Search AI Jobs
16,537 published AI roles — filter by keyword, skill, seniority or contract type.
16,537 results
Updated
Revenue & Technical Accounting Manager
ABOUT ABRIDGE Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients. Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems. We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. THE ROLE We're looking for a Revenue & Technical Accounting Manager to own how Abridge accounts for its most complex arrangements, and to design the agentic systems that let a lean team do that work at scale. Abridge's AI is used by clinicians at hundreds of health systems. As we grow into a multi-product platform, our commercial and business operations are becoming more sophisticated, and each one brings new accounting challenges. The role has three parts: - Revenue accounting. Turn those arrangements into accurate, well-documented, audit-ready financials, and get the answer right before the close, not after. - Technical accounting. Research and document the questions a fast-growing, pre-IPO company faces: stock-based compensation, financings, M&A, and customer incentives paid in equity. Coordinate with external specialists on technical accounting matters requiring specialized expertise, managing inputs, timelines, and deliverables. - Agentic systems design. You'll be on point to design and build the agentic systems that take in our agreements, pull out the terms that matter, and account for them, with people reviewing the judgment calls. This is systems design work, not just using tools someone else built. No coding background is required—just curiosity, openness to learning, and a willingness to experiment and build. You'll report to our Senior Manager of Revenue & Technical Accounting. You'll work closely with: - our GL Accounting Manager, who runs the close - our FinOps Lead, who handles day-to-day subscription setups and basic contract changes - our Systems, RevOps, Legal, and Deal Desk partners - our Big 4 auditors We're an automation- and agentic-first team. We build our own apps, agents, and workflows so a lean team can keep up with a fast-scaling business, and you'll help set the direction for agentic accounting and technical research at Abridge. WHAT YOU'LL DO Own Revenue Accounting - Own the revenue accounting that feeds our monthly, quarterly, and year-end close: complex revenue entries, deferred revenue and unbilled rollforwards, and revenue flux review. Our GL Accounting Manager runs the close. You make sure revenue is right going in. - Review complex new and amended customer contracts. That means identifying performance obligations, determining transaction price, allocating standalone selling price (SSP), and flagging non-standard terms early with Deal Desk and Legal. - Partner with our FinOps Lead, who owns standard subscription setups and basic contract modifications. You're the escalation point when a contract gets complicated. - Own the accounting for consideration payable to customers, including service credits and equity-based customer incentives such as warrants. This includes quarterly assessments of whether milestones are probable, and the resulting catch-up adjustments. - Maintain our SSP analysis. Own the accounting for partner revenue-share arrangements and for capitalized contract costs (commissions under ASC 340-40). Research, Document, and Defend Technical Positions - Research and draft decision-ready memos on the questions a pre-IPO company faces: stock-based compensation, financings and preferred stock, M&A and purchase accounting, and equity-based customer incentives. Other areas include ASC 606, ASC 842 leases, and ASC 350-40 capitalized software. - Settle technical positions ahead of the audit, not during it. Partner with our auditors and external advisors so conclusions are agreed before the books are final. - Keep our revenue recognition policy and related accounting policies current as new products, pricing models, and transactions come up. - Translate complex accounting into plain language for commercial, product, and executive stakeholders. Help them understand how deal structure drives the P&L. Design Agentic Systems for Our Agreements - Design and build the agentic system that takes in new and amended agreements, extracts pricing, terms, and non-standard clauses, and drafts the accounting treatment and entries for review. - Define the workflow end to end: where agents do the work, where a person reviews, the controls and audit trail, and the exception path. - Co-own oversight of our revenue agent with our FinOps Lead: review its output, refine its rules, and keep improving its accuracy. - Partner with our Systems team on the data flow from Salesforce and our contract management system into our ERP. - Bring the same approach to technical research: agents that pull guidance, draft first-pass memos, and keep a record of our positions. Be Audit-Ready - Serve as a primary point of contact for our Big 4 auditors on revenue and technical accounting areas: PBC schedules, walkthroughs, and responses to technical queries. - Draft the revenue and technical accounting sections of our annual financial statements and footnotes. - Design and document the key controls over revenue, including the controls around our agentic systems, as we build toward public-company readiness. WHAT YOU’LL BRING - Big 4 foundation: Assurance or Accounting Advisory experience at a Big 4 firm, at Senior to Manager level. We're open to candidates coming directly from Big 4. Some private-industry experience is a plus. - Technical strength: A very strong technical foundation, with exposure across revenue recognition, stock-based compensation, financings, M&A, and leases. - Credentials: Active CPA license. - ASC 606 experience: Hands-on ASC 606 experience, in any industry. - Memo writing that holds up: You've written technical memos that auditors accepted, or evaluated technical memos as an auditor, and you're comfortable defending a position with a Big 4 engagement team. - Builder mindset (required): You've built apps, scripts, or automations, or you're eager to build agentic AI workflows, and you want to help shape how agentic accounting and research work here. Everyone on our team builds. Advanced Excel/Google Sheets and working knowledge of SQL, Python, or AI tools will help you hit the ground running. - Systems thinking: You can design a workflow end to end, including the data, the controls, and the exception handling, not just automate a single task. - Communication: You can explain a complex accounting conclusion to a sales leader in two sentences. BONUS POINTS IF… - Some private-industry experience, ideally owning revenue recognition at a high-growth SaaS, AI, or tech company. - Apps, agents, or automations you've built that other people use. - Worked through stock-based compensation, financings, or M&A at a pre-IPO or recently public company. - Applied ASC 718 to warrants or equity instruments issued to customers or partners. - Experience with ASC 842, ASC 340-40, or purchase accounting (ASC 805). - Led or supported an ERP or revenue-system implementation. - Worked with health systems or other enterprise customers operating under master agreements with many statements of work. - Exposure to IPO readiness, SOX, or SEC reporting. We value people who want to learn new things, and we know that great team members might not perfectly match a job description. If you're interested in the role but aren't sure whether you're a good fit, we'd still like to hear from you. This role is based in San Francisco. You must be able to work in our SF office on a regular hybrid schedule (M/W/F). WHY WORK AT ABRIDGE? At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month. Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business. Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients. We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life. If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. HOW WE TAKE CARE OF ABRIDGERS: - Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees - Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families. - Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA. - Paid Parental Leave: Generous paid parental leave for all full-time employees. - Family Forming Benefits: Resources and financial support to help you build your family. - 401(k) Matching: Contribution matching to help invest in your future. - Personal Device Allowance: Tax free funds for personal device usage. - Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits. - Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more. - Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals. - Sabbatical Leave: Paid Sabbatical Leave after 5 years of employment. - Compensation and Equity: Competitive compensation and equity grants for full time employees. - ... and much more! EQUAL OPPORTUNITY EMPLOYER Abridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. We're committed to providing reasonable accommodations throughout the interview process. Once you submit your application, we'll follow up with details on how to request an accommodation for interviewing, completing any assessments, or otherwise participating in the selection process. STAYING SAFE - PROTECT YOURSELF FROM RECRUITMENT FRAUD We are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com http://abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article https://consumer.ftc.gov/consumer-alerts/2023/05/scammers-are-hijacking-job-ads-heres-how-spot-fakes. Please exercise caution and cease communications if something feels suspicious about your interactions.
Partner Success Director
ABOUT ABRIDGE Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients. Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems. We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. THE ROLE As a Partner Success Director at Abridge, you own the relationship with your health system partners — full stop. You are the face of Abridge: the person executives call, the person clinicians trust, and the person who knows each partner’s people, priorities, and growth potential better than anyone. This is a high-touch, high-ownership role. You’ll go deep with a focused book and deliver a level of service, urgency, and strategic partnership that sets Abridge apart. WHAT YOU’LL DO - Partner Development: - Build and maintain strong executive, operational, and technical relationships across your health system partners — going wide enough to ensure no critical relationship is a single point of failure, and deep enough that partners see Abridge as indispensable. - Be the first call your partners make — serving as the primary point of contact and providing clear, timely, and reliable communication that earns confidence at every touchpoint and keeps all stakeholders informed and aligned. - Act as a trusted advisor to health system leaders, offering strategic guidance and best practices that connect Abridge’s capabilities to the partner’s clinical and operational priorities. - Know your partner data inside and out — usage trends, adoption patterns, growth potential — and use it to spot early signals, get ahead of risk, and build a compelling, data-backed story for every stakeholder conversation. - Conduct regular executive business reviews with key stakeholders, assessing product performance, sharing value attainment, and aligning around continued opportunity to expand impact. - Collaborate with the sales team to identify and advance expansion opportunities, outlining goals, milestones, and action plans and presenting new features and solutions with clear articulation of benefits and ROI. - Track partner expansion metrics and contribute directly to revenue growth and retention targets. - Clinician Success: - Build deep, trusted relationships with clinicians and healthcare professionals across your strategic customers — understanding their workflows, pain points, and objectives well enough to anticipate needs before they surface. - Offer guidance and best practices that genuinely move the needle for clinicians — connecting Abridge’s capabilities directly to their workflows, productivity, and patient outcomes. - Provide product training and onboarding support to clinicians, ensuring a smooth transition and optimal utilization of our solutions. - Proactively identify and address any issues or concerns raised by clinicians, collaborating with internal teams to provide timely resolutions. - Monitor clinician satisfaction and adoption data closely, identifying early signals of engagement or friction and converting them into targeted interventions that drive scaled, sustainable utilization. - Partner Advocacy: - Partner internally across sales, product, and other cross-functional teams to drive partner growth, remove barriers to adoption, and ensure partners experience Abridge at its best. - Serve as the voice of the customer internally, sharing partner insights, feedback, and success stories to drive product and service improvements. - Contribute to the development of partner success resources and best practices, such as case studies, engagement materials, and new communication strategies, ensuring your wins become team wins WHAT YOU’LL BRING - Proven experience and a passion for customer, client facing roles, including but not excluded to a background in management consulting, enterprise SaaS, or health system innovation. - Strong understanding of the healthcare landscape, including the dynamics and challenges faced by large health enterprises and clinicians. - Strong problem-solving skills, with a proactive and results-oriented mindset. - Thrive in a high-touch model: you’re managing a focused book of strategic partners, not a high-volume portfolio. The depth of your relationships and the quality of your outcomes matter far more than breadth. - Excellent communication and interpersonal skills, with the ability to build trust and establish rapport with clinicians and stakeholders at all levels. - Technical aptitude and ability to quickly understand and effectively communicate complex software solutions. - Genuine passion for Abridge’s mission — people who are energized by what we’re building and why it needs to exist - Strong organizational and project management capabilities. WHY WORK AT ABRIDGE? At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month. Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business. Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients. We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life. If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. HOW WE TAKE CARE OF ABRIDGERS: - Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees - Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families. - Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA. - Paid Parental Leave: Generous paid parental leave for all full-time employees. - Family Forming Benefits: Resources and financial support to help you build your family. - 401(k) Matching: Contribution matching to help invest in your future. - Personal Device Allowance: Tax free funds for personal device usage. - Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits. - Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more. - Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals. - Sabbatical Leave: Paid Sabbatical Leave after 5 years of employment. - Compensation and Equity: Competitive compensation and equity grants for full time employees. - ... and much more! EQUAL OPPORTUNITY EMPLOYER Abridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. We're committed to providing reasonable accommodations throughout the interview process. Once you submit your application, we'll follow up with details on how to request an accommodation for interviewing, completing any assessments, or otherwise participating in the selection process. STAYING SAFE - PROTECT YOURSELF FROM RECRUITMENT FRAUD We are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com http://abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article https://consumer.ftc.gov/consumer-alerts/2023/05/scammers-are-hijacking-job-ads-heres-how-spot-fakes. Please exercise caution and cease communications if something feels suspicious about your interactions.
Member of Technical Staff, Research Science
ABOUT ABRIDGE Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients. Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems. We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. THE ROLE Abridge is hiring Research Scientists to join our Strategic Research team to rigorously evaluate and advance the real-world impact of ambient AI on patient outcomes, care quality, and provider experience. In this role, you will design and lead empirical studies of Abridge models and products in partnership with health systems, leveraging large-scale clinical conversation data to generate new insights about care delivery, documentation quality, clinical decision-making, and downstream patient outcomes. You will operationalize complex constructs—such as quality of care, safety, cognitive burden, and return on investment—using principled measurement frameworks and rigorous experimental or quasi-experimental methods. Working closely with our science and product teams, you will also develop evaluation frameworks that inform model development and product strategy. Your work will contribute to broader scientific understanding of how AI systems affect patients and providers in the real world. This role sits at the intersection of methodological innovation and practical impact, applying serious measurement science to systems that directly shape patient care. About Strategic Research: The Strategic Research team at Abridge has two primary functions: (i) designing and conducting rigorous research studies investigating the impact of ambient AI as an intervention https://pubmed.ncbi.nlm.nih.gov/39775871/ in partnership with collaborating health systems; and (ii) supporting external research efforts that leverage Abridge data. In addition to driving and supporting empirical studies of the impact of ambient AI-enabled technologies, the team works closely with our science and engineering teams on core model evaluation. The common thread to all our work is ensuring that every partner-facing research initiative meets the highest standards of rigour, credibility, and strategic value. WHAT YOU’LL DO - Design and conduct evaluations of Abridge models and products - Engage with external researchers and other stakeholders on designing and conducting research on ambient AI and research that leverages Abridge data - Develop a strong user-centric and patient-centric mindset, grounding the research in empathy for the real world experience of providers and patients - Collaborate across our cross-functional product teams to ensure the research is deeply informed by current practices and our product roadmap - Write technical reports and give presentations to internal and external stakeholders - Actively contribute to the wider research community by publishing original research in leading peer-reviewed publication venues - Mentor research interns WHAT YOU’LL BRING - PhD in statistics, biostatistics, computer science, economics, information systems, clinical informatics, or a related field. - Expertise in rigorous quantitative or mixed-methods approaches for conducting evaluations using observational and experimental data. - Strong research track record in evaluation and measurement, as evidenced by high-impact publications at peer-reviewed journals or conferences. - A problem-before-method mindset. You do not change the question to make it amenable to simple analysis, but instead push the methodological frontier to solve the real world problems that matter to health systems, providers, and patients. - A curious, adaptable, and proactive mindset, with a desire to learn and grow as a researcher in a fast-paced startup environment. - Passion for and understanding of Abridge’s mission. MUST BE WILLING TO WORK FROM OUR NEW YORK CITY OFFICE AT LEAST 3X PER WEEK. This position requires a commitment to a hybrid work model, with the expectation of coming into the office a minimum of (3) three times per week. Relocation assistance is available for candidates willing to move to New York City. We value people who want to learn new things, and we know that great team members might not perfectly match a job description. If you’re interested in the role but aren’t sure whether or not you’re a good fit, we’d still like to hear from you. WHY WORK AT ABRIDGE? At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month. Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business. Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients. We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life. If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. HOW WE TAKE CARE OF ABRIDGERS: - Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees - Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families. - Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA. - Paid Parental Leave: Generous paid parental leave for all full-time employees. - Family Forming Benefits: Resources and financial support to help you build your family. - 401(k) Matching: Contribution matching to help invest in your future. - Personal Device Allowance: Tax free funds for personal device usage. - Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits. - Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more. - Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals. - Sabbatical Leave: Paid Sabbatical Leave after 5 years of employment. - Compensation and Equity: Competitive compensation and equity grants for full time employees. - ... and much more! EQUAL OPPORTUNITY EMPLOYER Abridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. We're committed to providing reasonable accommodations throughout the interview process. Once you submit your application, we'll follow up with details on how to request an accommodation for interviewing, completing any assessments, or otherwise participating in the selection process. STAYING SAFE - PROTECT YOURSELF FROM RECRUITMENT FRAUD We are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com http://abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article https://consumer.ftc.gov/consumer-alerts/2023/05/scammers-are-hijacking-job-ads-heres-how-spot-fakes. Please exercise caution and cease communications if something feels suspicious about your interactions.
Member of Product Staff, Nursing
ABOUT ABRIDGE Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients. Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems. We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. ABOUT ABRIDGE Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients. Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems. We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. THE ROLE Abridge is expanding beyond physicians and into broader care team workflows, and Nursing is one of Abridge’s most important new product areas. Nurses carry a large share of documentation and care coordination, especially in inpatient and ED settings. Their workflows involve frequent handoffs, fragmented data, and significant administrative load. As PM Lead for Nursing, you will own the nursing journey end to end. You will lead discovery with nurses and nursing leaders, set product strategy, and work closely with engineering, design, clinical science, machine learning, and customer teams to build experiences that nurses return to throughout their shifts. The opportunity is to combine conversations, longitudinal chart context, and explicit nurse direction to help nurses understand their patients, document efficiently, coordinate care, and get work done. You will shape the end-to-end Nursing experience across Abridge surfaces and EHR integrations and partner closely with clinical experts, engineering, design, and health system leaders. This is a hybrid role, with a preference for this PM to be based out of NYC, but open to SF. WHAT YOU’LL DO - Lead Nursing product strategy and discovery. Define the product vision and roadmap for Nursing across inpatient, ED, and ambulatory use cases. Identify and prioritize workflows that create real time time savings, operational ROI, and measurable impact for health systems. - Deliver clinician love for a new user type. Conduct deep user research with nurses, nurse managers, and CNIOs to understand documentation patterns, care coordination gaps, and device-specific workflows. Test hypotheses quickly and iterate based on adoption, retention, and perceived time savings. - Deliver high quality Nursing workflows. Partner with engineering and design to build intuitive and reliable documentation and handoff experiences across mobile, desktop, and EHR surfaces. Support workflows like many-to-one documentation, team-based notes, carry-forward, and handoff summaries. - Integrate deeply with EHR and enterprise environments. Work across Epic, Cerner, and Meditech workflows to ensure we meet table stakes expectations and can scale nursing adoption inside large hospital systems. Ensure data and context flows align with our broader strategy of leveraging clinical context to create defensible value. - Define success and measure impact. Establish KPIs such as time saved per shift, documentation completeness, task throughput, and workflow adoption. Build a clear path to monetization and demonstrate early value through design partners and beta deployments. WHAT YOU BRING - 5+ years of product management experience with 0 to 1 ownership in a complex domain. - Strong ability to understand and design for highly variable workflows across settings and roles. - Experience partnering closely with engineering, design, and ML teams - Ability to translate strategic goals into clear product decisions, sequencing, and measurable outcomes. - Comfortable operating in ambiguity and creating structure where little exists. - Excellent communication and stakeholder management skills, especially with clinical audiences. - Deep customer empathy and product taste BONUS POINTS IF… - Experience working with clinical SMEs, and health system stakeholders. - You have worked directly with nursing, inpatient, or ED operational workflows. - You have experience with Electronic Health Records like Epic, Cerner, Meditech. - You have built productivity tools, workflow automation, or ambient intelligence products. - You have worked in health systems, health IT, or clinical operations roles. - You have hands-on experience shipping products that deliver measurable operational or financial ROI in healthcare. WHY WORK AT ABRIDGE? At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month. Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business. Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients. We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life. If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. HOW WE TAKE CARE OF ABRIDGERS: - Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees - Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families. - Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA. - Paid Parental Leave: Generous paid parental leave for all full-time employees. - Family Forming Benefits: Resources and financial support to help you build your family. - 401(k) Matching: Contribution matching to help invest in your future. - Personal Device Allowance: Tax free funds for personal device usage. - Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits. - Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more. - Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals. - Sabbatical Leave: Paid Sabbatical Leave after 5 years of employment. - Compensation and Equity: Competitive compensation and equity grants for full time employees. - ... and much more! EQUAL OPPORTUNITY EMPLOYER Abridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. We're committed to providing reasonable accommodations throughout the interview process. Once you submit your application, we'll follow up with details on how to request an accommodation for interviewing, completing any assessments, or otherwise participating in the selection process. STAYING SAFE - PROTECT YOURSELF FROM RECRUITMENT FRAUD We are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com http://abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article https://consumer.ftc.gov/consumer-alerts/2023/05/scammers-are-hijacking-job-ads-heres-how-spot-fakes. Please exercise caution and cease communications if something feels suspicious about your interactions.
IT Operations Specialist
ABOUT ABRIDGE Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients. Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems. We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. THE ROLE Abridge is a fast-growing, AI-native healthcare company. We are seeking an IT Operations Specialist to support our San Francisco office and rapidly scaling workforce. This role provides onsite and remote support across hardware, software, access, collaboration tools, and conference room technology. You will help build a modern IT operations function designed for an AI-native company. You will use AI ITSM, automation, and agentic workflows to resolve issues, reduce manual work, and improve the employee experience. You will also partner across Abridge to develop scalable processes that support our continued growth. WHAT YOU’LL DO - Own daily IT support operations and serve as the primary escalation point for complex employee issues. - Manage support requests through Serval, including triage, resolution, escalation, documentation, and follow-up. - Build agentic support workflows that improve response times, resolution quality, and the employee experience. - Design and maintain automations for onboarding, offboarding, access requests, birthright access, and other employee lifecycle events. - Manage account access across SaaS applications using secure, scalable, and policy-based processes. - Provide expert support for workplace hardware, desktop software, collaboration tools, and conference room technology. - Identify recurring issues and replace manual work with reliable, well-documented automation. - Maintain clear operating procedures, support documentation, and service performance data. - Partner with PeopleOps, Security, Engineering, and business teams to build effective technical solutions. - Help define the standards, systems, and automation that will shape the future of IT Operations at Abridge. WHAT YOU’LL BRING - 3 to 5 years of experience in IT operations, service desk, or enterprise end-user support. - Experience managing tickets, incidents, access requests, and escalations in a fast-paced environment. - Strong technical troubleshooting skills across SaaS applications, hardware, operating systems, and workplace technology. - Experience building or managing IT workflows, integrations, and automations. - Clear written and verbal communication skills, including the ability to explain technical issues to non-technical employees. - Strong organization and attention to detail while managing multiple priorities. - A service-focused approach that combines urgency, sound judgment, and consistent follow-through. - Strong problem-solving skills and a proactive approach to identifying operational improvements. - The ability to work across teams and translate business requirements into scalable IT processes. - A strong interest in agentic support, automation, and the continued evolution of enterprise IT. BONUS POINTS - Experience with Serval or another AI ITSM platform eg., Console, Ravenna - Experience supporting regulated organizations, including healthcare, finance, or government. - Familiarity with identity and access management, role-based access control, and employee lifecycle automation. - Experience with Google Workspace, Slack, Zoom, and Zoom Rooms. - Experience using APIs, workflow tools, or scripts to automate IT operations. - Experience with Mobile Device Management (MDM) systems. - Working experience in a both Mac & Windows operating systems - Working experience in a fast paced tech startup with a customer first mindset. The salary range provided is based on transparent pay guidelines and is an estimate for candidates residing in the San Francisco and New York City metro areas. The actual base salary will vary depending on the candidate's location, relevant experience, skills, qualifications, and other job-related factors. Additionally, this role may include the opportunity to participate in a company stock option plan as part of the total compensation package. Must be willing to work from our SF office at least 3x per week This position requires a commitment to a hybrid work model, with the expectation of coming into the office a minimum of (3) three times per week. Relocation assistance is available for candidates willing to move to San Francisco. We value people who want to learn new things, and we know that great team members might not perfectly match a job description. If you’re interested in the role but aren’t sure whether or not you’re a good fit, we’d still like to hear from you. WHY WORK AT ABRIDGE? At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month. Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business. Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients. We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life. If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. HOW WE TAKE CARE OF ABRIDGERS: - Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees - Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families. - Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA. - Paid Parental Leave: Generous paid parental leave for all full-time employees. - Family Forming Benefits: Resources and financial support to help you build your family. - 401(k) Matching: Contribution matching to help invest in your future. - Personal Device Allowance: Tax free funds for personal device usage. - Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits. - Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more. - Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals. - Sabbatical Leave: Paid Sabbatical Leave after 5 years of employment. - Compensation and Equity: Competitive compensation and equity grants for full time employees. - ... and much more! EQUAL OPPORTUNITY EMPLOYER Abridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. We're committed to providing reasonable accommodations throughout the interview process. Once you submit your application, we'll follow up with details on how to request an accommodation for interviewing, completing any assessments, or otherwise participating in the selection process. STAYING SAFE - PROTECT YOURSELF FROM RECRUITMENT FRAUD We are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com http://abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article https://consumer.ftc.gov/consumer-alerts/2023/05/scammers-are-hijacking-job-ads-heres-how-spot-fakes. Please exercise caution and cease communications if something feels suspicious about your interactions.
Engineering Leadership, NY Site Lead
ABOUT ABRIDGE Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients. Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems. We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. THE ROLE Our agentic AI-powered products are bringing joy back to the practice of medicine, and we're building out our engineering presence in New York. We're looking for an engineering leader to be the senior technical presence in our SoHo office — someone who will own business-critical product areas end-to-end while setting the bar, the culture, and the pace for the engineers we hire around them. This is a builder's role first and a site leader's role second. You'll scope and ship product in an area that is still being defined, grow a team from a small core, and represent Abridge engineering in New York. This role is based in New York and requires working from our SoHo office five days / week. We believe the fastest way to build this team is in person, and we're looking for someone who wants to set that example. WHAT YOU’LL DO - Build our New York engineering presence: Be the senior engineering voice in our NY office. Establish the operating rhythm, quality bar, and culture of the office. Make New York a place strong engineers want to do their best work. - AI-native leadership: Bring a real point of view on how agentic engineering changes the way software gets built — in the product you ship and in how your team works. - Drive pace and performance: Raise the execution velocity of the org around you. Set business context for your team, partner closely with product and design, and be a multiplier for the leaders and engineers you work alongside. - Own an area and ship it: Take a product area from ambiguity to shipped, enterprise-grade software. You'll set technical direction, make the architecture calls, and be accountable for the output of your team. We don't expect you to code daily, but we expect you to be close enough to the tech to unblock, and to still enjoy being hands-on. WHAT YOU’LL BRING - At least 5+ years managing software engineering teams — including time as a manager of managers or as the most senior engineering leader in a location. - Track record of building something from zero to real scale, and of owning the product outcome rather than just the engineering process. - Hands-on technically. You can read and review the code your team is shipping, get into a codebase when something needs unblocking, and hold your own in a technical design discussion. - A clear, well-formed point of view on AI and agentic engineering, and evidence you've acted on it. - Skilled at hiring and mentorship, with a track record of helping engineers grow their skills and careers — and of hiring quickly while keeping the bar high. - Has thrived in a fast-growing startup and knows how to operate in that environment. Excited to be hands-on in a fast-moving, productive, and supportive environment, and willing to pitch in wherever needed. - Based in New York and excited to be in the SoHo office five days a week. - Genuine passion for Abridge's mission to improve healthcare in America and across the world. BONUS POINTS IF… - Experience as a site lead, or as the founding senior engineering leader for a new office or region. - Experience managing or working directly with AI/ML engineering teams and shipping AI- or ML-powered product features. - Experience working in a health tech environment, or in another highly regulated, enterprise-sold domain. - Founder or early-employee experience. WHY WORK AT ABRIDGE? At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month. Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business. Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients. We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life. If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. HOW WE TAKE CARE OF ABRIDGERS: - Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees - Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families. - Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA. - Paid Parental Leave: Generous paid parental leave for all full-time employees. - Family Forming Benefits: Resources and financial support to help you build your family. - 401(k) Matching: Contribution matching to help invest in your future. - Personal Device Allowance: Tax free funds for personal device usage. - Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits. - Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more. - Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals. - Sabbatical Leave: Paid Sabbatical Leave after 5 years of employment. - Compensation and Equity: Competitive compensation and equity grants for full time employees. - ... and much more! EQUAL OPPORTUNITY EMPLOYER Abridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability. We're committed to providing reasonable accommodations throughout the interview process. Once you submit your application, we'll follow up with details on how to request an accommodation for interviewing, completing any assessments, or otherwise participating in the selection process. STAYING SAFE - PROTECT YOURSELF FROM RECRUITMENT FRAUD We are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com http://abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article https://consumer.ftc.gov/consumer-alerts/2023/05/scammers-are-hijacking-job-ads-heres-how-spot-fakes. Please exercise caution and cease communications if something feels suspicious about your interactions.
Tactile Sensing Research Engineer
ABOUT 1X We’re building humanoid robots that work in home - doing the chores, handling the tasks, and giving people their time back. Simple, but it’s not. To do this right, we have to solve robotics, AI, manufacturing - at the same time, at scale, in a form factor that has to be safe enough to live with your family. If you’re inspired by this, you’ll thrive here. We’ve been at this since 2014 and we’re at the point where the hard problems are behind us and the hard work is in front of us. NEO is our flagship - a home robot designed to move, learn, and operate in the real world alongside real people. We’re not demoing it - we’re shipping it. We’re excited to meet you, if this excites you. If you’ve spent your career working on problems that matter and want to see them actually reach the world - this is that moment. We’re scaling, we’re hiring with intention, and we need people who want to build something that will genuinely change how humans spend their time - safely creating abundance for all. ABOUT THE TEAM 1X Labs exists to provide the science and technology that enables human-level, general-purpose humanoids. We identify the gaps between current robotic capabilities and human performance, then pursue the fundamental advances required to close them through deep research, rigorous experimentation, and rapid iteration. The sensing systems we develop are not isolated components—they directly shape what robots can perceive, understand, and manipulate. Our work spans materials, sensing, actuation, control, and system integration, with the expectation that research outcomes ultimately become products. YOUR CHARTER Advance tactile sensing toward human-level capability by developing sensing systems that capture the structure and dynamics of physical contact, not merely the presence of touch. You will take promising tactile sensing technologies and push them through repeated cycles of design, fabrication, testing, and refinement. Your work will focus on understanding fundamental performance limits, eliminating bottlenecks, and systematically improving sensing performance across spatial resolution, temporal response, dynamic range, robustness, and durability. As a Tactile Sensing Researcher / Engineer, you'll help create the sensing foundation required for dexterous manipulation and meaningful interaction with the physical world. KEY OUTCOMES - Deliver successive generations of tactile sensing systems that demonstrate measurable improvements in sensing performance and robustness - Establish rigorous benchmarking methodologies against human tactile capabilities and other state-of-the-art sensing technologies - Identify and overcome fundamental limitations in tactile sensing architectures, materials, and transduction approaches - Generate experimental evidence that guides research decisions and enables confident technology down-selection - Successfully transition promising tactile sensing concepts into viable paths for integration with robotic manipulation systems KEY COMPETENCIES - Deep expertise in tactile sensing, sensing systems, or closely related research domains - Strong experimental mindset with a focus on measurement quality, repeatability, and evidence-driven decision making - Ability to work across materials, mechanics, electronics, and system integration challenges - Exceptional hands-on prototyping, fabrication, and testing skills - Persistence and intellectual rigor when solving difficult technical problems with no obvious solutions MINIMUM REQUIREMENTS - PhD in Robotics, Electrical Engineering, Mechanical Engineering, Materials Science, Bioengineering, or a closely related field - Demonstrated high-impact contributions to tactile sensing or related sensing technologies through publications, patents, deployed systems, or equivalent technical achievements - Proven experience developing sensing technologies through multiple generations of design, fabrication, and validation - Strong hands-on experience building and testing physical sensing systems - Track record of identifying and overcoming fundamental performance limitations in sensing technologies PREFERRED SKILLS - Experience working with soft, compliant, or bio-inspired materials in sensing applications - Experience designing custom experimental setups for sensor characterization and benchmarking - Familiarity with robotic manipulation, dexterous hands, or human-machine interaction systems - Experience developing custom electronics, transduction systems, or signal-processing pipelines for sensing applications - Background in biomechanics, neuroscience, haptics, or biologically inspired sensing systems WHAT DOES A SUCCESSFUL 1X TEAM MEMBER LOOK LIKE? Team members at 1X who thrive here are builders. They move fast, own their work completely, and treat time like it’s the one thing you can’t get back - because it is. They say what they mean, finish what they start, and hold themselves to a standard before anyone has to ask. We push each other to be better, and we do it with honesty and respect. Within 1X Labs, the strongest researchers combine deep technical expertise with a relentless commitment to reality. They use experiments to settle debates, push systems until they reveal their true limits, and care as much about understanding failure as they do about achieving success. Research matters because it changes what the robot can do. COMPENSATION RANGE $200,000 - $250,000 + Equity BENEFITS - Comprehensive medical, dental, and vision coverage - Generous paid time off, company holidays, and parental leave - 401(k) plan with company match (100% on the first 3% of contributions, 50% on the next 2%) - Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA) options - Commuter benefits (transit and parking) - Short-term and long-term disability, and life insurance - Employee Assistance Program (EAP) for mental health, financial, and personal support - Onsite snacks and catered lunches EQUAL OPPORTUNITY EMPLOYER 1X is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, ancestry, citizenship, age, marital status, medical condition, genetic information, disability, military or veteran status, justice system impact, or any other characteristic protected under applicable federal, state, or local law.
Open Call – Research Engineer / Scientist
ABOUT 1X We’re building humanoid robots that work in home - doing the chores, handling the tasks, and giving people their time back. Simple, but it’s not. To do this right, we have to solve robotics, AI, manufacturing - at the same time, at scale, in a form factor that has to be safe enough to live with your family. If you’re inspired by this, you’ll thrive here. We’ve been at this since 2014 and we’re at the point where the hard problems are behind us and the hard work is in front of us. NEO is our flagship - a home robot designed to move, learn, and operate in the real world alongside real people. We’re not demoing it - we’re shipping it. We’re excited to meet you, if this excites you. If you’ve spent your career working on problems that matter and want to see them actually reach the world - this is that moment. We’re scaling, we’re hiring with intention, and we need people who want to build something that will genuinely change how humans spend their time - safely creating abundance for all. ABOUT THE TEAM 1X Labs exists to provide the science and technology that enables human-level, general-purpose humanoids. We identify the gap between what today's humanoids can do and what human-level capability actually requires. From there, we pursue fundamental advances in sensing, actuation, materials, control, intelligence, and system architecture—carrying promising ideas all the way from research through product integration. 1X Labs is built for people who have achieved deep expertise in a particular field and are motivated by the challenge of solving problems that require multiple disciplines to advance together. Here, ideas are tested against reality, and research only matters if it ultimately ships. YOUR CHARTER Bring us the idea, prototype, technology, or insight that you believe can materially advance humanoid performance. This is not a role tied to a predefined roadmap. Instead, we are looking for exceptional technical individuals who have identified a meaningful capability gap and have a credible path toward closing it. Whether your work originates from research, industry, startups, or personal projects, we want to understand what you have built, what you've learned, and what you would pursue if given the resources to take it all the way. As part of 1X Labs, you will be expected to transform ambitious technical ideas into evidence, working prototypes, and ultimately technologies that can survive the constraints of real products and real manufacturing. KEY OUTCOMES - Develop and validate technologies that meaningfully advance humanoid capability toward human-level performance - Demonstrate measurable improvements through rigorous experimentation, benchmarking, and real-world validation - Translate novel research ideas into working systems, prototypes, or platforms that can be evaluated and integrated - Identify and overcome fundamental technical bottlenecks that limit current robotic performance - Create credible paths from early-stage research to scalable product implementation KEY COMPETENCIES - Exceptional technical depth in at least one relevant field, combined with the ability to reason across adjacent disciplines - Strong bias toward execution, experimentation, and evidence-based decision making - Demonstrated ability to independently originate, develop, and validate ambitious technical ideas - Comfort operating in highly ambiguous environments with minimal predefined structure - Persistence and intellectual honesty when confronting difficult technical problems MINIMUM REQUIREMENTS - Applicants should demonstrate at least one of the following: - First-author or equivalent high-impact scientific publication in a relevant technical field - Development of a prototype, system, or technology that materially advanced the state of the art - Experience founding or co-founding a technical venture and successfully bringing deep-technology products or technologies into the world - Demonstrated track record of carrying complex technical ideas from concept through implementation and validation - Clear evidence of exceptional technical achievement beyond traditional academic or industry credentials PREFERRED SKILLS - Expertise in robotics, AI, controls, sensing, actuation, materials science, manufacturing, neuroscience, biomechanics, or other fields relevant to humanoid robotics - Experience building and validating physical systems in real-world environments - Experience leading highly technical projects or research efforts - Strong interdisciplinary reasoning across hardware, software, and system-level challenges - Demonstrated ability to translate research into deployable products WHAT DOES A SUCCESSFUL 1X TEAM MEMBER LOOK LIKE? Team members at 1X who thrive here are builders. They move fast, own their work completely, and treat time like it’s the one thing you can’t get back - because it is. They say what they mean, finish what they start, and hold themselves to a standard before anyone has to ask. We push each other to be better, and we do it with honesty and respect. Within 1X Labs, the most successful people are those who combine deep expertise with relentless curiosity. They are willing to challenge assumptions, test ideas against reality, and pursue difficult technical paths that others overlook. They care less about defending ideas and more about discovering what is true. APPLICATION PROMPT When applying, tell us: - The performance gap you believe should be closed - The technical foundation you already have (research, prototype, technology, or insight) - Why existing approaches are insufficient - What you would build and test first if constraints were removed COMPENSATION RANGE $250,000 - $300,000 + Equity BENEFITS - Comprehensive medical, dental, and vision coverage - Generous paid time off, company holidays, and parental leave - 401(k) plan with company match (100% on the first 3% of contributions, 50% on the next 2%) - Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA) options - Commuter benefits (transit and parking) - Short-term and long-term disability, and life insurance - Employee Assistance Program (EAP) for mental health, financial, and personal support - Onsite snacks and catered lunches EQUAL OPPORTUNITY EMPLOYER 1X is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, ancestry, citizenship, age, marital status, medical condition, genetic information, disability, military or veteran status, justice system impact, or any other characteristic protected under applicable federal, state, or local law.
Camera Hardware Engineer, Robot Head
ABOUT 1X We’re building humanoid robots that work in home - doing the chores, handling the tasks, and giving people their time back. Simple, but it’s not. To do this right, we have to solve robotics, AI, manufacturing - at the same time, at scale, in a form factor that has to be safe enough to live with your family. If you’re inspired by this, you’ll thrive here. We’ve been at this since 2014 and we’re at the point where the hard problems are behind us and the hard work is in front of us. NEO is our flagship - a home robot designed to move, learn, and operate in the real world alongside real people. We’re not demoing it - we’re shipping it. We’re excited to meet you, if this excites you. If you’ve spent your career working on problems that matter and want to see them actually reach the world - this is that moment. We’re scaling, we’re hiring with intention, and we need people who want to build something that will genuinely change how humans spend their time - safely creating abundance for all. ABOUT THE TEAM The Vision Hardware team develops the imaging systems that enable NEO to perceive and understand the world. We design, integrate, validate, and optimize camera modules that provide high-quality visual data for perception, navigation, manipulation, and human interaction. Working closely with Computer Vision, Machine Learning, Electrical Engineering, Mechanical Engineering, and Manufacturing teams, you'll help deliver robust camera systems that perform reliably across millions of operating hours in real-world environments. YOUR CHARTER Develop and validate the vision hardware that powers NEO's perception. You will own camera module validation from early prototype bring-up through qualification and mass production. Your work will establish objective image quality standards, define validation methodologies, and ensure camera systems consistently meet demanding performance, reliability, and manufacturing requirements. KEY OUTCOMES - Define and execute comprehensive validation strategies for camera modules, image sensors, and complete vision systems - Characterize optical, electrical, and system-level camera performance across robotic operating conditions - Develop image quality specifications, validation methodologies, and objective performance metrics - Design calibration procedures and manufacturing test processes for high-volume production - Lead camera hardware bring-up from prototype through production qualification - Partner with Computer Vision, Machine Learning, Electrical Engineering, and Mechanical Engineering teams to optimize complete imaging system performance - Collaborate with suppliers to ensure camera modules consistently meet design, quality, and manufacturing requirements KEY COMPETENCIES - Deep understanding of camera system architecture, optics, sensors, and image quality evaluation - Strong analytical skills with the ability to develop objective validation methodologies and performance metrics - Hands-on engineering mindset with experience debugging, validating, and optimizing complex hardware systems - Excellent collaboration across multidisciplinary engineering teams and external suppliers - Strong ownership mindset with the ability to independently drive complex hardware validation programs MINIMUM REQUIREMENTS - Bachelor's degree in Computer Engineering, Electrical Engineering, or a related engineering discipline - 3+ years of experience developing, validating, or characterizing camera and imaging systems - Deep understanding of camera technologies including image sensors, optics, lenses, image signal processors (ISP), and complete imaging pipelines - Working knowledge of the electrical and mechanical integration of camera modules - Experience programming with Python and C/C++ - Proficiency working in Linux environments - Experience using image quality evaluation tools such as Imatest, Image Engineering, MATLAB, or equivalent - Strong troubleshooting, analytical, and problem-solving skills - Ability to work full-time onsite in San Carlos, CA PREFERRED SKILLS - Experience developing stereo vision or multi-camera systems - Experience validating and calibrating imaging systems for high-volume consumer electronics or robotics products - Familiarity with camera manufacturing, production testing, and calibration workflows - Experience working with computer vision and machine learning frameworks - Experience collaborating directly with optical, sensor, and camera module suppliers - Familiarity with production quality methodologies including qualification testing, statistical analysis, and manufacturing process validation WHAT DOES A SUCCESSFUL 1X TEAM MEMBER LOOK LIKE? Team members at 1X who thrive here are builders. They move fast, own their work completely, and treat time like it’s the one thing you can’t get back - because it is. They say what they mean, finish what they start, and hold themselves to a standard before anyone has to ask. We push each other to be better, and we do it with honesty and respect. Successful Camera Hardware Engineers combine deep expertise in imaging technology with a systems-level mindset. They enjoy solving complex hardware challenges that span optics, electronics, software, and manufacturing. They are equally comfortable designing rigorous validation methods, analyzing image quality, debugging hardware in the lab, and partnering with cross-functional teams to deliver production-ready vision systems that enable reliable robotic perception. COMPENSATION RANGE $175,950 - $225,000, plus equity. BENEFITS - Comprehensive medical, dental, and vision coverage - Generous paid time off, company holidays, and parental leave - 401(k) plan with company match (100% on the first 3% of contributions, 50% on the next 2%) - Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA) options - Commuter benefits (transit and parking) - Short-term and long-term disability, and life insurance - Employee Assistance Program (EAP) for mental health, financial, and personal support - Onsite snacks and catered lunches EQUAL OPPORTUNITY EMPLOYER 1X is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, ancestry, citizenship, age, marital status, medical condition, genetic information, disability, military or veteran status, justice system impact, or any other characteristic protected under applicable federal, state, or local law.
Vice President, Clinical Development, Oncology
About Xaira Therapeutics Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London. Position summary Xaira Therapeutics is seeking a Vice President, Early Clinical Development to lead development of the company’s oncology portfolio as it advances from discovery into the clinic. Reporting to the Senior Vice President, Translational Science and Early Clinical Development, the Vice President will be accountable for clinical development strategy, IND-enabling clinical planning, first-in-human study design and execution, and the progression of priority programs through clinical proof of concept and into late-stage development. This is a founding clinical development role. The Vice President will establish the clinical development function at Xaira, including its people, operating model, governance, and external network, and will serve as a visible member of the R&D leadership team with influence over portfolio strategy. Xaira integrates AI, computational biology, and large-scale experimental data across the discovery and development continuum. The Vice President will be expected to apply advanced analytics and model-derived insight to development strategy, trial design, patient selection, and evidence generation, and to exercise disciplined judgment about where these methods add value and where conventional approaches remain the better answer. Key responsibilities Clinical development strategy - Develop and own integrated clinical development plans for priority oncology programs, from development candidate selection through clinical proof of concept and into registrational development. - Define target product profiles, indication and tumor type strategy, dose and schedule, endpoints, biomarker strategy to inform dose, proof of mechanism and accelerated development opportunities using patient selection approaches with insights from Xaira’s AI platform. - Translate insight from disease biology, functional genomics, proteomics, computational protein design, and translational studies into clinical hypotheses that can be tested in patients. - Establish pre-specified go/no-go criteria for each program and make timely, well-reasoned recommendations to advance, redirect, or discontinue. IND enablement and first-in-human execution - Lead the clinical strategy and clinical content for IND and CTA submissions, including clinical development plans, first-in-human protocols, Investigator’s Brochure clinical sections, and briefing documents. - Establish starting dose, escalation scheme, and dose-limiting toxicity criteria in partnership with pharmacology, clinical pharmacology, PK/PD modeling, and toxicology, including MABEL or exposure-based approaches where appropriate. - Design Phase 1 studies that deliver both dose determination and mechanistic insight, incorporating contemporary escalation methodology such as BOIN, mTPI, or Bayesian model-based designs, backfill and expansion cohorts, and randomized dose optimization consistent with FDA Project Optimus expectations. - Provide scientific and medical oversight throughout Phase 1 execution, including cohort review, interpretation of emerging PK, pharmacodynamic, biomarker and response data, safety review committee and DSMB interactions, and protocol amendments. Translational and biomarker-driven development - Working closely with the Translational Medicine team, define the translational and biomarker strategy for each program, including target engagement and pharmacodynamic endpoints, confirmation of mechanism of action in patients, characterization of resistance, and determination of the pharmacologically active dose range. - Partner with the Biomedical AI team and X-Patient AI Disease Modeling team to design data collection, analysis and interpretation aimed at generating hypotheses related to mechanism and disease segmentation to inform clinical development strategy through patient selection, tumor type selection and combinations. - Using data from the Translational platforms, including X-patient, design and implement patient selection strategy, including biomarker-defined populations, enrichment versus all-comers designs, assay selection and qualification, threshold definition, and the prospective evidence required to support a cut-off and CDx Assay Development. Transition to late-stage development - Define and execute the path from dose expansion to registrational intent, including indication selection, single-arm versus randomized design, comparator and control strategy, endpoint selection across ORR, duration of response, PFS and OS and the assumptions underlying surrogacy, statistical considerations, and accelerated approval strategy where applicable. - Lead End-of-Phase 1 and End-of-Phase 2 interactions and expedited program designation strategy, and secure health authority alignment on registrational population, dose, and endpoints. - Ensure continuity of clinical, statistical, regulatory, operational, and diagnostic strategy into late-stage execution so that critical assumptions are not revisited in Phase 3. Regulatory leadership and patient safety - Serve as the lead clinical representative in interactions with FDA, EMA, and other health authorities, and oversee clinical content across regulatory submissions, briefing packages, and responses. - Hold accountability for participant safety across clinical programs, including oversight of medical monitoring, evaluation of safety signals, and partnership with pharmacovigilance on risk management. - Ensure studies are conducted in accordance with GCP, ICH guidance, and applicable global regulatory requirements. AI, data, and advanced analytics - Partner with Xaira scientists across BioMedical AI, computational biology, data science, engineering, biostatistics, and translational research to bring model-derived insight into clinical decision-making. - Apply molecular, single-cell, multi-omic, imaging, real-world, and clinical data to patient selection, biomarker strategy, dose selection, endpoint definition, and trial design. - Identify and prioritize practical applications of AI in oncology development, which may include trial simulation, dose–exposure–response modeling, protocol optimization, enrollment forecasting, digital pathology, external and synthetic control methods, predictive efficacy, and clinical data review. - Establish standards for data quality, validation, explainability, bias assessment, documentation, and human oversight wherever a model informs a clinical decision. - Design clinical studies so that the data generated also strengthens Xaira models and informs subsequent discovery and development, with tissue collection, sampling design, and consent structured accordingly. Organizational leadership and external engagement - Build, lead, and develop the clinical development team, and establish the operating model, governance, and decision forums the organization requires as the pipeline expands. - Select and manage CROs, central and specialty laboratories, imaging and diagnostic vendors, and consultants, retaining scientific ownership and decision authority within Xaira. - Develop and manage the clinical development budget and resource plan in alignment with program milestones and corporate objectives. - Establish and maintain relationships with academic and community oncology investigators, cooperative groups, key opinion leaders, patient advocacy organizations, regulators, and prospective development partners, and chair advisory boards and steering committees. - Oversee scientific communication of clinical data through publications and congress presentations, and communicate program strategy, data, risk, and recommendations to senior leadership, the Board of Directors, and investors. Qualifications - MD or MD/PhD required. Completion of residency and fellowship in medical oncology or hematology/oncology, with board certification, strongly preferred. - A minimum of 12 years of clinical development experience in the biotechnology or pharmaceutical industry, including at least 5 years in a leadership capacity with accountability for programs and direct reports. - Demonstrated oncology depth across more than one tumor type, with direct experience conducting dose-finding and dose-optimization studies in patients with advanced cancer. - IND and first-in-human leadership. Has led the clinical strategy and authored the clinical content for at least one oncology IND or CTA, and served as clinical lead for the resulting first-in-human study through escalation, dose optimization, and expansion. - Phase 1 to late-stage transition. Has advanced at least one oncology program from Phase 1 into successful late-stage or registrational development, and can articulate the dose, population, endpoint, and biomarker decisions that enabled the transition. Contribution to an approved oncology therapeutic is strongly preferred. - Biomarker-driven development. Demonstrated experience defining and executing biomarker strategy that materially influenced development decisions, spanning pharmacodynamics and target engagement, confirmation of mechanism of action in patients, and biomarker-based patient selection. - Direct experience applying AI, machine learning, or advanced analytics to a clinical development or translational question, with the ability to describe what was built, how it was validated, and how it changed a decision. - Extensive regulatory experience, including direct interaction with FDA and preferably EMA across IND or CTA submissions, End-of-Phase meetings, and expedited program pathways. - Sound scientific judgment regarding the limitations of computational methods, including the ability to interrogate model assumptions and to recognize when conventional analysis or direct clinical review is the better approach. - Excellent written and verbal communication skills, with experience presenting to executive leadership, Boards of Directors, health authorities, and external scientific audiences. - Demonstrated effectiveness in a fast-paced, resource-conscious environment requiring both strategic leadership and hands-on execution. Preferred qualifications - Experience with modalities lacking established clinical precedent, including engineered proteins and antibodies, bispecific and multispecific antibodies, antibody–drug conjugates, targeted protein degraders, or cell and gene therapy. - Companion diagnostic co-development experience, including regulatory approval of a biomarker-defined indication. - Experimental medicine, adaptive and model-informed drug development, dose–exposure–response analysis, and seamless Phase 1/2 designs. - Digital pathology or digital endpoints, causal inference, external control methodology, and real-world oncology data. - Regulatory experience involving novel analytics, AI-derived biomarkers, digital measures, or non-traditional approaches to evidence generation. - Prior clinical leadership within an AI-native biotechnology company, a computational drug discovery company, or a pharmaceutical AI and data organization. - Experience establishing an early clinical development function within a growing organization. Location and travel This position is based onsite at Xaira’s South San Francisco headquarters. Travel of approximately [15–25%] is expected for investigator and site engagement, scientific congresses, health authority meetings, and partner interactions. Compensation Annual We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $350,000 to $407,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience. Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end. TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.
Senior Software Engineer, X-Scientist
About Xaira Therapeutics Xaira is an innovative biotech startup focused on leveraging AI to transform drug discovery and development. The company is leading the development of generative AI models to design protein and antibody therapeutics, enabling the creation of medicines against historically hard-to-drug molecular targets. It is also developing foundation models for biology and disease to enable better target elucidation and patient stratification. Collectively, these technologies aim to continually enable the identification of novel therapies and to improve success in drug development. Xaira is headquartered in the San Francisco Bay Area, Seattle, and London. About the Role Xaira is pioneering an AI-native approach to discovering and developing the next generation of life-changing medicines. We are building predictive and agentic AI systems across drug discovery, and the X-Scientist team accelerates this mission by making AI-assisted science reliable, usable, and scalable across drug discovery workflows. On the X-Scientist team, you will work at the intersection of AI, software engineering, and therapeutic discovery. You will collaborate closely with AI scientists, engineers, platform teams, and drug discovery experts to build systems that connect AI models, biological tools, datasets, and scientific workflows. This role spans backend systems, APIs, tool-calling infrastructure, workflow orchestration, developer-facing SDKs and CLIs, and agentic interfaces that help scientists run analyses, inspect intermediate steps, and iterate on results. What You'll Do - Backend systems and APIs that connect AI models to scientific tools, datasets, and analysis workflows - Tool-calling infrastructure, CLIs, SDKs, and workflow runners that scientists and ML researchers use day-to-day - Agentic interfaces where users can run analyses, inspect intermediate steps, and iterate on results - Observability and testing for long-running workflows that call external tools and produce scientific outputs - Design reliable systems for long-running, multi-step workflows with strong testing, observability, logging, and maintainability. - Collaborate with scientific and technical teams to turn complex research workflows into usable, extensible software. What We're Looking For - Strong Python engineering fundamentals, with clean, typed, tested, maintainable code. - Experience building at least one of the following: a production library, CLI, API, SDK, backend service, workflow system, or developer platform. - Familiarity with LLM application development, agent frameworks, tool calling, MCP-style interfaces, or orchestration systems. - Comfort working with complex systems that combine multiple components, external calls, domain-specific logic, and evolving user needs. - Good instincts for abstraction, error handling, reliability, and designing software that can grow across use cases. - Strong communication skills and ability to work in a collaborative, multidisciplinary environment. Nice to Have - Background or interest in computational biology, bioinformatics, protein design, single-cell genomics, biomedical AI, or adjacent domains. - Familiarity with biomedical databases or tools such as PubMed, UniProt, AlphaFold, PDB, DepMap, or related resources. - Curiosity about biology and scientific research; you do not need a biology background, but you should be excited to learn the domain and work closely with scientists and ML researchers. Compensation We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $205,000 - $275,000 annually with a total cash compensation up to $235,000 - $325,000; however, the compensation offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience. Xaira Therapeutics is an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end. TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.
Human Data - Business Operations Analyst
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: Human Data powers model training and evaluation by producing high-quality human-generated data at scale. This role focuses on the metrics, systems, and operating insights that help Human Data run efficiently—spanning workforce performance, capacity and allocation, operational process health, and decision-making support for cross-functional partners. Our ideal candidate is a proactive analyst with strong quantitative skills and operational judgment, able to turn incomplete data into clear recommendations that improve throughput, quality, cost, and reliability. You will partner with operations leaders, engineering stakeholders, and enabling teams to identify problems, build operating systems, and drive improved planning decisions. RESPONSIBILITIES: - Perform analyses of Human Data operational metrics—such as capacity, utilization, quality, throughput, cycle time, cost efficiency, and workforce health—to uncover trends, risks, and opportunities. - Build and maintain reporting, trackers, and dashboards that make core operating KPIs visible and actionable for managers and cross-functional partners. - Develop and improve planning and forecasting views (e.g., demand signals, supply/capacity, staffing needs, or process volumes) that support proactive, informed decisions. - Support allocation and operating tradeoffs by synthesizing operational and performance data into clear recommendations for who/what should move where. - Design, document, and refine operational processes and escalation paths so recurring work - performance actions, staffing, handoffs, and similar flows - is consistent, measurable, and scalable. - Identify data gaps and partner with stakeholders to improve data collection, hygiene, and definitions so analysis and operating systems remain reliable. - Collaborate cross-functionally with operations, engineering, recruiting, onboarding, finance, and other partners to integrate insights into hiring, staffing, performance management, and operational planning decisions. - Deliver concise readouts and recommendations to stakeholders, translating analysis into business-oriented next steps and tradeoffs. - Own ad-hoc research and special projects that improve Human Data operating leverage. BASIC QUALIFICATIONS: - Bachelor’s degree - 1+ years of professional experience in business analytics, business operations, consulting, workforce/operations analysis, or growth/ops strategy - 1+ years of experience building and owning analytical models, trackers, or operating systems in Excel / Google Sheets or equivalent PREFERRED SKILLS AND EXPERIENCE: - Bachelor’s degree in business, economics, statistics, computer science, engineering, or a related quantitative field - Strong proficiency in SQL, including complex joins, window functions, and query optimization - Experience with forecasting, capacity planning, workforce analytics, or performance metrics - Proficiency in statistical or analytical techniques (e.g., cohort analysis, regression, time-series, anomaly detection) in Python, R, or similar - Experience with data visualization tools (e.g., Tableau, Looker, Power BI) or modern BI workflows - Background in high-growth tech, marketplace/staffing operations, data labeling, human-in-the-loop systems, or consulting environments - Excellent communication skills, with a track record of presenting insights to non-technical audiences and influencing cross-functional teams - Project management experience, including prioritizing work in fast-paced settings and driving process change with diverse stakeholders - Comfort using modern AI tools to accelerate analysis and operational workflow design ADDITIONAL REQUIREMENTS: - Weekend work may be required. - Travel to other SpaceXAI sites may be required. COMPENSATION AND BENEFITS: $122,000 - $180,000 USD Base salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .
Expert Team Lead, Engineering
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: You will lead a team of AI Tutors (full-time employees and contractors) responsible for delivering high-quality training data and evaluations that power SpaceXAI’s models. You will set the standard for data quality on your projects, review work in the domain, ensure the accuracy and consistency of the data produced, and build operational excellence at the team level. This is a hands-on leadership role — you will both execute labeling/review work and continuously improve processes as we scale. RESPONSIBILITIES: - Own end-to-end quality and delivery for assigned Human Data projects — personally reviewing work in the domain, ensuring accuracy, consistency, guideline adherence, and high-quality data production at scale. - Lead, coach, and performance-manage a team of AI Tutors, including conducting regular performance reviews, maintaining records, creating action plans, managing shadow sessions, and driving continuous improvement. - Oversee and actively participate in labeling and reviewing tasks to maintain high standards and model best practices. - Ensure strict guideline adherence, taxonomy management, and quality assurance processes. - Drive efficiency by identifying and resolving operational bottlenecks, implementing process improvements, and tracking performance via KPI dashboards (e.g., quality metrics, throughput, send-back rates). - Build, update, and deliver training materials, practice tasks, and certification benchmark tasks; manage certifications and workforce adjustments. - Collaborate closely with Human Data Managers, fellow Team Leads, and Engineering to translate model needs into clear labeling strategies and requirements. - Coach and develop talent while maintaining strong accountability and a high-performance culture; support disciplinary actions as needed. - Document outcomes, suggest process iterations, and report project status, risks, and results. - Act as the voice of your tutors while fostering strong collaboration across the broader Human Data organization. BASIC QUALIFICATIONS: - Bachelor's degree or higher in Mechanical, Electrical, Chemical, Civil, Environmental, or a closely related engineering field. - 2+ Professional experience in engineering practice, such as design, analysis, testing, R&D, or systems integration OR a Master’s degree (or higher) in an engineering or engineering related field. - Basic understanding of AI and machine learning concepts and how high-quality training data impacts model performance. PREFERRED SKILLS AND EXPERIENCE: - Advanced degree (MS or PhD) in an engineering discipline, or professional licensure (PE, or FE/EIT). - Demonstrated experience with data quality metrics, annotation processes, and guideline-driven workflows (as evidenced by prior roles or projects). - Breadth across multiple engineering disciplines, with the ability to credibly review work outside your primary specialty. - Experience with performance management, coaching, training program development, and certification frameworks. - 1+ years of hands-on experience in data labeling, annotation, AI training/evaluation, content quality, or similar operational domains. - Professional experience building scalable, high-performance technology applications. - Previous experience leading small teams in data labeling, annotation, or related operations. - Proven ability to manage multiple concurrent projects and prioritize effectively in a fast-paced environment. - Strong track record of reviewing domain work, ensuring data quality, and improving operational processes. - Proficiency in data analysis and associated tools (SQL a plus); ability to use metrics and KPIs to drive continuous improvement. - Experience managing mixed employment types (full-time employees and contractors) or distributed teams. - Excellent verbal and written communication skills with the ability to build rapport quickly and align stakeholders. - Strong organizational skills, high attention to detail, proactive problem-solving mindset, and focus on continuous improvement. - Strategic thinking combined with strong hands-on execution. - Specialty or strong domain expertise in at least one of the following areas: Finance, STEM, Coding/Software Engineering, or other technical fields. - Passion for building high-performing teams and scaling high-quality Human Data operations. ADDITIONAL REQUIREMENTS: - Candidates must be based in one of the following countries where SpaceXAI has a physical office; remote work is also possible - United States - Dubai - Ireland - United Kingdom - Ireland - Japan - India - Indonesia - South Korea - Philippines - Singapore COMPENSATION AND BENEFITS: US based candidates: $104,000 - $170,400 USD depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Base salary is just one part of our total rewards package at SpaceXAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks. Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .
AI Tutor - Design
SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: We are seeking a skilled AI Design Specialist to enhance SpaceXAI's models by providing high-quality data annotations and inputs tailored to design contexts. In this role, you will leverage your expertise in fields such as graphic design, brand and visual design, product or UI/UX design, web design, game design, and illustration to support the training of Grok. You will evaluate, refine, and create design work so Grok can distinguish weak design from work that is clear, functional, and well-resolved. This work is grounded in design judgment, not software engineering or mastery of every medium. RESPONSIBILITIES: - Evaluate design outputs across formats, including visual assets, layouts, documents, websites, interactive prototypes, and/or games. - Distinguish weak design from work that is actually clear, functional, and well-resolved; identifying and clearly articulating issues that look attractive but fail in use. - Refine, restyle, or recreate outputs when they fall short, producing exceptionally strong examples. - Write precise, well-reasoned annotations and critiques advising upon the difference between mediocre, good, and excellent design. - Help label high-quality datasets spanning graphic design, interface design, web experiences, game feel, and related design writing. - Collaborate with engineering teams on evaluation tasks, rubrics, and examples that set a high bar for design quality. - Work across a wide range of briefs and styles, from simple static pieces to complex interactive products, while staying consistent in quality and judgment. BASIC QUALIFICATIONS: - Demonstrated design excellence in at least one professional discipline, such as graphic design, brand/visual design, product or UI/UX design, web design, game design, or illustration. - A portfolio (personal site, Behance, Dribbble, ArtStation, shipped product, published work, or equivalent) that shows strong taste and finished, high-quality work. - Sharp eye for fundamentals: visual hierarchy, typography, spacing, color, composition, consistency, and clarity of communication. - Ability to evaluate design quality even outside your primary specialty, and to say clearly what works, what does not, and why. - Fluency in English, with excellent written communication for critiques, annotations, and design rationale. - High attention to detail and comfort working from evolving instructions in a fast-paced evaluation setting. - Comfort creating high-quality reference examples, not only scoring existing ones. PREFERRED SKILLS AND EXPERIENCE: - Strength across more than one design domain (for example, graphic design plus web, or UI plus game design). - Experience shipping or professionally reviewing websites, product interfaces, or games. - Familiarity with accessibility and inclusive design principles (for example, contrast, readability, target size, and clear information architecture). - Working knowledge of modern design tools such as Figma, Adobe Creative Cloud, or equivalent; frontend or game-engine familiarity is a plus but not required. - Experience with generative AI design tools and a clear point of view on when AI output looks generic, broken, or actually well-designed. - Prior experience in design critique, art direction, QA, design review, data annotation, dataset creation, or AI evaluation. - Familiarity with Google Workspace, Slack, Notion, and other remote work and collaboration tools. LOCATION AND OTHER EXPECTATIONS: - Tutor roles may be offered as full-time, part-time, or contractor positions, depending on role needs and candidate fit. - For contractor positions, hours will vary widely based on project scope and contractor availability, with no fixed commitments required. On average most projects may involve at least 10 hours per week to achieve deliverables effectively though this is not a fixed commitment and depends on the scope of work. Contractors have full flexibility to set their own hours and determine the exact amount of time needed to complete deliverables. - Tutor roles may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role specific needs. - For US based candidates, please note we are unable to hire in the states of Wyoming and Illinois at this time. - We are unable to provide visa sponsorship. - For those who will be working from a personal device, your computer must be a Chromebook, Mac with MacOS 11.0 or later, or Windows 10 or later. COMPENSATION AND BENEFITS: US based candidates: $35/hour - $75/hour depending on factors including relevant experience, skills, education, geographic location, and qualifications. International candidates: Information will be provided to you during the recruitment process. Benefits vary based on employment type, location and jurisdiction. Benefits for eligible U.S. based positions include health insurance, 401(k) plan, and paid sick leave. Specific details and role specific information will be provided to you during the interview process. SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice .
Strategic AI adoption lead (West)
🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role WRITER is looking for a customer success professional who will own deployment and activation success across a customer portfolio. You'll embed deeply into your customers' organizations, understand their business objectives, and build the programs, communities, and frameworks that turn AI investment into measurable outcomes. You'll partner closely with a Transformation lead to identify the right WRITER capabilities for each use case, then design and execute the strategies that drive meaningful adoption: building champion networks, running customized workshops, and advising customers on how to scale their AI programs over time. The ideal candidate brings a builder's mindset to customer success: you're not waiting for customers to engage, you're creating the conditions for it. This is a hybrid role based in our San Francisco or Seattle hub. 🦸🏻♀️ What you'll do Own activation and platform success - Deeply understand each customer's specific use cases, business objectives, and success metrics - Build and co-develop custom AI solutions with customers, translating their specific use cases into workflows that drive measurable business impact - Design and execute activation strategies that drive measurable platform adoption and business outcomes - Implement champion programs, office hours, usage dashboards, customized trainings, and workshops Build champion communities - Create advocate networks and champion communities within customer organizations - Establish power user communities that drive peer-to-peer learning - Train internal customer trainers to scale enablement - Design innovative customer experiences that deepen engagement Lead educational workshops & live events - Facilitate dynamic live and virtual training sessions tailored to diverse audiences - Partner with curriculum team while owning customization and delivery for your customers - Create memorable learning experiences that inspire action and drive adoption Continuously improve & collaborate - Refine materials based on customer feedback and adoption data - Work cross-functionally to understand evolving customer needs - Identify gaps and champion new training opportunities - Build deep relationships with customer stakeholders and executive sponsors ⭐️ What you need Customer success & activation expertise - At least 9 years of proven track record owning activation success and driving measurable adoption outcomes - Deep experience understanding customer use cases: you discover, map, and leverage specific workflows and business objectives - Experience implementing activation strategies: champion programs, office hours, dashboards, and workshops - Success building advocate networks and power user communities - Ability to connect platform usage to business outcomes and articulate ROI AI & technical proficiency - Ability to scope, design, and deliver custom solutions and demos tailored to customer use cases, working hands-on alongside business stakeholders - Comfortable understanding technical concepts and communicating them effectively to varied audiences - Ability to demonstrate use cases and articulate business value Facilitation & education skills - Expertise delivering virtual and live instructor-led workshops - Skilled at tailoring content and delivery to diverse audiences based on their use cases - Ability to partner effectively with curriculum teams while owning customization and delivery Collaboration & growth - Excellence building relationships with stakeholders at all levels - Strong program management skills and natural advisor mindset - Thrive in fast-paced environments; comfortable with experimentation - Self-aware, feedback-driven, and committed to continuous growth NOTE Travel Requirements: 25% domestic and international travel may be required. 🍩 Benefits & perks (US Full-time employees) - Generous PTO, plus company holidays - Medical, dental, and vision coverage for you and your family - Paid parental leave for all parents (16 weeks) - Fertility and family planning support - Early-detection cancer testing through Galleri https://www.galleri.com/partner/writer - Flexible spending account and dependent FSA options - Health savings account for eligible plans with company contribution - Annual work-life stipends for: - Wellness stipend for gym, massage/chiropractor, personal training, etc. - Learning and development stipend - Company-wide off-sites and team off-sites - Competitive compensation, company stock options and 401k WRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice https://writer.com/legal/candidate-privacy-notice/.
Strategic AI adoption lead (UK)
🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role WRITER is looking for a customer success professional who will own deployment and activation success across a customer portfolio. You'll embed deeply into your customers' organizations, understand their business objectives, and build the programs, communities, and frameworks that turn AI investment into measurable outcomes. You'll partner closely with a Transformation lead to identify the right WRITER capabilities for each use case, then design and execute the strategies that drive meaningful adoption: building champion networks, running customized workshops, and advising customers on how to scale their AI programs over time. The ideal candidate brings a builder's mindset to customer success: you're not waiting for customers to engage, you're creating the conditions for it. This is a hybrid role based in our London hub. 🦸🏻♀️ What you'll do Own activation and platform success - Deeply understand each customer's specific use cases, business objectives, and success metrics - Build and co-develop custom AI solutions with customers, translating their specific use cases into workflows that drive measurable business impact - Design and execute activation strategies that drive measurable platform adoption and business outcomes - Implement champion programs, office hours, usage dashboards, customized trainings, and workshops Build champion communities - Create advocate networks and champion communities within customer organizations - Establish power user communities that drive peer-to-peer learning - Train internal customer trainers to scale enablement - Design innovative customer experiences that deepen engagement Lead educational workshops & live events - Facilitate dynamic live and virtual training sessions tailored to diverse audiences - Partner with curriculum team while owning customization and delivery for your customers - Create memorable learning experiences that inspire action and drive adoption Continuously improve & collaborate - Refine materials based on customer feedback and adoption data - Work cross-functionally to understand evolving customer needs - Identify gaps and champion new training opportunities - Build deep relationships with customer stakeholders and executive sponsors ⭐️ What you need Customer success & activation expertise - At least 9 years of proven track record owning activation success and driving measurable adoption outcomes - Deep experience understanding customer use cases: you discover, map, and leverage specific workflows and business objectives - Experience implementing activation strategies: champion programs, office hours, dashboards, and workshops - Success building advocate networks and power user communities - Ability to connect platform usage to business outcomes and articulate ROI AI & technical proficiency - Ability to scope, design, and deliver custom solutions and demos tailored to customer use cases, working hands-on alongside business stakeholders - Comfortable understanding technical concepts and communicating them effectively to varied audiences - Ability to demonstrate use cases and articulate business value Facilitation & education skills - Expertise delivering virtual and live instructor-led workshops - Skilled at tailoring content and delivery to diverse audiences based on their use cases - Ability to partner effectively with curriculum teams while owning customization and delivery Collaboration & growth - Excellence building relationships with stakeholders at all levels - Strong program management skills and natural advisor mindset - Thrive in fast-paced environments; comfortable with experimentation - Self-aware, feedback-driven, and committed to continuous growth NOTE Travel Requirements: 25% domestic and international travel may be required. 🍩 Benefits & perks (UK full-time employees): - Generous PTO, plus company holidays - Comprehensive medical and dental insurance - Paid parental leave for all parents (16 weeks) - Fertility and family planning support - Early-detection cancer testing through Galleri https://www.galleri.com/partner/writer - Competitive pension scheme and company contribution - Annual work-life stipends for: - Wellness stipend for gym, massage/chiropractor, personal training, etc. - Learning and development stipend - Company-wide off-sites and team off-sites - Competitive compensation and company stock options
Strategic AI adoption lead (East)
🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role WRITER is looking for a customer success professional who will own deployment and activation success across a customer portfolio. You'll embed deeply into your customers' organizations, understand their business objectives, and build the programs, communities, and frameworks that turn AI investment into measurable outcomes. You'll partner closely with a Transformation lead to identify the right WRITER capabilities for each use case, then design and execute the strategies that drive meaningful adoption: building champion networks, running customized workshops, and advising customers on how to scale their AI programs over time. The ideal candidate brings a builder's mindset to customer success: you're not waiting for customers to engage, you're creating the conditions for it. This is a hybrid role based in our New York City hub. 🦸🏻♀️ What you'll do Own activation and platform success - Deeply understand each customer's specific use cases, business objectives, and success metrics - Build and co-develop custom AI solutions with customers, translating their specific use cases into workflows that drive measurable business impact - Design and execute activation strategies that drive measurable platform adoption and business outcomes - Implement champion programs, office hours, usage dashboards, customized trainings, and workshops Build champion communities - Create advocate networks and champion communities within customer organizations - Establish power user communities that drive peer-to-peer learning - Train internal customer trainers to scale enablement - Design innovative customer experiences that deepen engagement Lead educational workshops & live events - Facilitate dynamic live and virtual training sessions tailored to diverse audiences - Partner with curriculum team while owning customization and delivery for your customers - Create memorable learning experiences that inspire action and drive adoption Continuously improve & collaborate - Refine materials based on customer feedback and adoption data - Work cross-functionally to understand evolving customer needs - Identify gaps and champion new training opportunities - Build deep relationships with customer stakeholders and executive sponsors ⭐️ What you need Customer success & activation expertise - At least 9 years of proven track record owning activation success and driving measurable adoption outcomes - Deep experience understanding customer use cases: you discover, map, and leverage specific workflows and business objectives - Experience implementing activation strategies: champion programs, office hours, dashboards, and workshops - Success building advocate networks and power user communities - Ability to connect platform usage to business outcomes and articulate ROI AI & technical proficiency - Ability to scope, design, and deliver custom solutions and demos tailored to customer use cases, working hands-on alongside business stakeholders - Comfortable understanding technical concepts and communicating them effectively to varied audiences - Ability to demonstrate use cases and articulate business value Facilitation & education skills - Expertise delivering virtual and live instructor-led workshops - Skilled at tailoring content and delivery to diverse audiences based on their use cases - Ability to partner effectively with curriculum teams while owning customization and delivery Collaboration & growth - Excellence building relationships with stakeholders at all levels - Strong program management skills and natural advisor mindset - Thrive in fast-paced environments; comfortable with experimentation - Self-aware, feedback-driven, and committed to continuous growth NOTE Travel Requirements: 25% domestic and international travel may be required. 🍩 Benefits & perks (US Full-time employees) - Generous PTO, plus company holidays - Medical, dental, and vision coverage for you and your family - Paid parental leave for all parents (16 weeks) - Fertility and family planning support - Early-detection cancer testing through Galleri https://www.galleri.com/partner/writer - Flexible spending account and dependent FSA options - Health savings account for eligible plans with company contribution - Annual work-life stipends for: - Wellness stipend for gym, massage/chiropractor, personal training, etc. - Learning and development stipend - Company-wide off-sites and team off-sites - Competitive compensation, company stock options and 401k WRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice https://writer.com/legal/candidate-privacy-notice/.
Senior solutions architect (Central)
🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role Every company grows differently, and at WRITER, our growth is directly tied to empowering our users to create better content, faster, and at an unprecedented scale. As a strategic solutions architect, you'll be at the forefront of this mission, working directly with our largest and most strategic prospects to identify, validate, and build innovative agentic AI solutions that unlock massive business value. This isn't just about selling a product; it's about deeply understanding complex enterprise needs and architecting a future where AI transforms how our customers operate. You'll be instrumental in shaping how the world's leading companies adopt and scale AI, making a tangible impact on both their success and WRITER’s continued leadership in the enterprise generative AI space. This is a full-time, hybrid role based out of our Chicago hub. You will report directly to the Director, solutions architecture. 🦸🏻♀️ What you'll do - Drive strategic technical discovery with Fortune 500 prospects and customers, translating complex business challenges into clear, impactful technical solutions for AI-powered work - Architect and design robust, scalable, and secure generative AI solutions for enterprise clients, leveraging WRITER's platform, APIs, and custom applications to solve critical business problems - Lead the development and execution of compelling proofs of concept (PoCs) and demonstrations, building custom templates and integrating WRITER's capabilities to showcase transformative value and accelerate time-to-value for customers - Serve as a trusted technical advisor to C-suite executives, VPs of Engineering, and AI leaders, guiding their generative AI strategy and collaborating to define enterprise-level architecture roadmaps - Partner closely with WRITER's product and engineering teams, providing critical feedback from customer engagements to influence our product roadmap and ensure our solutions meet evolving market needs - Champion the adoption of WRITER's platform and APIs, educating prospects and partners on the art of the possible with generative AI and empowering them to build their own innovative solutions ⭐️ What you need - 5+ years of experience in technical customer-facing roles such as solutions architect, enterprise architect, or sales engineering, ideally within a high-growth, B2B SaaS company serving Fortune 500 clients - Deep expertise in generative AI principles, large language models (LLMs), and prompt engineering best practices, with a passion for staying ahead of the curve in this rapidly evolving field - Experience in Python, proficiency with APIs, and end-to-end orchestration, to augment AI workflows and integrate AI capabilities into complex enterprise systems - Exceptional communication and presentation skills, able to simplify complex technical concepts into clear, compelling business language for diverse audiences, from technical teams to executive leadership - A highly versatile and tenured problem solver, capable of leading multi-stakeholder discovery sessions, uncovering root causes, and architecting innovative solutions to complex business and technical challenges - A builder's mindset and a proven ability to connect deeply with customer needs, challenge the status quo with innovative AI solutions, and own the technical success and impact of client engagements 🍩 Benefits & perks (US Full-time employees) - Generous PTO, plus company holidays - Medical, dental, and vision coverage for you and your family - Paid parental leave for all parents (16 weeks) - Fertility and family planning support - Early-detection cancer testing through Galleri https://www.galleri.com/partner/writer - Flexible spending account and dependent FSA options - Health savings account for eligible plans with company contribution - Annual work-life stipends for: - Wellness stipend for gym, massage/chiropractor, personal training, etc. - Learning and development stipend - Company-wide off-sites and team off-sites - Competitive compensation, company stock options and 401k WRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice https://writer.com/legal/candidate-privacy-notice/.
Senior AI learning designer, rapid content
🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role In an AI-native environment, the product shifts fast, new workflows emerge weekly, and customers and internal teams surface needs in real time. Someone has to meet those needs at the speed they arise. That's this role. As a lead learning experience designer, you'll own a fast-paced, high-volume learning design track focused on short, targeted, just-in-time courses — typically 15–45 minutes each, built in sprints of three weeks or less, shipping roughly 15+ courses per year. You'll build focused one-off courses that plug specific gaps: a new workflow, a role-specific skill, a tool that just shipped, an AI topic that can't wait for the next curriculum cycle. These courses are standalone, purpose-built, and often shorter-lived — responding to the moment. You'll work both proactively (scanning for emerging needs) and reactively (fielding requests from across the company and from customers). The pace is fast, the iteration cycles are tight, and the environment is dynamic. If you're energized by change, comfortable shipping at speed, and able to balance strategic proactivity with rapid reactive response, this is your role. In addition, you'll deliver live and virtual trainings on these topics as needed — bringing the same speed and adaptability from your on-demand work into the live environment, whether in person or on a webinar platform. The primary medium for this role is video-based learning. You'll be the voice and face of your own instruction — recording voiceover or appearing on camera to teach software and AI topics, combined with screencaptures, screen recordings, and graphics. This is not a role where you'll hand off to a video team or rely on AI-generated voice. You are the teacher, and your voice is part of the craft. This role complements our end-to-end learning experience designers, who own robust, polished curricula built over longer timelines. You're not integrated within those larger curriculum builds; you're filling the space they can't reach. Your courses are shorter, faster, and more targeted, designed to serve a specific need and plug a gap where the larger curriculum moves too slowly. Think of it as the agile track of the LXD team: smaller scope, faster cadence, and a bias toward shipping. You won't be building three- to four-hour flagship programs. You'll be building tight, high-impact courses that get someone up to speed on a specific thing, quickly, and then moving on to the next one. 🦸🏻♀️ What you'll do - Design and build focused, standalone courses — typically 15–45 minutes — in sprints of three weeks or less, shipping roughly 15 courses per year across topics that are specific and targeted: particular workflows, role-based skills, individual tools, and timely AI topics that demand a fast response - Own the full design lifecycle for each course at speed — needs analysis, design, build, QA, and publish — without the extended timelines of end-to-end curriculum work, making smart scope decisions about what's essential, what can be cut, and how to deliver maximum learning value in a compact format - Deliver live and virtual training on the topics you build, with excellence — adapting on the fly to audience questions, skill levels, and industry-specific workflows, particularly across WRITER's verticals - Repurpose content across delivery modes (on-demand to live, live to on-demand, micro to full) maximizing reach without rebuilding from scratch - Scan proactively for emerging learning needs by monitoring product changes, customer signals, and internal feedback, and get ahead of them before they're formally requested, while also fielding and triaging incoming requests from across the company and from customers, responding quickly with targeted courses that address real, surfaced needs - Balance proactive and reactive work, making judgment calls about what's worth building, what can wait, and what should be deferred or declined, and ship at a cadence that keeps pace with the product and the business, prioritizing speed and relevance over exhaustive perfection - Partner with product, product marketing, customer-facing teams, and SMEs to gather what you need quickly and keep courses moving, coordinate with end-to-end learning experience designers to avoid duplication and ensure your rapid-response courses complement rather than compete with larger curriculum, flag topics that outgrow the rapid-response format, and share insights from the fast track to inform the team's longer-term roadmap - Deep experience creating video-based instructional content where you serve as the voiceover or on-camera talent for your own teaching. You do not rely on AI-generated voice for your training content. ⭐️ What you need - 5+ years of experience in instructional design, learning experience design, or a related field, with demonstrated experience designing and shipping courses at a fast pace - Proven ability to design effective learning in compact formats — you know how to scope tight, cut ruthlessly, and deliver high-impact learning in 15–45 minutes rather than three to four hours - Comfort with rapid development cycles and short sprints; you've worked in fast-paced environments and you thrive there rather than burning out, embracing the pace of an AI-native environment where the topics you're building for may shift mid-sprint — and adapting without losing momentum - Strong prioritization and triage skills — you can juggle proactive and reactive work, make tradeoffs, and say no when something doesn't warrant a course - Excellent live facilitation skills — you're confident and effective delivering in person and virtually, able to read a room (physical or virtual), adapt on the fly, and keep learners engaged, and you're as comfortable in front of an audience as you are behind a slide deck - Excellent stakeholder management — you can gather what you need from SMEs and partners quickly, keep things moving, and communicate clearly about expectations, with proficiency in standard LXD tools including authoring tools (e.g., Parta), LMS platforms (e.g., Skilljar), slide/presentation tools, video production tools, and basic design tools - A portfolio that demonstrates your craft — At least 2 video-based course excerpts where you serve as the voiceover or on-camera talent for your own teaching — combining your own voice with screencaptures, screen recordings, and graphics to teach software or AI topics. Static text- and graphics-based samples alone don't demonstrate what this role requires. This is a chance to show us the full breadth of what you can do — video, graphics, interactive elements, slide design, in-product walkthroughs, or any combination — but video-based teaching with your own voice should be central. 🍩 Benefits & perks (US Full-time employees) - Generous PTO, plus company holidays - Medical, dental, and vision coverage for you and your family - Paid parental leave for all parents (16 weeks) - Fertility and family planning support - Early-detection cancer testing through Galleri https://www.galleri.com/partner/writer - Flexible spending account and dependent FSA options - Health savings account for eligible plans with company contribution - Annual work-life stipends for: - Wellness stipend for gym, massage/chiropractor, personal training, etc. - Learning and development stipend - Company-wide off-sites and team off-sites - Competitive compensation, company stock options and 401k WRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice https://writer.com/legal/candidate-privacy-notice/.
Product marketing lead
🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role Writer is the enterprise AI platform for agentic work, purpose-built for the Fortune 500 — and our platform is expanding fast. As a product marketing lead, you'll own the go-to-market strategy for new products and features in our Core app, helping prospects understand how WRITER empowers marketing and sales teams to transform their work, and driving new feature adoption among current customers. You'll sit at the intersection of product, sales, and marketing — translating complex platform capabilities into crisp messaging that resonates with enterprise buyers. 🦸🏻♀️ What you’ll do - Own end-to-end product marketing for WRITER Agent and other key features of our core app, including positioning, messaging, launch strategy, and competitive differentiation – translating new agentic capabilities into clear enterprise value - Partner with product, demand generation, content, comms, and customer marketing teams to drive go-to-market for product and feature launches - Translate product investments into sales-ready narratives, partner with sales enablement to educate the field, and develop assets — pitch materials, one-pagers, objection-handling guides — that equip the field to sell our latest innovations - Drive product and feature adoption through regular user communications and programs - Conduct ongoing competitive intelligence and market research to sharpen differentiation against both point solutions and broader AI platforms - Collaborate with cross-functional marketing partners to ensure consistent product messaging across the buyer journey ⭐️ What you need - 6+ years of product marketing experience, or 3+ years of product marketing experience paired with 5+ years in a related field (e.g. sales enablement, customer success, customer education, or product management), in a B2B SaaS environment - AI native mindset with proven experience using agentic AI to automate GTM workflows - Proven track record of bringing complex products to market with clear, compelling positioning for both technical and business audiences - Strong sales enablement instincts — you know how to build narratives and assets that actually get used in the field - Experience working cross-functionally with Product, Sales, and Customer Success in a fast-moving environment - Excellent written communication - Experience or familiarity with the enterprise AI or agentic AI landscape is a strong plus 🍩 Benefits & perks (US Full-time employees) - Generous PTO, plus company holidays - Medical, dental, and vision coverage for you and your family - Paid parental leave for all parents (16 weeks) - Fertility and family planning support - Early-detection cancer testing through Galleri https://www.galleri.com/partner/writer - Flexible spending account and dependent FSA options - Health savings account for eligible plans with company contribution - Annual work-life stipends for: - Wellness stipend for gym, massage/chiropractor, personal training, etc. - Learning and development stipend - Company-wide off-sites and team off-sites - Competitive compensation, company stock options and 401k WRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice https://writer.com/legal/candidate-privacy-notice/.
Lead product manager (UK)
🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About this role This is a chance to help shape the next chapter of WRITER's product at a moment when generative AI is redefining how work gets done. As senior staff product manager, you'll report directly to Wil Pong, VP of Product, and operate as a force-multiplier across the product organization — setting direction where it's unclear, aligning stakeholders, and making sure our most critical initiatives ship with excellence. You'll own ambiguous, high-impact problem spaces that span multiple product areas and teams, and you'll be equal parts strategist and operator. One moment you're shaping a multi-quarter roadmap; the next you're rolling up your sleeves to unblock execution. We're looking for someone who thrives at the intersection of customer empathy, technical depth, and business judgment — and who is energized by turning complex, evolving AI capabilities into products customers love. 🦸🏻♀️ Your responsibilities - Drive high-impact product initiatives end-to-end, from discovery and problem definition through launch, adoption, and iteration across areas that span multiple squads and surfaces - Shape product strategy and roadmap in partnership with the VP of Product and product leadership, translating company-level goals into clear, sequenced, ambitious bets - Spend time with enterprise buyers, end users, and prospects to uncover unmet needs, validate problem-solution fit, and champion the customer voice in every decision - Partner closely with engineering and design to define requirements, navigate technical tradeoffs, and build the right things in the right order, bringing real fluency to conversations about LLMs, agents, platform architecture, and data - Align cross-functional stakeholders across go-to-market, sales, marketing, customer success, and executive leadership, communicating strategy and tradeoffs with crisp, audience-appropriate narrative - Define and own success metrics for your areas, using data and qualitative signal to evaluate impact, course-correct, and tell the story of outcomes to leadership - Raise the bar on product craft across the org by mentoring and coaching other PMs, modeling best practices, and strengthening a culture built on rigor, customer obsession, and velocity ⭐️ Is this you? - 8+ years of product management experience with a track record of owning and shipping complex, high-impact products, ideally in SaaS, platform, infrastructure, or AI/ML-driven environments - Senior- or staff-level experience operating autonomously across ambiguous, multi-team problem spaces and influencing outcomes well beyond your immediate team - Genuine customer obsession — you instinctively go to the customer, synthesize signal from noise, and design from a deep understanding of real workflows and pain points - Technical credibility to engage meaningfully with engineers and researchers on system design, LLM capabilities, data, and architecture, knowing when to go deep and when to defer to the experts - A blend of strong strategic thinking and relentless execution — you can set a compelling vision one moment and sweat the details of a release plan the next - Exceptional communication that you tailor for any audience, from a frontline engineer to the executive team, driving alignment without relying on org chart authority - A mentor's instinct and a builder's drive, with the data-informed, outcome-driven mindset to define success up front and move with the speed this environment demands Nice to haves - Experience building products powered by LLMs, generative AI, or large-scale AI/ML systems - Background in enterprise software, developer platforms, or developer-facing products - Familiarity with AI governance, guardrails, and the operational considerations of deploying AI in regulated or high-stakes environments 🍩 Benefits & perks (UK full-time employees): - Generous PTO, plus company holidays - Comprehensive medical and dental insurance - Paid parental leave for all parents (16 weeks) - Fertility and family planning support - Early-detection cancer testing through Galleri https://www.galleri.com/partner/writer - Competitive pension scheme and company contribution - Annual work-life stipends for: - Wellness stipend for gym, massage/chiropractor, personal training, etc. - Learning and development stipend - Company-wide off-sites and team off-sites - Competitive compensation and company stock options
Lead product manager
🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About this role This is a chance to help shape the next chapter of WRITER's product at a moment when generative AI is redefining how work gets done. As senior staff product manager, you'll report directly to Wil Pong, VP of Product, and operate as a force-multiplier across the product organization — setting direction where it's unclear, aligning stakeholders, and making sure our most critical initiatives ship with excellence. You'll own ambiguous, high-impact problem spaces that span multiple product areas and teams, and you'll be equal parts strategist and operator. One moment you're shaping a multi-quarter roadmap; the next you're rolling up your sleeves to unblock execution. We're looking for someone who thrives at the intersection of customer empathy, technical depth, and business judgment — and who is energized by turning complex, evolving AI capabilities into products customers love. We are open to hiring for this role at multiple levels, with compensation ranges scaled to match your experience, expertise, and the scope of the role. 🦸🏻♀️ Your responsibilities - Drive high-impact product initiatives end-to-end, from discovery and problem definition through launch, adoption, and iteration across areas that span multiple squads and surfaces - Shape product strategy and roadmap in partnership with the VP of Product and product leadership, translating company-level goals into clear, sequenced, ambitious bets - Spend time with enterprise buyers, end users, and prospects to uncover unmet needs, validate problem-solution fit, and champion the customer voice in every decision - Partner closely with engineering and design to define requirements, navigate technical tradeoffs, and build the right things in the right order, bringing real fluency to conversations about LLMs, agents, platform architecture, and data - Align cross-functional stakeholders across go-to-market, sales, marketing, customer success, and executive leadership, communicating strategy and tradeoffs with crisp, audience-appropriate narrative - Define and own success metrics for your areas, using data and qualitative signal to evaluate impact, course-correct, and tell the story of outcomes to leadership - Raise the bar on product craft across the org by mentoring and coaching other PMs, modeling best practices, and strengthening a culture built on rigor, customer obsession, and velocity ⭐️ Is this you? - 8+ years of product management experience with a track record of owning and shipping complex, high-impact products, ideally in SaaS, platform, infrastructure, or AI/ML-driven environments - Senior- or staff-level experience operating autonomously across ambiguous, multi-team problem spaces and influencing outcomes well beyond your immediate team - Genuine customer obsession — you instinctively go to the customer, synthesize signal from noise, and design from a deep understanding of real workflows and pain points - Technical credibility to engage meaningfully with engineers and researchers on system design, LLM capabilities, data, and architecture, knowing when to go deep and when to defer to the experts - A blend of strong strategic thinking and relentless execution — you can set a compelling vision one moment and sweat the details of a release plan the next - Exceptional communication that you tailor for any audience, from a frontline engineer to the executive team, driving alignment without relying on org chart authority - A mentor's instinct and a builder's drive, with the data-informed, outcome-driven mindset to define success up front and move with the speed this environment demands Nice to haves - Experience building products powered by LLMs, generative AI, or large-scale AI/ML systems - Background in enterprise software, developer platforms, or developer-facing products - Familiarity with AI governance, guardrails, and the operational considerations of deploying AI in regulated or high-stakes environments 🍩 Benefits & perks (US Full-time employees) - Generous PTO, plus company holidays - Medical, dental, and vision coverage for you and your family - Paid parental leave for all parents (16 weeks) - Fertility and family planning support - Early-detection cancer testing through Galleri https://www.galleri.com/partner/writer - Flexible spending account and dependent FSA options - Health savings account for eligible plans with company contribution - Annual work-life stipends for: - Wellness stipend for gym, massage/chiropractor, personal training, etc. - Learning and development stipend - Company-wide off-sites and team off-sites - Competitive compensation, company stock options and 401k WRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice https://writer.com/legal/candidate-privacy-notice/.
Infrastructure engineer (UK)
🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role At WRITER, our mission to expand human capacity with superintelligence relies on a foundational truth: our platform must be available, performant, and reliable, 24/7. As an Infrastructure engineer, you'll be at the heart of making this a reality, impacting every enterprise customer who trusts us with their AI-powered workflows. This isn't just about keeping the lights on; it's about pushing the boundaries of what's possible, proactively identifying and solving complex systemic challenges, and laying the groundwork for our rapid growth and the evolving demands of enterprise generative AI. You'll build resilient systems, automate across the stack, and champion reliability best practices, directly enabling our ambitious product roadmap and ensuring our customers always have access to the powerful tools they need. This is a hybrid position, based out of our New York City or London hubs. You'll report to our director of engineering. 🦸🏻♀️ What you'll do Technical - Breadth across disciplines. Bring deep focus to one problem at a time, with the breadth to move between SRE, DevOps, Infrastructure, and Platform work over a quarter or two as the leverage shifts. This is not a thrash-every-week role — most of the time you're heads-down on one substantial initiative (the on-call posture, the release pipeline, the multi-region Terraform layout, the internal platform surface). Cross-layer fluency is what lets you pick the right next initiative; it isn't a weekly context-switch. - Simplicity / via negativa. Challenge the status quo and remove toil before adding features — automate operational tasks and infrastructure management with Python or Go, reject tools that don't fit the problem, and treat manual on-call work as a defect to be designed out, not a status quo to be staffed up. - Breadth across the stack. Design scalable, fault-tolerant infrastructure across AWS (preferred), GCP, and Azure, working fluently across Kubernetes, Helm, Terraform, and the supporting cloud and AI tooling that backs WRITER's high-traffic platform. - AI in workflow. Run agents in your daily loop — Claude Code, Droid, Codex, internal skills — to investigate incidents, draft Terraform / Helm changes, write runbooks, scaffold tooling, and review PRs. Build the agentic setup as a collective surface: humans and digital teammates working as one team, with shared skills, shared context, and shared on-call workflows. Encode recurring infra tasks as internal skills any teammate (human or agent) can pick up and run, so the team's throughput compounds — not just your own. - Debugging fluency. Lead incident response, post-mortems, and root-cause analyses — trace failures to the underlying problem (never the symptom), apply the learning back into the architecture, and prevent the same incident from happening twice. Non-technical - End-to-end ownership. Own the reliability, performance, and efficiency of WRITER's core services end-to-end — define and uphold the SLOs and error budgets, carry the on-call pager, and stand behind the outcome metric, not just the system you shipped. - Strategic vs. tactical balance. Balance this week's critical work with the 6–12-month platform direction — ship the on-call-driving fix today while shaping the multi-year observability, cost, and reliability investments that move WRITER's enterprise customers. - Cross-functional collaboration. Operate at the seams with product, security, and engineering peers — provide expert guidance on system design for reliability, performance, and scalability from conception through launch, Connect the infra agenda to product and revenue context, and disagree with evidence, not volume. ⭐️ What you need Technical - Track record. 5+ years of experience in infrastructure engineering, DevOps, or a similar role focused on building and operating large-scale, high-availability production systems at a high-growth product company. - Breadth. Experience running containerisation in production (a real cluster, not a lab), with experience in Helm and Terraform or Pulumi on at least one major cloud (AWS preferred), plus good proficiency in Python or Go for automation and tooling. - AI in workflow. AI is part of how you ship, not a thing you've read about — agentic tooling (Claude Code, Droid, Codex, internal skills) is in your daily loop, you've built or adopted AI-assisted workflows others now use, and you have strong opinions on where it's unreliable. This is a hard requirement, not a bonus. Candidates whose actual daily workflow does not already include AI tooling will not be advanced. - First-principles + decision-making. Demonstrated ability to Challenge the status quo, proactively identify systemic weaknesses, and propose innovative solutions to complex reliability problems — reason from constraints and failure modes (not analogy or vendor defaults), name the tradeoff in business terms (reliability vs. velocity, cost vs. blast radius, standardisation vs. one-off), and reject the "best practices" answer when it doesn't fit the problem. - Reversibility & blast-radius. Make reversible calls by default — write the rollback before you touch production, work fluently with monitoring and logging stacks (Prometheus, Grafana, ELK or equivalent), and stress the system in safe places so it comes back stronger. Non-technical - Cross-functional collaboration. Excellent communication, collaboration, and problem-solving skills, with a talent for building strong relationships and Connecting with cross-functional teams — surface non-goals before anyone asks, and partner with product, security, and platform peers as one delivery surface. - Autonomy & end-to-end ownership. A strong sense of ownership and accountability, eager to Own mission-critical systems and drive them toward peak performance and unparalleled reliability. At least one 0-to-1 infrastructure build you owned end-to-end, with the outcome metric attached. 🎁 Bonus if you have - Software-engineering depth. A software-engineering background, not only config and scripting — you've designed, built, and shipped non-trivial production code (services, libraries, internal frameworks) in Python, Go, or a comparable language, you can read and modify the codebases your infrastructure runs, and you move between infra automation and feature engineering without changing brains. 🍩 Benefits & perks (UK full-time employees): - Generous PTO, plus company holidays - Comprehensive medical and dental insurance - Paid parental leave for all parents (16 weeks) - Fertility and family planning support - Early-detection cancer testing through Galleri https://www.galleri.com/partner/writer - Competitive pension scheme and company contribution - Annual work-life stipends for: - Wellness stipend for gym, massage/chiropractor, personal training, etc. - Learning and development stipend - Company-wide off-sites and team off-sites - Competitive compensation and company stock options
Infrastructure engineer
🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role At WRITER, our mission to expand human capacity with superintelligence relies on a foundational truth: our platform must be available, performant, and reliable, 24/7. As an Infrastructure engineer, you'll be at the heart of making this a reality, impacting every enterprise customer who trusts us with their AI-powered workflows. This isn't just about keeping the lights on; it's about pushing the boundaries of what's possible, proactively identifying and solving complex systemic challenges, and laying the groundwork for our rapid growth and the evolving demands of enterprise generative AI. You'll build resilient systems, automate across the stack, and champion reliability best practices, directly enabling our ambitious product roadmap and ensuring our customers always have access to the powerful tools they need. This is a hybrid position, based out of our New York City, San Francisco, Seattle, or London hubs. You'll report to our director of engineering. We are open to hiring for this role at multiple levels, with compensation ranges scaled to match your experience, expertise, and the scope of the role. 🦸🏻♀️ What you'll do Technical - Breadth across disciplines. Bring deep focus to one problem at a time, with the breadth to move between SRE, DevOps, Infrastructure, and Platform work over a quarter or two as the leverage shifts. This is not a thrash-every-week role — most of the time you're heads-down on one substantial initiative (the on-call posture, the release pipeline, the multi-region Terraform layout, the internal platform surface). Cross-layer fluency is what lets you pick the right next initiative; it isn't a weekly context-switch. - Simplicity / via negativa. Challenge the status quo and remove toil before adding features — automate operational tasks and infrastructure management with Python or Go, reject tools that don't fit the problem, and treat manual on-call work as a defect to be designed out, not a status quo to be staffed up. - Breadth across the stack. Design scalable, fault-tolerant infrastructure across AWS (preferred), GCP, and Azure, working fluently across Kubernetes, Helm, Terraform, and the supporting cloud and AI tooling that backs WRITER's high-traffic platform. - AI in workflow. Run agents in your daily loop — Claude Code, Droid, Codex, internal skills — to investigate incidents, draft Terraform / Helm changes, write runbooks, scaffold tooling, and review PRs. Build the agentic setup as a collective surface: humans and digital teammates working as one team, with shared skills, shared context, and shared on-call workflows. Encode recurring infra tasks as internal skills any teammate (human or agent) can pick up and run, so the team's throughput compounds — not just your own. - Debugging fluency. Lead incident response, post-mortems, and root-cause analyses — trace failures to the underlying problem (never the symptom), apply the learning back into the architecture, and prevent the same incident from happening twice. Non-technical - End-to-end ownership. Own the reliability, performance, and efficiency of WRITER's core services end-to-end — define and uphold the SLOs and error budgets, carry the on-call pager, and stand behind the outcome metric, not just the system you shipped. - Strategic vs. tactical balance. Balance this week's critical work with the 6–12-month platform direction — ship the on-call-driving fix today while shaping the multi-year observability, cost, and reliability investments that move WRITER's enterprise customers. - Cross-functional collaboration. Operate at the seams with product, security, and engineering peers — provide expert guidance on system design for reliability, performance, and scalability from conception through launch, Connect the infra agenda to product and revenue context, and disagree with evidence, not volume. ⭐️ What you need Technical - Track record. 5+ years of experience in infrastructure engineering, DevOps, or a similar role focused on building and operating large-scale, high-availability production systems at a high-growth product company. - Breadth. Experience running containerisation in production (a real cluster, not a lab), with experience in Helm and Terraform or Pulumi on at least one major cloud (AWS preferred), plus good proficiency in Python or Go for automation and tooling. - AI in workflow. AI is part of how you ship, not a thing you've read about — agentic tooling (Claude Code, Droid, Codex, internal skills) is in your daily loop, you've built or adopted AI-assisted workflows others now use, and you have strong opinions on where it's unreliable. This is a hard requirement, not a bonus. Candidates whose actual daily workflow does not already include AI tooling will not be advanced. - First-principles + decision-making. Demonstrated ability to Challenge the status quo, proactively identify systemic weaknesses, and propose innovative solutions to complex reliability problems — reason from constraints and failure modes (not analogy or vendor defaults), name the tradeoff in business terms (reliability vs. velocity, cost vs. blast radius, standardisation vs. one-off), and reject the "best practices" answer when it doesn't fit the problem. - Reversibility & blast-radius. Make reversible calls by default — write the rollback before you touch production, work fluently with monitoring and logging stacks (Prometheus, Grafana, ELK or equivalent), and stress the system in safe places so it comes back stronger. Non-technical - Cross-functional collaboration. Excellent communication, collaboration, and problem-solving skills, with a talent for building strong relationships and Connecting with cross-functional teams — surface non-goals before anyone asks, and partner with product, security, and platform peers as one delivery surface. - Autonomy & end-to-end ownership. A strong sense of ownership and accountability, eager to Own mission-critical systems and drive them toward peak performance and unparalleled reliability. At least one 0-to-1 infrastructure build you owned end-to-end, with the outcome metric attached. 🎁 Bonus if you have - Software-engineering depth. A software-engineering background, not only config and scripting — you've designed, built, and shipped non-trivial production code (services, libraries, internal frameworks) in Python, Go, or a comparable language, you can read and modify the codebases your infrastructure runs, and you move between infra automation and feature engineering without changing brains. 🍩 Benefits & perks (US Full-time employees) - Generous PTO, plus company holidays - Medical, dental, and vision coverage for you and your family - Paid parental leave for all parents (16 weeks) - Fertility and family planning support - Early-detection cancer testing through Galleri https://www.galleri.com/partner/writer - Flexible spending account and dependent FSA options - Health savings account for eligible plans with company contribution - Annual work-life stipends for: - Wellness stipend for gym, massage/chiropractor, personal training, etc. - Learning and development stipend - Company-wide off-sites and team off-sites - Competitive compensation, company stock options and 401k WRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice https://writer.com/legal/candidate-privacy-notice/.
Enterprise AI adoption lead (West)
🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role WRITER is looking for a customer success professional who will own deployment and activation success across a customer portfolio. You'll embed deeply into your customers' organizations, understand their business objectives, and build the programs, communities, and frameworks that turn AI investment into measurable outcomes. You'll partner closely with a Transformation lead to identify the right WRITER capabilities for each use case, then design and execute the strategies that drive meaningful adoption: building champion networks, running customized workshops, and advising customers on how to scale their AI programs over time. The ideal candidate brings a builder's mindset to customer success: you're not waiting for customers to engage, you're creating the conditions for it. This is a hybrid role based in our San Francisco or Seattle hub. 🦸🏻♀️ What you'll do Own activation and platform success - Deeply understand each customer's specific use cases, business objectives, and success metrics - Build and co-develop custom AI solutions with customers, translating their specific use cases into workflows that drive measurable business impact - Design and execute activation strategies that drive measurable platform adoption and business outcomes - Implement champion programs, office hours, usage dashboards, customized trainings, and workshops Build champion communities - Create advocate networks and champion communities within customer organizations - Establish power user communities that drive peer-to-peer learning - Train internal customer trainers to scale enablement - Design innovative customer experiences that deepen engagement Lead educational workshops & live events - Facilitate dynamic live and virtual training sessions tailored to diverse audiences - Partner with curriculum team while owning customization and delivery for your customers - Create memorable learning experiences that inspire action and drive adoption Continuously improve & collaborate - Refine materials based on customer feedback and adoption data - Work cross-functionally to understand evolving customer needs - Identify gaps and champion new training opportunities - Build deep relationships with customer stakeholders and executive sponsors ⭐️ What you need Customer success & activation expertise - At least 5 years of proven track record owning activation success and driving measurable adoption outcomes - Deep experience understanding customer use cases: you discover, map, and leverage specific workflows and business objectives - Experience implementing activation strategies: champion programs, office hours, dashboards, and workshops - Success building advocate networks and power user communities - Ability to connect platform usage to business outcomes and articulate ROI AI & technical proficiency - Ability to scope, design, and deliver custom solutions and demos tailored to customer use cases, working hands-on alongside business stakeholders - Comfortable understanding technical concepts and communicating them effectively to varied audiences - Ability to demonstrate use cases and articulate business value Facilitation & education skills - Expertise delivering virtual and live instructor-led workshops - Skilled at tailoring content and delivery to diverse audiences based on their use cases - Ability to partner effectively with curriculum teams while owning customization and delivery Collaboration & growth - Excellence building relationships with stakeholders at all levels - Strong program management skills and natural advisor mindset - Thrive in fast-paced environments; comfortable with experimentation - Self-aware, feedback-driven, and committed to continuous growth NOTE Travel Requirements: 25% domestic and international travel may be required. 🍩 Benefits & perks (US Full-time employees) - Generous PTO, plus company holidays - Medical, dental, and vision coverage for you and your family - Paid parental leave for all parents (16 weeks) - Fertility and family planning support - Early-detection cancer testing through Galleri https://www.galleri.com/partner/writer - Flexible spending account and dependent FSA options - Health savings account for eligible plans with company contribution - Annual work-life stipends for: - Wellness stipend for gym, massage/chiropractor, personal training, etc. - Learning and development stipend - Company-wide off-sites and team off-sites - Competitive compensation, company stock options and 401k WRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice https://writer.com/legal/candidate-privacy-notice/.
Enterprise AI adoption lead (UK)
🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role WRITER is looking for a customer success professional who will own deployment and activation success across a customer portfolio. You'll embed deeply into your customers' organizations, understand their business objectives, and build the programs, communities, and frameworks that turn AI investment into measurable outcomes. You'll partner closely with a Transformation lead to identify the right WRITER capabilities for each use case, then design and execute the strategies that drive meaningful adoption: building champion networks, running customized workshops, and advising customers on how to scale their AI programs over time. The ideal candidate brings a builder's mindset to customer success: you're not waiting for customers to engage, you're creating the conditions for it. This is a hybrid role based in our London hub. 🦸🏻♀️ What you'll do Own activation and platform success - Deeply understand each customer's specific use cases, business objectives, and success metrics - Build and co-develop custom AI solutions with customers, translating their specific use cases into workflows that drive measurable business impact - Design and execute activation strategies that drive measurable platform adoption and business outcomes - Implement champion programs, office hours, usage dashboards, customized trainings, and workshops Build champion communities - Create advocate networks and champion communities within customer organizations - Establish power user communities that drive peer-to-peer learning - Train internal customer trainers to scale enablement - Design innovative customer experiences that deepen engagement Lead educational workshops & live events - Facilitate dynamic live and virtual training sessions tailored to diverse audiences - Partner with curriculum team while owning customization and delivery for your customers - Create memorable learning experiences that inspire action and drive adoption Continuously improve & collaborate - Refine materials based on customer feedback and adoption data - Work cross-functionally to understand evolving customer needs - Identify gaps and champion new training opportunities - Build deep relationships with customer stakeholders and executive sponsors ⭐️ What you need Customer success & activation expertise - At least 5 years of proven track record owning activation success and driving measurable adoption outcomes - Deep experience understanding customer use cases: you discover, map, and leverage specific workflows and business objectives - Experience implementing activation strategies: champion programs, office hours, dashboards, and workshops - Success building advocate networks and power user communities - Ability to connect platform usage to business outcomes and articulate ROI AI & technical proficiency - Ability to scope, design, and deliver custom solutions and demos tailored to customer use cases, working hands-on alongside business stakeholders - Comfortable understanding technical concepts and communicating them effectively to varied audiences - Ability to demonstrate use cases and articulate business value Facilitation & education skills - Expertise delivering virtual and live instructor-led workshops - Skilled at tailoring content and delivery to diverse audiences based on their use cases - Ability to partner effectively with curriculum teams while owning customization and delivery Collaboration & growth - Excellence building relationships with stakeholders at all levels - Strong program management skills and natural advisor mindset - Thrive in fast-paced environments; comfortable with experimentation - Self-aware, feedback-driven, and committed to continuous growth NOTE Travel Requirements: 25% domestic and international travel may be required. 🍩 Benefits & perks (UK full-time employees): - Generous PTO, plus company holidays - Comprehensive medical and dental insurance - Paid parental leave for all parents (16 weeks) - Fertility and family planning support - Early-detection cancer testing through Galleri https://www.galleri.com/partner/writer - Competitive pension scheme and company contribution - Annual work-life stipends for: - Wellness stipend for gym, massage/chiropractor, personal training, etc. - Learning and development stipend - Company-wide off-sites and team off-sites - Competitive compensation and company stock options
Enterprise AI adoption lead (East)
🚀 About WRITER WRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI. Founded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI. 📐 About the role WRITER is looking for a customer success professional who will own deployment and activation success across a customer portfolio. You'll embed deeply into your customers' organizations, understand their business objectives, and build the programs, communities, and frameworks that turn AI investment into measurable outcomes. You'll partner closely with a Transformation lead to identify the right WRITER capabilities for each use case, then design and execute the strategies that drive meaningful adoption: building champion networks, running customized workshops, and advising customers on how to scale their AI programs over time. The ideal candidate brings a builder's mindset to customer success: you're not waiting for customers to engage, you're creating the conditions for it. This is a hybrid role based in our New York City hub. 🦸🏻♀️ What you'll do Own activation and platform success - Deeply understand each customer's specific use cases, business objectives, and success metrics - Build and co-develop custom AI solutions with customers, translating their specific use cases into workflows that drive measurable business impact - Design and execute activation strategies that drive measurable platform adoption and business outcomes - Implement champion programs, office hours, usage dashboards, customized trainings, and workshops Build champion communities - Create advocate networks and champion communities within customer organizations - Establish power user communities that drive peer-to-peer learning - Train internal customer trainers to scale enablement - Design innovative customer experiences that deepen engagement Lead educational workshops & live events - Facilitate dynamic live and virtual training sessions tailored to diverse audiences - Partner with curriculum team while owning customization and delivery for your customers - Create memorable learning experiences that inspire action and drive adoption Continuously improve & collaborate - Refine materials based on customer feedback and adoption data - Work cross-functionally to understand evolving customer needs - Identify gaps and champion new training opportunities - Build deep relationships with customer stakeholders and executive sponsors ⭐️ What you need Customer success & activation expertise - At least 5 years of proven track record owning activation success and driving measurable adoption outcomes - Deep experience understanding customer use cases: you discover, map, and leverage specific workflows and business objectives - Experience implementing activation strategies: champion programs, office hours, dashboards, and workshops - Success building advocate networks and power user communities - Ability to connect platform usage to business outcomes and articulate ROI AI & technical proficiency - Ability to scope, design, and deliver custom solutions and demos tailored to customer use cases, working hands-on alongside business stakeholders - Comfortable understanding technical concepts and communicating them effectively to varied audiences - Ability to demonstrate use cases and articulate business value Facilitation & education skills - Expertise delivering virtual and live instructor-led workshops - Skilled at tailoring content and delivery to diverse audiences based on their use cases - Ability to partner effectively with curriculum teams while owning customization and delivery Collaboration & growth - Excellence building relationships with stakeholders at all levels - Strong program management skills and natural advisor mindset - Thrive in fast-paced environments; comfortable with experimentation - Self-aware, feedback-driven, and committed to continuous growth NOTE Travel Requirements: 25% domestic and international travel may be required. 🍩 Benefits & perks (US Full-time employees) - Generous PTO, plus company holidays - Medical, dental, and vision coverage for you and your family - Paid parental leave for all parents (16 weeks) - Fertility and family planning support - Early-detection cancer testing through Galleri https://www.galleri.com/partner/writer - Flexible spending account and dependent FSA options - Health savings account for eligible plans with company contribution - Annual work-life stipends for: - Wellness stipend for gym, massage/chiropractor, personal training, etc. - Learning and development stipend - Company-wide off-sites and team off-sites - Competitive compensation, company stock options and 401k WRITER is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. By submitting your application on the application page, you acknowledge and agree to WRITER's Global Candidate Privacy Notice https://writer.com/legal/candidate-privacy-notice/.
System Test Automation Engineer
Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this particular role covers. 🛠️ About our Verification and Release Test Team Wayve’s Verification and Release Test team sits at the intersection of hardware, embedded software and machine learning models. Our testing spans component, system and vehicle levels, and we build novel test automation in-house to identify issues earlier in development. We pride ourselves on finding the most efficient and effective ways to deliver the most valuable results for the company. As a System Test Engineer, HIL, you’ll build robust, reusable automation and work across engineering disciplines to improve coverage, reliability and traceability. This is a hands-on delivery role with room to grow into broader areas of the system, including sensing and model-behaviour testing, as Wayve and your experience evolve. 🧠 Your day-to-day - Develop automation for system functionality tests at component, integration and system levels, working across software and hardware boundaries. - Lead root-cause investigations for failures identified during test campaigns, collaborating with hardware, software, infrastructure and DevOps teams to resolve issues. - Analyse test results, uncover software and hardware bugs, and report findings through Jira with clear evidence to support debugging. - Optimise Buildkite CI/CD-integrated test workflows for rapid, reliable and repeatable execution. - Review, create and follow risk assessments to ensure all testing activities are conducted safely and responsibly. 🧩 What you’ll be working on: - Independently owning the design and delivery of automated verification for a defined area of our embedded software stack, steadily raising the bar on coverage, reliability and traceability. - Building open-loop and closed-loop hardware-in-the-loop (HIL) replay tests, alongside reliability and fault-injection tests, to support verification, release and debugging. - Automating HIL test setups and improving test infrastructure to expand coverage, make failures easier to trace and strengthen compliance reporting. - Integrating requirements, coverage and compliance workflows, including Jama, MC/DC coverage analysis and MISRA checks, and managing test artefacts through Artifactory and Azure. - Developing traceability dashboards and defining KPIs and quality metrics that support data-driven validation and release decisions. 🙌 You should apply if: - You have hands-on experience with system-level verification and validation in robotics, embedded software or mechatronic systems, with a track record of independently delivering test automation. - You’re highly proficient in Python and have experience developing automation test frameworks using pytest. - You’ve worked with HIL testing and tooling, including interfaces such as CAN, Ethernet or GMSL, and tools from dSPACE, Vector, Xylon or similar providers. - You understand open-loop and closed-loop HIL replay testing using dSPACE or other emulators. - You’re familiar with automotive safety and process standards, including ISO 26262, ASPICE and SOTIF, and have experience integrating requirements and test-management tools such as Jama and Xray. - You’re proficient in CI/CD principles and related tooling, such as GitLab CI, Buildkite and Bazel. - You have experience developing or testing automotive software at embedded and system levels, including hardware/software interactions and interface-level testing, and have worked with L2+ hands-off, L3 or L4 automated driving systems. - You have knowledge of consumer safety-rating protocols such as Euro NCAP, including AEB and LSS/LKA scenarios; DCAS regulatory testing under UN R171; and automotive cybersecurity testing and standards, including ISO/SAE 21434 and UN R155. - You’ve worked with test automation dashboards, logging and reporting infrastructure, using tools such as Grafana, Looker, Datadog and Jira. - You’re a self-starter with a sharp eye for improvement who communicates clearly and works effectively across software, hardware, autonomy, DevOps and product teams. - Ideally, you’ve contributed to improvements in test methods, safety procedures or operational efficiency, and are familiar with data management and version control tools such as Git. - Experience using agentic AI coding tools such as Cursor or Claude Code to accelerate and improve test development, debugging and automation workflows would also be valuable. 🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement. More about Wayve: 🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines. Our ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility. How we work 💻- Locations & Flexible Working: Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives. 🔍 The Interview Process: Our process is clear and respectful of your time: - Initial call / recruiter screen (30 minutes) - Competency Interviews (Programming and hiring manager interview; 1 hour 45 minutes total) - Deep-dive technical interviews (Cross-functional, system design; 1 hour 45 minutes total) - Final interview: mission & values alignment (45 minutes). We’ll always explain the format and work around your availability. What’s in it for you (Location dependant): 💰 Salaries benchmarked against the market annually ✅ Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs 📚 Learning and development budgets with support for training, conferences and growth 🩺 Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more A quick, honest note before you apply. Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one. If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. https://wayve.ai/careers/ To learn more about what drives us, visit Values at Wayve https://wayve.ai/careers/ DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
Software Engineer, Simulation
Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this particular role covers. 🛠️ About our Simulation Teams As a software engineer in Wayve’s Core Simulation team, you will help develop the simulation system used to evaluate and improve Wayve’s driving intelligence. Wayve’s end-to-end driving stack creates unique simulation challenges: rather than testing independently specified modules, we need to reproduce the behaviour of a learned driving system across a complex combination of sensor data, model inference, routing, control and vehicle dynamics. Our simulator must be realistic enough to provide meaningful signal, reproducible enough for teams to trust the results, and descriptive enough to understand differences between simulated and on-road behaviour. Our open-loop and closed-loop simulation workflows share a common codebase, with different components executed and configured depending on the use case. You will initially work with the team focused on high-scale open-loop evaluation, while contributing to shared components and infrastructure used across the broader simulation system. 🧠 Your day-to-day - Work hands-on in the shared modern C++ and Python simulation codebase. - Implement scoped features and integrate driving-stack components, simulated robot systems and new vehicle-platform capabilities. - Support and test different simulation configurations, initially with a strong focus on high-scale open-loop evaluation. - Investigate differences between on-road and simulated execution, tracing issues across component interfaces, data flows, timing and configuration. - Improve automated testing, observability, reproducibility, reliability and developer tooling. - Profile simulator workloads and contribute performance and scalability improvements. - Collaborate with Simulation, Robotics, Autonomy, Evaluation, Platform and Data teams to clarify requirements and resolve integration issues. 🧩 What you’ll be working on - Develop and maintain production-quality components within Wayve’s simulation system using modern C++ and Python. - Integrate driving-stack components, simulated robot systems and new vehicle-platform capabilities into the shared simulation environment. - Support different simulation configurations and ensure components interact correctly across applicable workflows. - Investigate differences between on-road and simulated execution, identifying issues across data, inference and simulated components. - Improve simulation reproducibility, reliability and debuggability through automated testing, observability and better developer tooling. - Profile and improve simulator performance, helping us run increasingly large evaluation workloads efficiently. - Work with internal users and adjacent engineering teams to clarify requirements, resolve integration issues and deliver scoped improvements. - Contribute to technical designs and help evolve the quality and maintainability of the simulation codebase. 🙌 You should apply if - Professional experience developing, delivering and maintaining production software in a collaborative engineering environment. - Strong software development skills in C++ and Python, with depth in at least one and the ability to work effectively in both. - Relevant experience in simulation, robotics, autonomous systems or similarly complex systems involving multiple interacting software components. - Good understanding of software and data-oriented design, including how to build code that is maintainable, reusable and extensible. - Experience debugging complex systems and reasoning about interfaces, data flows, timing and failure modes. - Understanding of common software performance issues and the ability to make pragmatic design trade-offs. - Ability to independently deliver scoped features, communicate progress clearly and raise risks or blockers early. - Experience using GenAI development tools, such as coding assistants or agents, to improve productivity while carefully reviewing, testing and validating their output. - Strong communication and collaboration skills. 🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement. More about Wayve: 🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines. Our ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility. How we work 💻- Locations & Flexible Working: Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives. 🔍 The Interview Process: Our process is clear and respectful of your time: - Initial call / recruiter screen (30 mins) - Competency Interviews (Programming and hiring manager interview; 2 hours total) - Deep-dive technical interviews (Programming and domain-specific interviews; 2 hours total) - Final interview: Mission & values alignment (45 mins).. We’ll always explain the format and work around your availability. What’s in it for you (Location dependant): 💰 Salaries benchmarked against the market annually 📈 Meaningful equity, sharing in the ownership and long term success of Wayve ✈️ Relocation support and visa sponsorship where applicable ✅ Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs 📚 Learning and development budgets with support for training, conferences and growth 🩺 Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more A quick, honest note before you apply. Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one. If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. https://wayve.ai/careers/ To learn more about what drives us, visit Values at Wayve https://wayve.ai/careers/ DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
Senior / Staff Systems Engineer, AI Validation
Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this particular role covers. 🛠️ ABOUT OUR ENGINEERING TEAMS Wayve’s engineering teams are building the AI, robotics, simulation, data, and systems foundations needed to deploy a generalisable AI Driver safely and at scale. ABOUT AI VALIDATION AI Validation is a small, fast-growing team responsible for proving that the Wayve AI Driver behaves safely and effectively. The team owns end-to-end, simulation-led validation across driving competencies such as intersections, crossings, and lane changes. 🧠 YOUR DAY-TO-DAY - Own validation for one or more driving-behaviour competencies from strategy through execution. - Develop metrics and automated tests that connect product requirements to measurable driving performance. - Run simulation-based evaluations, analyse results, and investigate failure modes. - Define coverage requirements, test suites, and acceptance criteria with Product, Safety, and AV Engineering. - Report clear findings to Release and Autonomy Engineering stakeholders. - Work across data, simulation, and evaluation teams to remove dependencies and scale automated validation. 🧩 WHAT YOU’LL BE WORKING ON - General-purpose metrics for on-road and simulated driving behaviour. - Automated test frameworks for end-to-end learned driving systems. - Scenario coverage for complex behaviour areas, including unprotected intersections, crosswalks, and lane changes. - Validation strategies that work across multiple autonomy products. - Evidence that directly influences release decisions and helps bring the Wayve AI Driver to customers globally. 🙌 YOU SHOULD APPLY IF - You have hands-on experience with behaviour validation in autonomous driving, robotics, or a related product domain. - You have worked beyond basic lane-keeping or conventional ADAS and understand L2+, L3, or L4 validation challenges. - You can write Python professionally and have implemented metrics, tests, or evaluation tooling yourself. - You are a systems thinker who enjoys turning ambiguous requirements into practical, automated tests. - You can adapt to evolving simulation paradigms and communicate findings clearly. - Experience with SQL, large datasets, AI tooling, or agentic workflows is helpful. 🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement. MORE ABOUT WAYVE 🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end-to-end AI approach that enables vehicles to learn directly from real-world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand-coded rules or pre-mapped environments, our AI Driver learns to drive by understanding the world around it. Our ambition is to make autonomy universal. Wayve’s mapless and hardware-agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2+ through to L4 as our core AI model scales. HOW WE WORK 💻 — LOCATIONS & FLEXIBLE WORKING This role is based in Sunnyvale, California. We operate a hybrid working model that combines in-person collaboration with focused time working remotely. 🔍 THE INTERVIEW PROCESS - Initial call / recruiter screen (25 min) - Competency interviews (HM Screen; 45 min) - Deep-dive interviews covering systems and domain expertise (3-4 hours) - Final interview focused on mission and values alignment (60 min) We’ll always explain the format and work around your availability. WHAT’S IN IT FOR YOU (LOCATION DEPENDENT) - 💰 Salaries benchmarked against the market annually - 📈 Meaningful equity - ✈️ Relocation support and visa sponsorship where applicable - ✅ Hybrid working and access to vehicle workshops and labs - 📚 Learning and development support - 🩺 Comprehensive location-dependent health, family, retirement, and wellbeing benefits A quick, honest note before you apply. Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one. If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. https://wayve.ai/careers/ To learn more about what drives us, visit Values at Wayve https://wayve.ai/careers/ DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
ML Triaging Engineer
Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this particular role covers. 🛠️ About our Engineering Teams The Triage team in Application Software Japan, part of Product & Delivery, plays a critical role in the safety, reliability and triage efficiency of Wayve’s ADAS+ systems. It bridges Detective Engineering, Triage Engineering and the component teams, so that root causes in real-world vehicle behaviour are found quickly and accurately and issues get resolved faster. 🧠 Your day-to-day As a Customer Integration Engineer (ML Triaging Engineer), you’ll carry out first-level analysis of real-world run data and on-road interventions, work out likely root causes, and produce Top Issue reports across our test environments and operational domains. You’ll work closely with Detective Engineers on ambiguous or complex runs and with Triage Engineers on automated triage solutions, and you’ll own issues from identification through to documentation and reporting. As Wayve scales, so does the triage team, and you’ll handle multiple triage tasks, requests and safety incidents at the same time. 🧩 What you’ll be working on: - Performing first-level analysis on real-world run data and on-road interventions. - Investigating issues to identify or narrow down likely root causes, and working with Detective Engineers on deeper analysis of ambiguous or complex runs. - Partnering with Triage Engineers to support and improve automated triage solutions. - Managing the full issue lifecycle: identification, investigation, resolution, documentation, reporting and follow-through. - Adding accurate metadata to interventions, including root cause labels, Jira links and comments. - Validating triage automation bots, offline metrics and simulation suites, and making sure outputs meet quality standards. - Giving feedback on triage tooling and suggesting improvements to usability and speed. - Taking part in regular standups to address emerging concerns, set priorities and adapt to process changes. - Contributing to a high standard of safety, quality and operational discipline across triage. 🙌 You should apply if: Essential - Previous experience in ADAS, Autonomous Vehicles or Testing - Passion for Quality and Safety-first mindset. - Ability to learn and use a variety of internal tools and software platforms. - Comfort with technical terminology related to ADAS systems and software stacks. - Strong communication skills across cross-functional and time-zone-distributed teams. - Analytical thinking, logical reasoning, and bias-free problem-solving. - Detail-oriented approach with a focus on accuracy, even over extended sessions. - Strong debugging, documentation, and investigation skills. - Ability to work independently and as part of a collaborative team. Desirable - Experience with issue tracking and configuration management (e.g., Jira, Confluence, Bitbucket). - Familiarity with software development concepts: source control, requirements analysis, build pipelines. - Exposure to software release workflows and release testing practices. - Basic experience with scripting (e.g., Bash, Python). - SQL/data analysis proficiency for deeper log review and trend analysis. - Experience with AV testing or robotics systems. 🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement. More about Wayve: 🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines. Our ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility. How we work 💻- Locations & Flexible Working: Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives. 🔍 The Interview Process: Our process is clear and respectful of your time: - Initial call / recruiter screen (30 mins) - Competency Interviews (Hiring manager screen on your background and the role; 30-45 mins) - Deep-dive technical interviews (solution and workflow development, practical triage and data analysis; 3 hours total) - Final interview: mission & values alignment (1 hour). We’ll always explain the format and work around your availability. What’s in it for you (Location dependant): 💰 Salaries benchmarked against the market annually 📈 Meaningful equity, sharing in the ownership and long term success of Wayve ✈️ Relocation support and visa sponsorship where applicable ✅ Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs 📚 Learning and development budgets with support for training, conferences and growth 🩺 Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more A quick, honest note before you apply. Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one. If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. https://wayve.ai/careers/ To learn more about what drives us, visit Values at Wayve https://wayve.ai/careers/ DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
Lead Technical Program Manager, Data
Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this particular role covers. 🛠️ About our Program Management Team Wayve’s Program Management team turns complex technical goals into coordinated delivery. Working closely with engineering, research and product teams, we align priorities, manage dependencies and bring clarity to ambiguous challenges. We combine technical depth with cross-functional leadership to help teams move faster, more effectively and with purpose—focusing on meaningful outcomes rather than process for its own sake. As part of this team, you’ll build and lead the technical programme management function supporting our Data organisation. You’ll partner with Data and Engineering leadership to make valuable data immediately and reliably usable, combining hands-on ownership of flagship programmes with coaching and developing a small, high-impact TPM team. 🧠 Your day-to-day - Coach and support a small, high-impact TPM team, helping people develop their skills, work through challenges and raise the standard of programme delivery. - Act as a trusted delivery partner to Data and Engineering leadership, aligning priorities, challenging trade-offs and holding teams and leaders accountable for meaningful outcomes. - Work across data, ML, engineering and external data and annotation suppliers to manage dependencies, surface risks and remove blockers. - Use KPIs, dashboards and operational reviews to understand delivery progress, identify bottlenecks and steer decisions with the right data. - Represent the Data organisation in company-level reviews, communicating progress, risks and decisions clearly and connecting delivery to business impact. 🧩 What you’ll be working on: - Building and scaling the technical programme management function for our Data organisation, hiring to fill capability gaps and growing a high-performing team. - Owning planning, prioritisation and execution across the data roadmap in partnership with Data leadership. - Leading flagship programmes directly across the data platform, ingestion and standardisation pipelines, enrichment and curation, labelling and annotation, and dataset management and quality. - Establishing scalable planning cadences, governance, escalation paths and operational practices that bring structure without slowing delivery. - Driving measurable improvements in data quality, throughput, cost and time-to-insight, making the data that powers our models more reliably and predictably available. 🙌 You should apply if: - You bring 8+ years of deep, hands-on experience delivering data programmes as a technical programme manager, spanning data platforms, pipelines, enrichment, curation or labelling. You’ve built or scaled a programme function, led people and processes, and get things done with ownership and a bias for action. - You build, coach and grow high-performing teams. You know how to develop people, hire to strengthen the team and raise the bar on technical programme management. - You have strong technical depth across data platforms, pipelines and large-scale distributed infrastructure, including platforms operating at petabyte scale. You can engage credibly with engineers without being expected to write production code. Your experience includes: - Data ingestion from raw data through multiple processing stages and pipelines, with an understanding of directed acyclic graphs (DAGs), their uses and their challenges. - A solid understanding of machine learning, GPUs, and training and inference for models with 500 million to 20 billion parameters. - Proficiency with some or all of Databricks, Flyte, Ray, Kubernetes, Azure, Docker and Python. - Proficiency with AI agents such as Cursor, Claude or Codex to accelerate execution. - You stay objective under pressure and adapt your approach in ambiguous, fast-moving environments. You bring structure and clarity without creating unnecessary process or slowing delivery. - You think in systems, understanding how the parts of a complex data platform fit together and how changes in one area affect others. - You’re product-minded, focusing on the people your programmes serve, prioritising by impact and defining what good looks like—not just tracking activity. - You align and influence across data, ML and engineering without relying on formal authority. - You connect data investment to measurable outcomes, including quality, throughput and cost, and communicate direction and progress clearly using the right metrics. - You’re open to feedback and continuously improve how you and your team work. - Ideally, you’ve worked with large-scale distributed data platforms used by hundreds of engineers and researchers. - Experience in autonomous vehicles, robotics or other large-scale data and ML programmes would also be valuable. - An engineering or computer science degree, or experience working as an engineer, alongside fluency with modern delivery tools such as Jira, would be a plus. 🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement. More about Wayve: 🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines. Our ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility. How we work 💻- Locations & Flexible Working: Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives. 🔍 The Interview Process: Our process is clear and respectful of your time: - Initial call / recruiter screen (30 minutes) - Competency Interviews (TPM process, Cross-functional; 1 hour 45 minutes total) - Deep-dive technical interviews (Program Design, Leadership & Management; 1 hour 45 minutes total) - Final interview: mission & values alignment (30 minutes). We’ll always explain the format and work around your availability. What’s in it for you (Location dependant): 💰 Salaries benchmarked against the market annually ✅ Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs 📚 Learning and development budgets with support for training, conferences and growth 🩺 Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more A quick, honest note before you apply. Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one. If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. https://wayve.ai/careers/ To learn more about what drives us, visit Values at Wayve https://wayve.ai/careers/ DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
Data Engineer, Data Quality & Provenance
Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this particular role covers. 🛠️ About our Data Quality & Provenance Team Our Data Quality & Provenance team sits within Wayve’s AI Platform organisation and builds the trusted data foundations behind our self-driving technology. We transform vast volumes of fleet and simulation data into discoverable, reliable and reproducible datasets for model training, evaluation, replay, scenario mining and safety analysis. Operating at petabyte scale, the team defines the data products, standards and systems that enable our engineering teams to use data with confidence. 🧠 Your day-to-day - Design and operate scalable batch and streaming pipelines for multimodal fleet and simulation data. - Build data models, catalogues, indexes and query capabilities that make sensor, vehicle-state, map and event data easy to discover and use. - Create versioned, reproducible datasets for training, evaluation, replay, scenario mining and safety analysis. - Develop workflows for data ingestion, synchronisation, transformation, curation, labelling and quality validation. - Partner with autonomy, ML, simulation and safety engineers to define schemas, APIs and data contracts. - Improve the reliability, performance and cost efficiency of large-scale storage and compute workloads. 🧩 What you’ll be working on - Petabyte-scale data products supporting autonomous-driving development across ML, autonomy, simulation and safety teams. - Trusted datasets with strong versioning, lineage and reproducibility guarantees. - Metadata, geospatial and temporal indexing that enables data discovery, selection and scenario mining. - Systems that combine real-world fleet logs with simulation and synthetic data for closed-loop development. - Data-quality standards, observability, access controls, retention policies and incident-response processes. - Cloud-based storage and distributed-compute infrastructure designed for reliability, scalability and cost efficiency. 🙌 You should apply if - You have strong hands-on Python and SQL skills, supported by solid production software-engineering fundamentals. - You have designed and operated large-scale distributed data systems beyond small analytics or reporting pipelines. - You have production experience with distributed-processing and workflow-orchestration technologies such as Spark, Flyte or Airflow. - You have built cloud-based data platforms using object storage and understand data organisation, versioning, querying, governance and cost management. - You have owned data quality, lineage, observability, reproducibility and incident response for production data workflows. - You can translate ambiguous requirements from ML, data-science, robotics or similarly technical teams into durable, reusable platform capabilities. - You are comfortable working in ambiguity and helping define the standards and operating model for a growing data platform. - Experience with autonomous vehicles, ADAS, robotics, mapping, sensor-rich systems, geospatial data or multimodal datasets would be an advantage. 🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement. More about Wayve: 🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines. Our ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility. How we work 💻- Locations & Flexible Working: Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives. 🔍 The Interview Process Our process is clear and respectful of your time - Initial call / recruiter screen (30 mins) - Competency interview: Python Programming (60 mins) SQL Data Domain (60 mins) - Deep-dive technical interview: Systems Design (60 mins) Hiring manager interview (45 mins) - Final interview: Mission and Values Alignment (45 mins) We’ll always explain the format and work around your availability. What’s in it for you (Location dependant): 💰 Salaries benchmarked against the market annually 📈 Meaningful equity, sharing in the ownership and long term success of Wayve ✈️ Relocation support and visa sponsorship where applicable ✅ Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs 📚 Learning and development budgets with support for training, conferences and growth 🩺 Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more A quick, honest note before you apply. Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one. If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. https://wayve.ai/careers/ To learn more about what drives us, visit Values at Wayve https://wayve.ai/careers/ DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
Data Engineer, Application Software
Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that. Here’s what this particular role covers. 🛠️ About our Engineering Teams The Machine Learning team within Application Software, part of Product & Delivery, works on critical initiatives that push the frontier of model-based autonomous driving. That covers core driving performance as well as feature-level intelligence such as personalisation, comfort and collaboration. 🧠 Your day-to-day As a Data Engineer, you’ll design and deliver scalable data pipelines that turn vast amounts of data from diverse internal and external sources into structured, reliable and model-ready datasets. Your work spans data ingestion, data quality assurance, transformation, curation, evaluation and ML support. You’ll work closely with Wayve’s Data Corpus teams, customer programmes and ML engineers, bringing up ingestion pipelines for new vehicle platforms and sensor configurations, and tackling the highest-impact bottlenecks first. 🧩 What you’ll be working on: - Building and improving scalable data pipelines that support model development, evaluation and production ML workflows for autonomous driving. - Ingesting, transforming and curating large-scale real-world, synthetic and partner-provided datasets into structured, reliable, model-ready formats aligned with standardised taxonomies and coordinate systems. - Developing data quality checks, validation processes and monitoring so that raw vehicle data and processed datasets are high-quality, complete, consistent, traceable and fit for ML use cases. - Curating and mining real-world and synthetic data to drive scenario diversity, coverage and feature-specific development. - Improving pipeline performance, reliability and usability, reducing bottlenecks and increasing iteration velocity across ML development. - Collaborating closely with ML engineers, Data Corpus, AI Platform and external partners so data pipelines integrate effectively with production-scale learning systems. 🙌 You should apply if: Essential - Proven experience building and operating scalable data pipelines or distributed data processing systems in production environments. - Strong software engineering skills in Python, with a solid foundation in maintainable, reliable, and well-tested software development practices. - Proficient in SQL and PySpark, with experience using warehouse/OLAP concepts, window functions, and Spark for distributed data processing. - Experience with modern data pipeline architectures, including workflow orchestration and DAG-based systems such as Airflow, Flyte, Ray, or similar. - Solid understanding of robotics and automated driving data concepts, including sensor characteristics, timestamping and clock synchronisation, coordinate transformations, calibration, and ego-motion signals such as GNSS/IMU and vehicle odometry. - Understanding of machine learning development workflows, including training data generation, evaluation datasets, scenario mining, and model iteration. - Excellent communication and collaborative skills, capable of working effectively with interdisciplinary teams. Desirable - Prior work in calibration, perception, imitation learning, or trajectory prediction. - Experience with third-party dataset ingestion and transformation. - Familiarity with automated driving data and scenario taxonomies, including ODD definitions, manoeuvre and behavior labels, scene classification, event tagging, semantic understanding. 🌱 Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement. More about Wayve: 🚀 Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines. Our ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility. How we work 💻- Locations & Flexible Working: Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives. 🔍 The Interview Process: Our process is clear and respectful of your time: - Initial call / recruiter screen (30 mins) - Competency Interviews (System design and data engineering; 2 hours total) - Deep-dive technical interviews (Python coding and a technical domain interview; 2 hours total) - Final interview: mission & values alignment (1 hour). We’ll always explain the format and work around your availability. What’s in it for you (Location dependant): 💰 Salaries benchmarked against the market annually 📈 Meaningful equity, sharing in the ownership and long term success of Wayve ✈️ Relocation support and visa sponsorship where applicable ✅ Hybrid working, core hours and the chance to work hands on in vehicle workshops and labs 📚 Learning and development budgets with support for training, conferences and growth 🩺 Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and more A quick, honest note before you apply. Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one. If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. https://wayve.ai/careers/ To learn more about what drives us, visit Values at Wayve https://wayve.ai/careers/ DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
Technical Lead Manager, Multiverse
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The RO Performance Team is accountable for the largest metrics system deployment in the AV industry. The team manages data pipelines that monitor Waymo’s AV fleet in the real world at various latencies: from minutes to hours; supporting critical business decisions for deployments in new markets and identifying emergent business critical challenges. In addition, the same pipeline technologies are deployed for the virtual world to measure key outcomes from Waymo’s massive scale simulations, generating insights to support new Driver releases. Important objectives for the next couple of years include: - Reliably scaling as the business scales, Waymo is in its fast expansion phase and systems have to be built to support 100x growth. - Timeliness: As Waymo’s deployments accelerate across the globe, time to first detection needs to consistently improve. - Comprehensive coverage: Expanding into new weather conditions and new markets brings new challenges. Increasing the metric and detection offerings to meet these challenges is key to achieving our business goals. The team works closely with many other teams such as: metrics development teams including large AI deployments, System engineers and Data scientists that produce definitions and quality controls, infrastructure and UI teams that support underlying capabilities, product teams to stay sensitive to changing business needs, and site reliability engineering (SRE) teams to maintain high system uptime. You Will: - As TLM of the Event Insights sub-team, you will start with a small team (3-5) to work on key initiatives revolving around the enrichment, understanding, and management of metric events at low latency. Once metric events, e.g., a hard brake occurred, are minted from heavy logs processing pipelines, an event lifecycle emerges where such events may get sent to other systems for further refinement, including but not limited to: human triage, VLM inference, clustering. Key workstreams that the TLM will be accountable for include: - Clustering: Lead the creation of a dynamic event clustering product to produce event clusters at low latency for rapid understanding of emerging issues during new deployments of the Waymo Driver in simulation or in the real world. - Storage & APIs: Events need to be stored and queried by different downstream systems. Consumption APIs include pull or push based paradigms. Labels received from human triage or VLMs update existing events. The TLM is accountable for storage that scales to meet all these requirements. - Low Latency Orchestration: Gathering further event insights requires interaction with other systems at Waymo such as for human triage or large VLM inference. Orchestrating these interactions reliably and at low latency is key for meeting Waymo’s challenges. - Visualization: Work closely with partner UI teams to ensure that event insights can be delivered to end consumers and provide value for understanding the Waymo Driver’s performance. You have: - 7+ years of full-time software engineering experience, or a quantitative PhD with 2+ years of professional software engineering experience - C++ proficiency - Python familiarity - SQL familiarity - Management experience with a team size of 5+. - Hands-on experience with an ability to technically lead ICs daily, including knowledge of the codebase, eval and data pipelines, model, and algorithms. - Strong verbal and written communication skills - Excited about autonomous driving, Sim+Eval, eager to learn We prefer: - 10+ years of industry experience, including 2+ in a quantitative- or quality- focused engineering role in which you had experience as a technical lead for a team in which you were performing tasks like developing hypotheses, designing and running experiments, processing data from experiments, synthesizing conclusions, and ensuring the long term stability and health of the production system. - B.S. in Computer Science - Experience working with large FAANG scale distributed systems. - Experience building software reliability evaluation systems The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $238,000 - $302,000 USD
Staff Technical Lead Manager, ML Sensor Validation
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Perception Team at Waymo builds the system that "sees" the world around the self-driving car. We conduct novel research to address real-world perception problems and collaborate with research teams at Alphabet. Here at Waymo, we have access to millions of miles of driving data from a diverse set of sensors, enabling researchers like you to develop complex models and techniques at scale. Improvements deployed to our system can immediately advance our large fleet of autonomous vehicles. Within Perception, the Sensor Health team's job is to make sure that sensors "just work" for the entire self-driving car software stack. We make sure that all sensors are properly calibrated and consistently monitored at all times. We process data from next-generation sensors on next-generation vehicle platforms and work closely with both hardware and software teams to provide the best possible sensor data from our sensors to our upstream customers. To this end, we develop sensor data alignment and calibration algorithms, a growing sensor health backend, and deploy our systems both into the Waymo Driver and our log processing backend. In this hybrid remote/in-office role, you will report to a Senior Staff TLM. You will: - Lead and build a team of ML engineers in charge of reliable sensing anomaly detection and calibration - Build a data flywheel to automatically generate suitable training data for rare instance sensor degradation events using VLMs - Own the entire sensor validation stack end to end - Drive and accelerate collaborations between perception, system engineering, evaluation, and Alphabet teams You have: - MS in Computer Science, Robotics, Math, Physics or equivalent industry experience - 6+ years of experience in designing, training, and deploying ML-driven real-time robotics systems - 4+ years of experience leading technical teams and setting technical directions - 2+ years of people management experience We prefer: - PhD in Computer Science, Robotics, Math, Physics, or a related technical field - Experience in robotics, autonomous systems, or related automotive industries. - Experience with various sensor modalities (e.g., LiDAR, radar, cameras) and their unique challenges. - Familiarity with early fusion multi modal sensor models and their development challenges - Experience with rare instance or zero-shot detection problems The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $238,000 - $302,000 USD
Staff Software Engineer, Privacy
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. As Waymo prepares to bring the Waymo Driver to European markets, we are seeking a Privacy Engineer to lead the technical architectural design and implementation of our global privacy systems. In this role, you will bridge the gap between legal requirements (GDPR) and technical reality. You will not just "manage" compliance; you will build the actual engines, data pipelines, and anonymization frameworks that allow our autonomous vehicles to operate in strict regulatory environments. You will work closely with Legal, Product, and AI/ML teams to ensure that Privacy by Design is baked into our sensor data ingestion, mapping technologies, and rider experience from day one. You will: - Architect for EU Compliance: Design and build data handling systems that satisfy strict GDPR requirements, "Right to be Forgotten" automation, and consent management frameworks for European riders. - Sensor Data Anonymization: Develop and optimize computer vision and ML pipelines to automatically detect and blur faces, license plates, and other PII from camera/Lidar data at the edge (on-vehicle) and in the cloud before it enters our training sets. - Privacy Infrastructure: Write scalable code (C++/Java/Kotlin) to enforce retention policies, access controls, and data minimization across Waymo’s distributed infrastructure. - Partner with Waymo’s Legal and Policy teams to translate complex regulatory texts (e.g., the EU Data & AI Act) into concrete engineering specifications and system requirements. - Threat Modeling: Conduct privacy impact assessments (PIA) and threat modeling for new features, specifically focusing on cross-border data transfer risks and third-party vendor integration. You have: - BS degree in Computer Science, or a related technical field, or equivalent practical experience. - 8+ years of experience in software engineering with a focus on privacy, security, or data infrastructure. - Proficiency in one or more general-purpose programming languages (e.g., Python, C++, Java). - Deep understanding of GDPR. - Experience working with large-scale data processing frameworks (e.g., Flume, MapReduce, etc..) and cloud infrastructure. We prefer: - Prior experience helping a US-based tech company launch products in the European Economic Area (EEA) or UK. - Familiarity with privacy-preserving machine learning techniques, such as Differential Privacy, Federated Learning, or Homomorphic Encryption. - Experience building first-class user facing products. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000 - $310,000 USD
Staff Silicon Product Engineer
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the fully autonomous vehicle’s software stack. To achieve our mission, we architect and create high-performance custom silicon; we develop system-level compute architectures that push the boundaries of performance, power, and latency; and we collaborate closely with many other teammates to ensure we design and optimize hardware and software for maximum performance. We are a multidisciplinary team seeking curious and talented teammates to work on one of the world’s highest performance automotive compute platforms. This role follows a hybrid work schedule and reports to the Director, Silicon. You will: - Lead Custom Silicon Productization: Drive advanced ASICs and domain-specific architectures (TPU, ISP, AI/ML compute) for the Waymo Driver from first-silicon bring-up through characterization and high-volume production ramp. - Define System-Level Test (SLT) Content & Hardware Strategy: Develop targeted test workloads, stress conditions, and pass/fail criteria and the define and architect the production screening hardware to rigorously screen marginal silicon and system interactions. - Lead RMA & Field Failure Investigations: Drive comprehensive root-cause analysis for field returns and RMAs by correlating failure signatures with system telemetry, manufacturing history, and lab data to continuously improve ASIC reliability and close screening and validation gaps. - Execute Hands-On Debug & Production Readiness: Perform hands-on silicon debug using lab equipment, system logs, firmware/software traces, and schematics to develop product operating limits, guard bands, binning strategies, and screening criteria based on characterization results. - Optimize Yield & Product Health: Develop large-scale data mining and statistical analysis to identify failure signatures and yield limiters, translating hardware insights into actionable design feedback and scalable screening improvements. - Silicon Bring-Up and Product Characterization: Partner closely with architecture, validation, platform, operations, and supplier teams to correlate lab, manufacturing, and system telemetry data, and root-cause silicon and system-level issues. You have: - Master’s degree or PhD in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a related technical discipline. - 10+ years of experience in product engineering, silicon bring-up, silicon characterization, yield debug, system validation, failure analysis, or productization of SoC, ASIC, or other complex semiconductor products, including hands-on experience bringing up and characterizing complex silicon products from engineering samples through production release. - Experience defining or deploying system-level test, platform-level validation, production screening, or workload-based stress testing; Experience with yield analysis, failure signature analysis, margin analysis, guardbanding, correlation analysis, RMA analysis, or production-quality improvement. - Experience debugging silicon or system-level failures using characterization data, system logs, lab measurements, firmware/software traces, schematics, and manufacturing data; Ability to read and interpret schematics, silicon specifications, characterization reports, system logs, and production data. - Proficiency with Python, SQL, JMP, R, MATLAB, or equivalent tools for data analysis, automation, visualization, and debug. We prefer: - Experience with AI/ML accelerators, TPUs, GPUs, NPUs, ISPs, high-performance SoCs, automotive silicon, or domain-specific architectures. - Experience debugging interactions across silicon, board, firmware, driver, operating system, workload, and application layers including with OS kernel, drivers, BIOS, firmware, boot flows, telemetry, diagnostics, or low-level software debug. - Strong knowledge of PCIe, Ethernet, MIPI, high-speed interfaces, power delivery, clocking, reset, thermal behavior, or system performance optimization. - Experience working with foundries, OSATs, contract manufacturers, reliability labs, and external suppliers. - Experience applying machine learning, LLMs, RAG, agent frameworks, or advanced analytics to automate silicon characterization, yield debug, system log analysis, or production health monitoring. Self-motivated and results-oriented, with strong ownership of technical deliverables in a fast-paced development environment; Excellent written and verbal communication skills, with the ability to explain complex technical issues to cross-functional teams and leadership. Travel requirements : - Approximately 10% travel, Vendor sites in Taiwan, Bring-up Activities in California The expected base salary range for this full-time position is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $5,200,000 - $6,000,000 TWD
Staff Product Data Scientist, Experimentation
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo’s Product Data Science team works cross-functionally with Engineering, Product and Operations to help the company make the most informed decisions using data. Our team collaborates on high-impact projects across the company — from driving quality and operational efficiency to market analysis and rider satisfaction scores — we help to safely and efficiently scale the Waymo Driver. We are data-driven, curious, open-minded, and adapt quickly to new information. In this hybrid role, you will report to a Staff Product Data Scientist. You will: - Define the science roadmap for Waymo’s marketplace experimentation platform - Develop advanced testing methodologies to solve for physical-world dynamics like network effects and spatial-temporal correlations - Establish rigorous best practices for experiment design and evaluation across the broader product organization - Partner with engineering to translate algorithmic logic into automated, production-grade pipelines - Act as the primary domain expert on causal inference, providing technical leadership and translating complex results into clear product strategy You have: - An advanced degree in a quantitative field (e.g., Statistics, Economics, Operations Research, Computer Science) - 8+ years of industry experience with a deep focus on causal inference, experimental design, and applied statistics - Proficiency in SQL and Python, with a track record of partnering with engineering to build automated experimentation tools - Strong product sense and the ability to explain technical concepts to non-technical stakeholders We prefer: - Experience with two-sided marketplaces and physical-world operations (e.g., ride-hailing, delivery) - Familiarity with core marketplace systems (e.g., pricing, matching) - Experience integrating algorithmic methods into large-scale internal platforms The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $230,000 - $284,000 USD
Staff Machine Learning Engineer, Data Flywheel
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Perception team builds the system which learns the spatial-temporal representation and their semantic meanings of the surrounding environment of the autonomously driving vehicle (ADV), i.e., the system that “perceives” the world around the car. We work jointly with downstream teams on the optimization and integration into the Waymo Driver. We conduct our own research to address real-world problems and collaborate with research teams at Alphabet. We have access to millions of miles of driving data from a diverse set of sensors, enabling engineers like you to (1) develop methods for efficiently and continuously learning from large scale real-world data, to (2) develop models and model training at scale, to (3) analyze real-world behavior and develop systems for handling the complexities of interacting with the real-world, and (4) optimize models for our onboard and offboard hardware. In this hybrid role you will report to a Technical Lead Manager. You will: - Create large scale data sets and training recipes, develop methods and recipes for human and machine labeling of data sets - Develop methods for data mining and recipes for automated data collection/model update flywheels - Develop methods and recipes for evaluating real-world performance of models, and detecting regressions in model updates - Understand the data needs of the problem domain team and design scalable infra solutions that support model improvement and product expansion. - Design, build and implement ML data infra and validate the changes to support the continuing scaling of VLM data needs. - Collaborate with ML infrastructure teams and the problem domain team to address issues and bottlenecks and streamline validation. You have: - A degree in Computer Science, Engineering, or a related technical field - 4+ years of professional experience in the field of software engineering and machine learning - Proficiency in C++ and Python - Experience in designing distributed systems processing data at scale, especially ML data infra - Good foundational understanding of ML principles and SOTA methods - Passionate about building world-class ML infrastructure - Strong communication skills We prefer: - Experience with implementing data compliance & data governance solutions - Experience with VLM/LLMs The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $250,000 - $334,530 USD
Staff Data Scientist, Weather
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Rigorous evaluation of the Waymo Driver, including monitoring the performance of Waymo’s fleet in the field, is a critical part of scaling our ride hailing service and achieving Waymo’s ambitious goals. In this role, you will lead key initiatives for modeling weather patterns and their impact on Waymo’s ride hailing service, and streamlining Waymo’s operational procedures designed to mitigate weather-related challenges in real time and measuring the performance of the Waymo Driver in adverse weather conditions. In this hybrid role you will report to the Data Science Lead for Driving Quality & Scope Expansion. You will: - Define and uphold a high bar for measurement rigor. Ensure we can confidently rely on the evaluation signals informing deployment, scaling, and mitigation decisions. Identify and work to resolve any gaps where current evaluation signals are not scaling with Waymo’s business or providing the necessary actionability for stakeholders. - Build pipelines and models integrating a range of existing and novel weather-specific data sources (1P/2P/3P) to enhance Waymo’s weather intelligence and prediction capabilities. - Measure the performance of the Waymo driver in adverse/extreme weather conditions (fog, rain, snow, ice, hail, flooding), providing input on Waymo’s readiness to scale in challenging weather contexts. Communicate these findings to senior stakeholders. - Develop scalable and repeatable analysis frameworks that support multiple climate types, both domestically and internationally. - Optimize Waymo’s operational processes for addressing adverse/extreme weather across a wide range of geographical territories, making them smarter, more responsive, and more efficient. - Develop a deep understanding of Waymo’s long-term roadmap, and collaborate with leads in product, engineering, and systems engineering to unlock key deployment milestones. Be an opinionated partner influencing roadmaps for engineering work to improve our measurement capabilities. - Be an active technical contributor on the team, as well as a technical lead to junior data scientists. Frame and solve ambiguous problems by scoping technical priorities and innovating on statistical methods. Champion data science excellence and provide constructive technical feedback within the team and across Waymo. You have: - Degree in a quantitative field (e.g. Statistics, Mathematics, Physics). - Either a PhD in a quantitative field and 8+ years of industry experience, or 12+ years of industry experience solving data science problems. - Experience working with and building models for spatio-temporal data. - Experience as a technical lead. - Experience working in highly cross-functional teams and championing data-driven culture. - Expertise using advanced statistical methods in an applied setting; familiarity with ML systems/models. - Demonstrated knowledge of data analysis libraries and packages in Python, R, and/or SQL. We prefer: - PhD in a quantitative, weather-adjacent field (Atmospheric Science, Meteorology, Hydrology, etc.), and/or academic experience developing and applying statistical methods in those fields. - Experience working with third-party (e.g., public / private) weather data sources and integrating multiple data sources. - Experience solving problems related to weather modeling or prediction. - A demonstrated track record of independently driving data science projects to deliver business value. - Experience with large-scale evaluation frameworks for software development. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $251,000 - $310,000 USD
Software Engineer, Statistical Evaluation and Samp...
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's Release Evaluation org ensures that each version of the Waymo Driver is safe before it hits the road. We build automated pipelines to solve the long tail of rare and exceptional scenarios in autonomous driving, looking for needles in a haystack under both time and resource constraints. Within Release Evaluation, the Sampling and Efficiency team applies importance sampling techniques and machine learning to maximize the statistical efficiency of these discovery pipelines. You will: - Develop importance sampling techniques that enable our evaluation pipelines to deliver better signals with fewer resources. - Find signals in our logs and simulations that might help us to more efficiently discover rare and important events. - Build systems that systematically optimize multiple objectives under resource constraints. - Collaborate with other engineers, data scientists, statisticians and the leadership team to deliver evaluation products and help make data driven decisions. - Champion code health and best practices in a large and complex code base You have: - BS in Computer Science, Robotics, Statistics, Physics, Math or another quantitative area - Fluency with probability and statistics - Strong self-motivation to navigate complex systems and pursue open-ended problems to completion - 2-3 years of experience with - Navigating and modifying a large code base containing a variety of languages, such as C++, Python and SQL - Performing statistical analyses - Building data processing pipelines - Writing, reviewing, and merging code following industry standards for code health and maintainability We prefer: - Experience programming in C++ - Experience developing and evaluating sampling methods - Experience designing, training, evaluating, and applying ML models - Experience working in the AV industry - PhD in a quantitative field The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $170,000 - $216,000 USD
Software Engineer, Machine Learning Tooling
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Waymo's Compute Team is tasked with a critical and exciting mission: We deliver the compute platform responsible for running the fully autonomous vehicle’s software stack. To achieve our mission, we architect and create high-performance custom silicon; we develop system-level compute architectures that push the boundaries of performance, power, and latency; and we collaborate closely with many other teammates to ensure we design and optimize hardware and software for maximum performance. We are a multidisciplinary team seeking curious and talented teammates to work on one of the world’s highest performance automotive compute platforms. This role follows a hybrid work schedule, and you will report to the Tech Lead Manager of the Machine Learning Performance team. You will: - Build infrastructure and tooling to monitor and diagnose ML model compatibility and performance issues during other ML software development - Partner and empower ML engineers to optimize the performance of their model on through set of tooling and capabilities needed for rapid iteration - Build and sustain a database of ML model performance and other metrics. Ensure a consistent user experience for internal customers, enabling them to easily query data, debug, bisect, and track releases You have: - Bachelors in Computer Science or Electrical Engineering - 3 years of experience in software development and with data structures/algorithms - 1 year of experience in data visualization tools We prefer: - Experience in relational and non-relational databases, normalization, data governance, data quality - Experience developing accessible technologies. - Experience building infrastructure for models, diagnosis failures and tooling The expected base salary range for this full-time position is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $2,600,000 - $3,150,000 TWD
Senior Software Engineer, Eval Authoring APIs
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Team and Responsibilities The Waymo Driver is performing well in more and more cities, with our scale rapidly accelerating. Our team's job is to ensure that we can continue to evaluate safety and service quality across new cities and countries, each with their unique challenges. The Eval Authoring APIs team's mission is to establish the foundational API and tooling required to support the eval development lifecycle, encompassing creation, validation, testing, and publishing. We are seeking an experienced, technically hands-on Senior Software Engineer to design and implement these core authoring APIs. In this hybrid role, you will report to the Sr. Staff Manager. You will: - Drive the technical architecture and implementation of core services that enable evaluation engineers to author, manage, and execute evaluation workflows at scale. - Collaborate cross-functionally with Eval developers, sim and analysis infra teams to translate ambiguous requirements into clean, well-documented, and easy-to-use API contracts and engineering deliverables. - Ensure the authoring APIs are representative of real-world evaluation complexity, computationally efficient, and highly reliable. - Mentor junior engineers and champion software development best practices within the team. You have: - Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience. - 5+ years of hands-on experience in software engineering, focused on backend systems or APIs. - Extensive experience building scalable, distributed systems and developer-facing APIs. - Proven track record of technical contributions, owning large features from design to deployment. - Expertise in systems design and data modeling for high-throughput, low-latency applications. - Strong proficiency in C++ or Python. - Exceptional communication and collaboration skills, with experience working with cross-functional partners. We prefer: - Experience designing API-centric systems for internal developer platforms or tools. - Advanced degree (Master's) in Computer Science or a related technical field. - Familiarity with the software development lifecycle for evaluation or machine learning systems. - A passion for safety-critical systems and the desire to build robust developer experiences. hybrid The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $213,000 - $263,000 USD
Program Manager, Regulatory Reporting
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Software Quality Operations (SWQOps) team is at the heart of ensuring the safety, reliability, and quality of the Waymo Driver. Our mission is to build an adaptable and scalable operation, increasingly powered by AI, to deliver the crucial insights necessary to confidently deploy and grow Waymo's autonomous vehicle service. Why This Team is Essential to Waymo's Success: Waymo is undergoing unprecedented growth, rapidly expanding into new cities (targeting ~20 new cities by EOY 2026) and launching new vehicle platforms. SWQ Ops plays a critical role in this expansion, making it possible to scale safely and efficiently. The Regulatory Reporting Operations team within SWQ Ops owns the scaled delivery of datasets and methodologies used to evaluate events of regulatory interest and ensure reporting accuracy as Waymo continues to scale. We are on the front lines of: - De-risking New Deployments: Through meticulous triage of driving and simulated events, issue discovery, and continuous field monitoring, SWQ Ops provides early warnings and critical insights. This "early intervention in RO issue detection" ensures operational resilience and safety, particularly in new and complex environments, which is critical as Waymo enters multiple new cities and ramps up platforms like Ojai. - Enabling International RO & Market Expansion: Our team is deeply integrated into every stage of Waymo's market entry framework, from initial city evaluation (OK2Plan) to scaling operations (OK2Scale). We provide the necessary data analysis, policy development, and quality assurance to unblock critical milestones, preventing slowdowns in market expansion velocity. - Data Flywheel: Supporting the development of a single, automated, end-to-end machine learning flywheel for the entire Waymo Driver. A successful flywheel will be the core engine for scaling our technology, enabling faster international expansion, quicker remediation of driving issues, and a significant reduction in the engineering effort required to maintain and improve the driver. - Driving Engineering Velocity: By handling the vital work of performance evaluation, issue deep-dives, and data set curation, SWQOps collaborates heavily and allows Waymo's Engineering, SysEng, Simulation, and Data Science teams to focus on their core tasks of developing and improving the Waymo Driver. - Workflow Incubation & Development: Incubating high-impact workflows and ensuring readiness for automation and long-term operational excellence. You will: - Drive outcomes for large and complex technical operations programs that span multiple organizations. Develop and drive execution on strategic roadmaps, own forecasting and resource planning. - Partner with the Regulatory Compliance team to operationalize reporting requirements and be responsible for standing up new workflows and scaling existing workflows to support US and International expansions. - Define program / workflow KPIs and SLAs. Drive high-quality outcomes through deployments with a global vendor workforce. - Drive workflow transformation efforts to meet evolving business needs. Partner with Engineering to design, test, and deploy cutting-edge Machine Learning (ML) and Generative AI (Gen-AI) models and tools to drive step-change improvements in issue discovery & detection, triage efficiency, and quality assurance. - Communicate overall program status, risks and current priorities to executive stakeholders. Drive strategic decisions making across functions. - Mentor a high-performing team of Technical Specialists, fostering a culture of "quality-first" in a high-velocity environment. You have: - Bachelor's degree in technical, legal or business discipline - 10+ years of experience managing complex, tech-enabled operations and experience working across cross-functional partners (Legal, Product, Engineering, Data Science, Systems Engineering) to drive outcomes - 5+ years of people management experience - Experience in Regulatory Compliance, Vehicle Qualification, or similar domains, and ability to assess and operationalize legal reporting requirements - Proven ability to manage complex technical operations programs, including structuring project plans, identifying dependencies, and driving execution - Ability to thrive in a high ambiguity, dynamic environment We prefer: - Experience working with offshore teams / multiple local operations hubs - Experience within A / V space - Increased competency in supporting all phases of the machine learning development lifecycle, from data preparation and training to validation, deployment, and continuous monitoring - Experience with Lean / Six Sigma process improvement methodologies ((Remote jobs only - Please note that Waymo may not be able to employ remotely in all locations. Please speak with your recruiter about your preferred location for remote work when you begin the interview process.)) The expected base salary range for this full-time position is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $190,000 - $234,000 USD
Program Manager, New Markets & Platforms
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. The Software Quality Operations (SWQ Ops) team is at the heart of ensuring the safety, reliability, and quality of the Waymo Driver. Our mission is to build an adaptable and scalable operation, increasingly powered by AI, to deliver the crucial insights necessary to confidently deploy and grow Waymo's autonomous vehicle service. This role follows a hybrid work schedule and reports to a SWQ Ops Triage Program Manager Team Lead. This role will lead a team of 5 and requires prior leadership experience . Waymo is undergoing unprecedented growth, rapidly expanding into new cities and launching new vehicle platforms. SWQOps plays a critical role in this expansion, making it possible to scale safely and efficiently. We are on the front lines of: - De-risking New Deployments: Through meticulous triage of driving events, issue discovery, and continuous field monitoring, SWQOps provides early warnings and critical insights. This "early intervention in RO issue detection" ensures operational resilience and safety, particularly in new and complex environments, which is critical as Waymo enters multiple new cities and ramps up platforms like Ojai. - Enabling Market Expansion: Our team is deeply integrated into every stage of Waymo's market entry framework, from initial city evaluation (OK2Plan) to scaling operations (OK2Scale). We provide the necessary triage, data analysis, and quality assurance to unblock critical milestones, preventing slowdowns in market expansion velocity. - Driving Engineering Velocity: By handling the vital work of performance evaluation, issue deep-dives, and data set curation, SWQOps collaborates heavily and allows Waymo's Engineering, SysEng, Simulation, and Data Science teams to focus on their core tasks of developing and improving the Waymo Driver. - Data Flywheel: Supporting the development of a single, automated, end-to-end machine learning flywheel for the entire Waymo Driver. A successful flywheel will be the core engine for scaling our technology, enabling faster ODD expansion, quicker remediation of driving issues, and a significant reduction in the engineering effort required to maintain and improve the driver. You will: - Drive outcomes for programs that span multiple orgs. Responsible for long term forecasting and resource planning. - Be responsible for standing up new workflows and scaling existing workflows to support new market expansions. Translate complex human operations into scaled and reliable operations, bringing key insights to customers at highest quality. - Communicate overall program status, risks and current priorities to stakeholders. Drive tradeoff decisions making across functions. - Define program / workflow KPIs and SLAs. Drive high-quality outcomes through deployments with a global vendor workforce. - Drive workflow transformation efforts to meet evolving business needs. Partner with Engineering to design, test, and deploy cutting-edge Machine Learning (ML) and Generative AI (Gen-AI) models and tools to drive step-change improvements in issue discovery & detection, triage efficiency, and quality assurance. You have: - Bachelor's degree in technical or business discipline - 7+ years of experience in Technical Operations, Program Management, or Quality Engineering - Proven ability to manage complex technical programs, including structuring project plans, identifying dependencies, and driving execution using Agile methodologies (e.g., Scrum) - Increased competency in supporting all phases of the machine learning development lifecycle, from data preparation and training to validation, deployment, and continuous monitoring - Ability to thrive in a high ambiguity, dynamic environment. - People management experience We prefer: - Undergraduate in technical degree preferred - MBA or graduate operations experience preferred - Experience within A / V space - Experience with Lean / Six Sigma process improvement methodologies - Experience working with offshore teams / multiple local operations hub The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range $159,000 - $196,000 USD
Privacy Counsel, Germany
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. As part of Waymo's Legal team, you will work on the exciting legal issues surrounding our transformational autonomous driving technology and help drive our business lines forward from technology ideation through scaled commercial deployment. We partner with our public policy, safety, security and privacy experts to define transportation policy for the autonomous driving world to come, advising on regulatory changes that support and protect our users around the world. We collaborate with our engineering, product, strategy and operations teams to develop and protect our intellectual property portfolio and drive our corporate and commercial transactions. We ensure compliance with an increasingly complex and dynamic range of global regulations. And we anticipate, mitigate, and litigate high-profile and precedent-setting legal matters. In this hybrid role, you will report into our Managing Counsel. You will: - Serve as the primary, on-the-ground Privacy Counsel for Waymo's operations, product launches, and engineering initiatives across Germany and the broader EU, acting as a trusted advisor to ensure compliance with GDPR, ePrivacy, and local laws like the BDSG. - Advise on "Privacy by Design" and data minimization principles for European market entry, working directly with Product, Engineering, and AI/ML teams to design innovative privacy solutions for complex sensor data and model training. - Proactively build and maintain constructive relationships with EU Data Protection Authorities (DPAs), acting as the primary legal contact for regulatory inquiries, data protection impact assessments (DPIAs), audits, and ongoing local engagement. - Lead rapid, localized legal response for any EU data incidents, coordinating internal investigations and compliance reviews, managing strict notification timelines, and mitigating regulatory risk. - Partner with Waymo’s Public Policy, Trust & Safety, and Regulatory Affairs teams to monitor, review, and help shape emerging European privacy legislation, developing advocacy strategies to influence policy changes that support responsible innovation. You have: - A Juris Doctor (or equivalent law degree) and active qualification to practice law in Germany (e.g., Volljurist) or another relevant EU jurisdiction. - 7+ years of legal experience with significant expertise in European privacy, data protection, and regulatory compliance, preferably in-house at a global technology company. - Deep, practical expertise in the General Data Protection Regulation (GDPR) and German national data protection laws (BDSG), with a track record of operationalizing these frameworks for complex data flows. - Direct experience engaging with European Data Protection Authorities (DPAs) and working with government or regulatory bodies to navigate rulemaking processes and compliance readiness. - Experience advising on cross-border data transfers, international data governance, and translating strict legal requirements into practical engineering specifications. - Professional fluency in both German and English, with exceptional ability to communicate legal risks clearly to leadership and technical teams in the face of ambiguity. We prefer: - Recognized European privacy certifications, such as CIPP/E, CIPM, or CIPT. - Prior in-house experience at a US-based multinational technology company, autonomous vehicle developer, or AI-focused enterprise navigating EU expansion. - Hands-on experience advising on the intersection of GDPR with emerging European technology and data regulations (e.g., the AI Act, Data Act), including experience providing counsel on proposed legislation. - Experience structuring and defending main establishment strategies (One-Stop-Shop) and data transfer frameworks for EU resident data. - Background in responding to privacy litigation, localized incident response, or managing comprehensive privacy compliance audits. - A technical background or strong fluency in data infrastructure, cloud computing, computer vision, or software engineering.
2027 Summer Intern, PhD, Vehicle Intent and Predic...
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states. Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right decision for every situation, and deliver people safely to their destinations. We think deeply and solve complex technical challenges in areas like robotics, perception, decision-making and deep learning, while collaborating with hardware and systems engineers. If you’re a software engineer or researcher who’s curious and passionate about Level 4 autonomous driving, we'd like to meet you. Waymo interns partner with leaders in the industry on projects that create impact to the company. We believe learning is a two-way street: applying your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship! You will: - Train & evaluate Loss of Control model to evaluate quality impact of your changes. - Leverage existing learned models to derive signal on data quality. - Design & implement measures of effectiveness of said signals. - Develop or augment data pipelines to annotate synthetic training data with said signals. You have: - Currently enrolled in a PhD program. - ML coding in Python (e.g JAX or Pytorch). - Strong knowledge of foundational statistics & math. - Familiarity with neural networks. We prefer: - Familiarity with C++, especially in the context of data processing pipelines. - Prior experience with robotics or prediction problems. Note: This will be a hybrid onsite internship position. We will accept resumes on a rolling basis until the role is filled. To be in consideration for multiple roles, you will need to apply to each one individually - please apply to the top 3 roles you are interested in. The expected hourly rate for this full-time position is listed below. Interns are also eligible to participate in the Company’s generous benefits programs, subject to eligibility requirements. Hourly PhD Pay $85 - $85 USD
Get tailored job alerts, not another account to manage
Start with your email. We’ll send the newest roles for this site each day; unsubscribe in one click.
Coming soon: automatic applications. You’ll be able to define your criteria and let Jobs in AI apply to matching roles. This is a preview only—applications are not automated today.