Compensation Operations Analyst

About the Team

OpenAI’s People team supports a complex, rapidly growing organization of researchers, engineers, and business teams. The Compensation function ensures accuracy, scalability, and operational excellence across all compensation tools, systems, and data flows.

About the Role

We’re hiring a Compensation Operations Analyst to build and run the systems, tools, and processes that power compensation at OpenAI. This role is deeply operational and technical: you will configure HRIS modules, manage compensation tools end-to-end, maintain pristine data quality, and ensure compensation cycles run flawlessly. You’ll partner closely with People Systems, Total Rewards, Finance, and vendors to keep our compensation infrastructure accurate, scalable, and audit-ready.

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:

• Own configuration and day-to-day operations of compensation tools and HRIS compensation modules.

• Manage annual and off-cycle compensation processes, ensuring data integrity, testing, quality assurance, and on-time execution.

• Build and maintain compensation datasets, dashboards, audits, and data flows across systems.

• Lead compensation vendor relationships, including implementation, troubleshooting, and data submissions.

• Diagnose and resolve system issues, identify root causes, and drive process and tooling improvements.

• Partner with People Systems and Engineering to enhance architecture, workflows, and automation.

• Ensure high data accuracy across compensation systems and proactively identify gaps, risks, or anomalies.

• Translate technical or complex compensation system issues into clear guidance for stakeholders.

You might thrive in this role if you:

• Have 5+ years of experience in compensation operations, HR operations/systems, or total rewards tooling in high-growth or technology environments.

• Have strong HRIS configuration experience, especially with compensation planning modules; Workday and Pave experience is preferred.

• Bring rigor and precision to data auditing, validation, and lifecycle management.

• Can manage and optimize tools at scale while navigating fast-moving environments.

• Communicate effectively across functions and are comfortable working with technical partners.

• Are action-oriented, organized, and reliable under tight deadlines.

• Have a strong ownership mindset and a bias toward simple, scalable systems.

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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