Strategic Finance, B2B Product

The Strategic Finance team partners across OpenAI to turn company strategy into financial decisions, helping 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. We connect monetization and customer economics with compute demand, capacity, margin, and resource planning, partnering closely with Product, GTM, Strategic Deal Desk, Compute Finance, Capacity Planning, Data, Accounting, and other Finance teams.

We are hiring a Strategic Finance leader for B2B Product to build the 0→1 financial foundations and decision-making frameworks that will help OpenAI scale its B2B business sustainably. You will own high-impact work across B2B monetization, compute demand modeling, enterprise deal economics, contribution margin, and more.

This is a portfolio-wide individual contributor role spanning our API Platform and other B2B products. You will connect customer demand and commercial terms to revenue, compute consumption, and margin outcomes; influence some of our largest enterprise deals; and help leadership make sound growth investment, compute capacity, and resource allocation decisions.

This role is based in San Francisco, CA.

• Own an integrated view of B2B monetization and product economics across the API Platform and other B2B products – including pricing, packaging, channel and usage mix, discounts, credits, commitments, revenue, and customer profitability

• Build, maintain, and improve complex driver-based financial models that connect customer usage, product and model mix, pricing, discounting, credits, commitments, and contribution margin

• Build financial views for B2B compute demand and margin planning; identify risks and opportunities, explain key drivers, and recommend capacity and resourcing decisions that improve portfolio economics

• Evaluate some of OpenAI’s largest and most strategic enterprise deals at both the deal and broader portfolio levels – including commercial terms, discounts, credits, usage commitments, compute requirements, contribution margin, and other long-term financial implications

• Create decision frameworks, guardrails, and operating cadences for pricing, discounting, credits, enterprise commitments, and margin management; partner across Product, GTM, Strategic Deal Desk, Compute Finance, Capacity Planning, Data, Accounting, and Finance to operationalize

• Translate complex and messy data into sound, coherent, and data-driven recommendations, scenarios, forecasts, dashboards, and executive narratives; improve the B2B metrics and underlying systems and data that leaders use to manage B2B growth and financial performance

• 7+ years of experience in strategic finance, product or commercial finance, investment banking, private equity or venture capital, or another analytically rigorous role

• Direct ownership of strategic finance, product finance, commercial finance, pricing and monetization, or product P&Ls in a complex B2B business

• Exceptional first-principles financial modeling across usage, pricing, discounts, revenue, variable costs, unit economics, and contribution margin, with the ability to translate complex analysis into clear executive decisions

• Sound commercial judgment around pricing, discounting, credits, enterprise commitments, customer profitability, and the tradeoffs between growth and margin

• Experience influencing consequential enterprise deals, product decisions, resource allocations, or investment choices with clear, data-backed financial recommendations

• Comfort working through compute, capacity, and product-economics tradeoffs; experience with AI, cloud, infrastructure, usage-based, or other compute-intensive B2B business models is a plus

• A track record of deep cross-functional partnership across Product, GTM, Deal Desk, Data, and Accounting – including the ability to influence senior leaders when incentives or priorities conflict

• Excellent communication and executive storytelling, strong financial instincts, high attention to detail, and a roll-up-your-sleeves approach to independently turning ambiguous questions into action

• Fluency working with messy data, defining durable metrics, and building useful dashboards; SQL, analytics tooling, and practical use of AI to accelerate financial workflows are a plus

This is a unique opportunity to shape the financial trajectory of OpenAI’s B2B business – from the foundational models and operating mechanisms used to manage the portfolio to the economics of our largest enterprise partnerships.

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.

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. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

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