Job Overview
Location
San Francisco
Job Type
Full-time
Category
Data Science
Date Posted
May 28, 2026
Full Job Description
đź“‹ Description
- • As Manager of Data Science for Financial Engineering at OpenAI, you will lead the measurement, experimentation, and optimization strategy that powers the company’s monetization infrastructure, directly impacting revenue durability, international expansion, and customer experience.
- • You will own the FinEng Measurement Strategy by defining north-star revenue metrics, establishing guardrails for conversion and risk, and aligning product metrics with financial reporting in partnership with Finance.
- • You will lead and scale experimentation by building and overseeing the experimentation program for in-house checkout and subscription systems, defining staged rollouts, and raising the bar on causal rigor across monetization decisions.
- • You will build and lead the FinEng DS team by hiring, mentoring, and growing high-impact data scientists, setting technical direction for experimentation and causal inference, and creating operating rhythms that translate insights into shipping decisions.
- • You will drive global monetization optimization by leading analytics for international payment method expansion, FX strategy, and pricing localization, reducing involuntary churn, and developing elasticity frameworks that inform long-term revenue strategy.
- • You will build durable data infrastructure by partnering with FinEng Data Engineering to create source-of-truth datasets, establishing SLIs/SLOs and alerting, and ensuring analytics scales with product and geographic expansion.
- • The role is based in San Francisco with a hybrid model (3 days/week in office) and includes relocation support.
- • OpenAI is an AI research and deployment company dedicated to ensuring artificial intelligence benefits all of humanity, with a commitment to safety, inclusivity, and equal opportunity employment.
🎯 Requirements
- • 7+ years in data science, experimentation, or product analytics, including leadership experience
- • Experience leading monetization, payments, checkout, or subscription analytics
- • Deep fluency in SQL and Python, and strong causal inference instincts
- • A track record of building experimentation platforms or scaling testing programs
- • Experience managing or mentoring high-performing data scientists
- • Strong executive communication skills and ability to influence cross-functional leaders
🏖️ Benefits
- • Hybrid work model (3 days/week in office) with relocation support
- • Opportunity to work on high-leverage projects impacting global revenue and customer experience
- • Access to cutting-edge AI research and deployment environment at OpenAI
- • Commitment to equal opportunity employment and reasonable accommodations for applicants with disabilities
- • Background checks administered in accordance with applicable law, including fair chance ordinances
- • Access to OpenAI’s Global Applicant Privacy Policy and Affirmative Action and EEO Policy Statement
Skills & Technologies
Python
Rails
Data Science
Hybrid
About OpenAI, Inc.
OpenAI is a San Francisco-based artificial intelligence research and deployment company founded in 2015. It develops large-scale AI models such as GPT, DALL-E, and Codex, providing cloud APIs and consumer applications like ChatGPT. Originally established as a non-profit, it later created a capped-profit subsidiary to attract capital while maintaining its mission to ensure artificial general intelligence benefits all of humanity.
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