OpenAI
Technical Accounting Lead, Ads Revenue
San Francisco · Senior · Contract
Sponsorship not specifiedDetected 8 days ago
AccountingCadenceResearchLeadershipCommunication
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odds of building a lasting career here
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Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- The role will guide accounting for products, pricing, contracts, incentives, credits, refunds, makegoods, international expansion, and new go-to-market motions.
- Advertising is a critical and growing monetization vector for OpenAI, and this role will help shape the financial foundations that enable Ads to scale responsibly and transparently.
- This role can be based in San Francisco or New York City.
Responsibilities
- Lead technical accounting assessments for Ads products and commercial arrangements, including performance obligations, variable consideration, allocation, principal-versus-agent, collectibility, contract modifications, refunds, incentives, credits, makegoods, and revenue presentation.
- Own and continuously evolve Ads revenue accounting policies and operating guidance as product behavior, pricing, contracting, incentive programs, and billing models change.
- Own the operating cadence for incentive and makegood accounting, invoice readiness, accruals and reserves, settlements, reconciliations, GL tie-outs, flux analysis, reporting, and control evidence.
- Partner with Ads Product, Engineering, Data, Finance Engineering, Sales, Deal Desk, Legal, Tax, Billing, and Technical Accounting on launches, enterprise negotiations, and international expansion.
- Prepare concise technical memos and audit-ready support; align novel or material conclusions with Corporate Technical Accounting and external auditors.
- Track record building 0-to-1 accounting processes, governance, close mechanisms, reconciliations, and controls that scale.
- Translate accounting conclusions into clear requirements for product design, contracting, billing, data, estimates, close, reconciliations, controls, and reporting.
Requirements
- Experience with digital advertising, adtech, marketplaces, payments, usage-based services, or another high-volume transaction environment.
- You might thrive in this role if you have:
- Ability to turn technical conclusions into practical product, contract, billing, data, and operating requirements.
Nice to have
- Experience supporting global launches, multiple currencies, international contracting entities, intercompany considerations, or localized billing models.
- Experience applying AI or automation within Finance while maintaining review, validation, and control standards.
- Experience partnering closely with Product, Engineering, Data, or Finance systems teams.
- Background in public-company controllership, technical accounting, audit, or similarly rigorous control environments.
- We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products.
- For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf.
- return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment
- In addition, job duties require access to secure and protected information technology systems and related data security obligations.
Company info
- OpenAI Finance ensures the organization is positioned for long-term success as we pursue our mission.
- The Revenue team plays a critical role in enabling OpenAI to scale commercial offerings by overseeing billing operations, deal desk, revenue systems, revenue accounting, and controllership.
- We work cross-functionally with Product, Engineering, Go-To-Market, Tax, Legal, and Technical Accounting to support new monetization strategies, improve operational efficiency, and maintain financial integrity as the business grows.
This listing is sourced directly from OpenAI's careers page and normalized into a canonical job model.