Opportunity Upon award, BTAS will be filling potential openings for the Space Systems Command (SSC). SSC advances the United States space capabilities, delivering cutting-edge solutions to protect and enhance national security. SSC/SZBC specializes in highly classified Space Domain Awareness (SDA) systems, Defensive and Offensive Space Control (DSC/OSC) capabilities, and space test range assets to support the DoD's current and future operational needs. The position supports multiple SSC/SZ-BC programs and other initiatives across the Space Force, Air Force, and allied organizations. Join us in shaping the future of space operations and contributing to the defense of our nation's space assets. Primary Responsibilities Provide space acquisitions, engineering, operations, and technical advice and assistance across all project and program stages. Support advanced technology acquisitions, future concept development, and integration. Advise on cost, schedule, and performance. Revise or draft JCIDS and other acquisition documents for government program managers. Support presentations of products to internal and external customers. Provide draft SME-level technical and/or programmatic status reports as requested by the government. Identify and recommend improvements in acquisition processes and risk reduction strategies. Assist in building and maintaining a government risk program. Maintain current knowledge of program schedules, monitor acquisition implementation, report shortfalls, and assess programs based on identified risks. Advise on technical engagements such as meetings, design reviews, and conferences. Provide technical and operational insights for mission protection and operations. Recommend solutions for technical anomalies and evaluate impact analyses, audits, and reviews. Advise on software planning and development for spiral/agile acquisition programs. Assist with test and operations, including support for test documents, planning, events, requirements, and data for Developmental and Operational Testing. Provide analytical and operational engineering support to developmental and operational units. Support data and signal collection, processing, storage, archiving, analysis, and lessons learned for tests and operations. Minimum Qualifications BA/BS with 18+ years' experience; or MA/MS with 16+ years' experience; or Ph.D./JD with 15+ years' experience. Individual must be an SME Recognized Industry Leader. Minimum 20 years of progressive software engineering and architectural design for largescale enterprise software projects. Minimum 5 years in a commercial software development company developing enterprise software at scale/complexity. Minimum 5 years of IC or DoD experience designing and deploying large-scale enterprise software solutions for operational missions. Minimum 2 years of SAP experience across complex mission partners and classified programs. Expert in Agile methodology and process at scale; Enterprise Software Engineering. Expert in modern commercial industry enterprise software engineering mindsets, patterns for CI, testing, delivery and deployment at scale. Expert in DevSecOps, SRE, and vertical slice development approaches and best practices. Effective management and leadership experience with large-scale programs (>100 personnel). Effective communication with leadership, stakeholders, and development/industry communities. Knowledge of IC, DoD, Air Force, Space Force or SSC processes for delivering systems to production environments. Familiarity with highly available, scalable cloud-native (IaaS and PaaS) solutions in the commercial sector. Familiarity with highly scalable Data as a Service (DaaS) solutions in the commercial sector. Demonstrated expertise through professional publications and/or patents or masters. Highly Desired: Past or present experience with SSC or mission partner space control or space situational awareness programs. Experience with software engineering languages and tools (Java, Python, C++, or other OO languages), Kubernetes, AWS, Azure Cloud. Supervisory Responsibilities This position may supervise the work of others. Work Environment This job operates in a professional office environment. This role routinely uses standard office equipment. Physical Demands Must be able to operate a computer and other standard office equipment. Must be able to remain in a stationary position for extended periods. Travel Little if any travel is required. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties may change at any time with or without notice. Compensation / Salary Range Full-time, Salary, Exempt. Salary range: $187,000 - $300,000 per year. The range is contingent on experience, education, certification, training, and responsibilities. BTAS Benefits A comprehensive benefits program, including paid time off, federal holidays, health coverage, and 401K plan with generous company match, is offered to all full-time employees. AAP / EEO Statement BTAS is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. BTAS is an E-Verify program participant.
Software Engineer - TID (Contractor Position)
MBTA Boston, Massachusetts
Overview The Software Engineer in the Technology Innovation Department plays a pivotal role within the software engineering group, collaborating closely with the UX Research and Design, Content, Product and Program team members assigned to each program. Together, they strive to uphold software engineering excellence in civic technology, operating within the specific constraints of the MBTA. The Software Engineer is responsible for a wide variety of software engineering tasks primarily in Elixir and/or TypeScript. Engineering Capabilities Demonstrates strong fundamental coding abilities and knowledge Follows standard engineering division procedures, such as naming conventions, code reviews, writing documentation, testing software changes, writing tests, etc. Writes production quality software Works on front-end and back-end tasks as needed Able to execute any available engineering coding tasks assigned in a sprint Implement architecture best practices regularly Regularly assists others in achieving quality standards through reviews Make changes to pull requests based upon feedback from reviewers Execute development work at a good velocity. Diagnose ongoing application outages or disruptions May write root cause analysis and reports; may handle an urgent hotfix for their products Protects the data security and privacy of our organization and customers Has a basic understanding of logging, log querying, and software profiling Product Team Participation May function as a product manager for technical projects Provides estimates of sprint tasks May advise on near and long-term epic level estimates and may define the scope of an epic May perform defect or feasibility investigations May advise on business value of tech debt May participate in the on-call rotation, as a subject-matter expert for their product and/or the products of TID as a whole Surfaces defects or potential improvement in the sprint backlog Works collaboratively with product and design team members, especially when providing feedback and in sharing knowledge Consistently arrives on time and actively engages in team meetings, including sprint planning, backlog refinement, daily stand-ups, and retrospectives Proactive about moving, updating, and commenting on assigned tasks DevOps and Leadership Works on deployment, build and code analysis systems as needed May participate in interviews and evaluation of engineering candidates May serve as scrum master or a technical leader on a product engineering team Additional responsibilities may include a focus on one or more departments or locations. See applicable addendum for department or location-specific functions. Physical Demands and Working Conditions The physical demands and work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Available to work all shifts and locations as assigned or directed. Available to work as per assignment by the MBTA twenty-four (24) hours per day, seven (7) days per week as directed by supervisory staff for severe weather conditions, emergencies or any other circumstances that may potentially impact service or the safety of service. Have the ability to work any and all shifts and/or locations assigned or directed. Participate in on-call rotation of technology systems and services. Supervision None Minimum Education Bachelor degree from accredited institution Three (3) years of experience in software engineering practices, processes, and team operations. Demonstrated proficiency in at least two (2) programming languages Experience with automated testing, including continuous integration (CI) Experience with GitHub and GitHub workflows (such as pull requests) and code reviewing Ability to translate business requirements into technology Proven people management capabilities, including coaching, effective communication, and conflict resolution skills Strong communication skills Strong analytical thinking and debugging abilities Attention to detail Preferred Experience and Skills Experience in public sector, transportation agency, and/or civic technology team. Knowledge of transit data standards (such as GTFS, GTFS-RT, TODS, TIDES) Experience with Terraform / Infrastructure as Code tools Experience with AWS Job Conditions Adhere to rules, regulations, collective bargaining agreements (if applicable) and policies of the MBTA including the EEO, anti-discrimination, anti-harassment, and anti-retaliation policies. Ability to pass a Criminal Offender Record Information (CORI) check, background screening, and the MBTA's medical requirements, including a physical examination and drug and alcohol screening. Have a satisfactory work record for the two (2) years immediately prior to the closing date of this posting, including overall employment, job performance, discipline, and safety records (infractions and/or offenses occurring after the closing of the posting and before the filling of a vacancy may preclude a candidate from consideration for selection). The above statements are intended to describe the general nature and complexity of the work being performed by staff assigned to this job, and do not represent an exhaustive list of all duties, tasks, and responsibilities required of staff assigned to this position.
04/02/2026
Full time
Overview The Software Engineer in the Technology Innovation Department plays a pivotal role within the software engineering group, collaborating closely with the UX Research and Design, Content, Product and Program team members assigned to each program. Together, they strive to uphold software engineering excellence in civic technology, operating within the specific constraints of the MBTA. The Software Engineer is responsible for a wide variety of software engineering tasks primarily in Elixir and/or TypeScript. Engineering Capabilities Demonstrates strong fundamental coding abilities and knowledge Follows standard engineering division procedures, such as naming conventions, code reviews, writing documentation, testing software changes, writing tests, etc. Writes production quality software Works on front-end and back-end tasks as needed Able to execute any available engineering coding tasks assigned in a sprint Implement architecture best practices regularly Regularly assists others in achieving quality standards through reviews Make changes to pull requests based upon feedback from reviewers Execute development work at a good velocity. Diagnose ongoing application outages or disruptions May write root cause analysis and reports; may handle an urgent hotfix for their products Protects the data security and privacy of our organization and customers Has a basic understanding of logging, log querying, and software profiling Product Team Participation May function as a product manager for technical projects Provides estimates of sprint tasks May advise on near and long-term epic level estimates and may define the scope of an epic May perform defect or feasibility investigations May advise on business value of tech debt May participate in the on-call rotation, as a subject-matter expert for their product and/or the products of TID as a whole Surfaces defects or potential improvement in the sprint backlog Works collaboratively with product and design team members, especially when providing feedback and in sharing knowledge Consistently arrives on time and actively engages in team meetings, including sprint planning, backlog refinement, daily stand-ups, and retrospectives Proactive about moving, updating, and commenting on assigned tasks DevOps and Leadership Works on deployment, build and code analysis systems as needed May participate in interviews and evaluation of engineering candidates May serve as scrum master or a technical leader on a product engineering team Additional responsibilities may include a focus on one or more departments or locations. See applicable addendum for department or location-specific functions. Physical Demands and Working Conditions The physical demands and work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Available to work all shifts and locations as assigned or directed. Available to work as per assignment by the MBTA twenty-four (24) hours per day, seven (7) days per week as directed by supervisory staff for severe weather conditions, emergencies or any other circumstances that may potentially impact service or the safety of service. Have the ability to work any and all shifts and/or locations assigned or directed. Participate in on-call rotation of technology systems and services. Supervision None Minimum Education Bachelor degree from accredited institution Three (3) years of experience in software engineering practices, processes, and team operations. Demonstrated proficiency in at least two (2) programming languages Experience with automated testing, including continuous integration (CI) Experience with GitHub and GitHub workflows (such as pull requests) and code reviewing Ability to translate business requirements into technology Proven people management capabilities, including coaching, effective communication, and conflict resolution skills Strong communication skills Strong analytical thinking and debugging abilities Attention to detail Preferred Experience and Skills Experience in public sector, transportation agency, and/or civic technology team. Knowledge of transit data standards (such as GTFS, GTFS-RT, TODS, TIDES) Experience with Terraform / Infrastructure as Code tools Experience with AWS Job Conditions Adhere to rules, regulations, collective bargaining agreements (if applicable) and policies of the MBTA including the EEO, anti-discrimination, anti-harassment, and anti-retaliation policies. Ability to pass a Criminal Offender Record Information (CORI) check, background screening, and the MBTA's medical requirements, including a physical examination and drug and alcohol screening. Have a satisfactory work record for the two (2) years immediately prior to the closing date of this posting, including overall employment, job performance, discipline, and safety records (infractions and/or offenses occurring after the closing of the posting and before the filling of a vacancy may preclude a candidate from consideration for selection). The above statements are intended to describe the general nature and complexity of the work being performed by staff assigned to this job, and do not represent an exhaustive list of all duties, tasks, and responsibilities required of staff assigned to this position.
Solutions Architect - Oracle EPM (FCCS Focus)
McDonald's Chicago, Illinois
Job Description Company Description McDonald's growth strategy, Accelerating the Arches, encompasses all aspects of our business as the leading global omni channel restaurant brand. As the consumer landscape shifts we are using our competitive advantages to further strengthen our brand. One of our core growth strategies is to Double Down on the 3Ds (Delivery, Digital and Drive Thru). McDonald's will accelerate technology innovation so 65M+ customers a day will experience a fast, easy experience, whether at one of our 25,000 and growing Drive Thrus, through McDelivery, dine in or takeaway. McDonald's Global Technology is here to power tomorrow's feel good moments. That's why you'll find us at the forefront of transformative technology, exploring new and innovative ways to serve our millions of customers and spread happiness one delicious Hot Fudge Sundae dipped fry at a time. Using AI, robotics and emerging tech, we're digitizing the Golden Arches. Combine that with our unparalleled global scale, and we're reshaping all areas of the business, industry and every community that is home to a McDonald's restaurant. We face complex tech challenges every day. But that's where our diverse and talented teams come in. They're made up of the best and brightest from all over the globe, and they thrive in the space where feel good meets fast paced. Check out the McDonald's Global Technology Technical Blog () to learn how technology and our global team are directly enabling the Accelerating the Arches strategy. Role Overview This opportunity is part of the Global Technology Enterprise Products & Platforms (EPP) Team, focused on Enterprise Performance Management (EPM) solutions including Financial Planning and Analysis (FP&A), Financial Consolidation and Close, and Account Reconciliation product areas, where our vision is to "Always be a people led, product centric, forward thinking & trusted technology partner". The Solutions Architect role is responsible for designing and maintaining solutions blueprints for products and working with product engineering teams to implement solution design. This includes designing, configuring, and supporting implementation of innovative solutions that align with business objectives and technology strategy. This role will report to the Sr. Manager, Technical Product Management. Responsibilities & Accountabilities Solution Design and Architecture Work closely with stakeholders to understand their business objectives, challenges, and requirements Develop comprehensive architectural designs for technology solutions across multiple products that meet business requirements and integrate seamlessly with existing McDonald's systems and platforms Ensure solutions are scalable, secure, and resilient, in line with industry best practices and McDonald's standards, aiming to strike a balance between innovation and stability Create and maintain architectural documentation, including high level design and configuration documents, architecture diagrams and technical specifications Defines enterprise technical standards & ensures adherence Communicate these effectively to stakeholders, ensuring everyone understands the rationale behind architectural choices and their implications Plays pivotal role in design, development, testing and deployment of the overall solution. Experience working collaboratively in a predominantly supplier enabled, outsource technology delivery environment Provides guidance and necessary clarifications to the boundary and integration systems and works with boundary and integration systems to troubleshoot and mitigate any source/destination issues and requirements. Perform root cause analysis with team. Analyze patches and plan patch deployment activities Technology Strategy and Roadmap Collaborate with product leadership teams to define and evolve the technology strategy and roadmap for the technology suite Identify emerging technologies and trends towards enhancing McDonald's technology stack in the respective business area towards improving outcomes Provide guidance during evaluation and selection of new technologies, platforms and vendors Collaborate with Cross functional Teams Foster collaboration with product managers, development teams, operations, security, and business units towards ensuring alignment between architectural vision and product development efforts Engage in regular communication and alignment meetings to ensure everyone is on the same page and working towards common goals Implementation and Support Oversee the implementation of architectural solutions and provide hands on technical support and troubleshooting for complex issues, ensuring timeline resolution and minimal disruption to operations Governance and Compliance Establish and enforce frameworks, policies and standards to ensure compliance with regulatory requirements and McDonald's policies Identify potential risks and vulnerabilities in IT systems and propose mitigation strategies Work with cybersecurity experts to ensure that systems are resilient against cyber threats and comply with relevant regulations and standards Qualifications 8+ years of experience in solution architecture, with focus on large scale, global technology environments Bachelor's or Master's degree in Computer Science, Information Technology, or a related field Deep understanding of Oracle cloud EPM platforms and experience with cloud native architecture Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations Experience applying Product and Agile ways of working that includes best practices and lessons learned to standardize and refine ways of working Highly experienced working collaboratively with business partners and product teams to drive outcomes and solve complex technical challenges, across a complex, global matrixed organization setup Possess effective communication and interpersonal skills, with the ability to articulate complex technical concepts to non technical stakeholders Strong problem solving and innovation skills to identify, develop, and make improvements to techniques, procedures, services, or products Deep knowledge of Oracle Cloud EPM modules, including Planning, Budgeting, Consolidation, and Reporting Experience with EDM and/or ARCS applications Proficiency in SQL, data integration tools, and scripting languages Experience with Oracle Cloud infrastructure and integration capabilities Ability to provide thought leadership around EPM Best practices and industry trends to drive optimization and improve end user experience Evaluate project constraints to identify risks/gaps to the proposed technical solution Proficiency with ITIL and Agile frameworks and tools (e.g. JIRA and Confluence) Experience in creating and maintaining detailed technical documentation, including architecture diagrams, configuration guides, and user manuals Preferred Qualifications Certification in one or more Oracle EPM Cloud Products preferred Experienced implementing and managing IT General Controls (ITGC) to ensure SOX compliance Knowledge of Finance business processes and a clear understanding of finance best practices Foundational understanding/experience in security: security standards, SSO, SAML, OAUTH, etc. Understanding of Cloud architecture and EPM cloud security Experience in DevOps, Security and Systems Performance Experience with Workiva Experience with cybersecurity experts to ensure that systems are resilient against cyber threats and comply with relevant regulations and standards is desirable Compensation Bonus Eligible: YES Long Term Incentive: YES Benefits Eligible: YES Salary Range The expected salary range for this role is $127,332.00 - $159,165.00 per year. The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we may also consider your experience, and other job related factors. Additional Information Benefits eligible: This position offers health and welfare benefits, a 401(k) plan, adoption assistance program, educational assistance program, flexible ways of working, and time off policies (including sick leave, parental leave, and vacation/PTO). Eligibility requirements apply to some benefits and may depend on job classification and length of employment. Bonus eligible: This position is eligible for a bonus, based on individual and company performance. Long term Incentive eligible: This position is eligible for stock or other equity grants pursuant to McDonald's long term incentive plan. McDonald's is an equal opportunity employer committed to the diversity of our workforce. We promote an inclusive work environment that creates feel good moments for everyone. McDonald's provides reasonable accommodations to qualified individuals with disabilities as part of the application or hiring process or to perform the essential functions of their job. If you need assistance accessing or reading this job posting or otherwise feel you need an accommodation during the application or hiring process, please contact . Reasonable accommodations will be determined on a case by case basis. . click apply for full job details
04/02/2026
Full time
Job Description Company Description McDonald's growth strategy, Accelerating the Arches, encompasses all aspects of our business as the leading global omni channel restaurant brand. As the consumer landscape shifts we are using our competitive advantages to further strengthen our brand. One of our core growth strategies is to Double Down on the 3Ds (Delivery, Digital and Drive Thru). McDonald's will accelerate technology innovation so 65M+ customers a day will experience a fast, easy experience, whether at one of our 25,000 and growing Drive Thrus, through McDelivery, dine in or takeaway. McDonald's Global Technology is here to power tomorrow's feel good moments. That's why you'll find us at the forefront of transformative technology, exploring new and innovative ways to serve our millions of customers and spread happiness one delicious Hot Fudge Sundae dipped fry at a time. Using AI, robotics and emerging tech, we're digitizing the Golden Arches. Combine that with our unparalleled global scale, and we're reshaping all areas of the business, industry and every community that is home to a McDonald's restaurant. We face complex tech challenges every day. But that's where our diverse and talented teams come in. They're made up of the best and brightest from all over the globe, and they thrive in the space where feel good meets fast paced. Check out the McDonald's Global Technology Technical Blog () to learn how technology and our global team are directly enabling the Accelerating the Arches strategy. Role Overview This opportunity is part of the Global Technology Enterprise Products & Platforms (EPP) Team, focused on Enterprise Performance Management (EPM) solutions including Financial Planning and Analysis (FP&A), Financial Consolidation and Close, and Account Reconciliation product areas, where our vision is to "Always be a people led, product centric, forward thinking & trusted technology partner". The Solutions Architect role is responsible for designing and maintaining solutions blueprints for products and working with product engineering teams to implement solution design. This includes designing, configuring, and supporting implementation of innovative solutions that align with business objectives and technology strategy. This role will report to the Sr. Manager, Technical Product Management. Responsibilities & Accountabilities Solution Design and Architecture Work closely with stakeholders to understand their business objectives, challenges, and requirements Develop comprehensive architectural designs for technology solutions across multiple products that meet business requirements and integrate seamlessly with existing McDonald's systems and platforms Ensure solutions are scalable, secure, and resilient, in line with industry best practices and McDonald's standards, aiming to strike a balance between innovation and stability Create and maintain architectural documentation, including high level design and configuration documents, architecture diagrams and technical specifications Defines enterprise technical standards & ensures adherence Communicate these effectively to stakeholders, ensuring everyone understands the rationale behind architectural choices and their implications Plays pivotal role in design, development, testing and deployment of the overall solution. Experience working collaboratively in a predominantly supplier enabled, outsource technology delivery environment Provides guidance and necessary clarifications to the boundary and integration systems and works with boundary and integration systems to troubleshoot and mitigate any source/destination issues and requirements. Perform root cause analysis with team. Analyze patches and plan patch deployment activities Technology Strategy and Roadmap Collaborate with product leadership teams to define and evolve the technology strategy and roadmap for the technology suite Identify emerging technologies and trends towards enhancing McDonald's technology stack in the respective business area towards improving outcomes Provide guidance during evaluation and selection of new technologies, platforms and vendors Collaborate with Cross functional Teams Foster collaboration with product managers, development teams, operations, security, and business units towards ensuring alignment between architectural vision and product development efforts Engage in regular communication and alignment meetings to ensure everyone is on the same page and working towards common goals Implementation and Support Oversee the implementation of architectural solutions and provide hands on technical support and troubleshooting for complex issues, ensuring timeline resolution and minimal disruption to operations Governance and Compliance Establish and enforce frameworks, policies and standards to ensure compliance with regulatory requirements and McDonald's policies Identify potential risks and vulnerabilities in IT systems and propose mitigation strategies Work with cybersecurity experts to ensure that systems are resilient against cyber threats and comply with relevant regulations and standards Qualifications 8+ years of experience in solution architecture, with focus on large scale, global technology environments Bachelor's or Master's degree in Computer Science, Information Technology, or a related field Deep understanding of Oracle cloud EPM platforms and experience with cloud native architecture Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations Experience applying Product and Agile ways of working that includes best practices and lessons learned to standardize and refine ways of working Highly experienced working collaboratively with business partners and product teams to drive outcomes and solve complex technical challenges, across a complex, global matrixed organization setup Possess effective communication and interpersonal skills, with the ability to articulate complex technical concepts to non technical stakeholders Strong problem solving and innovation skills to identify, develop, and make improvements to techniques, procedures, services, or products Deep knowledge of Oracle Cloud EPM modules, including Planning, Budgeting, Consolidation, and Reporting Experience with EDM and/or ARCS applications Proficiency in SQL, data integration tools, and scripting languages Experience with Oracle Cloud infrastructure and integration capabilities Ability to provide thought leadership around EPM Best practices and industry trends to drive optimization and improve end user experience Evaluate project constraints to identify risks/gaps to the proposed technical solution Proficiency with ITIL and Agile frameworks and tools (e.g. JIRA and Confluence) Experience in creating and maintaining detailed technical documentation, including architecture diagrams, configuration guides, and user manuals Preferred Qualifications Certification in one or more Oracle EPM Cloud Products preferred Experienced implementing and managing IT General Controls (ITGC) to ensure SOX compliance Knowledge of Finance business processes and a clear understanding of finance best practices Foundational understanding/experience in security: security standards, SSO, SAML, OAUTH, etc. Understanding of Cloud architecture and EPM cloud security Experience in DevOps, Security and Systems Performance Experience with Workiva Experience with cybersecurity experts to ensure that systems are resilient against cyber threats and comply with relevant regulations and standards is desirable Compensation Bonus Eligible: YES Long Term Incentive: YES Benefits Eligible: YES Salary Range The expected salary range for this role is $127,332.00 - $159,165.00 per year. The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we may also consider your experience, and other job related factors. Additional Information Benefits eligible: This position offers health and welfare benefits, a 401(k) plan, adoption assistance program, educational assistance program, flexible ways of working, and time off policies (including sick leave, parental leave, and vacation/PTO). Eligibility requirements apply to some benefits and may depend on job classification and length of employment. Bonus eligible: This position is eligible for a bonus, based on individual and company performance. Long term Incentive eligible: This position is eligible for stock or other equity grants pursuant to McDonald's long term incentive plan. McDonald's is an equal opportunity employer committed to the diversity of our workforce. We promote an inclusive work environment that creates feel good moments for everyone. McDonald's provides reasonable accommodations to qualified individuals with disabilities as part of the application or hiring process or to perform the essential functions of their job. If you need assistance accessing or reading this job posting or otherwise feel you need an accommodation during the application or hiring process, please contact . Reasonable accommodations will be determined on a case by case basis. . click apply for full job details
Sr Principal Data Engineer
Autodesk San Francisco, California
Job Requisition ID # 26WD94931 Senior Principal Data Engineer Position Overview At Autodesk, we as Enterprise Data Engineering team are pivotal in driving business growth and improving operational efficiency through innovative data solutions and insights. We are seeking a Senior Principal Data Engineer with deep technical expertise and business domain knowledge in Go-To-Market (GTM) enterprise systems, sales, finance, and customer master data domains. In this role, you will report to the Director of Data Engineering in our Growth Experiences Technology (GET) organization. You'll lead the delivery of advanced data platform services, data architecture and data products through various data initiatives, working with a globally distributed, talented team to transform Autodesk's business processes. As we collaborate across departments, you'll partner closely with Product Managers in data and other GTM function domains to identify high impact use cases, build scalable data platform services, design innovative data products, and deliver actionable insights. Your role will be crucial in defining and optimizing Autodesk's approach for data-driven decision-making processes. What We're Looking For Technical and Business Expertise: Extensive experience in GTM enterprise systems, sales, finance, and customer data. Data platform, ETL tools, AI and ML tools and strategy etc. Leadership and Collaboration: Proven ability to lead global teams and work effectively across diverse groups. Passion for Innovation: A creative professional with a passion for transforming data into actionable business insights. At Autodesk, we empower you to shape the future and Make Anything possible. If you're driven by the power of data and excited to lead transformative initiatives, we invite you to join our team. Location: San Francisco, United States. Responsibilities Work with multiple scrum teams (each has 7-9 engineers), and act as a force multiplier by coaching, mentoring, and developing high-performing data engineering teams and individuals. Establish and uphold high standards for code quality, readability, and maintainability across multiple engineering teams. Quickly and confidently navigate large, unfamiliar codebases, making sound technical decisions in ambiguous or evolving environments. Own and drive the data engineering approach to data quality, including framework design, enforcement, and ongoing improvement. Lead engineering teams through complex production incidents and outages, driving effective triage, root cause analysis, and durable remediation. Guide teams toward mature, high-performing DataOps practices that improve reliability, observability, and delivery velocity. Apply deep expertise in SQL best practices, with an emphasis on performance optimization, readability, and long-term maintainability. Demonstrate strong understanding of conceptual, logical, and physical data modeling, and apply these principles effectively at enterprise scale. Solve complex, enterprise-scale data engineering challenges across GTM systems, balancing technical rigor with business impact. Define, standardize, and enforce testing frameworks and quality gates for data engineering workloads. Serve as a technical decision-maker for best practices, resolving tradeoffs and driving alignment across teams when standards or approaches are unclear. Business domain experience in subscription and consumption business models. Work closely with different stakeholders: Business owners, users, product managers, program managers, architects, engineering managers & developers, etc. to translate business needs and product requirements to well-documented engineering solutions. Constantly communicating updates to stakeholders and other partners with stakeholders in different phases in terms of requirements clarification, solution/planning review, status/progress sharing etc. Minimum Qualifications BS or higher in computer science or related technical discipline. 10+ years of hands-on software and data engineering development experiences in enterprise applications and systems. Excellent problem-solving and troubleshooting skills and make sound architectural decisions. Broader knowledge in software architecture concepts. Deep knowledge and experience with data architecture and data platform designs. Deep knowledge and experience in data modeling, entity relationship and query analysis optimization. Deep expertise in Python, Snowflake, SQL and DBT. Real hands on project experience with these skills is a must. Expert in using AWS. Real hands on project experience with these skills is a must. Experiences working or leading solution design for sale planning solution, account hierarchy solution and/or customer segmentation solution. Experiences designing and building data science and ML models for generating business insights from enterprise system data. Demonstration of strong sense of ownership and competence in driving broad consensus and alignment across teams and GEOs. Ability to design and implement complex enterprise system solutions independently, demonstrate ideas by POC rapidly. Fast learner and excellent team player, experienced in work with different disciplines, domains problems and teams. Excellent interpersonal, communication and presentation skills both verbally and written. Rich experience in mentoring and coaching other developers is a must. Deep knowledge and experience of working in Agile process is needed. Embrace changes and can work under pressure. Willing to take challenges and stretch comfortable zone with growth mindset. Preferred Qualifications Rich hands on and tech lead project experience in delivering GTM enterprise solutions for sales, finance and marketing organizations is a plus. Rich domains knowledge in GTM business models and process is a plus. Rich domains knowledge on data architecture and data model is preferred. Experience building and delivering Gen AI capabilities or solution is a strong plus. Deep knowledge and experience in data science and machine learning are preferred. About Autodesk Autodesk, Inc. (NASDAQ: ADSK) is at the forefront of innovation, creating software that empowers people to transform ideas into reality. As a global leader, our design and make software revolutionizes the architecture, engineering, construction, manufacturing, and media and entertainment industries. Whether it's crafting high-performance cars, constructing towering skyscrapers, developing cutting-edge smartphones, or producing blockbuster films, millions of creators rely on Autodesk products to turn their visions into tangible results. Our solutions enable you to shape the future and Make Anything possible. Embrace the future of making things with Autodesk, where groundbreaking changes in design, manufacturing, and usage are happening every day. Benefits From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting Salary transparency Salary is one part of Autodesk's competitive compensation package. For U.S.-based roles, we expect a starting base salary between $147,600 and $238,700. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Equal Employment Opportunity At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law. Diversity & Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site).
04/02/2026
Full time
Job Requisition ID # 26WD94931 Senior Principal Data Engineer Position Overview At Autodesk, we as Enterprise Data Engineering team are pivotal in driving business growth and improving operational efficiency through innovative data solutions and insights. We are seeking a Senior Principal Data Engineer with deep technical expertise and business domain knowledge in Go-To-Market (GTM) enterprise systems, sales, finance, and customer master data domains. In this role, you will report to the Director of Data Engineering in our Growth Experiences Technology (GET) organization. You'll lead the delivery of advanced data platform services, data architecture and data products through various data initiatives, working with a globally distributed, talented team to transform Autodesk's business processes. As we collaborate across departments, you'll partner closely with Product Managers in data and other GTM function domains to identify high impact use cases, build scalable data platform services, design innovative data products, and deliver actionable insights. Your role will be crucial in defining and optimizing Autodesk's approach for data-driven decision-making processes. What We're Looking For Technical and Business Expertise: Extensive experience in GTM enterprise systems, sales, finance, and customer data. Data platform, ETL tools, AI and ML tools and strategy etc. Leadership and Collaboration: Proven ability to lead global teams and work effectively across diverse groups. Passion for Innovation: A creative professional with a passion for transforming data into actionable business insights. At Autodesk, we empower you to shape the future and Make Anything possible. If you're driven by the power of data and excited to lead transformative initiatives, we invite you to join our team. Location: San Francisco, United States. Responsibilities Work with multiple scrum teams (each has 7-9 engineers), and act as a force multiplier by coaching, mentoring, and developing high-performing data engineering teams and individuals. Establish and uphold high standards for code quality, readability, and maintainability across multiple engineering teams. Quickly and confidently navigate large, unfamiliar codebases, making sound technical decisions in ambiguous or evolving environments. Own and drive the data engineering approach to data quality, including framework design, enforcement, and ongoing improvement. Lead engineering teams through complex production incidents and outages, driving effective triage, root cause analysis, and durable remediation. Guide teams toward mature, high-performing DataOps practices that improve reliability, observability, and delivery velocity. Apply deep expertise in SQL best practices, with an emphasis on performance optimization, readability, and long-term maintainability. Demonstrate strong understanding of conceptual, logical, and physical data modeling, and apply these principles effectively at enterprise scale. Solve complex, enterprise-scale data engineering challenges across GTM systems, balancing technical rigor with business impact. Define, standardize, and enforce testing frameworks and quality gates for data engineering workloads. Serve as a technical decision-maker for best practices, resolving tradeoffs and driving alignment across teams when standards or approaches are unclear. Business domain experience in subscription and consumption business models. Work closely with different stakeholders: Business owners, users, product managers, program managers, architects, engineering managers & developers, etc. to translate business needs and product requirements to well-documented engineering solutions. Constantly communicating updates to stakeholders and other partners with stakeholders in different phases in terms of requirements clarification, solution/planning review, status/progress sharing etc. Minimum Qualifications BS or higher in computer science or related technical discipline. 10+ years of hands-on software and data engineering development experiences in enterprise applications and systems. Excellent problem-solving and troubleshooting skills and make sound architectural decisions. Broader knowledge in software architecture concepts. Deep knowledge and experience with data architecture and data platform designs. Deep knowledge and experience in data modeling, entity relationship and query analysis optimization. Deep expertise in Python, Snowflake, SQL and DBT. Real hands on project experience with these skills is a must. Expert in using AWS. Real hands on project experience with these skills is a must. Experiences working or leading solution design for sale planning solution, account hierarchy solution and/or customer segmentation solution. Experiences designing and building data science and ML models for generating business insights from enterprise system data. Demonstration of strong sense of ownership and competence in driving broad consensus and alignment across teams and GEOs. Ability to design and implement complex enterprise system solutions independently, demonstrate ideas by POC rapidly. Fast learner and excellent team player, experienced in work with different disciplines, domains problems and teams. Excellent interpersonal, communication and presentation skills both verbally and written. Rich experience in mentoring and coaching other developers is a must. Deep knowledge and experience of working in Agile process is needed. Embrace changes and can work under pressure. Willing to take challenges and stretch comfortable zone with growth mindset. Preferred Qualifications Rich hands on and tech lead project experience in delivering GTM enterprise solutions for sales, finance and marketing organizations is a plus. Rich domains knowledge in GTM business models and process is a plus. Rich domains knowledge on data architecture and data model is preferred. Experience building and delivering Gen AI capabilities or solution is a strong plus. Deep knowledge and experience in data science and machine learning are preferred. About Autodesk Autodesk, Inc. (NASDAQ: ADSK) is at the forefront of innovation, creating software that empowers people to transform ideas into reality. As a global leader, our design and make software revolutionizes the architecture, engineering, construction, manufacturing, and media and entertainment industries. Whether it's crafting high-performance cars, constructing towering skyscrapers, developing cutting-edge smartphones, or producing blockbuster films, millions of creators rely on Autodesk products to turn their visions into tangible results. Our solutions enable you to shape the future and Make Anything possible. Embrace the future of making things with Autodesk, where groundbreaking changes in design, manufacturing, and usage are happening every day. Benefits From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting Salary transparency Salary is one part of Autodesk's competitive compensation package. For U.S.-based roles, we expect a starting base salary between $147,600 and $238,700. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Equal Employment Opportunity At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law. Diversity & Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site).
Amazon
Sr. Security Engineer, eero, eero Security
Amazon San Francisco, California
Sr. Security Engineer, eero, eero Security Amazon Location Los Angeles County, CA Overview At eero, our mission is to serve as the central nervous system of the home. We build products that customers love-from mesh routers to high performance wired networking devices-while ensuring the highest security standards. Key Job Responsibilities We are seeking a Senior Security Engineer to be embedded within the eero organization, providing security expertise and strategic guidance across our entire solutions ecosystem. In this role, you will partner closely with software development teams to ensure we maintain the highest security standards while delivering innovative services that protect millions of homes and businesses. You'll be integrated directly within eero's innovative culture, ensuring security is thoughtfully woven into every decision from initial design through deployment and beyond. Your day to day work may include analyzing application code for security vulnerabilities, building tools and frameworks that help developers work more securely and efficiently, or partnering with engineering teams to integrate security into new service architectures. You will conduct comprehensive security reviews and collaborate with product managers to balance security requirements with exceptional user experiences. Basic Qualifications Knowledge of at least two of the following programming languages: Scala, Java, Python, C/C++, or Go. 3+ years of any combination of threat modeling experience, secure coding, identity management and authentication, software development, cryptography, system administration and network security experience. 3+ years of any combination of application security frameworks, identity and access controls, incident response, mobile security, cloud computing and security, AI security, threat intelligence, and penetration testing experience. Bachelor's degree in computer science or equivalent, or 2+ years of IT Security experience. Comprehensive understanding of cloud and web security. Preferred Qualifications Experience developing and delivering security software tools. Experience working in identifying security issues and risks, and developing mitigation plans. Knowledge of network and web related protocols such as TCP/IP, UDP, IPSEC, HTTP, or equivalent. Experience in analyzing data to drive decisions. Experience with embedded systems or IoT device security. EEO Statement Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
04/02/2026
Full time
Sr. Security Engineer, eero, eero Security Amazon Location Los Angeles County, CA Overview At eero, our mission is to serve as the central nervous system of the home. We build products that customers love-from mesh routers to high performance wired networking devices-while ensuring the highest security standards. Key Job Responsibilities We are seeking a Senior Security Engineer to be embedded within the eero organization, providing security expertise and strategic guidance across our entire solutions ecosystem. In this role, you will partner closely with software development teams to ensure we maintain the highest security standards while delivering innovative services that protect millions of homes and businesses. You'll be integrated directly within eero's innovative culture, ensuring security is thoughtfully woven into every decision from initial design through deployment and beyond. Your day to day work may include analyzing application code for security vulnerabilities, building tools and frameworks that help developers work more securely and efficiently, or partnering with engineering teams to integrate security into new service architectures. You will conduct comprehensive security reviews and collaborate with product managers to balance security requirements with exceptional user experiences. Basic Qualifications Knowledge of at least two of the following programming languages: Scala, Java, Python, C/C++, or Go. 3+ years of any combination of threat modeling experience, secure coding, identity management and authentication, software development, cryptography, system administration and network security experience. 3+ years of any combination of application security frameworks, identity and access controls, incident response, mobile security, cloud computing and security, AI security, threat intelligence, and penetration testing experience. Bachelor's degree in computer science or equivalent, or 2+ years of IT Security experience. Comprehensive understanding of cloud and web security. Preferred Qualifications Experience developing and delivering security software tools. Experience working in identifying security issues and risks, and developing mitigation plans. Knowledge of network and web related protocols such as TCP/IP, UDP, IPSEC, HTTP, or equivalent. Experience in analyzing data to drive decisions. Experience with embedded systems or IoT device security. EEO Statement Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Sr Program Manager Tech - Gen AI
Uber San Francisco, California
About the Role At Uber, we reimagine the way the world moves for the better. There are several operations and technologies that enable this mission and Uber AI Solutions (aka Global Scaled Solutions) organization leads many of those capabilities such as data annotation for AI/ML innovation, app testing, localization/internationalization, map editing, data analytics, engineering and more. We combine technology and human intelligence optimally to run scaled programs. At Uber AI Solutions, we deliver high quality scaled programs in operations, technology and data analytics for various Uber businesses, leveraging our deep vendor partner network capabilities to carry out the program execution. We are also extending our impact and reach beyond Uber - our tech+ops solutions coupled with Uber's strength of building a platform for flexible work will enable enterprises world-wide to accelerate their data, AI and product journeys. While we do this, we look forward to creating flexible earnings opportunities through online tasks for millions of people across the world. Together, our tech, operations expertise and platform for knowledge work are uniquely positioned to be the best-in-class human in the loop solution for the industry. We are looking for an exceptional candidate to lead program delivery and client engagement in the domain of AI training and evaluations - specifically for coding/engineering, agentic AI, data analytics and related fields - in the Engineering Services team of Uber AI Solutions. This is an opportunity for the candidate to build and scale the customer mindshare and impact for coding and data use cases in AI training (for foundational LLMs, agentic AI etc) at Uber AI Solutions, and establish us as a leader in the data annotation and AI training marketplace. What the Candidate Will Do Client engagement for presales support - partner with Sales to interact with prospective clients (AI labs, foundation LLM companies, agentic AI companies, others) to shape the project scope, evangelise our capabilities, design the delivery solution, and governance approach. Demonstration of a deep understanding of this space during client engagement is a key requirement Client engagement for program delivery - represent the service delivery organization (located globally with a predominant India/offshore footprint) and collaborate with them in order to drive ongoing governance, enable troubleshooting, find up/cross sell opportunities, bring thought leadership with client teams Program delivery - help to manage US/onshore based delivery of annotation / training/ evaluation of AI/LLM/ML for coding and data areas, where required Innovation and thought leadership - demonstrate deep understanding and expertise of coding and data analytics related AI training/evals including agentic AI (e.g., opportunity identification, model performance benchmarking) with prospective clients; leverage this expertise to drive talent supply strategy, tech platform and tooling, and any other relevant new capabilities to advance the capability and maturity of this area Sourcing strategy and implementation inputs - collaborate with our Supply team to help source and develop worker pools in the US/onshore with technical expertise for coding and data related training/evals Tech platform capability and roadmap inputs - collaborate with our Product and Engineering teams to help develop a roadmap for tech and tooling required specific to coding and data analytics related tasking Stakeholder management - represent the coding and data AI capabilities at senior leadership level interactions and forums, evangelise our capabilities, drive sponsorship and backing for initiatives Best practices - continually improve ways of work, enhance delivery maturity, elevate governance and impact Basic Qualifications 7+ years of overall experience, with specific familiarity in software engineering, ML engineering, ML ops domains Familiarity and experience in leading or managing client interactions (i.e., AI labs, foundation LLM companies, agentic AI companies) for data annotation, training, evaluation, performance benchmarking in the area of coding and development for foundational AI/LLM/ML is required. Familiarity with the same for data analytics, ML, agentic AI disciplines additionally is a plus Experience in client facing service delivery management, solutioning, governance - with external client stakeholders at senior levels and/or their AI teams Familiarity with strategies for delivery and QC processes in this domain is required Track record of driving innovation and thought leadership in AI/ML/LLM training and evaluation services - e.g., via model benchmarking, opportunity identification based on emerging AI industry trends Strong ability to communicate, bring clarity of thought in messaging for senior management as well as broader teams Strong collaboration skills and abilities - working across silos and team structures to drive impact effectively Ability to work in a global organization across locations and time zones Preferred Qualifications Education in technical domains like engineering, STEM, business management Deep knowledge of AI domain - generative AI, agentic AI, LLMs, ML ops - with a curious bent of mind to keep updated on, and participate in, latest developments and research Strong business acumen, willingness to take smart risks and grow Ability to get hands on and go deep and be very detail oriented where needed, and zoom out to see and manage the big picture Sense of ownership - self starter who can take a charter and define goals, execute plans Good prioritization and time management skills For New York, NY based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year. For San Francisco, CA based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year. For Sunnyvale, CA based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form-
04/02/2026
Full time
About the Role At Uber, we reimagine the way the world moves for the better. There are several operations and technologies that enable this mission and Uber AI Solutions (aka Global Scaled Solutions) organization leads many of those capabilities such as data annotation for AI/ML innovation, app testing, localization/internationalization, map editing, data analytics, engineering and more. We combine technology and human intelligence optimally to run scaled programs. At Uber AI Solutions, we deliver high quality scaled programs in operations, technology and data analytics for various Uber businesses, leveraging our deep vendor partner network capabilities to carry out the program execution. We are also extending our impact and reach beyond Uber - our tech+ops solutions coupled with Uber's strength of building a platform for flexible work will enable enterprises world-wide to accelerate their data, AI and product journeys. While we do this, we look forward to creating flexible earnings opportunities through online tasks for millions of people across the world. Together, our tech, operations expertise and platform for knowledge work are uniquely positioned to be the best-in-class human in the loop solution for the industry. We are looking for an exceptional candidate to lead program delivery and client engagement in the domain of AI training and evaluations - specifically for coding/engineering, agentic AI, data analytics and related fields - in the Engineering Services team of Uber AI Solutions. This is an opportunity for the candidate to build and scale the customer mindshare and impact for coding and data use cases in AI training (for foundational LLMs, agentic AI etc) at Uber AI Solutions, and establish us as a leader in the data annotation and AI training marketplace. What the Candidate Will Do Client engagement for presales support - partner with Sales to interact with prospective clients (AI labs, foundation LLM companies, agentic AI companies, others) to shape the project scope, evangelise our capabilities, design the delivery solution, and governance approach. Demonstration of a deep understanding of this space during client engagement is a key requirement Client engagement for program delivery - represent the service delivery organization (located globally with a predominant India/offshore footprint) and collaborate with them in order to drive ongoing governance, enable troubleshooting, find up/cross sell opportunities, bring thought leadership with client teams Program delivery - help to manage US/onshore based delivery of annotation / training/ evaluation of AI/LLM/ML for coding and data areas, where required Innovation and thought leadership - demonstrate deep understanding and expertise of coding and data analytics related AI training/evals including agentic AI (e.g., opportunity identification, model performance benchmarking) with prospective clients; leverage this expertise to drive talent supply strategy, tech platform and tooling, and any other relevant new capabilities to advance the capability and maturity of this area Sourcing strategy and implementation inputs - collaborate with our Supply team to help source and develop worker pools in the US/onshore with technical expertise for coding and data related training/evals Tech platform capability and roadmap inputs - collaborate with our Product and Engineering teams to help develop a roadmap for tech and tooling required specific to coding and data analytics related tasking Stakeholder management - represent the coding and data AI capabilities at senior leadership level interactions and forums, evangelise our capabilities, drive sponsorship and backing for initiatives Best practices - continually improve ways of work, enhance delivery maturity, elevate governance and impact Basic Qualifications 7+ years of overall experience, with specific familiarity in software engineering, ML engineering, ML ops domains Familiarity and experience in leading or managing client interactions (i.e., AI labs, foundation LLM companies, agentic AI companies) for data annotation, training, evaluation, performance benchmarking in the area of coding and development for foundational AI/LLM/ML is required. Familiarity with the same for data analytics, ML, agentic AI disciplines additionally is a plus Experience in client facing service delivery management, solutioning, governance - with external client stakeholders at senior levels and/or their AI teams Familiarity with strategies for delivery and QC processes in this domain is required Track record of driving innovation and thought leadership in AI/ML/LLM training and evaluation services - e.g., via model benchmarking, opportunity identification based on emerging AI industry trends Strong ability to communicate, bring clarity of thought in messaging for senior management as well as broader teams Strong collaboration skills and abilities - working across silos and team structures to drive impact effectively Ability to work in a global organization across locations and time zones Preferred Qualifications Education in technical domains like engineering, STEM, business management Deep knowledge of AI domain - generative AI, agentic AI, LLMs, ML ops - with a curious bent of mind to keep updated on, and participate in, latest developments and research Strong business acumen, willingness to take smart risks and grow Ability to get hands on and go deep and be very detail oriented where needed, and zoom out to see and manage the big picture Sense of ownership - self starter who can take a charter and define goals, execute plans Good prioritization and time management skills For New York, NY based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year. For San Francisco, CA based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year. For Sunnyvale, CA based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form-
Sr Program Manager Tech - Gen AI
Uber Sunnyvale, California
About the Role At Uber, we reimagine the way the world moves for the better. There are several operations and technologies that enable this mission and Uber AI Solutions (aka Global Scaled Solutions) organization leads many of those capabilities such as data annotation for AI/ML innovation, app testing, localization/internationalization, map editing, data analytics, engineering and more. We combine technology and human intelligence optimally to run scaled programs. At Uber AI Solutions, we deliver high quality scaled programs in operations, technology and data analytics for various Uber businesses, leveraging our deep vendor partner network capabilities to carry out the program execution. We are also extending our impact and reach beyond Uber - our tech+ops solutions coupled with Uber's strength of building a platform for flexible work will enable enterprises world-wide to accelerate their data, AI and product journeys. While we do this, we look forward to creating flexible earnings opportunities through online tasks for millions of people across the world. Together, our tech, operations expertise and platform for knowledge work are uniquely positioned to be the best-in-class human in the loop solution for the industry. We are looking for an exceptional candidate to lead program delivery and client engagement in the domain of AI training and evaluations - specifically for coding/engineering, agentic AI, data analytics and related fields - in the Engineering Services team of Uber AI Solutions. This is an opportunity for the candidate to build and scale the customer mindshare and impact for coding and data use cases in AI training (for foundational LLMs, agentic AI etc) at Uber AI Solutions, and establish us as a leader in the data annotation and AI training marketplace. What the Candidate Will Do Client engagement for presales support - partner with Sales to interact with prospective clients (AI labs, foundation LLM companies, agentic AI companies, others) to shape the project scope, evangelise our capabilities, design the delivery solution, and governance approach. Demonstration of a deep understanding of this space during client engagement is a key requirement Client engagement for program delivery - represent the service delivery organization (located globally with a predominant India/offshore footprint) and collaborate with them in order to drive ongoing governance, enable troubleshooting, find up/cross sell opportunities, bring thought leadership with client teams Program delivery - help to manage US/onshore based delivery of annotation / training/ evaluation of AI/LLM/ML for coding and data areas, where required Innovation and thought leadership - demonstrate deep understanding and expertise of coding and data analytics related AI training/evals including agentic AI (e.g., opportunity identification, model performance benchmarking) with prospective clients; leverage this expertise to drive talent supply strategy, tech platform and tooling, and any other relevant new capabilities to advance the capability and maturity of this area Sourcing strategy and implementation inputs - collaborate with our Supply team to help source and develop worker pools in the US/onshore with technical expertise for coding and data related training/evals Tech platform capability and roadmap inputs - collaborate with our Product and Engineering teams to help develop a roadmap for tech and tooling required specific to coding and data analytics related tasking Stakeholder management - represent the coding and data AI capabilities at senior leadership level interactions and forums, evangelise our capabilities, drive sponsorship and backing for initiatives Best practices - continually improve ways of work, enhance delivery maturity, elevate governance and impact Basic Qualifications 7+ years of overall experience, with specific familiarity in software engineering, ML engineering, ML ops domains Familiarity and experience in leading or managing client interactions (i.e., AI labs, foundation LLM companies, agentic AI companies) for data annotation, training, evaluation, performance benchmarking in the area of coding and development for foundational AI/LLM/ML is required. Familiarity with the same for data analytics, ML, agentic AI disciplines additionally is a plus Experience in client facing service delivery management, solutioning, governance - with external client stakeholders at senior levels and/or their AI teams Familiarity with strategies for delivery and QC processes in this domain is required Track record of driving innovation and thought leadership in AI/ML/LLM training and evaluation services - e.g., via model benchmarking, opportunity identification based on emerging AI industry trends Strong ability to communicate, bring clarity of thought in messaging for senior management as well as broader teams Strong collaboration skills and abilities - working across silos and team structures to drive impact effectively Ability to work in a global organization across locations and time zones Preferred Qualifications Education in technical domains like engineering, STEM, business management Deep knowledge of AI domain - generative AI, agentic AI, LLMs, ML ops - with a curious bent of mind to keep updated on, and participate in, latest developments and research Strong business acumen, willingness to take smart risks and grow Ability to get hands on and go deep and be very detail oriented where needed, and zoom out to see and manage the big picture Sense of ownership - self starter who can take a charter and define goals, execute plans Good prioritization and time management skills For New York, NY based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year. For San Francisco, CA based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year. For Sunnyvale, CA based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form-
04/02/2026
Full time
About the Role At Uber, we reimagine the way the world moves for the better. There are several operations and technologies that enable this mission and Uber AI Solutions (aka Global Scaled Solutions) organization leads many of those capabilities such as data annotation for AI/ML innovation, app testing, localization/internationalization, map editing, data analytics, engineering and more. We combine technology and human intelligence optimally to run scaled programs. At Uber AI Solutions, we deliver high quality scaled programs in operations, technology and data analytics for various Uber businesses, leveraging our deep vendor partner network capabilities to carry out the program execution. We are also extending our impact and reach beyond Uber - our tech+ops solutions coupled with Uber's strength of building a platform for flexible work will enable enterprises world-wide to accelerate their data, AI and product journeys. While we do this, we look forward to creating flexible earnings opportunities through online tasks for millions of people across the world. Together, our tech, operations expertise and platform for knowledge work are uniquely positioned to be the best-in-class human in the loop solution for the industry. We are looking for an exceptional candidate to lead program delivery and client engagement in the domain of AI training and evaluations - specifically for coding/engineering, agentic AI, data analytics and related fields - in the Engineering Services team of Uber AI Solutions. This is an opportunity for the candidate to build and scale the customer mindshare and impact for coding and data use cases in AI training (for foundational LLMs, agentic AI etc) at Uber AI Solutions, and establish us as a leader in the data annotation and AI training marketplace. What the Candidate Will Do Client engagement for presales support - partner with Sales to interact with prospective clients (AI labs, foundation LLM companies, agentic AI companies, others) to shape the project scope, evangelise our capabilities, design the delivery solution, and governance approach. Demonstration of a deep understanding of this space during client engagement is a key requirement Client engagement for program delivery - represent the service delivery organization (located globally with a predominant India/offshore footprint) and collaborate with them in order to drive ongoing governance, enable troubleshooting, find up/cross sell opportunities, bring thought leadership with client teams Program delivery - help to manage US/onshore based delivery of annotation / training/ evaluation of AI/LLM/ML for coding and data areas, where required Innovation and thought leadership - demonstrate deep understanding and expertise of coding and data analytics related AI training/evals including agentic AI (e.g., opportunity identification, model performance benchmarking) with prospective clients; leverage this expertise to drive talent supply strategy, tech platform and tooling, and any other relevant new capabilities to advance the capability and maturity of this area Sourcing strategy and implementation inputs - collaborate with our Supply team to help source and develop worker pools in the US/onshore with technical expertise for coding and data related training/evals Tech platform capability and roadmap inputs - collaborate with our Product and Engineering teams to help develop a roadmap for tech and tooling required specific to coding and data analytics related tasking Stakeholder management - represent the coding and data AI capabilities at senior leadership level interactions and forums, evangelise our capabilities, drive sponsorship and backing for initiatives Best practices - continually improve ways of work, enhance delivery maturity, elevate governance and impact Basic Qualifications 7+ years of overall experience, with specific familiarity in software engineering, ML engineering, ML ops domains Familiarity and experience in leading or managing client interactions (i.e., AI labs, foundation LLM companies, agentic AI companies) for data annotation, training, evaluation, performance benchmarking in the area of coding and development for foundational AI/LLM/ML is required. Familiarity with the same for data analytics, ML, agentic AI disciplines additionally is a plus Experience in client facing service delivery management, solutioning, governance - with external client stakeholders at senior levels and/or their AI teams Familiarity with strategies for delivery and QC processes in this domain is required Track record of driving innovation and thought leadership in AI/ML/LLM training and evaluation services - e.g., via model benchmarking, opportunity identification based on emerging AI industry trends Strong ability to communicate, bring clarity of thought in messaging for senior management as well as broader teams Strong collaboration skills and abilities - working across silos and team structures to drive impact effectively Ability to work in a global organization across locations and time zones Preferred Qualifications Education in technical domains like engineering, STEM, business management Deep knowledge of AI domain - generative AI, agentic AI, LLMs, ML ops - with a curious bent of mind to keep updated on, and participate in, latest developments and research Strong business acumen, willingness to take smart risks and grow Ability to get hands on and go deep and be very detail oriented where needed, and zoom out to see and manage the big picture Sense of ownership - self starter who can take a charter and define goals, execute plans Good prioritization and time management skills For New York, NY based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year. For San Francisco, CA based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year. For Sunnyvale, CA based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form-
Sr Program Manager Tech - Gen AI
Uber New York, New York
About the Role At Uber, we reimagine the way the world moves for the better. There are several operations and technologies that enable this mission and Uber AI Solutions (aka Global Scaled Solutions) organization leads many of those capabilities such as data annotation for AI/ML innovation, app testing, localization/internationalization, map editing, data analytics, engineering and more. We combine technology and human intelligence optimally to run scaled programs. At Uber AI Solutions, we deliver high quality scaled programs in operations, technology and data analytics for various Uber businesses, leveraging our deep vendor partner network capabilities to carry out the program execution. We are also extending our impact and reach beyond Uber - our tech+ops solutions coupled with Uber's strength of building a platform for flexible work will enable enterprises world-wide to accelerate their data, AI and product journeys. While we do this, we look forward to creating flexible earnings opportunities through online tasks for millions of people across the world. Together, our tech, operations expertise and platform for knowledge work are uniquely positioned to be the best-in-class human in the loop solution for the industry. We are looking for an exceptional candidate to lead program delivery and client engagement in the domain of AI training and evaluations - specifically for coding/engineering, agentic AI, data analytics and related fields - in the Engineering Services team of Uber AI Solutions. This is an opportunity for the candidate to build and scale the customer mindshare and impact for coding and data use cases in AI training (for foundational LLMs, agentic AI etc) at Uber AI Solutions, and establish us as a leader in the data annotation and AI training marketplace. What the Candidate Will Do Client engagement for presales support - partner with Sales to interact with prospective clients (AI labs, foundation LLM companies, agentic AI companies, others) to shape the project scope, evangelise our capabilities, design the delivery solution, and governance approach. Demonstration of a deep understanding of this space during client engagement is a key requirement Client engagement for program delivery - represent the service delivery organization (located globally with a predominant India/offshore footprint) and collaborate with them in order to drive ongoing governance, enable troubleshooting, find up/cross sell opportunities, bring thought leadership with client teams Program delivery - help to manage US/onshore based delivery of annotation / training/ evaluation of AI/LLM/ML for coding and data areas, where required Innovation and thought leadership - demonstrate deep understanding and expertise of coding and data analytics related AI training/evals including agentic AI (e.g., opportunity identification, model performance benchmarking) with prospective clients; leverage this expertise to drive talent supply strategy, tech platform and tooling, and any other relevant new capabilities to advance the capability and maturity of this area Sourcing strategy and implementation inputs - collaborate with our Supply team to help source and develop worker pools in the US/onshore with technical expertise for coding and data related training/evals Tech platform capability and roadmap inputs - collaborate with our Product and Engineering teams to help develop a roadmap for tech and tooling required specific to coding and data analytics related tasking Stakeholder management - represent the coding and data AI capabilities at senior leadership level interactions and forums, evangelise our capabilities, drive sponsorship and backing for initiatives Best practices - continually improve ways of work, enhance delivery maturity, elevate governance and impact Basic Qualifications 7+ years of overall experience, with specific familiarity in software engineering, ML engineering, ML ops domains Familiarity and experience in leading or managing client interactions (i.e., AI labs, foundation LLM companies, agentic AI companies) for data annotation, training, evaluation, performance benchmarking in the area of coding and development for foundational AI/LLM/ML is required. Familiarity with the same for data analytics, ML, agentic AI disciplines additionally is a plus Experience in client facing service delivery management, solutioning, governance - with external client stakeholders at senior levels and/or their AI teams Familiarity with strategies for delivery and QC processes in this domain is required Track record of driving innovation and thought leadership in AI/ML/LLM training and evaluation services - e.g., via model benchmarking, opportunity identification based on emerging AI industry trends Strong ability to communicate, bring clarity of thought in messaging for senior management as well as broader teams Strong collaboration skills and abilities - working across silos and team structures to drive impact effectively Ability to work in a global organization across locations and time zones Preferred Qualifications Education in technical domains like engineering, STEM, business management Deep knowledge of AI domain - generative AI, agentic AI, LLMs, ML ops - with a curious bent of mind to keep updated on, and participate in, latest developments and research Strong business acumen, willingness to take smart risks and grow Ability to get hands on and go deep and be very detail oriented where needed, and zoom out to see and manage the big picture Sense of ownership - self starter who can take a charter and define goals, execute plans Good prioritization and time management skills For New York, NY based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year. For San Francisco, CA based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year. For Sunnyvale, CA based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form-
04/02/2026
Full time
About the Role At Uber, we reimagine the way the world moves for the better. There are several operations and technologies that enable this mission and Uber AI Solutions (aka Global Scaled Solutions) organization leads many of those capabilities such as data annotation for AI/ML innovation, app testing, localization/internationalization, map editing, data analytics, engineering and more. We combine technology and human intelligence optimally to run scaled programs. At Uber AI Solutions, we deliver high quality scaled programs in operations, technology and data analytics for various Uber businesses, leveraging our deep vendor partner network capabilities to carry out the program execution. We are also extending our impact and reach beyond Uber - our tech+ops solutions coupled with Uber's strength of building a platform for flexible work will enable enterprises world-wide to accelerate their data, AI and product journeys. While we do this, we look forward to creating flexible earnings opportunities through online tasks for millions of people across the world. Together, our tech, operations expertise and platform for knowledge work are uniquely positioned to be the best-in-class human in the loop solution for the industry. We are looking for an exceptional candidate to lead program delivery and client engagement in the domain of AI training and evaluations - specifically for coding/engineering, agentic AI, data analytics and related fields - in the Engineering Services team of Uber AI Solutions. This is an opportunity for the candidate to build and scale the customer mindshare and impact for coding and data use cases in AI training (for foundational LLMs, agentic AI etc) at Uber AI Solutions, and establish us as a leader in the data annotation and AI training marketplace. What the Candidate Will Do Client engagement for presales support - partner with Sales to interact with prospective clients (AI labs, foundation LLM companies, agentic AI companies, others) to shape the project scope, evangelise our capabilities, design the delivery solution, and governance approach. Demonstration of a deep understanding of this space during client engagement is a key requirement Client engagement for program delivery - represent the service delivery organization (located globally with a predominant India/offshore footprint) and collaborate with them in order to drive ongoing governance, enable troubleshooting, find up/cross sell opportunities, bring thought leadership with client teams Program delivery - help to manage US/onshore based delivery of annotation / training/ evaluation of AI/LLM/ML for coding and data areas, where required Innovation and thought leadership - demonstrate deep understanding and expertise of coding and data analytics related AI training/evals including agentic AI (e.g., opportunity identification, model performance benchmarking) with prospective clients; leverage this expertise to drive talent supply strategy, tech platform and tooling, and any other relevant new capabilities to advance the capability and maturity of this area Sourcing strategy and implementation inputs - collaborate with our Supply team to help source and develop worker pools in the US/onshore with technical expertise for coding and data related training/evals Tech platform capability and roadmap inputs - collaborate with our Product and Engineering teams to help develop a roadmap for tech and tooling required specific to coding and data analytics related tasking Stakeholder management - represent the coding and data AI capabilities at senior leadership level interactions and forums, evangelise our capabilities, drive sponsorship and backing for initiatives Best practices - continually improve ways of work, enhance delivery maturity, elevate governance and impact Basic Qualifications 7+ years of overall experience, with specific familiarity in software engineering, ML engineering, ML ops domains Familiarity and experience in leading or managing client interactions (i.e., AI labs, foundation LLM companies, agentic AI companies) for data annotation, training, evaluation, performance benchmarking in the area of coding and development for foundational AI/LLM/ML is required. Familiarity with the same for data analytics, ML, agentic AI disciplines additionally is a plus Experience in client facing service delivery management, solutioning, governance - with external client stakeholders at senior levels and/or their AI teams Familiarity with strategies for delivery and QC processes in this domain is required Track record of driving innovation and thought leadership in AI/ML/LLM training and evaluation services - e.g., via model benchmarking, opportunity identification based on emerging AI industry trends Strong ability to communicate, bring clarity of thought in messaging for senior management as well as broader teams Strong collaboration skills and abilities - working across silos and team structures to drive impact effectively Ability to work in a global organization across locations and time zones Preferred Qualifications Education in technical domains like engineering, STEM, business management Deep knowledge of AI domain - generative AI, agentic AI, LLMs, ML ops - with a curious bent of mind to keep updated on, and participate in, latest developments and research Strong business acumen, willingness to take smart risks and grow Ability to get hands on and go deep and be very detail oriented where needed, and zoom out to see and manage the big picture Sense of ownership - self starter who can take a charter and define goals, execute plans Good prioritization and time management skills For New York, NY based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year. For San Francisco, CA based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year. For Sunnyvale, CA based roles: The base salary range for this role is USD$162,000 per year - USD$180,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form-
Early Career Machine Learning Engineer
Jobright.ai San Francisco, California
21 hours ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. EvenUp is one of the fastest-growing generative AI startups in history, on a mission to level the playing field for personal injury victims. The role involves developing and deploying models for Piai, focusing on machine learning, natural language processing, and generative AI, while collaborating with a diverse team to improve justice outcomes for clients. Responsibilities Model research & prototyping - Explore, implement, and benchmark ML/NLP/generative-AI methods (e.g., LLM fine-tuning, retrieval-augmented generation, document understanding). Data preparation & feature engineering - Clean, annotate, and transform structured and unstructured case data; build reusable datasets and data loaders. Experimentation workflow - Design experiments, run A/B tests, analyze results, and communicate findings to the wider product and engineering teams. Productionization - Help integrate models into our microservices architecture; collaborate with MLOps engineers on packaging, testing, monitoring, and scaling. Cross-functional collaboration - Pair with product managers, legal analysts, and software engineers to translate pain points into ML solutions and measurable product improvements. Continuous learning - Stay current with research in LLMs, representation learning, and prompt engineering; share insights through internal talks and docs. Qualification Required Ph.D. or M.S. in Computer Science, Machine Learning, Data Science, Statistics, Computational Linguistics, or a closely related field Solid grounding in machine-learning fundamentals (supervised & unsupervised learning, evaluation metrics, overfitting/regularization) Hands-on experience with NLP or generative-AI techniques (e.g., transformers, embeddings, sequence-to-sequence models, LLMs) Proficiency in Python and ML/NLP libraries such as PyTorch, TensorFlow, Hugging Face, spaCy, or similar Familiarity with SQL and basic data-engineering concepts (ETL, versioned datasets, notebooks) Eagerness to learn from senior teammates and iterate quickly in a fast-moving startup Clear, concise communication-both written and verbal Strong analytical thinking and a bias toward shipping pragmatic, high-impact solutions Preferred exposure to cloud platforms (AWS/GCP) experiment-tracking tools (Weights & Biases, MLflow) Seniority level Seniority levelEntry level Employment type Employment typeFull-time Job function IndustriesSoftware Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for "Machine Learning Engineer" roles. San Francisco, CA $130,000.00-$230,000.00 5 months ago Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTube San Francisco, CA $140,000.00-$180,000.00 5 months ago San Francisco, CA $140,000.00-$160,000.00 5 months ago Machine Learning Engineer (I, II, or Sr.)Research Engineer - Machine Learning (ML) San Francisco, CA $140,000.00-$160,000.00 4 months ago San Francisco, CA $130,000.00-$238,000.00 2 hours ago San Francisco, CA $100,000.00-$180,000.00 1 year ago San Francisco, CA $150,000.00-$260,000.00 4 months ago San Francisco, CA $150,000.00-$250,000.00 3 weeks ago San Mateo, CA $140,000.00-$210,000.00 3 weeks ago San Francisco, CA $140,000.00-$290,000.00 7 months ago Machine Learning Engineer, GenAI Applied ML San Francisco, CA $176,000.00-$220,000.00 3 weeks ago San Francisco, CA $190,000.00-$355,000.00 2 weeks ago San Francisco, CA $100,000.00-$300,000.00 2 weeks ago Machine Learning Engineers (Open-Endedness) - Open Level San Francisco, CA $175,000.00-$225,000.00 8 months ago San Francisco, CA $200,000.00-$300,000.00 4 months ago San Francisco, CA $88,000.00-$140,000.00 3 weeks ago Machine Learning Engineer, Identity Product San Francisco, CA $160,000.00-$180,000.00 4 days ago San Francisco, CA $140,000.00-$200,000.00 6 days ago San Mateo, CA $195,000.00-$255,000.00 7 months ago San Francisco, CA $180,000.00-$270,000.00 3 months ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
04/02/2026
Full time
21 hours ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. EvenUp is one of the fastest-growing generative AI startups in history, on a mission to level the playing field for personal injury victims. The role involves developing and deploying models for Piai, focusing on machine learning, natural language processing, and generative AI, while collaborating with a diverse team to improve justice outcomes for clients. Responsibilities Model research & prototyping - Explore, implement, and benchmark ML/NLP/generative-AI methods (e.g., LLM fine-tuning, retrieval-augmented generation, document understanding). Data preparation & feature engineering - Clean, annotate, and transform structured and unstructured case data; build reusable datasets and data loaders. Experimentation workflow - Design experiments, run A/B tests, analyze results, and communicate findings to the wider product and engineering teams. Productionization - Help integrate models into our microservices architecture; collaborate with MLOps engineers on packaging, testing, monitoring, and scaling. Cross-functional collaboration - Pair with product managers, legal analysts, and software engineers to translate pain points into ML solutions and measurable product improvements. Continuous learning - Stay current with research in LLMs, representation learning, and prompt engineering; share insights through internal talks and docs. Qualification Required Ph.D. or M.S. in Computer Science, Machine Learning, Data Science, Statistics, Computational Linguistics, or a closely related field Solid grounding in machine-learning fundamentals (supervised & unsupervised learning, evaluation metrics, overfitting/regularization) Hands-on experience with NLP or generative-AI techniques (e.g., transformers, embeddings, sequence-to-sequence models, LLMs) Proficiency in Python and ML/NLP libraries such as PyTorch, TensorFlow, Hugging Face, spaCy, or similar Familiarity with SQL and basic data-engineering concepts (ETL, versioned datasets, notebooks) Eagerness to learn from senior teammates and iterate quickly in a fast-moving startup Clear, concise communication-both written and verbal Strong analytical thinking and a bias toward shipping pragmatic, high-impact solutions Preferred exposure to cloud platforms (AWS/GCP) experiment-tracking tools (Weights & Biases, MLflow) Seniority level Seniority levelEntry level Employment type Employment typeFull-time Job function IndustriesSoftware Development Referrals increase your chances of interviewing at Jobright.ai by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Get notified when a new job is posted. Sign in to set job alerts for "Machine Learning Engineer" roles. San Francisco, CA $130,000.00-$230,000.00 5 months ago Staff Software Engineer, AI/ML Recommendations, Rankings, Predictions, YouTube San Francisco, CA $140,000.00-$180,000.00 5 months ago San Francisco, CA $140,000.00-$160,000.00 5 months ago Machine Learning Engineer (I, II, or Sr.)Research Engineer - Machine Learning (ML) San Francisco, CA $140,000.00-$160,000.00 4 months ago San Francisco, CA $130,000.00-$238,000.00 2 hours ago San Francisco, CA $100,000.00-$180,000.00 1 year ago San Francisco, CA $150,000.00-$260,000.00 4 months ago San Francisco, CA $150,000.00-$250,000.00 3 weeks ago San Mateo, CA $140,000.00-$210,000.00 3 weeks ago San Francisco, CA $140,000.00-$290,000.00 7 months ago Machine Learning Engineer, GenAI Applied ML San Francisco, CA $176,000.00-$220,000.00 3 weeks ago San Francisco, CA $190,000.00-$355,000.00 2 weeks ago San Francisco, CA $100,000.00-$300,000.00 2 weeks ago Machine Learning Engineers (Open-Endedness) - Open Level San Francisco, CA $175,000.00-$225,000.00 8 months ago San Francisco, CA $200,000.00-$300,000.00 4 months ago San Francisco, CA $88,000.00-$140,000.00 3 weeks ago Machine Learning Engineer, Identity Product San Francisco, CA $160,000.00-$180,000.00 4 days ago San Francisco, CA $140,000.00-$200,000.00 6 days ago San Mateo, CA $195,000.00-$255,000.00 7 months ago San Francisco, CA $180,000.00-$270,000.00 3 months ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
Software Engineer- Data Engineering (Staff/ Sr Staff)
Equilibrium Energy San Francisco, California
Overview Equilibrium Energy is a team of technologists, power market experts, and AI pioneers reimagining how the world's most critical industry operates. We're building a first-of-its-kind AI operating system for the power sector, uniting cutting-edge science with real-world purpose to enable a cleaner, more resilient energy future. At EQ, you'll join a tight-knit group of brilliant, curious, and adventurous people who bring the same energy to collaboration as they do to innovation. Equilibrium Energy is a well-funded, Series B clean energy startup backed by prominent institutional investors in climate. New colleagues will share our vision that a next-generation energy company must be built from the ground up on deep industry expertise with a commitment to modern digital approaches. We are collaborative, talented, passionate, and resourceful, and we aim to lay the foundation for our important mission and ambitious plan. What we are looking for Equilibrium Energy is building the platform that will power the clean energy transition. As a Staff/ Sr Staff Software Engineer- Data Engineering, you will play a critical role in shaping our long-term data architecture. You'll lead the design and implementation of high-impact data initiatives that support energy trading, forecasting, and AI development. This is a hands-on role that blends platform engineering, advanced data processing, and cross-functional collaboration. You'll help scale our systems to enable near real-time decision-making and empower traders, data scientists, and operators to move faster with confidence. What you will do Design and implement the long-term data architecture using modern technologies and frameworks. Build and maintain scalable ETL/ELT pipelines in Python, SQL, and dbt-ingesting data via APIs, web scraping, and streaming sources. Develop and operate data pipelines using orchestration frameworks such as Temporal and Dagster. Design data models and schemas for our cloud warehouse (Databricks) and relational databases; contribute to the development of our ML feature store. Optimize workflows for performance and cost efficiency. Drive large, cross-functional data initiatives from planning to execution. Partner with AI and engineering teams to ensure high-quality datasets for machine learning and analytics. Collaborate with product managers, scientists, and engineers to gather requirements and deliver robust data products. Mentor other engineers in best practices for data ingestion, architecture, and scalable pipeline design. Support the software testing cycle, debug code, and resolve issues found during QA or user acceptance testing. Minimum qualifications Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field. 7+ years of progressive experience in data or software engineering. Advanced programming skills in Python and SQL. Experience building globally distributed data systems and real-time pipelines. Hands-on with orchestration/stream processing tools like Temporal, Dagster, Airflow, Spark, or Kafka. Strong knowledge of relational and NoSQL databases (e.g., Postgres, MySQL, MongoDB, ElasticSearch, Cassandra). Familiarity with data warehousing and cloud computing (Databricks and AWS preferred). Experience mentoring engineers and providing architectural direction. Strong analytical skills, with the ability to work with unstructured or ambiguous datasets. Commitment to data quality, testing, and observability. Experience with both OLTP and OLAP data processing systems. Nice to have additional skills Experience with energy market data or weather data sources (e.g., NWS, NOAA, Yes Energy). Experience using dbt for transformations and data quality checks. Collaborating with data science teams to build and productionize ML pipelines. Familiarity with DataOps practices and CI/CD for data workflows. Knowledge of real-time data technologies, graph databases, or unstructured data processing. Understanding of power systems, grid operations, or financial aspects of energy trading. Not sure this is the right role for you? We are a high growth company with accelerating hiring needs so there's a great chance we'll be able to create a custom role for you, now or in the future. All roles, titles and compensation packages are tailored to the applicant, so apply anyways and tell us in your cover letter about your dream role. What we offer Equilibrium is composed of deeply knowledgeable industry experts across all functions, with decades of experience in energy-specific commercial structuring, power systems engineering, machine learning, computational research, operations research, distributed and compute-intensive infrastructure, and modern software & ML engineering. We are now designing components better and in a holistic and novel way to achieve global scale and climate impact. We pride ourselves on our empathetic and collaborative culture, honest and direct but respectful communication, and a balanced, flexible, and remote-first work environment. Employee benefits include: Competitive base salary and a comprehensive medical, dental, vision, and 401k package Opportunity to own a significant piece of the company via a meaningful equity grant Unlimited vacation and flexible work schedule Accelerated professional growth and development opportunities through direct collaboration and mentorship from leading industry expert colleagues across energy and tech Equilibrium Energy is a diverse and inclusive, equal opportunity employer that does not discriminate on the basis of race, gender, nationality, sexual orientation, veteran status, disability, age, or other legally protected status.
04/02/2026
Full time
Overview Equilibrium Energy is a team of technologists, power market experts, and AI pioneers reimagining how the world's most critical industry operates. We're building a first-of-its-kind AI operating system for the power sector, uniting cutting-edge science with real-world purpose to enable a cleaner, more resilient energy future. At EQ, you'll join a tight-knit group of brilliant, curious, and adventurous people who bring the same energy to collaboration as they do to innovation. Equilibrium Energy is a well-funded, Series B clean energy startup backed by prominent institutional investors in climate. New colleagues will share our vision that a next-generation energy company must be built from the ground up on deep industry expertise with a commitment to modern digital approaches. We are collaborative, talented, passionate, and resourceful, and we aim to lay the foundation for our important mission and ambitious plan. What we are looking for Equilibrium Energy is building the platform that will power the clean energy transition. As a Staff/ Sr Staff Software Engineer- Data Engineering, you will play a critical role in shaping our long-term data architecture. You'll lead the design and implementation of high-impact data initiatives that support energy trading, forecasting, and AI development. This is a hands-on role that blends platform engineering, advanced data processing, and cross-functional collaboration. You'll help scale our systems to enable near real-time decision-making and empower traders, data scientists, and operators to move faster with confidence. What you will do Design and implement the long-term data architecture using modern technologies and frameworks. Build and maintain scalable ETL/ELT pipelines in Python, SQL, and dbt-ingesting data via APIs, web scraping, and streaming sources. Develop and operate data pipelines using orchestration frameworks such as Temporal and Dagster. Design data models and schemas for our cloud warehouse (Databricks) and relational databases; contribute to the development of our ML feature store. Optimize workflows for performance and cost efficiency. Drive large, cross-functional data initiatives from planning to execution. Partner with AI and engineering teams to ensure high-quality datasets for machine learning and analytics. Collaborate with product managers, scientists, and engineers to gather requirements and deliver robust data products. Mentor other engineers in best practices for data ingestion, architecture, and scalable pipeline design. Support the software testing cycle, debug code, and resolve issues found during QA or user acceptance testing. Minimum qualifications Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field. 7+ years of progressive experience in data or software engineering. Advanced programming skills in Python and SQL. Experience building globally distributed data systems and real-time pipelines. Hands-on with orchestration/stream processing tools like Temporal, Dagster, Airflow, Spark, or Kafka. Strong knowledge of relational and NoSQL databases (e.g., Postgres, MySQL, MongoDB, ElasticSearch, Cassandra). Familiarity with data warehousing and cloud computing (Databricks and AWS preferred). Experience mentoring engineers and providing architectural direction. Strong analytical skills, with the ability to work with unstructured or ambiguous datasets. Commitment to data quality, testing, and observability. Experience with both OLTP and OLAP data processing systems. Nice to have additional skills Experience with energy market data or weather data sources (e.g., NWS, NOAA, Yes Energy). Experience using dbt for transformations and data quality checks. Collaborating with data science teams to build and productionize ML pipelines. Familiarity with DataOps practices and CI/CD for data workflows. Knowledge of real-time data technologies, graph databases, or unstructured data processing. Understanding of power systems, grid operations, or financial aspects of energy trading. Not sure this is the right role for you? We are a high growth company with accelerating hiring needs so there's a great chance we'll be able to create a custom role for you, now or in the future. All roles, titles and compensation packages are tailored to the applicant, so apply anyways and tell us in your cover letter about your dream role. What we offer Equilibrium is composed of deeply knowledgeable industry experts across all functions, with decades of experience in energy-specific commercial structuring, power systems engineering, machine learning, computational research, operations research, distributed and compute-intensive infrastructure, and modern software & ML engineering. We are now designing components better and in a holistic and novel way to achieve global scale and climate impact. We pride ourselves on our empathetic and collaborative culture, honest and direct but respectful communication, and a balanced, flexible, and remote-first work environment. Employee benefits include: Competitive base salary and a comprehensive medical, dental, vision, and 401k package Opportunity to own a significant piece of the company via a meaningful equity grant Unlimited vacation and flexible work schedule Accelerated professional growth and development opportunities through direct collaboration and mentorship from leading industry expert colleagues across energy and tech Equilibrium Energy is a diverse and inclusive, equal opportunity employer that does not discriminate on the basis of race, gender, nationality, sexual orientation, veteran status, disability, age, or other legally protected status.
Senior Software Engineer, SRE
Abridge San Francisco, California
Senior Software Engineer, SRE Join to apply for the Senior Software Engineer, SRE role at Abridge. Base pay range $210,800.00/yr - $248,000.00/yr About Abridge Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most-their patients. Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems. We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The Role Abridge's services and engineering team are in hyperscale mode. We are looking for experienced SREs to join our team and help improve the performance, stability, and scalability of our software by multiples. This is a distributed systems oriented role and is approximately 80% software focused and 20% cloud infrastructure focused. You will help us build load testing and chaos engineering into our CI pipelines, leverage observability and profiling tools to identify performance bottlenecks and resolve them, work with diverse teams to help rehome their applications onto more scalable infrastructure, and ensure a smooth ride as we hyperscale our application adoption in the healthcare space. You may be embedded with other teams for weeks or months. The platform we are building needs to maximize both engineering velocity and security, will be under tremendous scale, and presents many opportunities to leverage creativity, autonomy, and leadership to take things 0 to 1. This is a unique opportunity in the industry to rapidly grow your career in a rapidly growing company leveraging the best of emerging technologies. What You'll Do Leverage load testing, chaos engineering, and other test practices to identify performance and latency bottlenecks across all of our systems, and make changes to application code to resolve them. Drive software changes that can rehome applications at the code level onto new infrastructure (run times, event driven infrastructure, databases, and more) in order to dramatically improve scalability as well as enable multi-tenant deployments. Identify and implement software configuration changes and performance tuning parameters that will dramatically improve performance and scalability. Build developer tools and software modules that help engineers build code faster and more effectively with more enablements to the entire engineering organization. Work with the Platform team to develop, and application teams to adopt, emerging elements of our internal developer platform, such as service templates and self-serve infrastructure. Work with application teams to establish and adopt SLOs and error budgets, and drive better metrics for application health that can drive automated canary releases, improved health monitoring, and better engineering practices. Uplevel our ability to respond to incidents by improving observability, runbooks, and incident response muscle across the organization. Evangelize, document, and train the engineering team on the solutions being built and uplevel them on cloud native design strategies and tools. Be a public evangelist for Abridge in the global platform engineering community, including conferences, open source, and research as we pioneer new AI-first cloud-native-first security-first implementations at scale. Who You Are 8+ years of software engineering experience focused on distributed systems or tooling, with an interest in engineering enablement and software scaling. At least 2 years experience as a back-end engineer focused on system performance and scalability. Experience reducing latency in software by multiples through leveraging observability and profiling tools and deriving great pleasure from doing so. Experience building on Kubernetes and scaling compute services on Kubernetes; experience with related cloud native technologies including ArgoCD, Argo Rollouts, Istio, etc. Comfortable implementing and securing services in Google Cloud Platform with Infrastructure as Code, including GCP Projects, VPC Networks, Google Kubernetes Engine, and IAM Roles, Groups and policies. Candidates without GCP experience but who have experience with Kubernetes are encouraged to apply. Experience building software with backend languages (e.g. Python, GoLang, Node, and Rust). Experience monitoring distributed systems with Prometheus, OpenTelemetry Collector, and Grafana (or something similar), including metrics collection, visualization, alerting, and using observability data to drive performance optimizations. Passion for engineering enablement and solving software and distributed systems scaling challenges under pressure. Must be willing to travel up to 10% Abridge typically hosts a three-day builder team retreat every 3-6 months. These retreats often feature internal hackathons, collaborative project sessions, and social events that allow the team to connect in person. Why Work at Abridge At Abridge, we're transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We're driving real, lasting change, with millions of medical conversations processed each month. Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership-every employee has the ability to (and is expected to) make an impact on our customers and our business. Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it's not just what we do-it's how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients. We're committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life. How we take care of Abridgers Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families. Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA. Paid Parental Leave: Generous paid parental leave for all full-time employees. Family Forming Benefits: Resources and financial support to help you build your family. 401(k) Matching: Contribution matching to help invest in your future. Personal Device Allowance: Tax free funds for personal device usage. Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits. Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more. Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals. Sabbatical Leave: Paid Sabbatical Leave after 5 years of employment. Compensation and Equity: Competitive compensation and equity grants for full time employees. and much more! Equal Opportunity Employer Abridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. Staying safe - Protect yourself from recruitment fraud We are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions.
04/02/2026
Full time
Senior Software Engineer, SRE Join to apply for the Senior Software Engineer, SRE role at Abridge. Base pay range $210,800.00/yr - $248,000.00/yr About Abridge Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most-their patients. Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems. We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The Role Abridge's services and engineering team are in hyperscale mode. We are looking for experienced SREs to join our team and help improve the performance, stability, and scalability of our software by multiples. This is a distributed systems oriented role and is approximately 80% software focused and 20% cloud infrastructure focused. You will help us build load testing and chaos engineering into our CI pipelines, leverage observability and profiling tools to identify performance bottlenecks and resolve them, work with diverse teams to help rehome their applications onto more scalable infrastructure, and ensure a smooth ride as we hyperscale our application adoption in the healthcare space. You may be embedded with other teams for weeks or months. The platform we are building needs to maximize both engineering velocity and security, will be under tremendous scale, and presents many opportunities to leverage creativity, autonomy, and leadership to take things 0 to 1. This is a unique opportunity in the industry to rapidly grow your career in a rapidly growing company leveraging the best of emerging technologies. What You'll Do Leverage load testing, chaos engineering, and other test practices to identify performance and latency bottlenecks across all of our systems, and make changes to application code to resolve them. Drive software changes that can rehome applications at the code level onto new infrastructure (run times, event driven infrastructure, databases, and more) in order to dramatically improve scalability as well as enable multi-tenant deployments. Identify and implement software configuration changes and performance tuning parameters that will dramatically improve performance and scalability. Build developer tools and software modules that help engineers build code faster and more effectively with more enablements to the entire engineering organization. Work with the Platform team to develop, and application teams to adopt, emerging elements of our internal developer platform, such as service templates and self-serve infrastructure. Work with application teams to establish and adopt SLOs and error budgets, and drive better metrics for application health that can drive automated canary releases, improved health monitoring, and better engineering practices. Uplevel our ability to respond to incidents by improving observability, runbooks, and incident response muscle across the organization. Evangelize, document, and train the engineering team on the solutions being built and uplevel them on cloud native design strategies and tools. Be a public evangelist for Abridge in the global platform engineering community, including conferences, open source, and research as we pioneer new AI-first cloud-native-first security-first implementations at scale. Who You Are 8+ years of software engineering experience focused on distributed systems or tooling, with an interest in engineering enablement and software scaling. At least 2 years experience as a back-end engineer focused on system performance and scalability. Experience reducing latency in software by multiples through leveraging observability and profiling tools and deriving great pleasure from doing so. Experience building on Kubernetes and scaling compute services on Kubernetes; experience with related cloud native technologies including ArgoCD, Argo Rollouts, Istio, etc. Comfortable implementing and securing services in Google Cloud Platform with Infrastructure as Code, including GCP Projects, VPC Networks, Google Kubernetes Engine, and IAM Roles, Groups and policies. Candidates without GCP experience but who have experience with Kubernetes are encouraged to apply. Experience building software with backend languages (e.g. Python, GoLang, Node, and Rust). Experience monitoring distributed systems with Prometheus, OpenTelemetry Collector, and Grafana (or something similar), including metrics collection, visualization, alerting, and using observability data to drive performance optimizations. Passion for engineering enablement and solving software and distributed systems scaling challenges under pressure. Must be willing to travel up to 10% Abridge typically hosts a three-day builder team retreat every 3-6 months. These retreats often feature internal hackathons, collaborative project sessions, and social events that allow the team to connect in person. Why Work at Abridge At Abridge, we're transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We're driving real, lasting change, with millions of medical conversations processed each month. Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership-every employee has the ability to (and is expected to) make an impact on our customers and our business. Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it's not just what we do-it's how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients. We're committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life. How we take care of Abridgers Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families. Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA. Paid Parental Leave: Generous paid parental leave for all full-time employees. Family Forming Benefits: Resources and financial support to help you build your family. 401(k) Matching: Contribution matching to help invest in your future. Personal Device Allowance: Tax free funds for personal device usage. Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits. Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more. Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals. Sabbatical Leave: Paid Sabbatical Leave after 5 years of employment. Compensation and Equity: Competitive compensation and equity grants for full time employees. and much more! Equal Opportunity Employer Abridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. Staying safe - Protect yourself from recruitment fraud We are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions.
Cloudforce One REACT Principal Consultant
CloudFlare Seattle, Washington
Cloudforce One REACT Principal Consultant Apply for the Cloudforce One REACT Principal Consultant role at Cloudflare. About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine's Top Company Cultures list and ranked among the World's Most Innovative Companies by Fast Company. About The Team Cloudforce One is Cloudflare's threat operations and research team, responsible for identifying and disrupting cyber threats ranging from sophisticated cyber criminal activity to nation state advanced persistent threats (APTs). Cloudforce One works in close partnership with external organizations and internal Cloudflare teams, continuously developing operational tradecraft and expanding ever growing sources of threat intelligence to enable expedited threat hunting and remediation. Members of Cloudforce One are at the helm of using a vast and varied set of data points that only one of the world's largest global networks can provide. The team is able to efficiently analyze these unique data points at scale, and synthesize findings into actionable threat intelligence to protect our customers. About The Role Cloudflare is a system spanning the globe, on a mission to make the internet safer and more powerful everyday. To help fulfill this mission, we are seeking a talented Senior Manager, Incident Response to join us in growing our Cloudforce One organization, where you will be instrumental in building a proactive and threat intelligence driven approach to protecting Cloudflare and its customers from sophisticated and evolving threat actors. This position requires an innovative, self starting, and detail oriented problem solver with a passion for analyzing, tracking, and triaging the malicious software used by cyber threat actors. As a REACT Consultant, you will respond to customer security incidents in on premises and cloud environments. You will detect and disrupt cyber threat activity across customer networks and cloud environments. You will engage with customers at all levels including Executive, VP, Director, and managerial levels. You will serve an integral role in the discovery and analysis of cyber threat intrusions, working alongside forensic analysts, threat researchers, detection engineers, and malware analysts to detect and mitigate malicious activity. The findings you uncover will help identify Tactics, Techniques, and Procedures (TTPs) of ongoing threat activity to protect your customer and the greater Cloudflare customer base. Our ideal candidate will have 1-2 years of previous experience in cybersecurity with at least 1+ years in Digital Forensics or Incident Response. Candidates will have experience with hands on forensic analysis in a Windows, Mac, and Linux environment. Ideally, this candidate will have experience triaging malware using static or dynamic analysis on Windows, macOS, or UNIX based platforms. You will be responsible correlating threat actor activity across the customer's environment. Outstanding candidates will possess excellent verbal and written communication skills. You will also have experience with incident response reports and reliably be able to write simple scripts in Python or Golang. Examples Of Desirable Skills, Knowledge And Experience Bachelor's degree in Computer Science, Information Systems, Cybersecurity, related technical field, or equivalent training/practical experience 3+ years of previous experience in cyber security 2+ years of Incident Response experience 1+ years of customer facing role Incident Response: experience conducting or managing incident response investigations for organizations, investigating targeted threats such as the Advanced Persistent Threat, Organized Crime, and Hacktivists Computer Forensic Analysis: a background using a variety of forensic analysis tools in incident response investigations to determine the extent and scope of compromise Network Forensic Analysis: strong knowledge of network protocols, network analysis tools like Bro/Zeek or Suricata, and ability to perform analysis of associated network logs Reverse Engineering: ability to understand the capabilities of static and dynamic malware analysis Incident Remediation: strong understanding of targeted attacks and able to create customized tactical and strategic remediation plans for compromised organizations Network Operations and Architecture/Engineering: strong understanding of secure network architecture and strong background in performing network operations Cloud Incident Response: knowledge in any of the following areas: AWS, Azure, GCP incident response methodologies Communications: strong ability to communicate executive and/or detailed level findings to clients; ability to effectively communicate tasks, guidance, and methodology with internal teams Strong written and verbal communication skills, with the ability to establish and maintain strong working relationships with business groups Technical knowledge of common network protocols and design patterns including TCP/IP, HTTPS, FTP, SFTP, SSH, RDP, CIFS/SMB, NFS Familiarity with various cloud environments (AWS, Azure, O365, Google, Cloudflare) Understanding of MITRE ATT&CK and NIST Cyber Security Frameworks standards and requirements In depth understanding of Windows operating systems and general knowledge of Unix, Linux, and Mac operating systems Bonus Points Proficient in Python or Golang, capable of writing modular code that can be installed on a remote system Proficient with Yara and writing rules to detect similar malware samples Understanding of source code, hex, binary, regular expression, data correlation, and analysis such as network flow and system logs Practical malware analysis experience with static, dynamic, and automated malware analysis techniques Possess mid level experience as a Malware Analyst able to reverse engineer various file formats and analyze complex malware samples Reverse engineering experience with APT malware with an understanding of common infection vectors Knowledgeable of current malware techniques to evade detection and obstruct analysis Experience writing malware reports on unique and interesting aspects of malware Experience with malware attribution Experience with tracking and identifying threats through Indicator of Compromise (IOCs) pivoting and infrastructure enumeration Familiarity with bash command line executables to conduct static analysis and investigate IOCs Travel Requirements Ability to travel up to 20% of the time Position may require foreign and domestic travel, passport will be required What Makes Cloudflare Special? We're not just a highly ambitious, large scale technology company. We're a highly ambitious, large scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare's enterprise customers-at no cost. Athenian Project In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy centric public DNS resolver. This is available publicly for everyone to use- it's the first consumer focused service Cloudflare has ever released. Here's the deal- we don't store client IP addresses ever, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Benefits Sound like something you'd like to be a part We'd love to hear from you! This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Equal Opportunity Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status . click apply for full job details
04/02/2026
Full time
Cloudforce One REACT Principal Consultant Apply for the Cloudforce One REACT Principal Consultant role at Cloudflare. About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine's Top Company Cultures list and ranked among the World's Most Innovative Companies by Fast Company. About The Team Cloudforce One is Cloudflare's threat operations and research team, responsible for identifying and disrupting cyber threats ranging from sophisticated cyber criminal activity to nation state advanced persistent threats (APTs). Cloudforce One works in close partnership with external organizations and internal Cloudflare teams, continuously developing operational tradecraft and expanding ever growing sources of threat intelligence to enable expedited threat hunting and remediation. Members of Cloudforce One are at the helm of using a vast and varied set of data points that only one of the world's largest global networks can provide. The team is able to efficiently analyze these unique data points at scale, and synthesize findings into actionable threat intelligence to protect our customers. About The Role Cloudflare is a system spanning the globe, on a mission to make the internet safer and more powerful everyday. To help fulfill this mission, we are seeking a talented Senior Manager, Incident Response to join us in growing our Cloudforce One organization, where you will be instrumental in building a proactive and threat intelligence driven approach to protecting Cloudflare and its customers from sophisticated and evolving threat actors. This position requires an innovative, self starting, and detail oriented problem solver with a passion for analyzing, tracking, and triaging the malicious software used by cyber threat actors. As a REACT Consultant, you will respond to customer security incidents in on premises and cloud environments. You will detect and disrupt cyber threat activity across customer networks and cloud environments. You will engage with customers at all levels including Executive, VP, Director, and managerial levels. You will serve an integral role in the discovery and analysis of cyber threat intrusions, working alongside forensic analysts, threat researchers, detection engineers, and malware analysts to detect and mitigate malicious activity. The findings you uncover will help identify Tactics, Techniques, and Procedures (TTPs) of ongoing threat activity to protect your customer and the greater Cloudflare customer base. Our ideal candidate will have 1-2 years of previous experience in cybersecurity with at least 1+ years in Digital Forensics or Incident Response. Candidates will have experience with hands on forensic analysis in a Windows, Mac, and Linux environment. Ideally, this candidate will have experience triaging malware using static or dynamic analysis on Windows, macOS, or UNIX based platforms. You will be responsible correlating threat actor activity across the customer's environment. Outstanding candidates will possess excellent verbal and written communication skills. You will also have experience with incident response reports and reliably be able to write simple scripts in Python or Golang. Examples Of Desirable Skills, Knowledge And Experience Bachelor's degree in Computer Science, Information Systems, Cybersecurity, related technical field, or equivalent training/practical experience 3+ years of previous experience in cyber security 2+ years of Incident Response experience 1+ years of customer facing role Incident Response: experience conducting or managing incident response investigations for organizations, investigating targeted threats such as the Advanced Persistent Threat, Organized Crime, and Hacktivists Computer Forensic Analysis: a background using a variety of forensic analysis tools in incident response investigations to determine the extent and scope of compromise Network Forensic Analysis: strong knowledge of network protocols, network analysis tools like Bro/Zeek or Suricata, and ability to perform analysis of associated network logs Reverse Engineering: ability to understand the capabilities of static and dynamic malware analysis Incident Remediation: strong understanding of targeted attacks and able to create customized tactical and strategic remediation plans for compromised organizations Network Operations and Architecture/Engineering: strong understanding of secure network architecture and strong background in performing network operations Cloud Incident Response: knowledge in any of the following areas: AWS, Azure, GCP incident response methodologies Communications: strong ability to communicate executive and/or detailed level findings to clients; ability to effectively communicate tasks, guidance, and methodology with internal teams Strong written and verbal communication skills, with the ability to establish and maintain strong working relationships with business groups Technical knowledge of common network protocols and design patterns including TCP/IP, HTTPS, FTP, SFTP, SSH, RDP, CIFS/SMB, NFS Familiarity with various cloud environments (AWS, Azure, O365, Google, Cloudflare) Understanding of MITRE ATT&CK and NIST Cyber Security Frameworks standards and requirements In depth understanding of Windows operating systems and general knowledge of Unix, Linux, and Mac operating systems Bonus Points Proficient in Python or Golang, capable of writing modular code that can be installed on a remote system Proficient with Yara and writing rules to detect similar malware samples Understanding of source code, hex, binary, regular expression, data correlation, and analysis such as network flow and system logs Practical malware analysis experience with static, dynamic, and automated malware analysis techniques Possess mid level experience as a Malware Analyst able to reverse engineer various file formats and analyze complex malware samples Reverse engineering experience with APT malware with an understanding of common infection vectors Knowledgeable of current malware techniques to evade detection and obstruct analysis Experience writing malware reports on unique and interesting aspects of malware Experience with malware attribution Experience with tracking and identifying threats through Indicator of Compromise (IOCs) pivoting and infrastructure enumeration Familiarity with bash command line executables to conduct static analysis and investigate IOCs Travel Requirements Ability to travel up to 20% of the time Position may require foreign and domestic travel, passport will be required What Makes Cloudflare Special? We're not just a highly ambitious, large scale technology company. We're a highly ambitious, large scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare's enterprise customers-at no cost. Athenian Project In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy centric public DNS resolver. This is available publicly for everyone to use- it's the first consumer focused service Cloudflare has ever released. Here's the deal- we don't store client IP addresses ever, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Benefits Sound like something you'd like to be a part We'd love to hear from you! This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Equal Opportunity Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status . click apply for full job details
Canonical
Software Engineering Manager - Desktop and Embedded Linux Optimisation
Canonical
Software Engineering Manager - Desktop and Embedded Linux Optimisation Join to apply for the Software Engineering Manager - Desktop and Embedded Linux Optimisation role at Canonical Continue with Google Continue with Google Software Engineering Manager - Desktop and Embedded Linux Optimisation 4 months ago Be among the first 25 applicants Join to apply for the Software Engineering Manager - Desktop and Embedded Linux Optimisation role at Canonical We work closely with major silicon companies to optimise Ubuntu for their latest hardware. As a software engineering manager you need to bring both technical and management skills to the leadership of your team. You will be leading an engineering team that works across the full Linux stack from kernel to GUI, to optimise Ubuntu, the world's most widely used Linux desktop and server, for the latest silicon. You will also represent the team in direct partner engagement as well as ensuring timely delivery on agreed project milestones. As an engineering manager at Canonical your primary responsibility is to the people you support: ensuring that they are growing as engineers, doing valuable work, and generally having a great time at Canonical. As a lead for strong engineers, technical leadership and a solid background in software development is a must, so that you're able to challenge and grow your team members. You will have the opportunity to influence the culture, facilitate technical delivery, and work with your team on strategy and execution. What you'll do Lead a team of distributed engineers to design and implement the best Ubuntu integration for the latest IoT and server-class hardware platforms and software stacks Engage with commercial partners to deliver a delightful, optimised, first class Ubuntu experience on their platforms Develop your team through coaching, mentoring, leading by example, and feedback Oversee commercial engagements and support timely delivery on agreed project milestones Ensure an ongoing commitment to strict quality and reliability standards Engage with other teams at Canonical to ensure alignment on product architecture and roadmaps Work from home with global travel up to twice a year for up to two weeks Who you are You have worked with Linux distributions, debian packaging and high performance, server-class hardware You have experience working directly with customers, resolving their technical issues, interpreting their business challenges and effectively communicating how your solution will meet their needs You have demonstrated experience managing or leading a team of software engineers You have understanding of agile software development methodologies You collaborate effectively across multiple internal teams, building trust and delivering results You have effective communications skills in English, both written and oral You have a bachelor's (or equivalent university level) degree, preferably in a technology field What Canonical offers Learning and Development opportunities Annual Compensation Review Recognition Rewards Annual Leave Priority Pass for travel We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity we will give your application fair consideration Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionEngineering and Information Technology IndustriesSoftware Development Referrals increase your chances of interviewing at Canonical by 2x Get notified about new Software Engineering Manager jobs in San Jose, CA . Mountain View, CA $200,000 - $225,000 1 week ago Mountain View, CA $185,200 - $274,300 1 day ago Mountain View, CA $185,200 - $274,300 1 day ago Mountain View, CA $185,200 - $274,400 2 days ago Director, Software Engineering, Servicing PlatformsSenior Engineering Manager, Continuous IntegrationDirector, Software Engineering, Servicing PlatformsDirector of Engineering, Sensor Quality (Remote)Senior Machine Learning Engineering Manager San Jose, CA $120,000.00 - $240,000.00 9 hours ago Sr. Development Manager, Software Engineering (REMOTE)Manager, Software Engineering (Card Platform)Manager, Software Engineering (Card Platform)Senior Machine Learning Engineering Manager Mountain View, CA $185,200.00 - $274,300.00 1 day ago Software Engineering Manager - Sustaining EngineeringSenior Machine Learning Engineering Manager Teamwork GraphManager, Software Engineering (Consumer Comms)Software Engineering Manager (Backend SaaS)Manager, Software Engineering (Consumer Comms) Pleasanton, CA $120,000 - $300,000 2 weeks ago Engineering Manager - Solutions EngineeringSoftware Engineering Manager in Test - InfrastructureSenior Manager, Software Engineering (Cloud Cost Management)Senior Manager, Software Engineering (Cloud Cost Management) We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
04/02/2026
Full time
Software Engineering Manager - Desktop and Embedded Linux Optimisation Join to apply for the Software Engineering Manager - Desktop and Embedded Linux Optimisation role at Canonical Continue with Google Continue with Google Software Engineering Manager - Desktop and Embedded Linux Optimisation 4 months ago Be among the first 25 applicants Join to apply for the Software Engineering Manager - Desktop and Embedded Linux Optimisation role at Canonical We work closely with major silicon companies to optimise Ubuntu for their latest hardware. As a software engineering manager you need to bring both technical and management skills to the leadership of your team. You will be leading an engineering team that works across the full Linux stack from kernel to GUI, to optimise Ubuntu, the world's most widely used Linux desktop and server, for the latest silicon. You will also represent the team in direct partner engagement as well as ensuring timely delivery on agreed project milestones. As an engineering manager at Canonical your primary responsibility is to the people you support: ensuring that they are growing as engineers, doing valuable work, and generally having a great time at Canonical. As a lead for strong engineers, technical leadership and a solid background in software development is a must, so that you're able to challenge and grow your team members. You will have the opportunity to influence the culture, facilitate technical delivery, and work with your team on strategy and execution. What you'll do Lead a team of distributed engineers to design and implement the best Ubuntu integration for the latest IoT and server-class hardware platforms and software stacks Engage with commercial partners to deliver a delightful, optimised, first class Ubuntu experience on their platforms Develop your team through coaching, mentoring, leading by example, and feedback Oversee commercial engagements and support timely delivery on agreed project milestones Ensure an ongoing commitment to strict quality and reliability standards Engage with other teams at Canonical to ensure alignment on product architecture and roadmaps Work from home with global travel up to twice a year for up to two weeks Who you are You have worked with Linux distributions, debian packaging and high performance, server-class hardware You have experience working directly with customers, resolving their technical issues, interpreting their business challenges and effectively communicating how your solution will meet their needs You have demonstrated experience managing or leading a team of software engineers You have understanding of agile software development methodologies You collaborate effectively across multiple internal teams, building trust and delivering results You have effective communications skills in English, both written and oral You have a bachelor's (or equivalent university level) degree, preferably in a technology field What Canonical offers Learning and Development opportunities Annual Compensation Review Recognition Rewards Annual Leave Priority Pass for travel We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity we will give your application fair consideration Seniority level Seniority levelMid-Senior level Employment type Employment typeFull-time Job function Job functionEngineering and Information Technology IndustriesSoftware Development Referrals increase your chances of interviewing at Canonical by 2x Get notified about new Software Engineering Manager jobs in San Jose, CA . Mountain View, CA $200,000 - $225,000 1 week ago Mountain View, CA $185,200 - $274,300 1 day ago Mountain View, CA $185,200 - $274,300 1 day ago Mountain View, CA $185,200 - $274,400 2 days ago Director, Software Engineering, Servicing PlatformsSenior Engineering Manager, Continuous IntegrationDirector, Software Engineering, Servicing PlatformsDirector of Engineering, Sensor Quality (Remote)Senior Machine Learning Engineering Manager San Jose, CA $120,000.00 - $240,000.00 9 hours ago Sr. Development Manager, Software Engineering (REMOTE)Manager, Software Engineering (Card Platform)Manager, Software Engineering (Card Platform)Senior Machine Learning Engineering Manager Mountain View, CA $185,200.00 - $274,300.00 1 day ago Software Engineering Manager - Sustaining EngineeringSenior Machine Learning Engineering Manager Teamwork GraphManager, Software Engineering (Consumer Comms)Software Engineering Manager (Backend SaaS)Manager, Software Engineering (Consumer Comms) Pleasanton, CA $120,000 - $300,000 2 weeks ago Engineering Manager - Solutions EngineeringSoftware Engineering Manager in Test - InfrastructureSenior Manager, Software Engineering (Cloud Cost Management)Senior Manager, Software Engineering (Cloud Cost Management) We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
Sr. Product Manager
Ericsson Washington, Washington DC
Overview About this opportunity: This position needs to be located in one of the following areas: Boise, Santa Clara, Plano, or EST preferred. Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, L-1 and TN. Ericsson also does not hire F-1's working on EAD for this position. Grow with us About this opportunity: This position needs to be located in one of the following areas: Boise, Santa Clara, Plano, or EST preferred. Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, L-1 and TN. Ericsson also does not hire F-1's working on EAD for this position. We are seeking an experienced and motivated Senior Product Manager to define and execute the product strategy for AI-driven solutions within our cloud management platform (NetCloud), with a focus on Private 5G and enterprise wireless use cases. This role is part of a team responsible for introducing and accelerating new technology adoption and delivering high-value capabilities that solve operational challenges for customers. Why Join Us? This is a high-impact, high-visibility role at the intersection of three transformative technologies today: AI, Cloud, and Wireless. You will have the opportunity to shape a growing product category and directly enable business transformation of top-tier global enterprises. What You Will Do Product Strategy & Vision: Define the strategic roadmap and product vision for leveraging AI/ML to enhance the management, orchestration, monitoring, and optimization of private 5G networks and other enterprise wireless/networking infrastructure within the cloud platform. Customer & Market Insight: Deeply understand the challenges faced by network operators, IT teams, and developers managing private 5G and enterprise edge infrastructure. Conduct competitive analysis and market research to identify opportunities for differentiation through AI. Feature Definition & Execution: Translate market needs and technical possibilities into detailed product requirements and acceptance criteria. Prioritize the backlog to maximize customer value and business impact. Go-to-Market (GTM) Strategy: Collaborate closely with Marketing, Sales, and Solutions Engineering to develop compelling messaging, sales enablement materials, and GTM plans for new AI-powered features. Cross-Functional Leadership: Serve as the product owner, working with Engineering, Data Science, UX/UI, Architecture, Compliance/Legal, and other teams to guide the entire product lifecycle from ideation to launch and iteration. Technical Translator: Act as the bridge between cutting-edge AI research/engineering and customer-facing product value, ensuring AI models and data pipelines are integrated into the product in a meaningful, scalable, cost-effective, and secure way. Business Performance: Define and track key performance indicators (KPIs) related to AI feature adoption, customer value, and overall product success. The Skills You Bring 5+ years of professional experience, with a minimum of 3+ years in a Product Management role defining and launching enterprise software or cloud services. Communication & Influence: Exceptional written and verbal communication skills, including the ability to articulate strategic vision cross-functionally, clarify technical nuance and implementation requirements with R&D, and translate technical concepts to a non-technical audience (executives, sales, customers). This is the single most important skill for this job. Please acknowledge this emphasis. Very strong communication skills are essential. Deep Expertise in Enterprise Networking/Wireless: Solid understanding of enterprise networking concepts, including experience with mobile wireless network infrastructure, RAN, Core, User Equipment (UE), routers, and switches. Specific experience with Private 5G or enterprise LTE is a significant plus. Experience with AI/ML Products: Proven track record of defining and launching products or features that rely on machine learning, predictive analytics, or large-scale data processing (e.g., AIOps, predictive maintenance, resource optimization). Cloud Platform Experience: Familiarity with major public cloud providers (AWS, Azure, GCP) or experience with large-scale cloud management or orchestration platforms (e.g., Kubernetes, OpenStack, cloud-native infrastructure). Technical Acumen: Ability to engage in detailed technical discussions with data scientists and engineers regarding model performance, data requirements, and deployment architectures. Education: Bachelor's degree, preferably in an area of technical competence (Computer Science, Engineering, Data Science, etc). An Advanced degree or MBA is a plus. Why join Ericsson? At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Ericsson uses a merit-based hiring approach that values people with different experiences, perspectives and skillsets. We truly believe this approach drives innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity employer, learn more. If you need assistance or to request an accommodation due to a disability, please contact Ericsson at . DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned. Primary country and city: United States (US) Boise (ID) (Country/ City) Job details: Product Portfolio Management Compensation And Benefits at Ericsson At Ericsson, we know that our people are the key to our success. We offer a competitive package to help with your individual needs and goals. Your Pay The salary range for this position is dependent on various factors including, but not limited to, location, and the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience. Santa Clara CA, New York, NJ, DC: $126,400-165,900. Your pay also includes the opportunity for an annual bonus. Actual bonus payouts are based on performance of the business against the unit's objectives, individual performance, and the individual bonus target. Certain eligibility and pro-ration rules apply. Your Health Ericsson Enterprise Wireless Solutions offers excellent, competitive employee benefits, such as: subsidized, nationwide PPO medical benefit options including a low-deductible Point of Service Plan and a qualifying High Deductible Health Plan (HDHP), with a generous company-provided HSA contribution. For California employees, we offer a subsidized HMO option through Kaiser. Ericsson Enterprise Wireless Solutions also offers subsidized dental and vision coverage. Your Financial Security We invest in both your short and long-term financial wellbeing. Our 401(k) plan has a 4% company match and immediate vesting. Employees will also receive company-paid employee basic life and AD&D insurance and company-paid disability benefits. Your Time Your work-life balance is important to us. New employees are provided a minimum of 15 days of accrued vacation, up to 3 personal days per year, 11 annual holidays, 8 hours of volunteer time, and 80 hours of sick time annually. Please note paid time off is pro-rated based on the employee's start date. Furthermore, Ericsson provides up to 16 weeks of paid maternity leave and 6 weeks of parental or adoption leave at 100% of pay. Additional Benefits Ericsson Enterprise Wireless Solutions offers other company-paid benefits such as a comprehensive Employee Assistance Program, mobile therapy, and volunteer paid time off.
04/02/2026
Full time
Overview About this opportunity: This position needs to be located in one of the following areas: Boise, Santa Clara, Plano, or EST preferred. Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, L-1 and TN. Ericsson also does not hire F-1's working on EAD for this position. Grow with us About this opportunity: This position needs to be located in one of the following areas: Boise, Santa Clara, Plano, or EST preferred. Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, L-1 and TN. Ericsson also does not hire F-1's working on EAD for this position. We are seeking an experienced and motivated Senior Product Manager to define and execute the product strategy for AI-driven solutions within our cloud management platform (NetCloud), with a focus on Private 5G and enterprise wireless use cases. This role is part of a team responsible for introducing and accelerating new technology adoption and delivering high-value capabilities that solve operational challenges for customers. Why Join Us? This is a high-impact, high-visibility role at the intersection of three transformative technologies today: AI, Cloud, and Wireless. You will have the opportunity to shape a growing product category and directly enable business transformation of top-tier global enterprises. What You Will Do Product Strategy & Vision: Define the strategic roadmap and product vision for leveraging AI/ML to enhance the management, orchestration, monitoring, and optimization of private 5G networks and other enterprise wireless/networking infrastructure within the cloud platform. Customer & Market Insight: Deeply understand the challenges faced by network operators, IT teams, and developers managing private 5G and enterprise edge infrastructure. Conduct competitive analysis and market research to identify opportunities for differentiation through AI. Feature Definition & Execution: Translate market needs and technical possibilities into detailed product requirements and acceptance criteria. Prioritize the backlog to maximize customer value and business impact. Go-to-Market (GTM) Strategy: Collaborate closely with Marketing, Sales, and Solutions Engineering to develop compelling messaging, sales enablement materials, and GTM plans for new AI-powered features. Cross-Functional Leadership: Serve as the product owner, working with Engineering, Data Science, UX/UI, Architecture, Compliance/Legal, and other teams to guide the entire product lifecycle from ideation to launch and iteration. Technical Translator: Act as the bridge between cutting-edge AI research/engineering and customer-facing product value, ensuring AI models and data pipelines are integrated into the product in a meaningful, scalable, cost-effective, and secure way. Business Performance: Define and track key performance indicators (KPIs) related to AI feature adoption, customer value, and overall product success. The Skills You Bring 5+ years of professional experience, with a minimum of 3+ years in a Product Management role defining and launching enterprise software or cloud services. Communication & Influence: Exceptional written and verbal communication skills, including the ability to articulate strategic vision cross-functionally, clarify technical nuance and implementation requirements with R&D, and translate technical concepts to a non-technical audience (executives, sales, customers). This is the single most important skill for this job. Please acknowledge this emphasis. Very strong communication skills are essential. Deep Expertise in Enterprise Networking/Wireless: Solid understanding of enterprise networking concepts, including experience with mobile wireless network infrastructure, RAN, Core, User Equipment (UE), routers, and switches. Specific experience with Private 5G or enterprise LTE is a significant plus. Experience with AI/ML Products: Proven track record of defining and launching products or features that rely on machine learning, predictive analytics, or large-scale data processing (e.g., AIOps, predictive maintenance, resource optimization). Cloud Platform Experience: Familiarity with major public cloud providers (AWS, Azure, GCP) or experience with large-scale cloud management or orchestration platforms (e.g., Kubernetes, OpenStack, cloud-native infrastructure). Technical Acumen: Ability to engage in detailed technical discussions with data scientists and engineers regarding model performance, data requirements, and deployment architectures. Education: Bachelor's degree, preferably in an area of technical competence (Computer Science, Engineering, Data Science, etc). An Advanced degree or MBA is a plus. Why join Ericsson? At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next. What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like. Ericsson uses a merit-based hiring approach that values people with different experiences, perspectives and skillsets. We truly believe this approach drives innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity employer, learn more. If you need assistance or to request an accommodation due to a disability, please contact Ericsson at . DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned. Primary country and city: United States (US) Boise (ID) (Country/ City) Job details: Product Portfolio Management Compensation And Benefits at Ericsson At Ericsson, we know that our people are the key to our success. We offer a competitive package to help with your individual needs and goals. Your Pay The salary range for this position is dependent on various factors including, but not limited to, location, and the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience. Santa Clara CA, New York, NJ, DC: $126,400-165,900. Your pay also includes the opportunity for an annual bonus. Actual bonus payouts are based on performance of the business against the unit's objectives, individual performance, and the individual bonus target. Certain eligibility and pro-ration rules apply. Your Health Ericsson Enterprise Wireless Solutions offers excellent, competitive employee benefits, such as: subsidized, nationwide PPO medical benefit options including a low-deductible Point of Service Plan and a qualifying High Deductible Health Plan (HDHP), with a generous company-provided HSA contribution. For California employees, we offer a subsidized HMO option through Kaiser. Ericsson Enterprise Wireless Solutions also offers subsidized dental and vision coverage. Your Financial Security We invest in both your short and long-term financial wellbeing. Our 401(k) plan has a 4% company match and immediate vesting. Employees will also receive company-paid employee basic life and AD&D insurance and company-paid disability benefits. Your Time Your work-life balance is important to us. New employees are provided a minimum of 15 days of accrued vacation, up to 3 personal days per year, 11 annual holidays, 8 hours of volunteer time, and 80 hours of sick time annually. Please note paid time off is pro-rated based on the employee's start date. Furthermore, Ericsson provides up to 16 weeks of paid maternity leave and 6 weeks of parental or adoption leave at 100% of pay. Additional Benefits Ericsson Enterprise Wireless Solutions offers other company-paid benefits such as a comprehensive Employee Assistance Program, mobile therapy, and volunteer paid time off.
Sr. Product Manager, Treatment Planning
Align Technology
Overview Join to apply for the Sr. Product Manager, Treatment Planning role at Align Technology. Department: Research & Development Location: US-California-San Jose Compensation: $134,900 - $185,500 / year Align Technology is a global medical device company that pioneered the invisible orthodontics market with the introduction of the Invisalign system in 1999. Today, we develop innovative, technology-rich products such as the Invisalign system of clear aligner treatments and the iTero scanner services to help dental professionals achieve the clinical results they expect. The Sr Product Manager, Treatment Planning will be responsible for leading Align's global Predictability Tx planning strategy, working closely to support the VP Treatment Planning and Visualization. They will drive and champion Align's next generation of predictability improvements in collaboration with clinical, research and operations teams. Responsibilities Be the primary person responsible to drive vision, roadmap, execution and adoption of Align's Predictability improvements Define customer profiling and segmentation and coordinate best-practice sharing and implementation through the regional teams With the VP Global Product Treatment Planning, develop a clear, consistent and compelling vision and roadmap for the Predictability vertical Spend time with business owners, external doctors and internal users Study and be familiar with competition and competitive products Define what it is we build based on insights, customer needs, industry trends and competitive landscape Draft high level technical architecture with the R&D team Interface with marketing, operations, IT and other functional groups Define technical product requirements and leads the technical product roadmap Groom backlog as product owner Represent business owners and customers Demands an aggressive timeline; act as agile product owner Aim to deliver deep, meaningful competitive products Help define User Acceptance Testing scenarios What We're Looking For This position reports directly to the VP, Treatment Planning and will be based in San Jose, California Experience & leadership in software product ideation, definition & management with at least 8 years of experience Comfort in managing matrix-organized teams Demonstrated mastery of software engineering and SDLC processes Experience with domain knowledge as appropriate: Orthodontics/Dentistry, 3D CAD/CAM, UI/UX/Usability, Web Services, etc. Enabler and coach of agile project management practices Deep understanding of computer science & data processing Strong technical and people leadership skills Team player with ability to explain technical issues to business users Ability to work with regional teams to drive product releases, utilization and insights Ability to rollout plans for products at a global level by working with internal teams and regions Make effective decisions under tight deadlines; use analysis, experience and process to reach conclusions Proven track record of delivering results Excellent presentation and oral communication skills Excellent leadership, management, collaboration, and interpersonal skills Education Bachelor or Masters or PhD in Sciences or Engineering 4+ years of Software Engineering experience 2+ years of Software Product Management Experience 2+ years of 3D CAD/CAM and/or Animation Systems and/or UI/UX/Usability and/or Web Services/Cloud 2+ years of Effective Mature Agile Project Management Knowledge of current evolution in Software Engineering & Technology areas related to Medical Devices, Treatment Simulation, 3D Data Representation, UI/UX Usability, etc. Proven experience with defining and managing customer expectations in development leadership roles is a plus Pay Transparency If provided, base salary or wage rate ranges are the range Align reasonably expects to set a candidate's pay for the posted position. Actual placement depends on the individual skills and experience level of a candidate plus total compensation and equity. For locations outside the primary location, the base salary range will be adjusted geographically. Applicant Privacy Policy Review our Applicant Privacy Policy for additional information. Equal Opportunity Statement Align Technology is an equal opportunity employer. We are committed to providing equal employment opportunities in all our practices, without regard to race, color, religion, sex, national origin, ancestry, marital status, protected veteran status, age, disability, sexual orientation, gender identity or expression, or any other legally protected category. Applicants must be legally authorized to work in the country for which they are applying, and employment eligibility will be verified as a condition of hire. Seniority level Mid-Senior level Employment type Full-time Job function Product Management and Marketing Industries Medical Equipment Manufacturing
04/02/2026
Full time
Overview Join to apply for the Sr. Product Manager, Treatment Planning role at Align Technology. Department: Research & Development Location: US-California-San Jose Compensation: $134,900 - $185,500 / year Align Technology is a global medical device company that pioneered the invisible orthodontics market with the introduction of the Invisalign system in 1999. Today, we develop innovative, technology-rich products such as the Invisalign system of clear aligner treatments and the iTero scanner services to help dental professionals achieve the clinical results they expect. The Sr Product Manager, Treatment Planning will be responsible for leading Align's global Predictability Tx planning strategy, working closely to support the VP Treatment Planning and Visualization. They will drive and champion Align's next generation of predictability improvements in collaboration with clinical, research and operations teams. Responsibilities Be the primary person responsible to drive vision, roadmap, execution and adoption of Align's Predictability improvements Define customer profiling and segmentation and coordinate best-practice sharing and implementation through the regional teams With the VP Global Product Treatment Planning, develop a clear, consistent and compelling vision and roadmap for the Predictability vertical Spend time with business owners, external doctors and internal users Study and be familiar with competition and competitive products Define what it is we build based on insights, customer needs, industry trends and competitive landscape Draft high level technical architecture with the R&D team Interface with marketing, operations, IT and other functional groups Define technical product requirements and leads the technical product roadmap Groom backlog as product owner Represent business owners and customers Demands an aggressive timeline; act as agile product owner Aim to deliver deep, meaningful competitive products Help define User Acceptance Testing scenarios What We're Looking For This position reports directly to the VP, Treatment Planning and will be based in San Jose, California Experience & leadership in software product ideation, definition & management with at least 8 years of experience Comfort in managing matrix-organized teams Demonstrated mastery of software engineering and SDLC processes Experience with domain knowledge as appropriate: Orthodontics/Dentistry, 3D CAD/CAM, UI/UX/Usability, Web Services, etc. Enabler and coach of agile project management practices Deep understanding of computer science & data processing Strong technical and people leadership skills Team player with ability to explain technical issues to business users Ability to work with regional teams to drive product releases, utilization and insights Ability to rollout plans for products at a global level by working with internal teams and regions Make effective decisions under tight deadlines; use analysis, experience and process to reach conclusions Proven track record of delivering results Excellent presentation and oral communication skills Excellent leadership, management, collaboration, and interpersonal skills Education Bachelor or Masters or PhD in Sciences or Engineering 4+ years of Software Engineering experience 2+ years of Software Product Management Experience 2+ years of 3D CAD/CAM and/or Animation Systems and/or UI/UX/Usability and/or Web Services/Cloud 2+ years of Effective Mature Agile Project Management Knowledge of current evolution in Software Engineering & Technology areas related to Medical Devices, Treatment Simulation, 3D Data Representation, UI/UX Usability, etc. Proven experience with defining and managing customer expectations in development leadership roles is a plus Pay Transparency If provided, base salary or wage rate ranges are the range Align reasonably expects to set a candidate's pay for the posted position. Actual placement depends on the individual skills and experience level of a candidate plus total compensation and equity. For locations outside the primary location, the base salary range will be adjusted geographically. Applicant Privacy Policy Review our Applicant Privacy Policy for additional information. Equal Opportunity Statement Align Technology is an equal opportunity employer. We are committed to providing equal employment opportunities in all our practices, without regard to race, color, religion, sex, national origin, ancestry, marital status, protected veteran status, age, disability, sexual orientation, gender identity or expression, or any other legally protected category. Applicants must be legally authorized to work in the country for which they are applying, and employment eligibility will be verified as a condition of hire. Seniority level Mid-Senior level Employment type Full-time Job function Product Management and Marketing Industries Medical Equipment Manufacturing

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