Job description: Company Join a global leader in power and thermal management solutions, celebrated for innovative approaches and advanced technologies. With a steadfast commitment to excellence, they distinguish themselves through pioneering energy-efficiency solutions and award-winning industrial automation technology. They continue to shape the future through: - Power and thermal management solutions - Microgrid solutions for data centers - Smart energy infrastructure for utility and residential applications - Advanced manufacturing automation and methods - Solar and battery farms A true game-changer in the industry where innovation meets opportunity. They Value and Appreciate Their Employees - Medical, Dental, and Vision Insurance with low out-of-pocket costs- 401(k) Retirement Plan with a 50% company match on contributions up to 10% of salary - Short-Term and Long-Term Disability Insurance for financial support during challenging times - Flexible Spending Accounts (FSA) for healthcare and dependent care - Employee Assistance Program (EAP) with unlimited phone sessions and in-person counseling - Professional Development Opportunities with training and education programs to advance your career Your Role with the Company In this Field Application Engineer (FAE) role you will drive the successful implementation of power and thermal products while understanding customer needs and applications. This role requires deep technical expertise and commercial judgment to achieve business outcomes, while building strong cross-functional relationships across Product Management, Sales, Engineering, and key external stakeholders. Youll be the on-site technical champion at customer locations, key accounts, and partner organizations delivering pre-sales demonstrations, design-in support, post-sales troubleshooting, and training. Success will rely on applying progressive project management practices, collaborating with global R&D, and approaching challenges with both curiosity and an entrepreneurial spirit. Highlights of Your Impact: - Provide technical and project leadership for named key accounts, serving as factory liaison - Deliver pre-sales applications support to expand adoption at strategic customers - Become the go-to technical expert, testing new product introductions and validating performance - Partner with R&D to close the loop on product issues, bugs, or improvement opportunities - Support sales with training, product launches, technical documentation, and industry trade shows - Develop customer-facing materials (application notes, presentations, success stories) to highlight solutions Community Information Based in Raleigh, North Carolina, youll find yourself in one of the fastest-growing innovation hubs in the U.S. The Research Triangle region is home to leading universities, a thriving tech corridor, and a strong manufacturing base. - Quality of Life: Affordable housing, low cost of living compared to other major tech centers, and a wide range of cultural and recreational options - Education: Excellent K-12 schools and proximity to Duke, UNC-Chapel Hill, and NC State - Lifestyle: Easy access to the Blue Ridge Mountains and Atlantic coast, with a vibrant dining, arts, and sports scene - Family-Friendly: Safe neighborhoods, diverse communities, and ample opportunities for outdoor activities year-round Qualifications: - B.S.E. in Electrical, Mechanical, or related engineering discipline - 5+ years related product or field application experience in power electronic products - Proven ability to translate customer needs into solutions and champion those solutions internally - Hands-on expertise with power electronics (AC/DC, DC/DC, DC/AC converters, chargers, motor drives) - Familiarity with thermal solutions (axial fans, EC fans, liquid cooling, solenoids, pumps) - Strong communication, presentation, and cross-functional collaboration skills - Market familiarity with industries including industrial logistics, energy, agriculture, medical, lighting, automation, food & beverage, off-road vehicles, CNC machines, packaging, oil & gas - Willingness to travel 2030% Key Competencies: - Deep technical understanding of power and thermal product applications - Strong commercial instincts to align technical efforts with business growth - Research, data analysis, planning, and strategic thinking skills - Initiative, accountability, and ownership of projects and outcomes - Highly motivated, self-starter, adaptable, and team-focused Why is This a Great Opportunity: They continue to shape the future through: - Power and thermal management solutions - Microgrid solutions for data centers - Smart energy infrastructure for utility and residential applications - Advanced manufacturing automation and methods - Solar and battery farms A true game-changer in the industry where innovation meets opportunity. Salary Type : Annual Salary Salary Min : $ 90000 Salary Max : $ 120000 Currency Type : USD
09/25/2026
Full time
Job description: Company Join a global leader in power and thermal management solutions, celebrated for innovative approaches and advanced technologies. With a steadfast commitment to excellence, they distinguish themselves through pioneering energy-efficiency solutions and award-winning industrial automation technology. They continue to shape the future through: - Power and thermal management solutions - Microgrid solutions for data centers - Smart energy infrastructure for utility and residential applications - Advanced manufacturing automation and methods - Solar and battery farms A true game-changer in the industry where innovation meets opportunity. They Value and Appreciate Their Employees - Medical, Dental, and Vision Insurance with low out-of-pocket costs- 401(k) Retirement Plan with a 50% company match on contributions up to 10% of salary - Short-Term and Long-Term Disability Insurance for financial support during challenging times - Flexible Spending Accounts (FSA) for healthcare and dependent care - Employee Assistance Program (EAP) with unlimited phone sessions and in-person counseling - Professional Development Opportunities with training and education programs to advance your career Your Role with the Company In this Field Application Engineer (FAE) role you will drive the successful implementation of power and thermal products while understanding customer needs and applications. This role requires deep technical expertise and commercial judgment to achieve business outcomes, while building strong cross-functional relationships across Product Management, Sales, Engineering, and key external stakeholders. Youll be the on-site technical champion at customer locations, key accounts, and partner organizations delivering pre-sales demonstrations, design-in support, post-sales troubleshooting, and training. Success will rely on applying progressive project management practices, collaborating with global R&D, and approaching challenges with both curiosity and an entrepreneurial spirit. Highlights of Your Impact: - Provide technical and project leadership for named key accounts, serving as factory liaison - Deliver pre-sales applications support to expand adoption at strategic customers - Become the go-to technical expert, testing new product introductions and validating performance - Partner with R&D to close the loop on product issues, bugs, or improvement opportunities - Support sales with training, product launches, technical documentation, and industry trade shows - Develop customer-facing materials (application notes, presentations, success stories) to highlight solutions Community Information Based in Raleigh, North Carolina, youll find yourself in one of the fastest-growing innovation hubs in the U.S. The Research Triangle region is home to leading universities, a thriving tech corridor, and a strong manufacturing base. - Quality of Life: Affordable housing, low cost of living compared to other major tech centers, and a wide range of cultural and recreational options - Education: Excellent K-12 schools and proximity to Duke, UNC-Chapel Hill, and NC State - Lifestyle: Easy access to the Blue Ridge Mountains and Atlantic coast, with a vibrant dining, arts, and sports scene - Family-Friendly: Safe neighborhoods, diverse communities, and ample opportunities for outdoor activities year-round Qualifications: - B.S.E. in Electrical, Mechanical, or related engineering discipline - 5+ years related product or field application experience in power electronic products - Proven ability to translate customer needs into solutions and champion those solutions internally - Hands-on expertise with power electronics (AC/DC, DC/DC, DC/AC converters, chargers, motor drives) - Familiarity with thermal solutions (axial fans, EC fans, liquid cooling, solenoids, pumps) - Strong communication, presentation, and cross-functional collaboration skills - Market familiarity with industries including industrial logistics, energy, agriculture, medical, lighting, automation, food & beverage, off-road vehicles, CNC machines, packaging, oil & gas - Willingness to travel 2030% Key Competencies: - Deep technical understanding of power and thermal product applications - Strong commercial instincts to align technical efforts with business growth - Research, data analysis, planning, and strategic thinking skills - Initiative, accountability, and ownership of projects and outcomes - Highly motivated, self-starter, adaptable, and team-focused Why is This a Great Opportunity: They continue to shape the future through: - Power and thermal management solutions - Microgrid solutions for data centers - Smart energy infrastructure for utility and residential applications - Advanced manufacturing automation and methods - Solar and battery farms A true game-changer in the industry where innovation meets opportunity. Salary Type : Annual Salary Salary Min : $ 90000 Salary Max : $ 120000 Currency Type : USD
Job description: The Company Join a global leader in power electronics, automation, and energy-efficient technologies committed to developing innovative solutions that support a more sustainable future. This is an opportunity to join a technically driven organization where youll work closely with sales, product management, engineering, customers, and global teams to deliver advanced servo and motion-control solutions. Why This Company Stands Out Work with advanced servo systems and power electronics in a customer-facing engineering role. Partner directly with OEM/ODM customers and influence projects early in the design cycle. Collaborate with product management, sales, engineering, and global factory teams. Gain exposure to applications across multiple industries and customer environments. Opportunity to shape customized applications and recommend new product solutions. Work with engineering and manufacturing teams across the U.S. and Asia. Strong opportunity for technical growth and expansion of product/application expertise. Approximately 20% travel, including occasional overnight and international travel. They Value and Appreciate Their Employees Our client believes talented engineers perform at their best when they're trusted with meaningful work and given the freedom to innovate. Employees enjoy a collaborative environment where technical ideas are encouraged, decisions happen quickly, and professional growth is supported. Your Role with the Company As a Field Application Engineer Servo Systems, you will serve as the technical product expert supporting servo and motion-control products across customers, sales teams, product management, and internal engineering organizations. You will work directly with customers to understand their technical requirements, troubleshoot application challenges, recommend appropriate solutions, and support projects from early design engagement through implementation. The role combines servo systems, power electronics, application engineering, customer support, technical training, and project coordination. Responsiblities Provide technical application support for servo systems and related products. Partner with sales teams to support key accounts and customer opportunities. Engage with OEM/ODM customers early in the design cycle to identify application requirements. Understand customer needs, ask the right technical questions, and translate requirements into practical solutions. Recommend appropriate servo, motion-control, and power-electronics solutions. Maintain strong technical expertise across assigned product lines and customized applications. Troubleshoot customer application and product issues and coordinate resolution with internal engineering teams. Support pre-sales and post-sales technical training and services. Develop and maintain product documentation, application information, and technical materials. Coordinate with product management, engineering, sales, and factory teams to ensure accurate project information and timely deliverables. Work closely with headquarters and manufacturing teams in Asia to track project development and implementation. Perform product testing, installation support, and application validation as required. Research market and application trends to identify emerging customer needs and potential product opportunities. Recommend new application-engineering solutions based on market and customer requirements. Identify project risks, communicate issues to the appropriate stakeholders, and drive resolution. Support continuous improvement of technical support processes and operational activities. Assist with global service, RMA, and factory initiatives. Manage multiple customer projects and technical activities simultaneously. Travel to customer and company locations as needed, approximately 20%. Community Information Raleigh offers an excellent combination of career opportunity, quality of life, and access to a thriving technology and engineering community. As the heart of the Research Triangle, Raleigh is surrounded by major universities, technology companies, advanced manufacturing organizations, and a growing ecosystem of engineering and automation firms. Qualifications: Must Have Bachelor's degree in Electrical Engineering or a related engineering discipline. 0 - 2 years of professional experience or deep understanding of control systems. Experience or a deep understanding of power electronics. Understanding of servo systems, motion control, robotics, or industrial applications. Ability to understand customer technical requirements and develop appropriate solutions. Strong troubleshooting and application-engineering skills. Ability to communicate effectively with customers, sales teams, engineers, and product managers. Strong organizational skills with the ability to manage multiple projects and priorities. Self-motivated and capable of working independently while collaborating with cross-functional teams. Strong technical aptitude and willingness to continuously expand product and application knowledge. Willingness and ability to travel approximately 20%, including overnight and international travel. Desired Field Application Engineering experience supporting servo or motion-control products. Degree in Robotics, EE, Power Electronics, or Controls Engineering Experience working directly with OEM/ODM customers and machine builders. Experience with industrial automation, motion control, drives, motors, or related technologies. Knowledge of industrial communication networks and motion-control protocols. Experience providing technical training to customers, distributors, or internal teams. Experience working with global engineering or manufacturing teams. Familiarity with product testing, commissioning, installation, and application validation. Experience identifying market trends and translating customer requirements into product recommendations. Strong presentation skills and proficiency with Microsoft Office. Experience with RMA, service, or factory-support processes. Mandarin Chinese bilingual skills are a plus. Why is This a Great Opportunity: Our client believes talented engineers perform at their best when they're trusted with meaningful work and given the freedom to innovate. Employees enjoy a collaborative environment where technical ideas are encouraged, decisions happen quickly, and professional growth is supported. Salary Type : Annual Salary Salary Min : $ 90000 Salary Max : $ 120000 Currency Type : USD
09/25/2026
Full time
Job description: The Company Join a global leader in power electronics, automation, and energy-efficient technologies committed to developing innovative solutions that support a more sustainable future. This is an opportunity to join a technically driven organization where youll work closely with sales, product management, engineering, customers, and global teams to deliver advanced servo and motion-control solutions. Why This Company Stands Out Work with advanced servo systems and power electronics in a customer-facing engineering role. Partner directly with OEM/ODM customers and influence projects early in the design cycle. Collaborate with product management, sales, engineering, and global factory teams. Gain exposure to applications across multiple industries and customer environments. Opportunity to shape customized applications and recommend new product solutions. Work with engineering and manufacturing teams across the U.S. and Asia. Strong opportunity for technical growth and expansion of product/application expertise. Approximately 20% travel, including occasional overnight and international travel. They Value and Appreciate Their Employees Our client believes talented engineers perform at their best when they're trusted with meaningful work and given the freedom to innovate. Employees enjoy a collaborative environment where technical ideas are encouraged, decisions happen quickly, and professional growth is supported. Your Role with the Company As a Field Application Engineer Servo Systems, you will serve as the technical product expert supporting servo and motion-control products across customers, sales teams, product management, and internal engineering organizations. You will work directly with customers to understand their technical requirements, troubleshoot application challenges, recommend appropriate solutions, and support projects from early design engagement through implementation. The role combines servo systems, power electronics, application engineering, customer support, technical training, and project coordination. Responsiblities Provide technical application support for servo systems and related products. Partner with sales teams to support key accounts and customer opportunities. Engage with OEM/ODM customers early in the design cycle to identify application requirements. Understand customer needs, ask the right technical questions, and translate requirements into practical solutions. Recommend appropriate servo, motion-control, and power-electronics solutions. Maintain strong technical expertise across assigned product lines and customized applications. Troubleshoot customer application and product issues and coordinate resolution with internal engineering teams. Support pre-sales and post-sales technical training and services. Develop and maintain product documentation, application information, and technical materials. Coordinate with product management, engineering, sales, and factory teams to ensure accurate project information and timely deliverables. Work closely with headquarters and manufacturing teams in Asia to track project development and implementation. Perform product testing, installation support, and application validation as required. Research market and application trends to identify emerging customer needs and potential product opportunities. Recommend new application-engineering solutions based on market and customer requirements. Identify project risks, communicate issues to the appropriate stakeholders, and drive resolution. Support continuous improvement of technical support processes and operational activities. Assist with global service, RMA, and factory initiatives. Manage multiple customer projects and technical activities simultaneously. Travel to customer and company locations as needed, approximately 20%. Community Information Raleigh offers an excellent combination of career opportunity, quality of life, and access to a thriving technology and engineering community. As the heart of the Research Triangle, Raleigh is surrounded by major universities, technology companies, advanced manufacturing organizations, and a growing ecosystem of engineering and automation firms. Qualifications: Must Have Bachelor's degree in Electrical Engineering or a related engineering discipline. 0 - 2 years of professional experience or deep understanding of control systems. Experience or a deep understanding of power electronics. Understanding of servo systems, motion control, robotics, or industrial applications. Ability to understand customer technical requirements and develop appropriate solutions. Strong troubleshooting and application-engineering skills. Ability to communicate effectively with customers, sales teams, engineers, and product managers. Strong organizational skills with the ability to manage multiple projects and priorities. Self-motivated and capable of working independently while collaborating with cross-functional teams. Strong technical aptitude and willingness to continuously expand product and application knowledge. Willingness and ability to travel approximately 20%, including overnight and international travel. Desired Field Application Engineering experience supporting servo or motion-control products. Degree in Robotics, EE, Power Electronics, or Controls Engineering Experience working directly with OEM/ODM customers and machine builders. Experience with industrial automation, motion control, drives, motors, or related technologies. Knowledge of industrial communication networks and motion-control protocols. Experience providing technical training to customers, distributors, or internal teams. Experience working with global engineering or manufacturing teams. Familiarity with product testing, commissioning, installation, and application validation. Experience identifying market trends and translating customer requirements into product recommendations. Strong presentation skills and proficiency with Microsoft Office. Experience with RMA, service, or factory-support processes. Mandarin Chinese bilingual skills are a plus. Why is This a Great Opportunity: Our client believes talented engineers perform at their best when they're trusted with meaningful work and given the freedom to innovate. Employees enjoy a collaborative environment where technical ideas are encouraged, decisions happen quickly, and professional growth is supported. Salary Type : Annual Salary Salary Min : $ 90000 Salary Max : $ 120000 Currency Type : USD
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Visa's Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you'll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. Join the Commercial and Money Movement Solutions (CMS) organization as a Senior Staff Engineer focused on leveraging AI to solve complex engineering and customer challenges. You will work on innovative solutions that combine deep technical expertise with AI/ML capabilities to enhance developer productivity, improve customer experiences, and drive next-generation commercial payment and money movement technology for B2B, B2C, P2P, and G2C flows. The Work itself: Design and architect AI-powered solutions that solve engineering productivity challenges and enhance customer-facing products across CMS Lead technical initiatives leveraging agentic AI, LLMs, and machine learning to automate workflows and improve software quality Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings Drive experimentation with emerging AI technologies and make technical decisions on adoption and standards Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions. Develop scalable platforms and services that integrate AI capabilities into Visa's commercial payment and money movement systems Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities Essential Functions: Works directly with product owners to gather and refine requirements across products, adding and taking into account existing tools and solutions across the organization. Develops and designs advanced architect solutions that are robust and scalable, integrating AI capabilities with Visa's technical ecosystem Provides domain expertise on the development of technical documentation of solutions and contributes to standard processes in technical documentation as needed. Plays a key role in the development and delivery of new features across products from end-to-end. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD • Master's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum six (6) years of experience in a directly related field OR Bachelor's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum eight (8) years of experience in a directly related field OR Minimum eleven (11) years of directly related experience • Experience with AI agent frameworks, LLMs, or generative AI applications (Claude, GPT, etc.) • Knowledge of AI-powered development tools (Claude Code, GitHub Copilot, etc.) or building similar systems • Experience applying AI to solve engineering challenges or customer-facing product features • Understanding of commercial payments, money movement, B2B payables, or payment processing • Experience with cloud platforms (AWS, Azure, GCP) and modern architectures • Knowledge of API design, microservices, and distributed systems • Experience leading cross-team technical initiatives The Skills You Bring • Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale • AI Expertise: Experience with agentic AI, LLMs, AI agent frameworks, or machine learning applications • Challenge the Status Quo: Comfort in pushing the boundaries, 'hacking' beyond traditional solutions • Language Expertise: Expertise in one or more general development languages (e.g., Java, C#, C++) • Architecture & Design: Proven track record designing scalable systems that integrate AI capabilities • Builder: Experience building AI-powered features for engineering productivity or customer-facing applications • Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc. • Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams • We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn't work with payments technology or web applications before joining Visa. Information for US Applicants For roles located in the US, the estimated salary range for this position is $169,100.00 to $ 270,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/25/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Visa's Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you'll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. Join the Commercial and Money Movement Solutions (CMS) organization as a Senior Staff Engineer focused on leveraging AI to solve complex engineering and customer challenges. You will work on innovative solutions that combine deep technical expertise with AI/ML capabilities to enhance developer productivity, improve customer experiences, and drive next-generation commercial payment and money movement technology for B2B, B2C, P2P, and G2C flows. The Work itself: Design and architect AI-powered solutions that solve engineering productivity challenges and enhance customer-facing products across CMS Lead technical initiatives leveraging agentic AI, LLMs, and machine learning to automate workflows and improve software quality Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings Drive experimentation with emerging AI technologies and make technical decisions on adoption and standards Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions. Develop scalable platforms and services that integrate AI capabilities into Visa's commercial payment and money movement systems Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities Essential Functions: Works directly with product owners to gather and refine requirements across products, adding and taking into account existing tools and solutions across the organization. Develops and designs advanced architect solutions that are robust and scalable, integrating AI capabilities with Visa's technical ecosystem Provides domain expertise on the development of technical documentation of solutions and contributes to standard processes in technical documentation as needed. Plays a key role in the development and delivery of new features across products from end-to-end. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD • Master's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum six (6) years of experience in a directly related field OR Bachelor's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum eight (8) years of experience in a directly related field OR Minimum eleven (11) years of directly related experience • Experience with AI agent frameworks, LLMs, or generative AI applications (Claude, GPT, etc.) • Knowledge of AI-powered development tools (Claude Code, GitHub Copilot, etc.) or building similar systems • Experience applying AI to solve engineering challenges or customer-facing product features • Understanding of commercial payments, money movement, B2B payables, or payment processing • Experience with cloud platforms (AWS, Azure, GCP) and modern architectures • Knowledge of API design, microservices, and distributed systems • Experience leading cross-team technical initiatives The Skills You Bring • Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale • AI Expertise: Experience with agentic AI, LLMs, AI agent frameworks, or machine learning applications • Challenge the Status Quo: Comfort in pushing the boundaries, 'hacking' beyond traditional solutions • Language Expertise: Expertise in one or more general development languages (e.g., Java, C#, C++) • Architecture & Design: Proven track record designing scalable systems that integrate AI capabilities • Builder: Experience building AI-powered features for engineering productivity or customer-facing applications • Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc. • Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams • We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn't work with payments technology or web applications before joining Visa. Information for US Applicants For roles located in the US, the estimated salary range for this position is $169,100.00 to $ 270,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
About GreenPath GreenPath Financial Wellness is a national nonprofit organization dedicated to empowering people to lead financially healthy lives. We provide counseling, education, and innovative solutions to help individuals and families achieve their financial goals. Our mission-driven culture values collaboration, integrity, and continuous improvement. Position Purpose The Business Analyst serves as a critical liaison between business stakeholders, Product Management, data teams, and IT delivery teams. This role is responsible for leading requirements gathering and analysis across both IT application and data initiatives, ensuring business needs are translated into clear, actionable specifications for system creation, enhancements, data solutions, reporting, and analytics. The Business Analyst partners closely with Product Managers, Product Owners and stakeholders to drive high-quality, user-centered solutions that align with organizational strategy and deliver measurable business value. Main Responsibilities & Duties Business & Requirements Analysis Elicit, analyze, and document clear functional and non functional requirements by partnering closely with Product Managers, Product Owners, business stakeholders and technical stakeholders Ask appropriate curiosity questions to uncover implicit needs (e.g., performance, security, scalability, usability, compliance) to resolve ambiguity and translate complex business problems into precise, testable requirements that reduce rework and drive high quality delivery. Translate needs into clear specifications, including requirements documents, user stories, acceptance criteria, and process diagrams. Identify requirements interdependencies and, as appropriate, work with the Product Owner, Scrum Master and/or technical team to determine development order. Document data lineage, transformations, and calculations in application requirements. Data & Analytics Requirements Analysis Lead requirements gathering for data initiatives, including reports, dashboards, visualizations, and analytics solutions. Lead the effort to document and control project scope and gather stakeholder signoff on scope and requirements Analyze and document source data structures, data transformations, and data warehouse mappings. Perform data discovery and validation to ensure reporting and analytics solutions meet business requirements. Create and maintain enterprise data assets such as data catalogs, data dictionaries, and data flow diagrams. Contribute to enterprise data strategy in collaboration with Data Engineers, Product Owners, and Data Analysts. Solution Delivery & Collaboration Work closely with Developers, Data Engineers, and Infrastructure teams to ensure shared understanding of requirements and solution design. Incorporate usability, user experience, and human-centered design principles into solution definition. Support agile delivery teams by maintaining backlogs, refining user stories, and providing ongoing clarification during development. Testing, Release & Change Enablement Contribute to user acceptance testing (UAT), including test case creation, execution support, and defect triage. Support release activities and deployments. Assist with training, documentation, and communication to support adoption of delivered solutions. Continuous Improvement & Innovation Leverage AI and automation tools to improve efficiency in creating requirements, user stories, and test artifacts. Participate in brainstorming and discovery sessions related to data trends, data quality, process improvement, and innovation. Promote continuous improvement, quality outcomes, and stakeholder satisfaction. Perform other duties as assigned. Professional Knowledge, Skills & Abilities Bachelor's degree in Information Technology, Business, or a related field, or equivalent experience. 3-5 years of experience as a business analyst, including requirements gathering for application development, data, reporting, or analytics initiatives. GreenPath experience may be substituted. Experience writing clear business and technical requirements and test specifications preferred. Experience with Agile methodologies (Scrum, Kanban) preferred. Experience using tools and/or writing requirements for salesforce or PowerBI strongly preferred. Familiarity with tools such as Azure DevOps, Vizio, Drawio, Figma, Mural, CoPilot preferred. Experience documenting requirements for data projects involving SQL, Power BI, and relational or dimensional data models preferred. Familiarity or eagerness to learn data warehousing, operational reporting, and business intelligence concepts. Experience in financial services or call center environments preferred. Qualities & Characteristics Strong analytical and problem-solving skills with high attention to detail. Demonstrated agility in critical thinking and proactive inquiry to gain deeper understanding. Ability to understand complex business processes and technical concepts. Self-motivated, dependable, and able to manage multiple priorities. Committed to quality, continuous improvement, and delivering value on time and within scope. Communication Skills Excellent written, verbal, and interpersonal communication skills. Ability to translate complex technical concepts into clear, business-friendly language and vice versa. Skilled facilitator of meetings and workshops that drive alignment and actionable outcomes. Strong collaborator who builds effective relationships across business and technical teams. Working Conditions & Physical Requirements This position is primarily sedentary, desk-based work. On an infrequent basis, after hours/weekend work to assist with releases or project deadlines is necessary. Travel is less than 5%. Benefits At GreenPath, we offer a comprehensive benefits package designed to support your well-being and professional growth: Competitive salary and performance-based incentives Health, dental, and vision insurance 403(b) retirement plan with employer contributions Generous paid time off and holidays Tuition reimbursement and professional development opportunities Mission-driven work environment focused on making a positive impact Equal Employment Opportunity Statement GreenPath is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
09/25/2026
Full time
About GreenPath GreenPath Financial Wellness is a national nonprofit organization dedicated to empowering people to lead financially healthy lives. We provide counseling, education, and innovative solutions to help individuals and families achieve their financial goals. Our mission-driven culture values collaboration, integrity, and continuous improvement. Position Purpose The Business Analyst serves as a critical liaison between business stakeholders, Product Management, data teams, and IT delivery teams. This role is responsible for leading requirements gathering and analysis across both IT application and data initiatives, ensuring business needs are translated into clear, actionable specifications for system creation, enhancements, data solutions, reporting, and analytics. The Business Analyst partners closely with Product Managers, Product Owners and stakeholders to drive high-quality, user-centered solutions that align with organizational strategy and deliver measurable business value. Main Responsibilities & Duties Business & Requirements Analysis Elicit, analyze, and document clear functional and non functional requirements by partnering closely with Product Managers, Product Owners, business stakeholders and technical stakeholders Ask appropriate curiosity questions to uncover implicit needs (e.g., performance, security, scalability, usability, compliance) to resolve ambiguity and translate complex business problems into precise, testable requirements that reduce rework and drive high quality delivery. Translate needs into clear specifications, including requirements documents, user stories, acceptance criteria, and process diagrams. Identify requirements interdependencies and, as appropriate, work with the Product Owner, Scrum Master and/or technical team to determine development order. Document data lineage, transformations, and calculations in application requirements. Data & Analytics Requirements Analysis Lead requirements gathering for data initiatives, including reports, dashboards, visualizations, and analytics solutions. Lead the effort to document and control project scope and gather stakeholder signoff on scope and requirements Analyze and document source data structures, data transformations, and data warehouse mappings. Perform data discovery and validation to ensure reporting and analytics solutions meet business requirements. Create and maintain enterprise data assets such as data catalogs, data dictionaries, and data flow diagrams. Contribute to enterprise data strategy in collaboration with Data Engineers, Product Owners, and Data Analysts. Solution Delivery & Collaboration Work closely with Developers, Data Engineers, and Infrastructure teams to ensure shared understanding of requirements and solution design. Incorporate usability, user experience, and human-centered design principles into solution definition. Support agile delivery teams by maintaining backlogs, refining user stories, and providing ongoing clarification during development. Testing, Release & Change Enablement Contribute to user acceptance testing (UAT), including test case creation, execution support, and defect triage. Support release activities and deployments. Assist with training, documentation, and communication to support adoption of delivered solutions. Continuous Improvement & Innovation Leverage AI and automation tools to improve efficiency in creating requirements, user stories, and test artifacts. Participate in brainstorming and discovery sessions related to data trends, data quality, process improvement, and innovation. Promote continuous improvement, quality outcomes, and stakeholder satisfaction. Perform other duties as assigned. Professional Knowledge, Skills & Abilities Bachelor's degree in Information Technology, Business, or a related field, or equivalent experience. 3-5 years of experience as a business analyst, including requirements gathering for application development, data, reporting, or analytics initiatives. GreenPath experience may be substituted. Experience writing clear business and technical requirements and test specifications preferred. Experience with Agile methodologies (Scrum, Kanban) preferred. Experience using tools and/or writing requirements for salesforce or PowerBI strongly preferred. Familiarity with tools such as Azure DevOps, Vizio, Drawio, Figma, Mural, CoPilot preferred. Experience documenting requirements for data projects involving SQL, Power BI, and relational or dimensional data models preferred. Familiarity or eagerness to learn data warehousing, operational reporting, and business intelligence concepts. Experience in financial services or call center environments preferred. Qualities & Characteristics Strong analytical and problem-solving skills with high attention to detail. Demonstrated agility in critical thinking and proactive inquiry to gain deeper understanding. Ability to understand complex business processes and technical concepts. Self-motivated, dependable, and able to manage multiple priorities. Committed to quality, continuous improvement, and delivering value on time and within scope. Communication Skills Excellent written, verbal, and interpersonal communication skills. Ability to translate complex technical concepts into clear, business-friendly language and vice versa. Skilled facilitator of meetings and workshops that drive alignment and actionable outcomes. Strong collaborator who builds effective relationships across business and technical teams. Working Conditions & Physical Requirements This position is primarily sedentary, desk-based work. On an infrequent basis, after hours/weekend work to assist with releases or project deadlines is necessary. Travel is less than 5%. Benefits At GreenPath, we offer a comprehensive benefits package designed to support your well-being and professional growth: Competitive salary and performance-based incentives Health, dental, and vision insurance 403(b) retirement plan with employer contributions Generous paid time off and holidays Tuition reimbursement and professional development opportunities Mission-driven work environment focused on making a positive impact Equal Employment Opportunity Statement GreenPath is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Staff Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
09/25/2026
Full time
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Staff Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
About the Team DoorDash Ads will become the most transparent and effective advertising channel for merchants, brands, and ad buyers/agencies of all sizes to market their offerings to engaged local audiences. We build a variety of products that are easy to use and confidently generate incremental value for advertisers, while also helping consumers discover and engage with brands they love and save money. As the analytics team our goal is to advance product development, understanding of the business, and identify opportunities for the team to drive towards our north stars. About the Role As the leader of a large, high-performing team of data scientists, you'll own the analytics strategy for DoorDash Ads for Restaurants-one of the company's fastest-growing and most dynamic businesses. You'll guide a team spanning multiple levels of seniority to drive insights and decisions across a multi-sided marketplace, optimizing across consumer and merchant outcomes . In your first few months, you'll establish clear priorities, align cross-functional partners in product, engineering, sales, and strategy, and set the analytical vision for sustainable growth. Success in this role means delivering measurable business impact, elevating the quality of analytics across the organization, and building systems that balance advertiser ROI, consumer experience, and platform health. You will report into the Senior Director of Analytics on our Ads team in our Ads & Promos organization. You're excited about this opportunity because you will Lead and develop a high-performing analytics team, providing mentorship, feedback, and clear career development pathways. Define and drive the analytical and product roadmap by setting measurable goals and aligning cross-functional teams around success metrics. Partner closely with product, engineering, and go-to-market teams to uncover insights, optimize funnels, and inform high-impact decisions. Apply advanced analytical methods-such as cohort analysis, regression modeling, and experimentation-to identify growth opportunities and guide strategy. Thrive in a fast-paced, high-pressure environment, staying creative and resourceful in solving complex problems with limited resources. We're excited about you because You have 8+ years of experience in data analytics, consulting, or a related field, with the executive communication skills required to translate data into business impact. You're an empathetic and effective people manager who prioritizes coaching, development, and team alignment. You bring deep expertise in SQL, A/B testing, and statistical analysis (e.g. hypothesis testing, regression modeling, experimentation). You have hands-on experience with funnel optimization, user segmentation, and time-series analysis, and can guide others in applying these techniques. You're scrappy and strategic, able to navigate ambiguity, influence executive stakeholders, and deliver results under pressure. Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey Compensation The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee's work location. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information. DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others. To learn more about our benefits, visit our careers page here. See below for paid time off details: For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year. For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week). The national base pay range for this position within the United States, including Illinois and Colorado. $219,700-$323,000 USD About DoorDash At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users-from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more. Our Commitment to Diversity and Inclusion We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on "protected categories," we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce - people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination. Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation. If you need any accommodations, please inform your recruiting contact upon initial connection. Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We used Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023. We resumed using Covey Scout for Inbound again on June 29, 2024, and ceased using Covey Scout for Inbound on April 30, 2026. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring - learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .
09/25/2026
Full time
About the Team DoorDash Ads will become the most transparent and effective advertising channel for merchants, brands, and ad buyers/agencies of all sizes to market their offerings to engaged local audiences. We build a variety of products that are easy to use and confidently generate incremental value for advertisers, while also helping consumers discover and engage with brands they love and save money. As the analytics team our goal is to advance product development, understanding of the business, and identify opportunities for the team to drive towards our north stars. About the Role As the leader of a large, high-performing team of data scientists, you'll own the analytics strategy for DoorDash Ads for Restaurants-one of the company's fastest-growing and most dynamic businesses. You'll guide a team spanning multiple levels of seniority to drive insights and decisions across a multi-sided marketplace, optimizing across consumer and merchant outcomes . In your first few months, you'll establish clear priorities, align cross-functional partners in product, engineering, sales, and strategy, and set the analytical vision for sustainable growth. Success in this role means delivering measurable business impact, elevating the quality of analytics across the organization, and building systems that balance advertiser ROI, consumer experience, and platform health. You will report into the Senior Director of Analytics on our Ads team in our Ads & Promos organization. You're excited about this opportunity because you will Lead and develop a high-performing analytics team, providing mentorship, feedback, and clear career development pathways. Define and drive the analytical and product roadmap by setting measurable goals and aligning cross-functional teams around success metrics. Partner closely with product, engineering, and go-to-market teams to uncover insights, optimize funnels, and inform high-impact decisions. Apply advanced analytical methods-such as cohort analysis, regression modeling, and experimentation-to identify growth opportunities and guide strategy. Thrive in a fast-paced, high-pressure environment, staying creative and resourceful in solving complex problems with limited resources. We're excited about you because You have 8+ years of experience in data analytics, consulting, or a related field, with the executive communication skills required to translate data into business impact. You're an empathetic and effective people manager who prioritizes coaching, development, and team alignment. You bring deep expertise in SQL, A/B testing, and statistical analysis (e.g. hypothesis testing, regression modeling, experimentation). You have hands-on experience with funnel optimization, user segmentation, and time-series analysis, and can guide others in applying these techniques. You're scrappy and strategic, able to navigate ambiguity, influence executive stakeholders, and deliver results under pressure. Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey Compensation The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee's work location. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information. DoorDash cares about you and your overall well-being. That's why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others. To learn more about our benefits, visit our careers page here. See below for paid time off details: For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year. For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week). The national base pay range for this position within the United States, including Illinois and Colorado. $219,700-$323,000 USD About DoorDash At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users-from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods. DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more. Our Commitment to Diversity and Inclusion We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on "protected categories," we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce - people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination. Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation. If you need any accommodations, please inform your recruiting contact upon initial connection. Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only We used Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023. We resumed using Covey Scout for Inbound again on June 29, 2024, and ceased using Covey Scout for Inbound on April 30, 2026. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring - learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Staff Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
09/25/2026
Full time
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Staff Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Staff Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
09/25/2026
Full time
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Staff Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Senior Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $350,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
09/25/2026
Full time
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Senior Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $350,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Senior Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $350,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
09/25/2026
Full time
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Senior Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $350,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Senior Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $350,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
09/25/2026
Full time
About Turing Turing's mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world's leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Senior Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You'll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing's products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing's products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing's research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We're Looking For Research background: PhD or Master's degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents' ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. This role is required to be in office five days a week, based in any of Turing's offices in San Francisco, Palo Alto, or Seattle. Compensation: $250,000 to $350,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world's leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.
About Typeface We help the world's biggest brands move from brief to fully personalized campaigns - in days, not months. Founded by Abhay Parasnis and backed by Microsoft, GV, Salesforce, Lightspeed, Madrona and Menlo, we're building category-defining technology at the intersection of creativity and AI with real impact. Join us to help shape the future of enterprise marketing. What You'll Do As a Senior Machine Learning Engineer, you will be responsible for building machine learning models/systems and innovative web applications that deliver the power of Generative AI to our customers. You will work closely with designers, product managers and other engineers driving the technical designs and implementations. How You'll Make an Impact Define the roadmap for generation of various content types including text, image, audio and video enabling us to generate brand-affinized, hyper-personalized, and safe content Own the delivery of key business, product and technology initiatives across design, specification, development, testing, and launch. Establish and implement processes for model training, fine-tuning, testing, and operating the Generative AI models at significant scale. Investigate, prototype and deliver innovative solutions Collaborate with other engineers, Product and Business Teams to identify new ways to improve our product and drive growth Establish a data-driven development culture by driving the definition, tracking, and operationalizing of feature, product, and company-level metrics What You Bring Master's or PhD degree in Computer Science or a related field Experience with building and evolving ML Training and Inferencing systems at significant scale with a purpose of solving real-world problems. 5+ years of prior experience designing, building and scaling systems for training, testing, and running Machine Learning models at scale Have a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects Proficiency in Python, C/C++ (or equivalent) Ability to create self-contained, reusable, and testable modules and passionate about prototyping Prior experience with AzureML, GCP Vertex, AWS Sagemaker or similar platforms Bonus: Hands-on experience in deploying and tuning Generative AI models in cloud or on local system Bonus: Experience working at a high-growth startup or tech company Publications and research experiences in ML venues and/or vision/language applications are a plus Location This is a hybrid role based in our Palo Alto HQ. We collaborate in-office 3 days a week. Base Salary The range for this role is $188,000-$200,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits Competitive compensation - including salary, equity, and 401(k) Full medical, dental, and vision insurance for you and your family HSA and FSA options to support your financial wellness Flexible time off - including parental leave Well-being programs - resources to support your mental and physical health Daily lunch & snacks Mentorship & impact - work closely with top AI leaders on products that ship Equality Opportunity Statement We welcome and encourage applicants from all backgrounds. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, medical condition, veteran status, or any other legally protected status. We comply with applicable laws in every jurisdiction where we operate. Why You'll Love Working Here Build something big - Be part of a fast-growing startup defining a new category: marketing orchestration powered by Agentic AI. Your work will matter - Trusted by Fortune 100 companies, our platform delivers 10x content velocity and 90% faster campaigns. A+ team - Collaborate with veterans from Meta, Amazon, Adobe, Google, Microsoft, and top AI companies. Backed by the best - GV, Salesforce Ventures, Microsoft, Lightspeed, Madrona and Menlo ($165M raised). Recognized for innovation - TIME Best Inventions, Fast Company Next Big Thing in Tech, Gartner Cool Vendor, Adweek AI Company of the Year, LinkedIn Top Startup, Webby Award (AI Work & Productivity).
09/25/2026
Full time
About Typeface We help the world's biggest brands move from brief to fully personalized campaigns - in days, not months. Founded by Abhay Parasnis and backed by Microsoft, GV, Salesforce, Lightspeed, Madrona and Menlo, we're building category-defining technology at the intersection of creativity and AI with real impact. Join us to help shape the future of enterprise marketing. What You'll Do As a Senior Machine Learning Engineer, you will be responsible for building machine learning models/systems and innovative web applications that deliver the power of Generative AI to our customers. You will work closely with designers, product managers and other engineers driving the technical designs and implementations. How You'll Make an Impact Define the roadmap for generation of various content types including text, image, audio and video enabling us to generate brand-affinized, hyper-personalized, and safe content Own the delivery of key business, product and technology initiatives across design, specification, development, testing, and launch. Establish and implement processes for model training, fine-tuning, testing, and operating the Generative AI models at significant scale. Investigate, prototype and deliver innovative solutions Collaborate with other engineers, Product and Business Teams to identify new ways to improve our product and drive growth Establish a data-driven development culture by driving the definition, tracking, and operationalizing of feature, product, and company-level metrics What You Bring Master's or PhD degree in Computer Science or a related field Experience with building and evolving ML Training and Inferencing systems at significant scale with a purpose of solving real-world problems. 5+ years of prior experience designing, building and scaling systems for training, testing, and running Machine Learning models at scale Have a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects Proficiency in Python, C/C++ (or equivalent) Ability to create self-contained, reusable, and testable modules and passionate about prototyping Prior experience with AzureML, GCP Vertex, AWS Sagemaker or similar platforms Bonus: Hands-on experience in deploying and tuning Generative AI models in cloud or on local system Bonus: Experience working at a high-growth startup or tech company Publications and research experiences in ML venues and/or vision/language applications are a plus Location This is a hybrid role based in our Palo Alto HQ. We collaborate in-office 3 days a week. Base Salary The range for this role is $188,000-$200,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits Competitive compensation - including salary, equity, and 401(k) Full medical, dental, and vision insurance for you and your family HSA and FSA options to support your financial wellness Flexible time off - including parental leave Well-being programs - resources to support your mental and physical health Daily lunch & snacks Mentorship & impact - work closely with top AI leaders on products that ship Equality Opportunity Statement We welcome and encourage applicants from all backgrounds. Employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, medical condition, veteran status, or any other legally protected status. We comply with applicable laws in every jurisdiction where we operate. Why You'll Love Working Here Build something big - Be part of a fast-growing startup defining a new category: marketing orchestration powered by Agentic AI. Your work will matter - Trusted by Fortune 100 companies, our platform delivers 10x content velocity and 90% faster campaigns. A+ team - Collaborate with veterans from Meta, Amazon, Adobe, Google, Microsoft, and top AI companies. Backed by the best - GV, Salesforce Ventures, Microsoft, Lightspeed, Madrona and Menlo ($165M raised). Recognized for innovation - TIME Best Inventions, Fast Company Next Big Thing in Tech, Gartner Cool Vendor, Adweek AI Company of the Year, LinkedIn Top Startup, Webby Award (AI Work & Productivity).
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Overview The Sr Application Engineer Architect will serve as a senior technical leader within Cadence's North America Field Applications Team, driving strategic customer engagements and influencing next-generation EDA & Agentic-AI solutions. This role demands exceptional technical depth, proven leadership, and the ability to align cross-functional teams toward delivering advanced design solutions for leading semiconductor companies. Key Responsibilities Strategic Leadership: Define and execute technical engagement strategies for top semiconductor design team, ensuring alignment with corporate objectives and customer success metrics. Customer Advocacy: Act as a trusted advisor for executive-level stakeholders, guiding adoption of Cadence's digital implementation, signoff technologies and AgenticAI features across advanced nodes (3nm and below). Team Development: Lead and mentor a high-performing team of Application Engineers, fostering technical excellence and career growth. Cross-Functional Collaboration: Partner with R&D and Product Engineering to influence tool enhancements based on real-world customer requirements. Innovation & Enablement: Drive complex benchmarks, flow optimizations, and deployment of cutting-edge methodologies for Synthesis, P&R, STA, IR Drop, and power/timing closure. Thought Leadership: Represent Cadence at industry forums, author technical papers, and deliver keynote presentations to position Cadence as a market leader. Operational Excellence: Establish best practices for engagement models, resource planning, and technical escalations to ensure timely and successful project execution. Qualifications 20+ years of experience in IC design implementation and signoff, with demonstrated success in managing large-scale technical programs. BS/MS in Electrical Engineering, Computer Engineering, or related field. Deep expertise in digital design fundamentals, advanced node implementation (3nm and below), and EDA tool ecosystems. Proven track record of leading technical teams and driving customer success at executive levels. Strong proficiency in scripting (Tcl, Python, Perl) and flow customization for design closure. Excellent communication, negotiation, and leadership skills with the ability to influence internal and external stakeholders. Prior experience with Cadence tools (Genus, Innovus, Tempus, Voltus, Conformal, Cerebrus) and competitive solutions highly desirable. The annual salary range for California is $210,000 to $390,000. You may also be eligible to receive incentive compensation: bonus, equity, and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the salary range is a guideline and compensation may vary based on factors such as qualifications, skill level, competencies and work location. Our benefits programs include: paid vacation and paid holidays, 401(k) plan with employer match, employee stock purchase plan, a variety of medical, dental and vision plan options, and more. We're doing work that matters. Help us solve what others can't.
09/25/2026
Full time
At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. Overview The Sr Application Engineer Architect will serve as a senior technical leader within Cadence's North America Field Applications Team, driving strategic customer engagements and influencing next-generation EDA & Agentic-AI solutions. This role demands exceptional technical depth, proven leadership, and the ability to align cross-functional teams toward delivering advanced design solutions for leading semiconductor companies. Key Responsibilities Strategic Leadership: Define and execute technical engagement strategies for top semiconductor design team, ensuring alignment with corporate objectives and customer success metrics. Customer Advocacy: Act as a trusted advisor for executive-level stakeholders, guiding adoption of Cadence's digital implementation, signoff technologies and AgenticAI features across advanced nodes (3nm and below). Team Development: Lead and mentor a high-performing team of Application Engineers, fostering technical excellence and career growth. Cross-Functional Collaboration: Partner with R&D and Product Engineering to influence tool enhancements based on real-world customer requirements. Innovation & Enablement: Drive complex benchmarks, flow optimizations, and deployment of cutting-edge methodologies for Synthesis, P&R, STA, IR Drop, and power/timing closure. Thought Leadership: Represent Cadence at industry forums, author technical papers, and deliver keynote presentations to position Cadence as a market leader. Operational Excellence: Establish best practices for engagement models, resource planning, and technical escalations to ensure timely and successful project execution. Qualifications 20+ years of experience in IC design implementation and signoff, with demonstrated success in managing large-scale technical programs. BS/MS in Electrical Engineering, Computer Engineering, or related field. Deep expertise in digital design fundamentals, advanced node implementation (3nm and below), and EDA tool ecosystems. Proven track record of leading technical teams and driving customer success at executive levels. Strong proficiency in scripting (Tcl, Python, Perl) and flow customization for design closure. Excellent communication, negotiation, and leadership skills with the ability to influence internal and external stakeholders. Prior experience with Cadence tools (Genus, Innovus, Tempus, Voltus, Conformal, Cerebrus) and competitive solutions highly desirable. The annual salary range for California is $210,000 to $390,000. You may also be eligible to receive incentive compensation: bonus, equity, and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the salary range is a guideline and compensation may vary based on factors such as qualifications, skill level, competencies and work location. Our benefits programs include: paid vacation and paid holidays, 401(k) plan with employer match, employee stock purchase plan, a variety of medical, dental and vision plan options, and more. We're doing work that matters. Help us solve what others can't.
At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminating documentation burden at the point of care, intelligent Agents automating patient and revenue workflows, and autonomous RCM processing billions in claims, all on a single AI-native platform integrated with 60+ EHRs. Healthcare carries a $1 trillion administrative burden and we're at the center of transforming it. Today, 500,000+ clinicians across 500+ healthcare organizations nationwide trust Commure to handle $25B+ in annual claims and support over 200 million patient interactions. Our latest $70M raise at a $7B valuation reflects the confidence the market has placed in this mission. We've also been named to the Fortune Future 50 list and the 2026 AI Breakthrough Awards for "Overall NLP Company of the Year." Our team works directly alongside clinicians, not through layers of process, which means the gap between what you build and its impact on patient care is immediate. We move fast, deploy daily, and take full ownership from early thinking to production. If you're energized by hard problems, high stakes, and a team that holds itself to a high bar, you'll find your people here. The future of healthcare is being built right now. Come deliver this transformation. About the Role As Senior Implementation Manager, Air (EHR), you will own the end-to-end implementation of onboarding and launching new customers on Athelas Air (EHR). You'll partner with Engineering and Launch to ensure each practice transitions smoothly, on time, and with high adoption. You'll build scalable launch playbooks; scope, define, and prioritize product features based on customer workflows; define success metrics; and continuously refine processes to accelerate time-to-value. Read more about Air! This full-time position requires working 5 days a week in our Mountain View, CA office. What You'll Do Customer Discovery, Workflow Analysis & Technical Collaboration: Engage directly with customers to map their existing clinical and administrative workflows. Product Management & Technical Specifications: Draft detailed functional and technical specifications (user stories, acceptance criteria, data mappings, interface requirements) based on scoped customer needs. Partner with Product and Engineering to validate feasibility, clarify requirements, and prioritize specs in the development backlog. Project Leadership & Stakeholder Coordination: Develop and maintain detailed implementation plans, timelines, and resource allocations for each customer launch. Lead cross-functional launch teams through weekly status calls, playbook adherence, and risk-mitigation workflows. Act as the primary operations liaison among Sales, Customer Success, Product, Engineering, Professional Services, and Support. Align on deliverables, dependencies, and hand-offs; flag and escalate critical-path issues early. Process Design, Optimization & Tooling: Create and evolve scalable, standardized launch playbooks and templates for data migration, build-out, training, and go-live support. Identify bottlenecks and implement continuous improvements to reduce time-to-launch and increase launch quality. Build and maintain internal Retool applications to streamline operational workflows and empower non-technical stakeholders to create custom dashboards, reports, and tools without code. Go-Live Support & Adoption: Facilitate hypercare support during and immediately after go-live; track issue-resolution SLAs. Monitor and report on key adoption metrics (e.g., login rates, documentation volume, billing task completion). What You Have Education: Bachelor's degree in Business, Healthcare Administration, Information Systems, or a related field. MBA or advanced degree a plus. Experience: 5+ years of operations or project management experience in SaaS or HealthTech. Proven track record of leading complex, cross-functional programs to successful delivery on time and within scope. Please be aware that all official communication from us will come exclusively from email addresses ending in @ . Any emails from other domains are not affiliated with our organization. Employees will act in accordance with the organization's information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis.
09/25/2026
Full time
At Commure, we're building the AI Operating System for healthcare, the foundation that defines how care is delivered, documented, and financed. Our platform spans the full care journey: Ambient AI and Dictation eliminating documentation burden at the point of care, intelligent Agents automating patient and revenue workflows, and autonomous RCM processing billions in claims, all on a single AI-native platform integrated with 60+ EHRs. Healthcare carries a $1 trillion administrative burden and we're at the center of transforming it. Today, 500,000+ clinicians across 500+ healthcare organizations nationwide trust Commure to handle $25B+ in annual claims and support over 200 million patient interactions. Our latest $70M raise at a $7B valuation reflects the confidence the market has placed in this mission. We've also been named to the Fortune Future 50 list and the 2026 AI Breakthrough Awards for "Overall NLP Company of the Year." Our team works directly alongside clinicians, not through layers of process, which means the gap between what you build and its impact on patient care is immediate. We move fast, deploy daily, and take full ownership from early thinking to production. If you're energized by hard problems, high stakes, and a team that holds itself to a high bar, you'll find your people here. The future of healthcare is being built right now. Come deliver this transformation. About the Role As Senior Implementation Manager, Air (EHR), you will own the end-to-end implementation of onboarding and launching new customers on Athelas Air (EHR). You'll partner with Engineering and Launch to ensure each practice transitions smoothly, on time, and with high adoption. You'll build scalable launch playbooks; scope, define, and prioritize product features based on customer workflows; define success metrics; and continuously refine processes to accelerate time-to-value. Read more about Air! This full-time position requires working 5 days a week in our Mountain View, CA office. What You'll Do Customer Discovery, Workflow Analysis & Technical Collaboration: Engage directly with customers to map their existing clinical and administrative workflows. Product Management & Technical Specifications: Draft detailed functional and technical specifications (user stories, acceptance criteria, data mappings, interface requirements) based on scoped customer needs. Partner with Product and Engineering to validate feasibility, clarify requirements, and prioritize specs in the development backlog. Project Leadership & Stakeholder Coordination: Develop and maintain detailed implementation plans, timelines, and resource allocations for each customer launch. Lead cross-functional launch teams through weekly status calls, playbook adherence, and risk-mitigation workflows. Act as the primary operations liaison among Sales, Customer Success, Product, Engineering, Professional Services, and Support. Align on deliverables, dependencies, and hand-offs; flag and escalate critical-path issues early. Process Design, Optimization & Tooling: Create and evolve scalable, standardized launch playbooks and templates for data migration, build-out, training, and go-live support. Identify bottlenecks and implement continuous improvements to reduce time-to-launch and increase launch quality. Build and maintain internal Retool applications to streamline operational workflows and empower non-technical stakeholders to create custom dashboards, reports, and tools without code. Go-Live Support & Adoption: Facilitate hypercare support during and immediately after go-live; track issue-resolution SLAs. Monitor and report on key adoption metrics (e.g., login rates, documentation volume, billing task completion). What You Have Education: Bachelor's degree in Business, Healthcare Administration, Information Systems, or a related field. MBA or advanced degree a plus. Experience: 5+ years of operations or project management experience in SaaS or HealthTech. Proven track record of leading complex, cross-functional programs to successful delivery on time and within scope. Please be aware that all official communication from us will come exclusively from email addresses ending in @ . Any emails from other domains are not affiliated with our organization. Employees will act in accordance with the organization's information security policies, to include but not limited to protecting assets from unauthorized access, disclosure, modification, destruction or interference nor execute particular security processes or activities. Employees will report to the information security office any confirmed or potential events or other risks to the organization. Employees will be required to attest to these requirements upon hire and on an annual basis.
At BuildOps, we're building a groundbreaking software solution, purpose-built to support today's commercial contractors. From helping our customers to manage their service all the way to project management, we're breaking the mold and building a team that invests in our mission statement. We love driven, self-motivated folks that thrive in fast-paced environments. Could you be our next hire? As a Staff Software Engineer, your primary focus will be to architect, build, and optimize our industry-leading platform across the entire stack, from scalable frontend applications to high-performance backend services. We are looking for a motivated, self-starter who can drive technical excellence, mentor engineers, and influence best practices in a distributed team environment. Your role will be pivotal in delivering high-quality, scalable, and reliable software that powers the commercial contracting industry. What You'll Do: Architect, build, and maintain our full-stack platform, including scalable frontend applications (React.js) and high-performance backend services (Node.js, GraphQL, REST APIs). Lead technical decisions across the stack, ensuring high performance, maintainability, and best practices for both frontend and backend development. Design, develop, and optimize APIs to power our frontend applications and third-party integrations. Improve database design and query optimization, ensuring efficient data storage and retrieval. Enhance and optimize our design system and UI components using Material-UI, ensuring a seamless and consistent user experience. Own full-stack observability, implementing logging, monitoring, and performance analysis tools to improve reliability across frontend and backend services. Evaluate and introduce new technologies that drive innovation and efficiency across the stack. Work in tandem with the QA engineering team to ship high-precision, well-tested software. Define and enforce testing strategies across both frontend and backend using tools such as Jest and React Testing Library. Mentor and guide other engineers, conducting technical design reviews, pair programming, and knowledge-sharing sessions. Lead technical initiatives that impact multiple teams, ensuring alignment with company goals and technical vision. Communicate effectively with engineers, product managers, customers, partners, and other leaders. What We Look For: 8+ years of experience in software engineering, with a strong focus on full-stack development in modern JavaScript/TypeScript. Deep expertise in React.js and state management with experience in building and maintaining scalable frontend architectures. Strong backend development experience with Node.js, designing and maintaining GraphQL APIs (Apollo, Relay) and RESTful services. Proficiency in database technologies (SQL), including PostgreSQL, MySQL,or similar. Experience with frontend and backend performance optimization, including database indexing, caching, and frontend rendering strategies. Strong experience with event-driven architecture, messaging systems (e.g., Kafka, RabbitMQ), and real-time data processing. Experience with containerization (Docker, Kubernetes) and cloud infrastructure (AWS, GCP, or Azure). Prior knowledge or ability to quickly learn Python for backend development is a plus. Experience working in CI/CD environments, ensuring smooth and automated deployments across the stack. Track record of mentoring and coaching engineers, fostering a culture of growth and continuous learning. Strong communication and technical writing skills for documentation and cross-functional collaboration. B.S., M.S., or Ph.D. in Computer Science, Engineering, or a related field. Ability to work a hybrid schedule - Monday/Friday WFH, Tuesday - Thursday, in office Compensation $197,000 - $262,000 base salary range + annual bonus + meaningful equity What we offer: Generous equity grant, become an owner in our company! A comprehensive benefits package Flexible PTO and hybrid work schedules One-time work-from-home allowance Hubs in Los Angeles, San Francisco, Toronto, and Raleigh with hybrid work schedules and lunch provided for in-office days Company events and team-building activities, both in-person and virtual Fast-paced, collaborative, and dynamic work environment Opportunities for growth and career advancement Chance to work with cutting-edge technology and innovative solutions The chance to get in on the ground floor and build something truly groundbreaking for ourselves and our amazing customers We welcome applicants from across the U.S. where we are registered to do business and able to support employment. Currently, this excludes the following states: Alaska, Hawaii, Kentucky, Mississippi, Nebraska, New Mexico, North Dakota, Rhode Island, South Dakota, West Virginia, and Wyoming. This list is based solely on operational and compliance considerations and is reviewed from time to time as our footprint grows. About BuildOps Join BuildOps, the largest commercial trade platform in the country, as we transform the multi-billion dollar commercial contracting industry! We're not just talking incremental improvements-we're talking a full-scale revolution, empowering the hardworking heroes who build and maintain the infrastructure that keeps our world running. See why contractors choose Buildops here. This is your chance to be part of a rocketship. We're fresh off a $1 billion valuation and a $127M Series C funding round (part of over $275M raised to date) led by industry-leading investors like Meritech Capital, BOND, and SE Ventures, backed by Schneider Electric (Reuters, TechCrunch, LA Business Journal) . Our latest investors join our team of industry heavyweights like Next47, former Twitter CEO Dick Costolo, former Salesforce President Gavin Patterson, and Boost Mobile CEO Stephen Stokols. Their investment is fueling our aggressive growth and our commitment to equipping contractors with AI-driven tools to conquer chaos, boost efficiency, skyrocket profitability, and ultimately, deliver exceptional service. At BuildOps, we're changing the game and doing the best work of our careers. You'll be a key player in a company that's truly making a difference for the backbone of our economy. If you're ready to tackle big challenges, work with a passionate team, and build something extraordinary, BuildOps is the place for you. BuildOps is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, veteran status, or any other status protected by applicable federal, state, or local law. BuildOps will consider qualified applicants with a criminal history pursuant to the California Fair Chance Act pursuant to applicable local and state laws. BuildOps recruiters will only contact candidates through official channels and will never ask for payment, banking details, or sensitive personal information during the interview process. Verify all openings at Report suspicious outreach to reportfraud.ftc.gov and . We review every report, but may not be able to respond individually. BuildOps is not responsible for losses from fraudulent postings.
09/25/2026
Full time
At BuildOps, we're building a groundbreaking software solution, purpose-built to support today's commercial contractors. From helping our customers to manage their service all the way to project management, we're breaking the mold and building a team that invests in our mission statement. We love driven, self-motivated folks that thrive in fast-paced environments. Could you be our next hire? As a Staff Software Engineer, your primary focus will be to architect, build, and optimize our industry-leading platform across the entire stack, from scalable frontend applications to high-performance backend services. We are looking for a motivated, self-starter who can drive technical excellence, mentor engineers, and influence best practices in a distributed team environment. Your role will be pivotal in delivering high-quality, scalable, and reliable software that powers the commercial contracting industry. What You'll Do: Architect, build, and maintain our full-stack platform, including scalable frontend applications (React.js) and high-performance backend services (Node.js, GraphQL, REST APIs). Lead technical decisions across the stack, ensuring high performance, maintainability, and best practices for both frontend and backend development. Design, develop, and optimize APIs to power our frontend applications and third-party integrations. Improve database design and query optimization, ensuring efficient data storage and retrieval. Enhance and optimize our design system and UI components using Material-UI, ensuring a seamless and consistent user experience. Own full-stack observability, implementing logging, monitoring, and performance analysis tools to improve reliability across frontend and backend services. Evaluate and introduce new technologies that drive innovation and efficiency across the stack. Work in tandem with the QA engineering team to ship high-precision, well-tested software. Define and enforce testing strategies across both frontend and backend using tools such as Jest and React Testing Library. Mentor and guide other engineers, conducting technical design reviews, pair programming, and knowledge-sharing sessions. Lead technical initiatives that impact multiple teams, ensuring alignment with company goals and technical vision. Communicate effectively with engineers, product managers, customers, partners, and other leaders. What We Look For: 8+ years of experience in software engineering, with a strong focus on full-stack development in modern JavaScript/TypeScript. Deep expertise in React.js and state management with experience in building and maintaining scalable frontend architectures. Strong backend development experience with Node.js, designing and maintaining GraphQL APIs (Apollo, Relay) and RESTful services. Proficiency in database technologies (SQL), including PostgreSQL, MySQL,or similar. Experience with frontend and backend performance optimization, including database indexing, caching, and frontend rendering strategies. Strong experience with event-driven architecture, messaging systems (e.g., Kafka, RabbitMQ), and real-time data processing. Experience with containerization (Docker, Kubernetes) and cloud infrastructure (AWS, GCP, or Azure). Prior knowledge or ability to quickly learn Python for backend development is a plus. Experience working in CI/CD environments, ensuring smooth and automated deployments across the stack. Track record of mentoring and coaching engineers, fostering a culture of growth and continuous learning. Strong communication and technical writing skills for documentation and cross-functional collaboration. B.S., M.S., or Ph.D. in Computer Science, Engineering, or a related field. Ability to work a hybrid schedule - Monday/Friday WFH, Tuesday - Thursday, in office Compensation $197,000 - $262,000 base salary range + annual bonus + meaningful equity What we offer: Generous equity grant, become an owner in our company! A comprehensive benefits package Flexible PTO and hybrid work schedules One-time work-from-home allowance Hubs in Los Angeles, San Francisco, Toronto, and Raleigh with hybrid work schedules and lunch provided for in-office days Company events and team-building activities, both in-person and virtual Fast-paced, collaborative, and dynamic work environment Opportunities for growth and career advancement Chance to work with cutting-edge technology and innovative solutions The chance to get in on the ground floor and build something truly groundbreaking for ourselves and our amazing customers We welcome applicants from across the U.S. where we are registered to do business and able to support employment. Currently, this excludes the following states: Alaska, Hawaii, Kentucky, Mississippi, Nebraska, New Mexico, North Dakota, Rhode Island, South Dakota, West Virginia, and Wyoming. This list is based solely on operational and compliance considerations and is reviewed from time to time as our footprint grows. About BuildOps Join BuildOps, the largest commercial trade platform in the country, as we transform the multi-billion dollar commercial contracting industry! We're not just talking incremental improvements-we're talking a full-scale revolution, empowering the hardworking heroes who build and maintain the infrastructure that keeps our world running. See why contractors choose Buildops here. This is your chance to be part of a rocketship. We're fresh off a $1 billion valuation and a $127M Series C funding round (part of over $275M raised to date) led by industry-leading investors like Meritech Capital, BOND, and SE Ventures, backed by Schneider Electric (Reuters, TechCrunch, LA Business Journal) . Our latest investors join our team of industry heavyweights like Next47, former Twitter CEO Dick Costolo, former Salesforce President Gavin Patterson, and Boost Mobile CEO Stephen Stokols. Their investment is fueling our aggressive growth and our commitment to equipping contractors with AI-driven tools to conquer chaos, boost efficiency, skyrocket profitability, and ultimately, deliver exceptional service. At BuildOps, we're changing the game and doing the best work of our careers. You'll be a key player in a company that's truly making a difference for the backbone of our economy. If you're ready to tackle big challenges, work with a passionate team, and build something extraordinary, BuildOps is the place for you. BuildOps is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, veteran status, or any other status protected by applicable federal, state, or local law. BuildOps will consider qualified applicants with a criminal history pursuant to the California Fair Chance Act pursuant to applicable local and state laws. BuildOps recruiters will only contact candidates through official channels and will never ask for payment, banking details, or sensitive personal information during the interview process. Verify all openings at Report suspicious outreach to reportfraud.ftc.gov and . We review every report, but may not be able to respond individually. BuildOps is not responsible for losses from fraudulent postings.
At BuildOps, we're building a groundbreaking software solution, purpose-built to support today's commercial contractors. From helping our customers to manage their service all the way to project management, we're breaking the mold and building a team that invests in our mission statement. We love driven, self-motivated folks that thrive in fast-paced environments. Could you be our next hire? As a Staff Software Engineer, your primary focus will be to architect, build, and optimize our industry-leading platform across the entire stack, from scalable frontend applications to high-performance backend services. We are looking for a motivated, self-starter who can drive technical excellence, mentor engineers, and influence best practices in a distributed team environment. Your role will be pivotal in delivering high-quality, scalable, and reliable software that powers the commercial contracting industry. What You'll Do: Architect, build, and maintain our full-stack platform, including scalable frontend applications (React.js) and high-performance backend services (Node.js, GraphQL, REST APIs). Lead technical decisions across the stack, ensuring high performance, maintainability, and best practices for both frontend and backend development. Design, develop, and optimize APIs to power our frontend applications and third-party integrations. Improve database design and query optimization, ensuring efficient data storage and retrieval. Enhance and optimize our design system and UI components using Material-UI, ensuring a seamless and consistent user experience. Own full-stack observability, implementing logging, monitoring, and performance analysis tools to improve reliability across frontend and backend services. Evaluate and introduce new technologies that drive innovation and efficiency across the stack. Work in tandem with the QA engineering team to ship high-precision, well-tested software. Define and enforce testing strategies across both frontend and backend using tools such as Jest and React Testing Library. Mentor and guide other engineers, conducting technical design reviews, pair programming, and knowledge-sharing sessions. Lead technical initiatives that impact multiple teams, ensuring alignment with company goals and technical vision. Communicate effectively with engineers, product managers, customers, partners, and other leaders. What We Look For: 8+ years of experience in software engineering, with a strong focus on full-stack development in modern JavaScript/TypeScript. Deep expertise in React.js and state management with experience in building and maintaining scalable frontend architectures. Strong backend development experience with Node.js, designing and maintaining GraphQL APIs (Apollo, Relay) and RESTful services. Proficiency in database technologies (SQL), including PostgreSQL, MySQL,or similar. Experience with frontend and backend performance optimization, including database indexing, caching, and frontend rendering strategies. Strong experience with event-driven architecture, messaging systems (e.g., Kafka, RabbitMQ), and real-time data processing. Experience with containerization (Docker, Kubernetes) and cloud infrastructure (AWS, GCP, or Azure). Prior knowledge or ability to quickly learn Python for backend development is a plus. Experience working in CI/CD environments, ensuring smooth and automated deployments across the stack. Track record of mentoring and coaching engineers, fostering a culture of growth and continuous learning. Strong communication and technical writing skills for documentation and cross-functional collaboration. B.S., M.S., or Ph.D. in Computer Science, Engineering, or a related field. Ability to work a hybrid schedule - Monday/Friday WFH, Tuesday - Thursday, in office Compensation $197,000 - $262,000 base salary range + annual bonus + meaningful equity What we offer: Generous equity grant, become an owner in our company! A comprehensive benefits package Flexible PTO and hybrid work schedules One-time work-from-home allowance Hubs in Los Angeles, San Francisco, Toronto, and Raleigh with hybrid work schedules and lunch provided for in-office days Company events and team-building activities, both in-person and virtual Fast-paced, collaborative, and dynamic work environment Opportunities for growth and career advancement Chance to work with cutting-edge technology and innovative solutions The chance to get in on the ground floor and build something truly groundbreaking for ourselves and our amazing customers We welcome applicants from across the U.S. where we are registered to do business and able to support employment. Currently, this excludes the following states: Alaska, Hawaii, Kentucky, Mississippi, Nebraska, New Mexico, North Dakota, Rhode Island, South Dakota, West Virginia, and Wyoming. This list is based solely on operational and compliance considerations and is reviewed from time to time as our footprint grows. About BuildOps Join BuildOps, the largest commercial trade platform in the country, as we transform the multi-billion dollar commercial contracting industry! We're not just talking incremental improvements-we're talking a full-scale revolution, empowering the hardworking heroes who build and maintain the infrastructure that keeps our world running. See why contractors choose Buildops here. This is your chance to be part of a rocketship. We're fresh off a $1 billion valuation and a $127M Series C funding round (part of over $275M raised to date) led by industry-leading investors like Meritech Capital, BOND, and SE Ventures, backed by Schneider Electric (Reuters, TechCrunch, LA Business Journal) . Our latest investors join our team of industry heavyweights like Next47, former Twitter CEO Dick Costolo, former Salesforce President Gavin Patterson, and Boost Mobile CEO Stephen Stokols. Their investment is fueling our aggressive growth and our commitment to equipping contractors with AI-driven tools to conquer chaos, boost efficiency, skyrocket profitability, and ultimately, deliver exceptional service. At BuildOps, we're changing the game and doing the best work of our careers. You'll be a key player in a company that's truly making a difference for the backbone of our economy. If you're ready to tackle big challenges, work with a passionate team, and build something extraordinary, BuildOps is the place for you. BuildOps is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, veteran status, or any other status protected by applicable federal, state, or local law. BuildOps will consider qualified applicants with a criminal history pursuant to the California Fair Chance Act pursuant to applicable local and state laws. BuildOps recruiters will only contact candidates through official channels and will never ask for payment, banking details, or sensitive personal information during the interview process. Verify all openings at Report suspicious outreach to reportfraud.ftc.gov and . We review every report, but may not be able to respond individually. BuildOps is not responsible for losses from fraudulent postings.
09/25/2026
Full time
At BuildOps, we're building a groundbreaking software solution, purpose-built to support today's commercial contractors. From helping our customers to manage their service all the way to project management, we're breaking the mold and building a team that invests in our mission statement. We love driven, self-motivated folks that thrive in fast-paced environments. Could you be our next hire? As a Staff Software Engineer, your primary focus will be to architect, build, and optimize our industry-leading platform across the entire stack, from scalable frontend applications to high-performance backend services. We are looking for a motivated, self-starter who can drive technical excellence, mentor engineers, and influence best practices in a distributed team environment. Your role will be pivotal in delivering high-quality, scalable, and reliable software that powers the commercial contracting industry. What You'll Do: Architect, build, and maintain our full-stack platform, including scalable frontend applications (React.js) and high-performance backend services (Node.js, GraphQL, REST APIs). Lead technical decisions across the stack, ensuring high performance, maintainability, and best practices for both frontend and backend development. Design, develop, and optimize APIs to power our frontend applications and third-party integrations. Improve database design and query optimization, ensuring efficient data storage and retrieval. Enhance and optimize our design system and UI components using Material-UI, ensuring a seamless and consistent user experience. Own full-stack observability, implementing logging, monitoring, and performance analysis tools to improve reliability across frontend and backend services. Evaluate and introduce new technologies that drive innovation and efficiency across the stack. Work in tandem with the QA engineering team to ship high-precision, well-tested software. Define and enforce testing strategies across both frontend and backend using tools such as Jest and React Testing Library. Mentor and guide other engineers, conducting technical design reviews, pair programming, and knowledge-sharing sessions. Lead technical initiatives that impact multiple teams, ensuring alignment with company goals and technical vision. Communicate effectively with engineers, product managers, customers, partners, and other leaders. What We Look For: 8+ years of experience in software engineering, with a strong focus on full-stack development in modern JavaScript/TypeScript. Deep expertise in React.js and state management with experience in building and maintaining scalable frontend architectures. Strong backend development experience with Node.js, designing and maintaining GraphQL APIs (Apollo, Relay) and RESTful services. Proficiency in database technologies (SQL), including PostgreSQL, MySQL,or similar. Experience with frontend and backend performance optimization, including database indexing, caching, and frontend rendering strategies. Strong experience with event-driven architecture, messaging systems (e.g., Kafka, RabbitMQ), and real-time data processing. Experience with containerization (Docker, Kubernetes) and cloud infrastructure (AWS, GCP, or Azure). Prior knowledge or ability to quickly learn Python for backend development is a plus. Experience working in CI/CD environments, ensuring smooth and automated deployments across the stack. Track record of mentoring and coaching engineers, fostering a culture of growth and continuous learning. Strong communication and technical writing skills for documentation and cross-functional collaboration. B.S., M.S., or Ph.D. in Computer Science, Engineering, or a related field. Ability to work a hybrid schedule - Monday/Friday WFH, Tuesday - Thursday, in office Compensation $197,000 - $262,000 base salary range + annual bonus + meaningful equity What we offer: Generous equity grant, become an owner in our company! A comprehensive benefits package Flexible PTO and hybrid work schedules One-time work-from-home allowance Hubs in Los Angeles, San Francisco, Toronto, and Raleigh with hybrid work schedules and lunch provided for in-office days Company events and team-building activities, both in-person and virtual Fast-paced, collaborative, and dynamic work environment Opportunities for growth and career advancement Chance to work with cutting-edge technology and innovative solutions The chance to get in on the ground floor and build something truly groundbreaking for ourselves and our amazing customers We welcome applicants from across the U.S. where we are registered to do business and able to support employment. Currently, this excludes the following states: Alaska, Hawaii, Kentucky, Mississippi, Nebraska, New Mexico, North Dakota, Rhode Island, South Dakota, West Virginia, and Wyoming. This list is based solely on operational and compliance considerations and is reviewed from time to time as our footprint grows. About BuildOps Join BuildOps, the largest commercial trade platform in the country, as we transform the multi-billion dollar commercial contracting industry! We're not just talking incremental improvements-we're talking a full-scale revolution, empowering the hardworking heroes who build and maintain the infrastructure that keeps our world running. See why contractors choose Buildops here. This is your chance to be part of a rocketship. We're fresh off a $1 billion valuation and a $127M Series C funding round (part of over $275M raised to date) led by industry-leading investors like Meritech Capital, BOND, and SE Ventures, backed by Schneider Electric (Reuters, TechCrunch, LA Business Journal) . Our latest investors join our team of industry heavyweights like Next47, former Twitter CEO Dick Costolo, former Salesforce President Gavin Patterson, and Boost Mobile CEO Stephen Stokols. Their investment is fueling our aggressive growth and our commitment to equipping contractors with AI-driven tools to conquer chaos, boost efficiency, skyrocket profitability, and ultimately, deliver exceptional service. At BuildOps, we're changing the game and doing the best work of our careers. You'll be a key player in a company that's truly making a difference for the backbone of our economy. If you're ready to tackle big challenges, work with a passionate team, and build something extraordinary, BuildOps is the place for you. BuildOps is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, veteran status, or any other status protected by applicable federal, state, or local law. BuildOps will consider qualified applicants with a criminal history pursuant to the California Fair Chance Act pursuant to applicable local and state laws. BuildOps recruiters will only contact candidates through official channels and will never ask for payment, banking details, or sensitive personal information during the interview process. Verify all openings at Report suspicious outreach to reportfraud.ftc.gov and . We review every report, but may not be able to respond individually. BuildOps is not responsible for losses from fraudulent postings.
About the Role Together AI is building the best inference infrastructure for voice applications. Our Voice AI platform powers production-grade, real-time voice agents and applications - serving speech-to-text and text-to-speech models with best-in-class latency and reliability. We're looking for a Senior ML Engineer to drive the model serving layer for voice workloads. You'll work hands-on with inference engines like TRT-LLM and SGLang to optimize how we serve models like Whisper, Parakeet, Orpheus, and Kokoro - pushing latency and throughput to the frontier. You'll profile GPU utilization, design batching strategies for streaming audio, and ensure new model architectures can go from research to production quickly. This is a foundational hire on a small, high-impact team. Voice inference has unique challenges - streaming audio, tokenization, real-time latency budgets - that require dedicated ML engineering focus. You'll shape how Together serves voice models as the industry moves from pipeline architectures (ASR LLM TTS) toward end-to-end speech-to-speech. Own the model serving stack that powers Together's voice platform across STT, TTS, and speech-to-speech. Work directly with state-of-the-art accelerators (H100s, H200s, B200s) to optimize voice model inference. Collaborate with model partners (Cartesia, Deepgram, Rime, and others) to bring their models to production on Together's infrastructure. Build quality evaluation frameworks that guide model selection for customers and inform the roadmap. Join a small, early-stage team with outsized impact on a fast-growing product area. Responsibilities Optimize inference performance for voice models (STT, TTS, speech-to-speech) - targeting best-in-class TTFB, throughput, and GPU utilization across our curated model set. Productionize voice models on serverless and dedicated endpoints, including batching strategies, streaming inference, and memory management tailored to audio workloads. Build and maintain a voice model evaluation framework - measuring WER across accents, languages, and noise conditions for STT; naturalness, latency, and pronunciation accuracy for TTS. Enable new model architectures in our serving stack as the field evolves, including audio-native LLMs, codec-based models (SNAC), and speech-to-speech systems. Collaborate with model partners to integrate and optimize their models (Cartesia, Deepgram, Rime, and others) running on Together's infrastructure. Profile and debug performance across the full inference stack - from GPU kernels to framework-level bottlenecks - and ship measurable improvements. Work with the platform engineering side of the team to ensure the serving layer meets the latency and reliability requirements of real-time voice APIs. Contribute to voice model fine-tuning capabilities (STT and TTS) as we enable customers to build differentiated voice experiences on Together. Lay the groundwork for multiple new products down the line. Requirements 5+ years of experience in ML engineering, with a focus on model serving, inference optimization, or ML infrastructure. Hands-on experience with LLM serving engines (vLLM, SGLang, TensorRT-LLM, or similar) - comfortable reading and modifying engine internals, not just using APIs. Strong proficiency in Python and PyTorch; experience with GPU profiling and optimization (CUDA, memory management, kernel-level debugging). Track record of shipping ML systems to production with measurable performance improvements. Strong product sense - you think about what developers building voice apps actually need, not just what's technically interesting. Comfort working on a small, early-stage team where you'll wear multiple hats and move fast. Experience with speech and audio ML (ASR, TTS architectures, audio signal processing) is a strong plus but not required - you can learn this quickly if you have strong ML engineering fundamentals. Familiarity with audio codecs and tokenization schemes (SNAC, Encodec, DAC) is a plus. Experience training or fine-tuning speech models is a plus. Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field, or equivalent practical experience About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $200,000 - $260,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at
09/25/2026
Full time
About the Role Together AI is building the best inference infrastructure for voice applications. Our Voice AI platform powers production-grade, real-time voice agents and applications - serving speech-to-text and text-to-speech models with best-in-class latency and reliability. We're looking for a Senior ML Engineer to drive the model serving layer for voice workloads. You'll work hands-on with inference engines like TRT-LLM and SGLang to optimize how we serve models like Whisper, Parakeet, Orpheus, and Kokoro - pushing latency and throughput to the frontier. You'll profile GPU utilization, design batching strategies for streaming audio, and ensure new model architectures can go from research to production quickly. This is a foundational hire on a small, high-impact team. Voice inference has unique challenges - streaming audio, tokenization, real-time latency budgets - that require dedicated ML engineering focus. You'll shape how Together serves voice models as the industry moves from pipeline architectures (ASR LLM TTS) toward end-to-end speech-to-speech. Own the model serving stack that powers Together's voice platform across STT, TTS, and speech-to-speech. Work directly with state-of-the-art accelerators (H100s, H200s, B200s) to optimize voice model inference. Collaborate with model partners (Cartesia, Deepgram, Rime, and others) to bring their models to production on Together's infrastructure. Build quality evaluation frameworks that guide model selection for customers and inform the roadmap. Join a small, early-stage team with outsized impact on a fast-growing product area. Responsibilities Optimize inference performance for voice models (STT, TTS, speech-to-speech) - targeting best-in-class TTFB, throughput, and GPU utilization across our curated model set. Productionize voice models on serverless and dedicated endpoints, including batching strategies, streaming inference, and memory management tailored to audio workloads. Build and maintain a voice model evaluation framework - measuring WER across accents, languages, and noise conditions for STT; naturalness, latency, and pronunciation accuracy for TTS. Enable new model architectures in our serving stack as the field evolves, including audio-native LLMs, codec-based models (SNAC), and speech-to-speech systems. Collaborate with model partners to integrate and optimize their models (Cartesia, Deepgram, Rime, and others) running on Together's infrastructure. Profile and debug performance across the full inference stack - from GPU kernels to framework-level bottlenecks - and ship measurable improvements. Work with the platform engineering side of the team to ensure the serving layer meets the latency and reliability requirements of real-time voice APIs. Contribute to voice model fine-tuning capabilities (STT and TTS) as we enable customers to build differentiated voice experiences on Together. Lay the groundwork for multiple new products down the line. Requirements 5+ years of experience in ML engineering, with a focus on model serving, inference optimization, or ML infrastructure. Hands-on experience with LLM serving engines (vLLM, SGLang, TensorRT-LLM, or similar) - comfortable reading and modifying engine internals, not just using APIs. Strong proficiency in Python and PyTorch; experience with GPU profiling and optimization (CUDA, memory management, kernel-level debugging). Track record of shipping ML systems to production with measurable performance improvements. Strong product sense - you think about what developers building voice apps actually need, not just what's technically interesting. Comfort working on a small, early-stage team where you'll wear multiple hats and move fast. Experience with speech and audio ML (ASR, TTS architectures, audio signal processing) is a strong plus but not required - you can learn this quickly if you have strong ML engineering fundamentals. Familiarity with audio codecs and tokenization schemes (SNAC, Encodec, DAC) is a plus. Experience training or fine-tuning speech models is a plus. Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field, or equivalent practical experience About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. Compensation We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $200,000 - $260,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge. Equal Opportunity Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more. Please see our privacy policy at
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Visa's Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you'll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. Join the Commercial and Money Movement Solutions (CMS) organization as a Senior Staff Engineer focused on leveraging AI to solve complex engineering and customer challenges. You will work on innovative solutions that combine deep technical expertise with AI/ML capabilities to enhance developer productivity, improve customer experiences, and drive next-generation commercial payment and money movement technology for B2B, B2C, P2P, and G2C flows. The Work itself: Design and architect AI-powered solutions that solve engineering productivity challenges and enhance customer-facing products across CMS Lead technical initiatives leveraging agentic AI, LLMs, and machine learning to automate workflows and improve software quality Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings Drive experimentation with emerging AI technologies and make technical decisions on adoption and standards Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions. Develop scalable platforms and services that integrate AI capabilities into Visa's commercial payment and money movement systems Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities Essential Functions: Works directly with product owners to gather and refine requirements across products, adding and taking into account existing tools and solutions across the organization. Develops and designs advanced architect solutions that are robust and scalable, integrating AI capabilities with Visa's technical ecosystem Provides domain expertise on the development of technical documentation of solutions and contributes to standard processes in technical documentation as needed. Plays a key role in the development and delivery of new features across products from end-to-end. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD • Master's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum six (6) years of experience in a directly related field OR Bachelor's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum eight (8) years of experience in a directly related field OR Minimum eleven (11) years of directly related experience • Experience with AI agent frameworks, LLMs, or generative AI applications (Claude, GPT, etc.) • Knowledge of AI-powered development tools (Claude Code, GitHub Copilot, etc.) or building similar systems • Experience applying AI to solve engineering challenges or customer-facing product features • Understanding of commercial payments, money movement, B2B payables, or payment processing • Experience with cloud platforms (AWS, Azure, GCP) and modern architectures • Knowledge of API design, microservices, and distributed systems • Experience leading cross-team technical initiatives The Skills You Bring • Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale • AI Expertise: Experience with agentic AI, LLMs, AI agent frameworks, or machine learning applications • Challenge the Status Quo: Comfort in pushing the boundaries, 'hacking' beyond traditional solutions • Language Expertise: Expertise in one or more general development languages (e.g., Java, C#, C++) • Architecture & Design: Proven track record designing scalable systems that integrate AI capabilities • Builder: Experience building AI-powered features for engineering productivity or customer-facing applications • Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc. • Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams • We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn't work with payments technology or web applications before joining Visa. Information for US Applicants For roles located in the US, the estimated salary range for this position is $169,100.00 to $ 270,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
09/25/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Visa's Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you'll get to work on complex distributed systems and solve massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms. The Opportunity: We are looking for Versatile, curious, and energetic Software Engineers who embrace solving complex challenges on a global scale. As a Visa Software Engineer, you will be an integral part of a multi-functional development team inventing, designing, building, and testing software products that reach a truly global customer base. Join the Commercial and Money Movement Solutions (CMS) organization as a Senior Staff Engineer focused on leveraging AI to solve complex engineering and customer challenges. You will work on innovative solutions that combine deep technical expertise with AI/ML capabilities to enhance developer productivity, improve customer experiences, and drive next-generation commercial payment and money movement technology for B2B, B2C, P2P, and G2C flows. The Work itself: Design and architect AI-powered solutions that solve engineering productivity challenges and enhance customer-facing products across CMS Lead technical initiatives leveraging agentic AI, LLMs, and machine learning to automate workflows and improve software quality Collaborate multi-functionally to create design artifacts and develop best-in-class software solutions for multiple Visa technical offerings Drive experimentation with emerging AI technologies and make technical decisions on adoption and standards Develop robust and scalable products intended for a myriad of customers including end-user merchants, b2b, and business to government solutions. Develop scalable platforms and services that integrate AI capabilities into Visa's commercial payment and money movement systems Opportunities to make a difference on a global or local scale through mentorship and continued learning opportunities Essential Functions: Works directly with product owners to gather and refine requirements across products, adding and taking into account existing tools and solutions across the organization. Develops and designs advanced architect solutions that are robust and scalable, integrating AI capabilities with Visa's technical ecosystem Provides domain expertise on the development of technical documentation of solutions and contributes to standard processes in technical documentation as needed. Plays a key role in the development and delivery of new features across products from end-to-end. This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications • 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications • 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD • Master's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum six (6) years of experience in a directly related field OR Bachelor's degree in Math, Science, Engineering, Computer Science, Information Systems or related field AND minimum eight (8) years of experience in a directly related field OR Minimum eleven (11) years of directly related experience • Experience with AI agent frameworks, LLMs, or generative AI applications (Claude, GPT, etc.) • Knowledge of AI-powered development tools (Claude Code, GitHub Copilot, etc.) or building similar systems • Experience applying AI to solve engineering challenges or customer-facing product features • Understanding of commercial payments, money movement, B2B payables, or payment processing • Experience with cloud platforms (AWS, Azure, GCP) and modern architectures • Knowledge of API design, microservices, and distributed systems • Experience leading cross-team technical initiatives The Skills You Bring • Energy and Experience: A growth mindset that is curious and passionate about technologies and enjoys challenging projects on a global scale • AI Expertise: Experience with agentic AI, LLMs, AI agent frameworks, or machine learning applications • Challenge the Status Quo: Comfort in pushing the boundaries, 'hacking' beyond traditional solutions • Language Expertise: Expertise in one or more general development languages (e.g., Java, C#, C++) • Architecture & Design: Proven track record designing scalable systems that integrate AI capabilities • Builder: Experience building AI-powered features for engineering productivity or customer-facing applications • Learner: Constant drive to learn new technologies such as Angular, React, Kubernetes, Docker, etc. • Partnership: Experience collaborating with Product, Test, Dev-ops, and Agile/Scrum teams • We do not expect that any single candidate would fulfill all of these characteristics. For instance, we have exciting team members who are really focused on building scalable systems but didn't work with payments technology or web applications before joining Visa. Information for US Applicants For roles located in the US, the estimated salary range for this position is $169,100.00 to $ 270,800.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
Position Summary Samsung Ads focuses on enabling brands to connect with Samsung audiences across all devices. As an international company, Engineers at Samsung work on big complex projects with stakeholders and teams located around the globe. Our purpose is to deliver unparalleled results for our customers. Samsung Ads uniquely transforms the advertising landscape by using comprehensive data to build the world's most intelligent connected audience platform. We deliver on Samsung Electronics' 51-year commitment to excellence through smart, easy, effective advertising solutions to make advanced video advertising work. Role and Responsibilities What you will do As a Senior GenAI Engineer, you will be the hands-on driving force behind AI-powered productivity and automation across Samsung Ads. Reporting to the IT Director, you will work directly with non-technical teams across every department to identify, build, deploy, and scale Generative AI solutions that fundamentally improve how people work. You will partner closely with a dedicated Product Owner and the Principal Architect from Engineering to shape and execute our GenAI enablement roadmap. While Engineering builds core platform capabilities, your focus is on the last mile - putting powerful, safe, and practical AI tools directly into the hands of business users. A critical dimension of this role is designing and orchestrating agentic AI workflows - multi-step, autonomous processes where AI agents plan, reason, use tools, and execute complex tasks with minimal human intervention. As enterprises shift from simple prompt-based AI interactions toward agentic architectures, you will be responsible for identifying where autonomous AI workflows can replace manual, multi-step business processes - and building them safely within Samsung's governance framework. You are expected to be opinionated, delivery-oriented, and security-conscious in everything you do. Key Responsibilities Design, build, and deploy GenAI-powered automation and productivity solutions for business teams across Sales, Marketing, Finance, HR, Legal, and Operations. Architect and implement complex agentic workflows that enable AI agents to autonomously handle multi-step business processes - including task decomposition, tool orchestration, decision-making loops, and human-in-the-loop checkpoints where required. Design and maintain multi-agent orchestration patterns, where specialized AI agents collaborate on complex tasks such as document analysis, research synthesis, data transformation, and cross-system process automation. Serve as the primary hands-on technical resource for our AI tooling ecosystem, including AWS Bedrock, Claude, AnythingLLM, and our homegrown GenAI platform built on open-source tools. Identify high-impact use cases through direct engagement with business stakeholders, translating pain points into practical AI-driven workflows - with a specific focus on processes that benefit from autonomous, adaptive execution rather than simple prompt-response interactions. Build and maintain custom AI agents, prompt chains, RAG pipelines, and integrations tailored to departmental needs. Integrate agentic AI workflows with existing enterprise applications and business systems (e.g., CRM, HRIS, finance tools, collaboration platforms) to enable end-to-end process automation across departments. Define guardrails, escalation paths, and human oversight mechanisms for agentic workflows to ensure autonomous AI actions remain safe, auditable, and aligned with Samsung's internal policies. Develop evaluation frameworks for AI tools and agentic systems based on production requirements - including accuracy benchmarks, latency, cost-per-task, and compliance criteria - not vendor demos. Evaluate and recommend new AI tools and vendors in collaboration with the Architecture team, including hands-on proof-of-concepts to support build-vs-buy decisions. Ensure every AI solution deployed adheres to Samsung's internal security and privacy policies, including data classification requirements mandated by HQ (South Korea). Proactively assess data exposure risks of any AI tool or workflow before deployment and maintain a clear inventory of all AI tools, their data flows, and classification levels. Define and track KPIs for every AI initiative: workflows automated, hours saved, adoption rates, and user satisfaction. Develop training sessions, documentation, and self-service resources to accelerate AI adoption among non-technical users. (Nice-to-have) Required Skills And Experience 3+ years of hands-on experience with Generative AI tools and platforms, with a proven track record of delivering successful productivity or automation projects adopted by real users. 5+ years of experience in IT, automation, systems engineering, or a related technical role. Proven experience delivering at least one end-to-end production deployment of a GenAI or agentic AI system in an enterprise environment - not just prototypes or POCs, but solutions actively used by business teams. Strong hands-on proficiency with AWS Bedrock, Anthropic Claude (API, Claude Code, prompt engineering), and open-source AI tooling. Demonstrated experience designing agentic AI workflows - including multi-agent orchestration, tool-use patterns, autonomous task execution, and deterministic execution patterns suitable for enterprise environments. Experience with agentic AI frameworks and protocols such as Model Context Protocol (MCP), LangGraph, Claude Agent SDK, Amazon Bedrock Agents, CrewAI, or equivalent orchestration tools for building autonomous, multi-step AI workflows. Understanding of agentic design patterns: reflection, planning, tool use, multi-agent collaboration, human-in-the-loop checkpoints, and error recovery strategies. Working experience with RAG architectures, vector databases, embeddings, and self-hosted AI knowledge base platforms (e.g., AnythingLLM). Proficiency in Python for scripting, automation, and AI tool integration. Strong understanding of data classification frameworks, LLM-specific risks (data leakage, prompt injection, hallucination, unintended autonomous actions), and corporate security policies in a multinational enterprise environment. Experience working with non-technical stakeholders and translating business needs into technical solutions. A solution-oriented, opinionated approach - you have a clear point of view on what works, what scales, and what's hype. Highly organized and able to manage multiple priorities in a fast-paced environment. Strong communication skills and the ability to convey AI capabilities and limitations to any audience. Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent practical experience). Skills and Qualifications Nice-to-Have Experience with Model Context Protocol (MCP) for building tool-integrated AI agents at scale. Experience integrating AI workflows with enterprise business systems (Salesforce, SAP, ServiceNow, Workday, or similar). Background in Ad Tech or experience working in a digital advertising environment. Familiarity with change management frameworks and delivering training/enablement programs at scale. Experience navigating multinational corporate governance structures (especially APAC-headquartered companies). Relevant certifications: AWS AI Practitioner, AWS ML Specialty, Anthropic Claude certification, or equivalent. Experience building or managing AI Centers of Excellence or similar enablement functions. Fluency in Korean. Why This Role Is Different Unlike GenAI roles buried inside engineering orgs building internal tooling, this position puts you at the center of a company-wide AI transformation. You will have direct visibility with business leadership, a mandate to move fast, and the autonomy to shape how an entire organization works with AI. You won't be optimizing model benchmarks - you'll be measured on business impact. Workflows automated. Hours saved. Teams empowered. Processes reinvented. If you've been looking for a role where Generative AI meets real-world business problems at scale, and where you have the freedom to be opinionated about how to solve them, this is it. If you're interested in joining a growing team building an outstanding, world-class advertising organization with a relentless focus on design and customer experience, you've come to the right place! Salary Range Pay Transparency: Compensation for this role, for candidates based in New York, NY is expected to be between Base range: $170,000 $210,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role. Regular full-time employees (salaried or hourly) have access to benefits including: Medical, Dental, Vision, Life Insurance, 401(k), Employee Purchase Program, Tuition Assistance (after 6 months), Paid Time Off, Student Loan Program (after 6 months), Wellness Incentives, and many more. Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here. At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves . click apply for full job details
09/25/2026
Full time
Position Summary Samsung Ads focuses on enabling brands to connect with Samsung audiences across all devices. As an international company, Engineers at Samsung work on big complex projects with stakeholders and teams located around the globe. Our purpose is to deliver unparalleled results for our customers. Samsung Ads uniquely transforms the advertising landscape by using comprehensive data to build the world's most intelligent connected audience platform. We deliver on Samsung Electronics' 51-year commitment to excellence through smart, easy, effective advertising solutions to make advanced video advertising work. Role and Responsibilities What you will do As a Senior GenAI Engineer, you will be the hands-on driving force behind AI-powered productivity and automation across Samsung Ads. Reporting to the IT Director, you will work directly with non-technical teams across every department to identify, build, deploy, and scale Generative AI solutions that fundamentally improve how people work. You will partner closely with a dedicated Product Owner and the Principal Architect from Engineering to shape and execute our GenAI enablement roadmap. While Engineering builds core platform capabilities, your focus is on the last mile - putting powerful, safe, and practical AI tools directly into the hands of business users. A critical dimension of this role is designing and orchestrating agentic AI workflows - multi-step, autonomous processes where AI agents plan, reason, use tools, and execute complex tasks with minimal human intervention. As enterprises shift from simple prompt-based AI interactions toward agentic architectures, you will be responsible for identifying where autonomous AI workflows can replace manual, multi-step business processes - and building them safely within Samsung's governance framework. You are expected to be opinionated, delivery-oriented, and security-conscious in everything you do. Key Responsibilities Design, build, and deploy GenAI-powered automation and productivity solutions for business teams across Sales, Marketing, Finance, HR, Legal, and Operations. Architect and implement complex agentic workflows that enable AI agents to autonomously handle multi-step business processes - including task decomposition, tool orchestration, decision-making loops, and human-in-the-loop checkpoints where required. Design and maintain multi-agent orchestration patterns, where specialized AI agents collaborate on complex tasks such as document analysis, research synthesis, data transformation, and cross-system process automation. Serve as the primary hands-on technical resource for our AI tooling ecosystem, including AWS Bedrock, Claude, AnythingLLM, and our homegrown GenAI platform built on open-source tools. Identify high-impact use cases through direct engagement with business stakeholders, translating pain points into practical AI-driven workflows - with a specific focus on processes that benefit from autonomous, adaptive execution rather than simple prompt-response interactions. Build and maintain custom AI agents, prompt chains, RAG pipelines, and integrations tailored to departmental needs. Integrate agentic AI workflows with existing enterprise applications and business systems (e.g., CRM, HRIS, finance tools, collaboration platforms) to enable end-to-end process automation across departments. Define guardrails, escalation paths, and human oversight mechanisms for agentic workflows to ensure autonomous AI actions remain safe, auditable, and aligned with Samsung's internal policies. Develop evaluation frameworks for AI tools and agentic systems based on production requirements - including accuracy benchmarks, latency, cost-per-task, and compliance criteria - not vendor demos. Evaluate and recommend new AI tools and vendors in collaboration with the Architecture team, including hands-on proof-of-concepts to support build-vs-buy decisions. Ensure every AI solution deployed adheres to Samsung's internal security and privacy policies, including data classification requirements mandated by HQ (South Korea). Proactively assess data exposure risks of any AI tool or workflow before deployment and maintain a clear inventory of all AI tools, their data flows, and classification levels. Define and track KPIs for every AI initiative: workflows automated, hours saved, adoption rates, and user satisfaction. Develop training sessions, documentation, and self-service resources to accelerate AI adoption among non-technical users. (Nice-to-have) Required Skills And Experience 3+ years of hands-on experience with Generative AI tools and platforms, with a proven track record of delivering successful productivity or automation projects adopted by real users. 5+ years of experience in IT, automation, systems engineering, or a related technical role. Proven experience delivering at least one end-to-end production deployment of a GenAI or agentic AI system in an enterprise environment - not just prototypes or POCs, but solutions actively used by business teams. Strong hands-on proficiency with AWS Bedrock, Anthropic Claude (API, Claude Code, prompt engineering), and open-source AI tooling. Demonstrated experience designing agentic AI workflows - including multi-agent orchestration, tool-use patterns, autonomous task execution, and deterministic execution patterns suitable for enterprise environments. Experience with agentic AI frameworks and protocols such as Model Context Protocol (MCP), LangGraph, Claude Agent SDK, Amazon Bedrock Agents, CrewAI, or equivalent orchestration tools for building autonomous, multi-step AI workflows. Understanding of agentic design patterns: reflection, planning, tool use, multi-agent collaboration, human-in-the-loop checkpoints, and error recovery strategies. Working experience with RAG architectures, vector databases, embeddings, and self-hosted AI knowledge base platforms (e.g., AnythingLLM). Proficiency in Python for scripting, automation, and AI tool integration. Strong understanding of data classification frameworks, LLM-specific risks (data leakage, prompt injection, hallucination, unintended autonomous actions), and corporate security policies in a multinational enterprise environment. Experience working with non-technical stakeholders and translating business needs into technical solutions. A solution-oriented, opinionated approach - you have a clear point of view on what works, what scales, and what's hype. Highly organized and able to manage multiple priorities in a fast-paced environment. Strong communication skills and the ability to convey AI capabilities and limitations to any audience. Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent practical experience). Skills and Qualifications Nice-to-Have Experience with Model Context Protocol (MCP) for building tool-integrated AI agents at scale. Experience integrating AI workflows with enterprise business systems (Salesforce, SAP, ServiceNow, Workday, or similar). Background in Ad Tech or experience working in a digital advertising environment. Familiarity with change management frameworks and delivering training/enablement programs at scale. Experience navigating multinational corporate governance structures (especially APAC-headquartered companies). Relevant certifications: AWS AI Practitioner, AWS ML Specialty, Anthropic Claude certification, or equivalent. Experience building or managing AI Centers of Excellence or similar enablement functions. Fluency in Korean. Why This Role Is Different Unlike GenAI roles buried inside engineering orgs building internal tooling, this position puts you at the center of a company-wide AI transformation. You will have direct visibility with business leadership, a mandate to move fast, and the autonomy to shape how an entire organization works with AI. You won't be optimizing model benchmarks - you'll be measured on business impact. Workflows automated. Hours saved. Teams empowered. Processes reinvented. If you've been looking for a role where Generative AI meets real-world business problems at scale, and where you have the freedom to be opinionated about how to solve them, this is it. If you're interested in joining a growing team building an outstanding, world-class advertising organization with a relentless focus on design and customer experience, you've come to the right place! Salary Range Pay Transparency: Compensation for this role, for candidates based in New York, NY is expected to be between Base range: $170,000 $210,000. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role. Regular full-time employees (salaried or hourly) have access to benefits including: Medical, Dental, Vision, Life Insurance, 401(k), Employee Purchase Program, Tuition Assistance (after 6 months), Paid Time Off, Student Loan Program (after 6 months), Wellness Incentives, and many more. Please visit Samsung membership to see Privacy Policy, which defaults according to your location. You can change Country/Language at the bottom of the page. If you are European Economic Resident, please click here. At Samsung, we believe that innovation and growth are driven by an inclusive culture and a diverse workforce. We aim to create a global team where everyone belongs and has equal opportunities, inspiring our talent to be their true selves . click apply for full job details
Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs' Intelligent Connectivity Platform integrates CXL , Ethernet, NVLink, PCIe , and UALink semiconductor-based technologies with the company's COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company's custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at . Role Overview Astera Labs is seeking a Principal Product Applications Engineer to join our Taurus Ethernet Smart Cable Modules team and drive customer success at the forefront of AI infrastructure connectivity. As data centers scale to meet explosive AI workload demands, our Taurus products are enabling the high-bandwidth, low-latency Ethernet fabric connections that power next-generation GPU clusters and disaggregated computing architectures. In this role, you'll be the technical expert customers rely on to successfully deploy Taurus Ethernet solutions in their most demanding environments. You'll work hands-on with hyperscalers, OEMs, and AI system builders to debug complex physical layer challenges, deliver technical enablement, and ensure seamless product integration. Your customer insights will directly influence how we evolve our products to meet the market's most pressing connectivity needs. This is a unique opportunity to combine deep Ethernet and physical layer expertise with meaningful customer impact at a hyper-growth company defining the future of AI connectivity. You'll collaborate across engineering, sales, and product teams while building relationships with the world's most innovative technology companies. Key Responsibilities Customer Technical Engagement Serve as the primary technical resource for customers evaluating and deploying Taurus Ethernet Smart Cable Modules Deliver technical presentations, product training, and hands-on demonstrations to customer engineering teams Build trusted relationships with key accounts and drive successful product adoption System-Level Debug & Validation Support Lead root cause analysis and debugging of complex Ethernet physical layer and link issues in customer systems Support customer lab bring-up, characterization, and system validation activities Develop and execute test plans to reproduce and resolve customer-reported issues Technical Documentation & Enablement Create application notes, integration guides, and best practices documentation for Ethernet system implementation Develop technical collateral that accelerates customer time-to-deployment Contribute to product documentation including datasheets and user guides Cross-Functional Collaboration Partner with product management and engineering to translate customer feedback into product requirements Support sales teams with technical expertise during pre-sales and post-sales engagements Represent voice of the customer in internal roadmap discussions and feature prioritization Willingness to travel for work within US and to Asia. Basic Qualifications Bachelor's degree in Electrical Engineering, Computer Engineering, or related field 8+ years of experience in applications engineering, technical support, or system engineering roles Strong understanding of Ethernet physical layer specifications (100G/200G/400G/800G) Hands-on experience with lab equipment including oscilloscopes, protocol analyzers, and BER test tools Experience debugging high-speed serial interfaces and signal integrity challenges Excellent written and verbal communication skills with ability to convey complex technical concepts Preferred Qualifications Experience with optical modules, active cables, or similar high-speed connectivity components Familiarity with AI/ML system architectures, GPU clusters, or data center networking Background in signal integrity analysis and simulation Scripting proficiency (Python, TCL) for test automation and data analysis Prior experience working with hyperscale or enterprise data center customers Knowledge of Ethernet consortium specifications and industry standards Salary range is $158,400 to $230,000 depending on experience, level, and business need. This role may be eligible for discretionary bonus, incentives and benefits. We know that creativity and innovation happen more often when teams include diverse ideas, backgrounds, and experiences, and we actively encourage everyone with relevant experience to apply, including people of color, LGBTQ+ and non-binary people, veterans, parents, and individuals with disabilities.
09/25/2026
Full time
Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs' Intelligent Connectivity Platform integrates CXL , Ethernet, NVLink, PCIe , and UALink semiconductor-based technologies with the company's COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company's custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at . Role Overview Astera Labs is seeking a Principal Product Applications Engineer to join our Taurus Ethernet Smart Cable Modules team and drive customer success at the forefront of AI infrastructure connectivity. As data centers scale to meet explosive AI workload demands, our Taurus products are enabling the high-bandwidth, low-latency Ethernet fabric connections that power next-generation GPU clusters and disaggregated computing architectures. In this role, you'll be the technical expert customers rely on to successfully deploy Taurus Ethernet solutions in their most demanding environments. You'll work hands-on with hyperscalers, OEMs, and AI system builders to debug complex physical layer challenges, deliver technical enablement, and ensure seamless product integration. Your customer insights will directly influence how we evolve our products to meet the market's most pressing connectivity needs. This is a unique opportunity to combine deep Ethernet and physical layer expertise with meaningful customer impact at a hyper-growth company defining the future of AI connectivity. You'll collaborate across engineering, sales, and product teams while building relationships with the world's most innovative technology companies. Key Responsibilities Customer Technical Engagement Serve as the primary technical resource for customers evaluating and deploying Taurus Ethernet Smart Cable Modules Deliver technical presentations, product training, and hands-on demonstrations to customer engineering teams Build trusted relationships with key accounts and drive successful product adoption System-Level Debug & Validation Support Lead root cause analysis and debugging of complex Ethernet physical layer and link issues in customer systems Support customer lab bring-up, characterization, and system validation activities Develop and execute test plans to reproduce and resolve customer-reported issues Technical Documentation & Enablement Create application notes, integration guides, and best practices documentation for Ethernet system implementation Develop technical collateral that accelerates customer time-to-deployment Contribute to product documentation including datasheets and user guides Cross-Functional Collaboration Partner with product management and engineering to translate customer feedback into product requirements Support sales teams with technical expertise during pre-sales and post-sales engagements Represent voice of the customer in internal roadmap discussions and feature prioritization Willingness to travel for work within US and to Asia. Basic Qualifications Bachelor's degree in Electrical Engineering, Computer Engineering, or related field 8+ years of experience in applications engineering, technical support, or system engineering roles Strong understanding of Ethernet physical layer specifications (100G/200G/400G/800G) Hands-on experience with lab equipment including oscilloscopes, protocol analyzers, and BER test tools Experience debugging high-speed serial interfaces and signal integrity challenges Excellent written and verbal communication skills with ability to convey complex technical concepts Preferred Qualifications Experience with optical modules, active cables, or similar high-speed connectivity components Familiarity with AI/ML system architectures, GPU clusters, or data center networking Background in signal integrity analysis and simulation Scripting proficiency (Python, TCL) for test automation and data analysis Prior experience working with hyperscale or enterprise data center customers Knowledge of Ethernet consortium specifications and industry standards Salary range is $158,400 to $230,000 depending on experience, level, and business need. This role may be eligible for discretionary bonus, incentives and benefits. We know that creativity and innovation happen more often when teams include diverse ideas, backgrounds, and experiences, and we actively encourage everyone with relevant experience to apply, including people of color, LGBTQ+ and non-binary people, veterans, parents, and individuals with disabilities.