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, 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
- 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
About the Team
The Strategic Finance team partners across OpenAI to turn company strategy into financial decisions, help allocate resources, and steer the business toward its highest-impact long-term outcomes. Within Strategic Finance, the B2B Product Finance team owns the financial perspective on growth across OpenAI’s B2B portfolio.
About the Role
We are hiring a strategic finance partner to partner with Product and GTM leaders in incubating and launching new B2B Products. You will evaluate new product initiatives and commercial viability, help shape commercial strategy, develop forecasts and revenue targets, and build the 0→1 financial foundations and decision-making frameworks to scale these products.
Responsibilities
- Support strategic initiatives and new product launches, including but not limited to: early opportunity sizing, pricing, packaging, and business development deal structuring to enhance product profitability.
- Deep dive into frameworks and process improvements to increase our sophistication in analyzing, forecasting, and optimizing product contribution margins and user lifetime value.
- Establish and manage key metrics underpinning product revenue, gross margin performance, and other leading indicators, and regularly monitor, analyze, and report on these metrics to drive continuous improvement and operational excellence.
- Stay updated on market trends and competitive dynamics to refine financial strategies.
- Create high-quality executive and Board-facing presentations.
- Collaborate with Accounting and FP&A teams to evolve financial forecasting and reporting processes.
Requirements
- 8+ years of experience in investment banking, consulting, or buy-side investing coupled with operational experience at a fast-paced, scaling company.
- Direct ownership of strategic finance, product finance, commercial finance, pricing and monetization, or product P&Ls in a complex B2B business.
- A track record of deep cross-functional partnership across Product, GTM, Data Science and the ability to influence senior leaders when incentives or priorities conflict.
- 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.
- Familiarity with business models and metrics relevant to OpenAI, including contribution margin analysis.
- Enthusiasm for technology and artificial intelligence.
- Experience with SQL and AI fluency, including experience using tools such as Codex to automate workflows, build analytical tools, and improve the speed and quality of financial analysis.