Strategic Finance, Partnerships

ABOUT THE TEAM

OpenAI’s Strategic Finance organization provides financial insights and guidance to support the company’s long-term strategy and ambitious growth. We partner across Product, Partnerships, Engineering, and GTM to allocate resources to the highest-impact opportunities while protecting sustainable unit economics.

The Applications Technology Strategic Finance team partners closely with Product to scale core offerings and bring new products to market. We lead revenue forecasting and performance management across the product portfolio, including economic margins, pricing, and partnership deal pricing and structuring.

ABOUT THE ROLE

We are hiring on our Strategic Finance Partnerships team to drive strategic decision-making across OpenAI’s growth and media partnership portfolio, focused on our consumer business. This role will be a critical finance partner to Partnerships deal leads and Product owners, responsible for evaluating, pricing, and structuring partnerships, and translating partner opportunity into decision-ready economics and performance management.

The role will be hands-on in deal evaluation, negotiation support, and portfolio oversight. You will shape how OpenAI approaches partnership unit economics, measurement and incrementality, and how partnership performance is incorporated into forecasts and planning.

This role is based in San Francisco, CA, with a hybrid work model (3 days/week in-office). Relocation assistance is available.

IN THIS ROLE, YOU WILL

• Own financial evaluation for growth and media partnerships, including modeling revenue, margin, compute, and payback to support decision-making and negotiations.

• Develop clear economic frameworks and deal guardrails (pricing floors, rev-share structures, caps, minimum guarantees, performance-based terms) to protect long-term unit economics.

• Partner closely with Product and Partnerships to define and measure incrementality and ensure contract terms align with measurable outcomes.

• Lead partnership deal pricing and structuring from early-stage strategy through final term-sheet negotiations, including executive-ready recommendations and tradeoffs.

• Drive partnership portfolio performance management: establish core metrics, identify leading indicators, track variance to expectations, and surface risks and opportunities.

• Integrate partnership economics into revenue forecasting and planning cycles in partnership with the broader team.

• Identify recurring contract and measurement risks and establish internal governance and review mechanisms.

YOU MIGHT THRIVE IN THIS ROLE IF YOU HAVE

• 8+ years of experience in investment banking, consulting, or buy-side investing coupled with operational experience at a fast-paced, scaling company.

• A strong ability to critically evaluate opportunities and risks in financials.

• Expert modeling skills, including building detailed product P&Ls and operating models.

• The ability to distill complex financial data into actionable insights and effectively communicate with leadership.

• Excellent communication skills and the ability to craft compelling narratives using data.

• Attention to detail and a commitment to accuracy in financial reporting and analysis.

• Comfort operating in a player-coach capacity—providing mentorship and direction while remaining deeply involved in analytical work.

• Familiarity with business models and metrics relevant to OpenAI, including contribution margin analysis.

• Strong daily AI workflow habits, including using Codex to move faster on analysis, modeling, documentation, and operating processes.

• Enthusiasm for technology and artificial intelligence.

• Experience with SQL or a willingness to learn.

This is a unique opportunity to influence the financial trajectory of cutting-edge AI products while working at the intersection of strategy, finance, and technology. If you’re passionate about driving growth and optimizing product performance, we

Responsibilities

• Own financial evaluation for growth and media partnerships, including modeling revenue, margin, compute, and payback to support decision-making and negotiations
• Develop clear economic frameworks and deal guardrails (pricing floors, rev-share structures, caps, minimum guarantees, performance-based terms) to protect long-term unit economics
• Partner closely with Product and Partnerships to define and measure incrementality and ensure contract terms align with measurable outcomes
• Lead partnership deal pricing and structuring from early-stage strategy through final term-sheet negotiations, including executive-ready recommendations and tradeoffs
• Drive partnership portfolio performance management: establish core metrics, identify leading indicators, track variance to expectations, and surface risks and opportunities
• Integrate partnership economics into revenue forecasting and planning cycles in partnership with the broader team
• Identify recurring contract and measurement risks and establish internal governance and review mechanisms

Requirements

• 8+ years of experience in investment banking, consulting, or buy-side investing coupled with operational experience at a fast-paced, scaling company
• Strong ability to critically evaluate opportunities and risks in financials
• Expert modeling skills, including building detailed product P&Ls and operating models
• Ability to distill complex financial data into actionable insights and effectively communicate with leadership
• Excellent communication skills and ability to craft compelling narratives using data
• Attention to detail and commitment to accuracy in financial reporting and analysis
• Comfort operating in a player-coach capacity—providing mentorship and direction while remaining deeply involved in analytical work
• Familiarity with business models and metrics relevant to OpenAI, including contribution margin analysis
• Enthusiasm for technology and artificial intelligence

Preferred Qualifications

• Strong daily AI workflow habits, including using Codex to move faster on analysis, modeling, documentation, and operating processes
• Experience with SQL or willingness to learn

• Based in San Francisco, CA with hybrid work model (3 days/week in-office)
• Relocation assistance available