Description
Compensation
The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this role is $234K – $260K, with generous equity, performance-related bonuses for eligible employees, and the following benefits:
- Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
- Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
- 401(k) retirement plan with employer match
- 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)
- Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
- 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)
- Mental health and wellness support
- Employer-paid basic life and disability coverage
- Annual learning and development stipend to fuel your professional growth
- Daily meals in our offices, and meal delivery credits as eligible
- Relocation support for eligible employees
- Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.
About the Team
OpenAI’s Strategic Finance organization provides financial insights and guidance to support the company’s long-term strategy and ambitious growth. The Applications Technology Strategic Finance team partners closely with Product to scale core offerings and bring new products to market.
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.
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.
- 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.