Compensation Analyst, Equity & Executive Compensation
At a glance
Highlights
- Hybrid work model (3 days office)
- Relocation assistance offered
- Well-stocked kitchens with daily meals
Heads up
- onsite required 3 days per week
- no remote applications considered
Why this role might suit you
The role suits candidates with strong compensation and financial modeling expertise, offering a hybrid office environment, relocation support, and the chance to influence executive equity programs at a leading AI organization.
Skills
About the role
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.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. 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 https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241.
OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf
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.
Compensation
This HR & Recruiting role pays $234k-$260k/yr. Within typical range for hr & recruiting roles in United States.
Questions about this role
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