OpenAI
AI research and deployment
DataScientist,FinEng
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Scientist, FinEng at OpenAI. Skills: Data Science, Experimentation, Monetization Analytics. Own the FinEng Measurement Strategy. Define north-star revenue metrics”
Industry & Context.
causal inference instincts; causal rigor
What They're Looking For.
Must Have
7+ years in data science, experimentation, or product analytics, leadership experience, Experience leading monetization, payments, checkout, or subscription analytics, Deep fluency in SQL, Deep fluency in Python, causal inference instincts, A track record of building experimentation platforms or scaling testing programs, Experience managing or mentoring high-performing data scientists, executive communication skills, ability to influence cross-functional leaders
Nice to Have
Payments infrastructure or PSP experience, Background in offline incrementality, Background in uplift modeling, Background in CUPED, Background in counterfactual evaluation, Experience with global payment methods, Experience with FX strategy, Experience with pricing optimization, Built operational analytics systems, Partnered closely with Finance or revenue accounting teams
What You'll Do.
Own the FinEng Measurement Strategy
Define north-star revenue metrics
Lead and Scale Experimentation
Build and oversee experimentation program
Define staged rollouts
Raise the bar on causal rigor
Build and Lead the FinEng DS Team
Set technical direction
Create operating rhythms
Drive Global Monetization Optimization
Lead analytics for international expansion
Reduce involuntary churn
Develop elasticity frameworks
Build Durable Data Infrastructure
Partner with Data Engineering
Ensure analytics scales
How You'll Work.
Team & Collaboration
Partner with Finance; influence cross-functional leaders; Partner with FinEng Data Engineering
Communication Scope
executive communication skills
Full Job Description
About the Team OpenAI’s Financial Engineering (FinEng) team powers how revenue flows through our products—pricing & packaging, checkout, payments, subscriptions, and the financial infrastructure behind them. We 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. About the Role As Manager of Data Science for Financial Engineering, you will lead the measurement, experimentation, and optimization strategy that powers OpenAI’s monetization infrastructure. You 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. This 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. This role is based in San Francisco, CA. We use a hybrid model (3 days/week in office) and offer relocation support. In this role, you will Own the FinEng Measurement Strategy - Define the north-star revenue and monetization metrics across checkout, payments, subscriptions, and pricing. - Establish guardrails across conversion, fraud/risk, payment latency, cost-to-serve, and reliability. - Partner with Finance to ensure alignment between product metrics and financial reporting. Lead and Scale Experimentation - Build and oversee the experimentation program for in-house checkout and subscription systems. - Define staged rollouts, guardrails, and offline incrementality methods when online testing is constrained. - Raise
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