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OpenAI

M&A Finance Integration Lead

Hybrid · San Francisco, CA

This hybrid role accepts applicants from: United States.

Apply on the employer's siteOriginal listingJSON

PeopleSeek Talent does not submit applications. The button opens the employer's own page; this listing was verified 5 hours ago.

PayUSD 216,000 – 240,000 per year
Work arrangementHybrid
Who can applyPeople in United States
LevelLead
TypeFull time
OccupationNot classified yet
LanguageNot stated
Posted23 September 2026
Last verified5 hours ago
StatusActive

About the role

About the Team

OpenAI Finance is responsible for ensuring the organization is set up for success in pursuit of its mission.

The Finance Program Management Office (FinPMO) is responsible for driving and scaling cross-functional finance programs and M&A integrations. FinPMO partners closely across Accounting, Strategic Finance, Corporate Development, Equity, Procurement, Treasury, Risk, and Legal to ensure financial change through M&A and other new business models is executed in a controlled, auditable, and operationally effective way.

FinPMO plays a critical role in managing M&A including financial deal diligence, finance operations, post-close integrations, reporting and controls. We help quarterback the M&A process to help ensure corporate integrations are executed cleanly, risks are managed proactively, and leadership has clear deal visibility. 

About the Role

As a M&A Finance Integration Lead, you will own and scale OpenAI’s finance integration model. This is a highly cross-functional, transactions driven role for someone who can bring structure to ambiguity, translate deal complexity into executable workplans, and drive successful M&A outcomes across multiple teams.

We’re looking for someone to be the central point of accountability to oversee finance workstreams across the full M&A lifecycle. You’ll ensure integrations are executed cleanly, financial risks are mitigated early, and our books, controls, and systems remain stable as OpenAI scales.

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:

  • Define and build standardized, scalable M&A finance integration frameworks.

  • Drive consistent execution across multiple, simultaneous M&A integrations.

  • Ensure timely, accurate M&A diligence including historical financials, revenue, equity, tax, and procurement.

  • Lead integration planning for deal close readiness across accounting, valuation, payroll, banking, entities, and controls.

  • Translate deal terms and integration strategy into actionable workplans, timelines, and dependencies.

  • Ensure on track deal execution accounting, operational integration, systems cutover, and reporting.

  • Proactively surface post-close deal integration risks and drive mitigation plans.

 

You might thrive in this role if you have:

  • 10+ years of experience across M&A, deal integration and finance transformation, ideally in an Investment Banking/PE backed environment and/or high-growth technology company.

  • Demonstrated experience leading multiple, concurrent M&A negotiations and deal integrations with complex cross-functional dependencies.

  • Strong understanding of deal accounting, controls and reporting in a fast changing environment.

  • Exceptional stakeholder management and executive communication skills.

  • A Bachelor’s degree in Finance, Business Administration, or a related field (CPA or MBA a plus).

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.

To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

OpenAI Global Applicant Privacy Policy

At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Listed via OpenAI · first seen 22 October 2026 · last verified 28 October 2026

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