Strategic Finance, Product

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 Marketing 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 a senior strategic finance thought partner to help shape ChatGPT Business, OpenAI’s self-serve product for teams adopting AI at work. You will partner closely with Product, Engineering, Growth, Data Science, and Marketing leadership to set strategy, evaluate growth bets, guide pricing and packaging decisions, and build the financial rigor that allows the business to scale. You will translate product usage, customer behavior, unit economics, and market signals into decisions on what we build, how we launch, how we monetize, and where we invest. You will help define the growth model for a frontier AI product while working at the intersection of strategy, finance, and technology. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will: - Serve as a strategic finance partner to ChatGPT Business product teams, helping shape product strategy, growth priorities, pricing decisions, and investment tradeoffs. - Own the forecast for ChatGPT Business self-serve, including revenue, usage, margin, unit economics, leading indicators, and the operating metrics that show where the product is gaining or losing traction. - Partner with Product, Engineering, Growth, Data Science, and Marketing leaders on product-led growth initiatives, pricing and packaging decisions, experiments, channel strategy, and new product launches. - Translate product usage, customer behavior, funnel dynamics, and financial data into clear recommendations that influence both long-term strategy and day-to-day product decisions. - Build planning and performance systems that help the team move faster, including forecast methodology, KPI architecture, decision frameworks, executive narratives, and repeatable reporting. - Stay up to date on AI, SaaS, product-led growth, pricing, and competitive dynamics to inform where OpenAI should invest and how the business model should evolve. - Prepare and deliver high-quality executive and Board materials that connect business performance, product strategy, key risks, and strategic recommendations. You might thrive in this role if you have: - 8+ years of experience in investment banking, consulting, strategic finance, product finance, growth finance, or buy-side investing, coupled with operating experience at a fast-paced, scaling technology company. - Experience supporting product teams on growth, pricing, packaging, monetization, or product strategy decisions, ideally in product-led growth, growth-stage SaaS, consumer/subscription products, or consumption-based business models. - Exceptional analytical and financial modeling skills, including building product P&Ls, operating models, cohort and funnel analyses, pricing models, and unit economics that connect strategy to growth decisions. - Strong business judgment and product instincts, with the ability to evaluate opportunities, tradeoffs, and risks in a fast-moving product environment. - The ability to translate complex product, usage, customer, and financial data into clear recommendations for Product teams and senior leadership. - High attention to detail and a commitment to accuracy, paired with comfort making decisions when data is imperfect and the business is evolving. - Familiarity with product-led growth, growth experimentation, pricing and packaging, consumption-based pricing, or usage-based business models, and curiosity about how AI products change those playbooks. - A hands-on, roll-up-your-sleeves mentality and comfort operating in a fast-moving, ambiguous environment. - Enthusiasm for AI deployment, OpenAI’s mission, and the opportunity to shape how businesses adopt frontier AI. - Experience with SQL and comfort working directly with product analytics datasets. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. 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