{"schemaVersion":"jobsearcher.job.v1","id":"6ff360f540c3829efbd4bd5a","url":"https://jobsearcher.com/jobs/6ff360f540c3829efbd4bd5a","canonicalUrl":"https://jobsearcher.com/jobs/6ff360f540c3829efbd4bd5a","title":"Data Scientist, FinEng","description":"About the Team\n\nOpenAI’s Financial Engineering (FinEng) team powers how revenue flows through our products—pricing & packaging, checkout, payments, subscriptions, and the financial infrastructure behind them.\n\nWe operate at the intersection of Product, Engineering, Risk, Finance, and Go-to-Market to ensure that paying for OpenAI products is seamless, reliable, scalable, and globally optimized. As OpenAI expands internationally and across product surfaces, FinEng plays a critical role in enabling durable, efficient revenue growth.\n\nAbout the Role\n\nAs Manager of Data Science for Financial Engineering, you will lead the measurement, experimentation, and optimization strategy that powers OpenAI’s monetization infrastructure.\n\nYou will define how we measure and improve checkout, payments, subscriptions, and pricing systems globally—balancing conversion, risk, cost, reliability, and user experience. You will build and lead a high-leverage team responsible for establishing source-of-truth metrics, scaling experimentation, and driving executive-level revenue insights.\n\nThis role is both strategic and deeply technical: you’ll shape the long-term financial data architecture while guiding day-to-day experimentation that directly impacts revenue and international scale.\n\nThis role is based in San Francisco, CA. We use a hybrid model (3 days/week in office) and offer relocation support.\n\nIn this role, you will\n\nOwn the FinEng Measurement Strategy\n\nDefine the north-star revenue and monetization metrics across checkout, payments, subscriptions, and pricing.\n\nEstablish guardrails across conversion, fraud/risk, payment latency, cost-to-serve, and reliability.\n\nPartner with Finance to ensure alignment between product metrics and financial reporting.\n\nLead and Scale Experimentation\n\nBuild and oversee the experimentation program for in-house checkout and subscription systems.\n\nDefine staged rollouts, guardrails, and offline incrementality methods when online testing is constrained.\n\nRaise the bar on causal rigor across monetization decisions.\n\nBuild and Lead the FinEng DS Team\n\nHire, mentor, and grow a team of high-impact data scientists.\n\nSet the technical direction for experimentation, causal inference, and monetization analytics.\n\nCreate operating rhythms that translate insights into shipping decisions.\n\nDrive Global Monetization Optimization\n\nLead analytics for international payment method expansion, FX strategy, and pricing localization.\n\nReduce involuntary churn through intelligent retry logic, targeted nudges, and payment optimization.\n\nDevelop elasticity frameworks and pricing models that inform packaging and long-term revenue strategy.\n\nBuild Durable Data Infrastructure\n\nPartner with FinEng Data Engineering to create source-of-truth datasets and operational visibility.\n\nEstablish SLIs/SLOs, alerting, and proactive monitoring across payment flows.\n\nEnsure analytics scales with product and geographic expansion.\n\nYou might thrive in this role if you have\n\n7+ years in data science, experimentation, or product analytics, including leadership experience\n\nExperience leading monetization, payments, checkout, or subscription analytics\n\nDeep fluency in SQL and Python, and strong causal inference instincts\n\nA track record of building experimentation platforms or scaling testing programs\n\nExperience managing or mentoring high-performing data scientists\n\nStrong executive communication skills and ability to influence cross-functional leaders\n\nYou could be an especially strong fit if you have\n\nPayments infrastructure or PSP experience (bank rails, disputes, fraud/risk systems)\n\nBackground in offline incrementality, uplift modeling, CUPED, or counterfactual evaluation\n\nExperience with global payment methods, FX strategy, and pricing optimization\n\nBuilt operational analytics systems (alerting, SLIs/SLOs, monitoring)\n\nPartnered closely with Finance or revenue accounting teams\n\nThis becomes one of the most leverage-heavy roles in the company because it directly impacts revenue durability, international expansion, and customer experience simultaneously.\n\nAbout OpenAI\n\nOpenAI 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.\n\nWe 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.\n\nFor additional information, please see\n\nOpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement\n\n.\n\nBackground 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 technology systems and related data security obligations.\n\nTo notify OpenAI that you believe this job posting is non-compliant, please submit a report through\n\nthis form\n\n. No response will be provided to inquiries unrelated to job posting compliance.\n\nWe are committed to providing reasonable accommodations to applicants with disabilities.\n\nOpenAI Global Applicant Privacy Policy\n\nAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.\n\nCompensation\n\n$293K – $515K + Offers Equity","company":"OpenAI","rawCompany":"openai","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-05-29T11:52:06.917Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Scientist, FinEng","description":"About the Team\n\nOpenAI’s Financial Engineering (FinEng) team powers how revenue flows through our products—pricing & packaging, checkout, payments, subscriptions, and the financial infrastructure behind them.\n\nWe operate at the intersection of Product, Engineering, Risk, Finance, and Go-to-Market to ensure that paying for OpenAI products is seamless, reliable, scalable, and globally optimized. As OpenAI expands internationally and across product surfaces, FinEng plays a critical role in enabling durable, efficient revenue growth.\n\nAbout the Role\n\nAs Manager of Data Science for Financial Engineering, you will lead the measurement, experimentation, and optimization strategy that powers OpenAI’s monetization infrastructure.\n\nYou will define how we measure and improve checkout, payments, subscriptions, and pricing systems globally—balancing conversion, risk, cost, reliability, and user experience. You will build and lead a high-leverage team responsible for establishing source-of-truth metrics, scaling experimentation, and driving executive-level revenue insights.\n\nThis role is both strategic and deeply technical: you’ll shape the long-term financial data architecture while guiding day-to-day experimentation that directly impacts revenue and international scale.\n\nThis role is based in San Francisco, CA. We use a hybrid model (3 days/week in office) and offer relocation support.\n\nIn this role, you will\n\nOwn the FinEng Measurement Strategy\n\nDefine the north-star revenue and monetization metrics across checkout, payments, subscriptions, and pricing.\n\nEstablish guardrails across conversion, fraud/risk, payment latency, cost-to-serve, and reliability.\n\nPartner with Finance to ensure alignment between product metrics and financial reporting.\n\nLead and Scale Experimentation\n\nBuild and oversee the experimentation program for in-house checkout and subscription systems.\n\nDefine staged rollouts, guardrails, and offline incrementality methods when online testing is constrained.\n\nRaise the bar on causal rigor across monetization decisions.\n\nBuild and Lead the FinEng DS Team\n\nHire, mentor, and grow a team of high-impact data scientists.\n\nSet the technical direction for experimentation, causal inference, and monetization analytics.\n\nCreate operating rhythms that translate insights into shipping decisions.\n\nDrive Global Monetization Optimization\n\nLead analytics for international payment method expansion, FX strategy, and pricing localization.\n\nReduce involuntary churn through intelligent retry logic, targeted nudges, and payment optimization.\n\nDevelop elasticity frameworks and pricing models that inform packaging and long-term revenue strategy.\n\nBuild Durable Data Infrastructure\n\nPartner with FinEng Data Engineering to create source-of-truth datasets and operational visibility.\n\nEstablish SLIs/SLOs, alerting, and proactive monitoring across payment flows.\n\nEnsure analytics scales with product and geographic expansion.\n\nYou might thrive in this role if you have\n\n7+ years in data science, experimentation, or product analytics, including leadership experience\n\nExperience leading monetization, payments, checkout, or subscription analytics\n\nDeep fluency in SQL and Python, and strong causal inference instincts\n\nA track record of building experimentation platforms or scaling testing programs\n\nExperience managing or mentoring high-performing data scientists\n\nStrong executive communication skills and ability to influence cross-functional leaders\n\nYou could be an especially strong fit if you have\n\nPayments infrastructure or PSP experience (bank rails, disputes, fraud/risk systems)\n\nBackground in offline incrementality, uplift modeling, CUPED, or counterfactual evaluation\n\nExperience with global payment methods, FX strategy, and pricing optimization\n\nBuilt operational analytics systems (alerting, SLIs/SLOs, monitoring)\n\nPartnered closely with Finance or revenue accounting teams\n\nThis becomes one of the most leverage-heavy roles in the company because it directly impacts revenue durability, international expansion, and customer experience simultaneously.\n\nAbout OpenAI\n\nOpenAI 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.\n\nWe 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.\n\nFor additional information, please see\n\nOpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement\n\n.\n\nBackground 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 technology systems and related data security obligations.\n\nTo notify OpenAI that you believe this job posting is non-compliant, please submit a report through\n\nthis form\n\n. No response will be provided to inquiries unrelated to job posting compliance.\n\nWe are committed to providing reasonable accommodations to applicants with disabilities.\n\nOpenAI Global Applicant Privacy Policy\n\nAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.\n\nCompensation\n\n$293K – $515K + Offers Equity","datePosted":"2026-05-29T11:52:06.917Z","dateModified":"2026-05-29T11:52:06.917Z","hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6ff360f540c3829efbd4bd5a"},"url":"https://jobsearcher.com/jobs/6ff360f540c3829efbd4bd5a"}}