Strategic Finance, Partnerships

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 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.