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For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p>\n<p>Annual Salary: $320,000-$405,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_18013f3c-904","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5191638008","x-work-arrangement":"remote-hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$320,000-$405,000 USD","x-skills-required":["Hyperscale datacenter environments","Cluster deployment","Large-scale IT integration","Infrastructure programs","AI","HPC","High-density compute 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For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p>\n<p>Annual Salary: $320,000-$405,000 USD</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_60082588-bf0","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://www.anthropic.com/","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5191638008","x-work-arrangement":"remote-hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$320,000-$405,000 USD","x-skills-required":["Hyperscale datacenter environments","Cluster deployment","Large-scale IT integration","Infrastructure programs","AI","HPC","High-density compute clusters","Interconnect reach","Adjacency","Power density","Thermal limits","IT hardware","Facility infrastructure","Interface standards","Cluster topology","Portfolio strategy","Execution discipline","Systems thinking","Communication","Technical audiences","Executive audiences","Decision-making","Trade-offs","Leadership","Bachelor's degree","Electrical Engineering","Mechanical Engineering","Computer Engineering","Practical experience"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:36:06.517Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote-Friendly, United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Hyperscale datacenter environments, Cluster deployment, Large-scale IT integration, Infrastructure programs, AI, HPC, High-density compute clusters, Interconnect reach, Adjacency, Power density, Thermal limits, IT hardware, Facility infrastructure, Interface standards, Cluster topology, Portfolio strategy, Execution discipline, Systems thinking, Communication, Technical audiences, Executive audiences, Decision-making, Trade-offs, Leadership, Bachelor's degree, Electrical Engineering, Mechanical Engineering, Computer Engineering, Practical experience","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":320000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b23588cd-f8e"},"title":"Business Lead, Life Sciences","description":"<p><strong>Compensation</strong></p>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>About the team</strong></p>\n<p>The Business, Life Sciences team at OpenAI tackles domains where frontier AI can transform science and industry, requiring new approaches that cut across GTM, Research, and Product. Our charter is to prove out high-leverage applications, build the right partnerships, and turn early experiments into sustainable operating models. In life sciences, we work with Research to extend scaling laws into biology and chemistry, aligning scientific progress with real-world deployment.</p>\n<p><strong>About the role</strong></p>\n<p>We are hiring a Business Lead to own account and market strategy for a portfolio of strategic life sciences organizations and research institutions. You will translate their highest-leverage priorities and constraints into a multi-year partnership strategy, a joint roadmap, and clear governance.</p>\n<p>You will orchestrate the internal deal and deployment team to deliver outcomes in regulated environments. We measure success through delivery of customer outcomes, closed-won revenue, and long-term expansion.</p>\n<p>This role is based in San Francisco, New York, or London. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Travel up to 30% is required.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Own account and market strategy for a portfolio of life sciences partners, including segmentation, account plans, executive mapping, multi-threading, and a clear plan to expand usage over time.</li>\n</ul>\n<ul>\n<li>Build and maintain credibility with customers by translating scientific priorities and risk constraints into joint roadmaps, success metrics, and delivery plans teams can champion and execute.</li>\n</ul>\n<ul>\n<li>Drive revenue by leading complex deal cycles from positioning through close, including commercial structuring, pricing, and contracting in close partnership with Research, FDE, Legal, Security/GRC, and Finance.</li>\n</ul>\n<ul>\n<li>Run partnership governance that sustains outcomes and expansion, including exec steering, QBRs, escalation paths, and crisp renewal and expansion plans.</li>\n</ul>\n<ul>\n<li>Orchestrate cross-functional teams across Product, Engineering, Research, Security/GRC, and GTM to remove blockers, align decision-makers, and deliver partner outcomes on schedule.</li>\n</ul>\n<ul>\n<li>Identify and prioritize opportunities where scientific impact and partner value align, and manage trade-offs when priorities conflict across near-term delivery and longer-term platform bets.</li>\n</ul>\n<ul>\n<li>Set and defend launch expectations in regulated contexts, ensuring inspection readiness, evidence standards, and reviewer trust under delivery pressure.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Bring 8+ years of experience leading enterprise GTM, strategic partnerships, or commercialization for technical products in regulated life sciences (biotech, pharma, CROs, clinical research, or scientific software), with a track record of closing and expanding multi-year deals, including executive-level buyer mapping and multi-threaded deals.</li>\n</ul>\n<ul>\n<li>Have led commercialization of technical products where adoption, governance, and executive trust determined expansion, and can translate deployment evidence into a clear business case for R&amp;D leadership.</li>\n</ul>\n<ul>\n<li>Build trust with clinical, regulatory, privacy, and safety stakeholders by aligning contract terms, controls, and delivery plans to risk posture and inspection readiness.</li>\n</ul>\n<ul>\n<li>Communicate clearly across scientific, technical, and executive audiences, adapting language to drive alignment, decisions, and delivery.</li>\n</ul>\n<ul>\n<li>Build alignment across researchers, builders, and commercial teams, internally and with partners across industry, startups, and academia.</li>\n</ul>\n<ul>\n<li>Apply systems thinking with high execution standards, turning failures or escalations in regulated environments into improved operating standards and stronger partner governance.</li>\n</ul>\n<ul>\n<li>Hold a strong thesis on AI x Science and place credible market bets on which biology and chemistry problems to pursue, then turn them into focused account plans and repeatable motions.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</p>\n<p>We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.</p>\n<p>For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).</p>\n<p>Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information techno</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b23588cd-f8e","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/875b6559-55f0-4cea-ad62-0063d0cb0b73","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$390K • Offers Equity","x-skills-required":["8+ years of experience leading enterprise GTM, strategic partnerships, or commercialization for technical products in regulated life sciences","Commercialization of technical products where adoption, governance, and executive trust determined expansion","Building trust with clinical, regulatory, privacy, and safety stakeholders","Communicating clearly across scientific, technical, and executive audiences","Building alignment across researchers, builders, and commercial teams"],"x-skills-preferred":["AI x Science","Systems thinking","Regulated environments","Partnership governance","Cross-functional teams"],"datePosted":"2026-03-09T20:47:11.216Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"8+ years of experience leading enterprise GTM, strategic partnerships, or commercialization for technical products in regulated life sciences, Commercialization of technical products where adoption, governance, and executive trust determined expansion, Building trust with clinical, regulatory, privacy, and safety stakeholders, Communicating clearly across scientific, technical, and executive audiences, Building alignment across researchers, builders, and commercial teams, AI x Science, Systems thinking, Regulated environments, Partnership governance, Cross-functional teams","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":390000,"maxValue":390000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b83a3282-d15"},"title":"Platform Engineer, Forward Deployed Engineering (FDE) -SF","description":"<p><strong>Compensation</strong></p>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>About the team</strong></p>\n<p>OpenAI’s Forward Deployed Engineering (FDE) org sits at the intersection of product, engineering, research, and go-to-market. We take frontier platform capabilities into the real world with design partners, turning raw customer signal into shipped software, repeatable patterns, and durable products.</p>\n<p><strong>About the role</strong></p>\n<p>Platform Engineer is a role within Forward Deployed Engineering (FDE) for strong software and ML engineers who want to build new platform capabilities from scratch, grounded in real customer deployments.</p>\n<p>You will partner with customer-tagged FDEs who are driving delivery and customer outcomes, and embed where you can provide the highest leverage. In practice that means working in the trenches on architecture, product shaping, refactoring, hardening, and reusable abstractions, while preserving the pod’s ownership of customer understanding and day-to-day execution. You will also collaborate closely with our B2B Platform Team and other long-term owners to align early on what should generalize, what should remain customer-specific, and what “ready for handoff” looks like.</p>\n<p><strong>This role does not require travel. It is based in San Francisco or New York. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel is optional-by-project and typically &lt;0%, with occasional spikes for key embeds or launches.</strong></p>\n<p><strong>In this role you will</strong></p>\n<ul>\n<li><strong>Provide hands-on leverage to customer pods:</strong> embed with customer-tagged FDE teams to support generalization, contributing directly in architecture, product shaping, refactoring, and implementation.</li>\n</ul>\n<ul>\n<li><strong>Turn repeated signals into platform bets:</strong> translate cross-customer patterns into crisp hypotheses with clear success criteria, scope, and a validation plan that fits real account constraints.</li>\n</ul>\n<ul>\n<li><strong>Raise the engineering bar through tooling and mentorship:</strong> set org-wide quality norms through high-signal code review and pairing, and build lightweight developer tooling that makes good architecture, readability, and correctness the default across FDE.</li>\n</ul>\n<ul>\n<li><strong>Collaborate as part of cross-functional platform teams:</strong> partner closely with B2B Product, customer-tagged FDEs, ops, and business partners to bring the right products and platform capabilities to market.</li>\n</ul>\n<ul>\n<li><strong>Lead complex platform capabilities end-to-end when needed:</strong> for high-leverage primitives like our Context Platform, act as DRI from requirements through implementation, make key tradeoffs explicit, and pull in customer pods early to keep the work grounded in real deployments.</li>\n</ul>\n<p><strong>You might thrive in this role if you</strong></p>\n<ul>\n<li>Bring <strong>5+ years of software engineering or ML engineering experience</strong> with a track record of <strong>shipping 0→1 capabilities</strong> that other engineers or customers depend on. Experience in high-ambiguity, fast-iteration environments (startups or product-centric teams) is a plus.</li>\n</ul>\n<ul>\n<li>Have owned <strong>customer-adjacent technical work</strong> end-to-end, from scoping and hypothesis-setting through production adoption, and improved outcomes through structured iteration (instrumentation, evals, error analysis, and tightening success criteria over time).</li>\n</ul>\n<ul>\n<li>Have built or operated systems where <strong>reliability, security, and governance</strong> materially shaped design (permissions/RBAC, auditability, data access boundaries, rollout safety, observability, and incident-driven hardening).</li>\n</ul>\n<ul>\n<li>Communicate clearly across <strong>engineering, product, go-to-market, and executive audiences</strong>, simplifying complex ideas and translating technical tradeoffs into adoption impact, sequencing decisions, and measurable outcomes. You can credibly “pitch” a platform bet in a customer conversation.</li>\n</ul>\n<ul>\n<li>Default to systems thinking: you turn ambiguous feedback, failures, and escalations into durable <strong>product requirements and reusable platform capabilities</strong>, not one-off fixes or bespoke delivery work.</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</p>\n<p><strong>Experience</strong></p>\n<p>5+ years of software engineering or ML engineering experience</p>\n<p><strong>Employment Type</strong></p>\n<p>Full-time</p>\n<p><strong>Workplace Type</strong></p>\n<p>Hybrid</p>\n<p><strong>Category</strong></p>\n<p>Engineering</p>\n<p><strong>Industry</strong></p>\n<p>Technology</p>\n<p><strong>Salary Range</strong></p>\n<p>$230K – $385K</p>\n<p><strong>Required Skills</strong></p>\n<ul>\n<li>Software engineering</li>\n<li>ML engineering</li>\n<li>Architecture</li>\n<li>Product shaping</li>\n<li>Refactoring</li>\n<li>Hardening</li>\n<li>Reusable abstractions</li>\n<li>Systems thinking</li>\n</ul>\n<p><strong>Preferred Skills</strong></p>\n<ul>\n<li>Experience in high-ambiguity, fast-iteration environments</li>\n<li>Customer-adjacent technical work</li>\n<li>Reliability, security, and governance</li>\n<li>Communication across engineering, product, go-to-market, and executive audiences</li>\n</ul>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b83a3282-d15","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/059ac93e-3fc9-42e9-a4f4-367c0fd5de14","x-work-arrangement":"Hybrid","x-experience-level":"senior","x-job-type":"Full time","x-salary-range":"$230K – $385K","x-skills-required":["Software engineering","ML engineering","Architecture","Product shaping","Refactoring","Hardening","Reusable abstractions","Systems thinking"],"x-skills-preferred":["Experience in high-ambiguity, fast-iteration environments","Customer-adjacent technical work","Reliability, security, and governance","Communication across engineering, product, go-to-market, and executive audiences"],"datePosted":"2026-03-08T22:16:37.130Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Software engineering, ML engineering, Architecture, Product shaping, Refactoring, Hardening, Reusable abstractions, Systems thinking, Experience in high-ambiguity, fast-iteration environments, Customer-adjacent technical work, Reliability, security, and governance, Communication across engineering, product, go-to-market, and executive audiences","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":230000,"maxValue":385000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_e165445a-72f"},"title":"Product Policy - Data Scientist","description":"<p><strong>Job Posting</strong></p>\n<p><strong>Product Policy - Data Scientist</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Location Type</strong></p>\n<p>Hybrid</p>\n<p><strong>Department</strong></p>\n<p>Product Policy</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$293K – $385K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p>More details about our benefits are available to candidates during the hiring process.</p>\n<p>This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.</p>\n<p><strong><strong>About the Team</strong></strong></p>\n<p>The Product Research team partners closely with Product Management, Design, Engineering, and Policy to ensure OpenAI builds products that are useful, usable, and responsible. We help teams understand user needs, evaluate product concepts, and validate experiences across the full product lifecycle—from early exploration through launch and iteration.</p>\n<p>Our work directly informs how OpenAI’s products evolve, ensuring that we deliver experiences that meet real-world needs while upholding OpenAI’s mission to ensure AI benefits all of humanity.</p>\n<p><strong><strong>About the role</strong></strong></p>\n<p>As a <strong>Product Policy - Data Scientist</strong>, you will design and lead high-impact research that shapes OpenAI’s product strategy and user experience. You’ll work across multiple product teams to generate insights that influence product decisions, inform design direction, and improve how people interact with AI.</p>\n<p>You will own research from start to finish—partnering with stakeholders to define the right questions, choosing the best methods, executing studies, and turning findings into clear, actionable recommendations. This role requires someone who can balance rigor with speed, bring clarity to ambiguity, and confidently influence cross-functional partners at all levels.</p>\n<p>This role is based in the <strong>San Francisco Bay Area</strong> and requires being in the office <strong>three days per week</strong> to collaborate closely with cross-functional partners.</p>\n<p><strong><strong>We&#39;re looking for people who:</strong></strong></p>\n<ul>\n<li>Partner with product managers, designers, and engineers to identify and prioritize research opportunities that improve product decisions and user experience</li>\n</ul>\n<ul>\n<li>Design and execute high-quality qualitative and quantitative research across all stages of product development, including foundational research, concept testing, prototyping, and usability testing</li>\n</ul>\n<ul>\n<li>Lead end-to-end research projects, from scoping and study design through recruitment, fieldwork, analysis, and reporting</li>\n</ul>\n<ul>\n<li>Translate complex research findings into clear, compelling insights that inform product strategy and design direction</li>\n</ul>\n<ul>\n<li>Present findings and recommendations to senior leadership and key stakeholders</li>\n</ul>\n<ul>\n<li>Balance rigor and speed by adapting methods to timelines while maintaining high standards for data quality and validity</li>\n</ul>\n<p><strong><strong>In this role, you will:</strong></strong></p>\n<ul>\n<li>7+ years of experience in user experience research, market research, or a related field</li>\n</ul>\n<ul>\n<li>Deep expertise in <strong>mixed-methods research</strong>, with strong qualitative skills and the ability to conduct and analyze quantitative studies at scale</li>\n</ul>\n<ul>\n<li>Proven experience leading research that has shaped product or design decisions</li>\n</ul>\n<ul>\n<li>Exceptional written and verbal communication skills, with the ability to influence across disciplines and levels</li>\n</ul>\n<ul>\n<li>Experience working with senior stakeholders and cross-functional teams</li>\n</ul>\n<p><strong><strong>You might thrive in this role if. you:</strong></strong></p>\n<ul>\n<li>Experience with advanced quantitative methods (e.g., MaxDiff, conjoint, segmentation)</li>\n</ul>\n<ul>\n<li>Experience working with executive audiences or large enterprise clients</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. 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