About the Team
OpenAI’s Equity Programs and Compensation teams design and support compensation frameworks that help attract, retain, and motivate exceptional talent as we pursue our mission of ensuring artificial general intelligence benefits all of humanity. Together, these teams build thoughtful, scalable programs across cash and equity compensation, grounded in strong governance and disciplined stewardship.
Partnering closely with Finance, Legal, and People leaders, the teams develop competitive compensation programs and equity frameworks that align our people with OpenAI’s long-term success.
About the Role
We are hiring a Compensation Analyst, Equity and Executive Compensation to join OpenAI’s People team. This individual contributor role sits at the intersection of compensation, analytics, and finance, supporting thoughtful pay decisions through rigorous modeling, benchmarking, reporting, and decision support, with a focus on equity and executive compensation programs.
You will own key cross-functional analytical projects that inform compensation design, pay recommendations, budgets and forecasts, grant sizing, equity usage, dilution, and stock-based compensation considerations. You will navigate ambiguous problems, build repeatable tools and processes, and translate complex, sensitive data into clear recommendations and executive-ready materials.
This role is ideal for someone with strong compensation fundamentals, analytical depth, sound judgment, and a collaborative approach to solving complex, sensitive problems.
This role reports to our Head of Equity Programs.
In this role you will:
- Support pay design for new-hire, refresh, promotion, recognition, retention, and executive programs through quantitative analysis and thoughtful recommendations.
- Build and maintain analytical models for compensation programs, including pay outcomes, equity grants, equity usage, dilution, stock-based compensation, budgets, and scenario planning.
- Drive key cross-functional compensation analytics projects from scoping through delivery, independently evaluating tradeoffs and aligning stakeholders on recommendations.
- Partner with Finance on budgeting, forecasting, and analysis of financial tradeoffs across compensation programs.
- Conduct market benchmarking and pay-design analyses, including market data reviews, pay positioning, and recommendation development.
- Prepare clear, decision-ready materials for senior leaders while maintaining rigorous data integrity and confidentiality.
- Collaborate with Total Rewards, HR Business Partners, Recruiting, and Equity Administration to support accurate execution and implementation of compensation programs.
You might thrive in this role if you have:
- 5+ years of experience in compensation, finance, people analytics, or a related analytical field.
- Strong financial modeling and analytical skills, including advanced Excel or Google Sheets capability and experience working with large, sensitive datasets.
- Experience evaluating compensation design, market data, budgets, forecasts, or compensation program outcomes and translating analysis into business decisions.
- Demonstrated ability to own complex, cross-functional projects, navigate ambiguity, influence stakeholders without formal authority, and develop repeatable solutions.
- Experience with equity compensation, executive compensation, or other complex compensation programs is preferred.
- Clear written and verbal communication skills, with the ability to explain quantitative findings and tradeoffs to cross-functional stakeholders.
- High integrity, ownership, and attention to detail when handling confidential compensation information.
Workplace & Location
This role is based in our San Francisco office and we aren’t considering remote applications at this time. We use a hybrid work model of 3 days in the office with optional work from home on Thursdays and Fridays. We also offer relocation assistance to new employees.
Our open-plan offices have height-adjustable desks, conference rooms, phone booths, well-stocked kitchens full of snacks and drinks, three in-house prepared meals daily, outdoor space for working and socializing, wellness rooms, private bike storage, and more.
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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