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OpenAI's People team is seeking a Compensation Operations Analyst to build and run the systems, tools, and processes that power compensation across the organization. This is a deeply operational and technical role focused on ensuring accuracy, scalability, and operational excellence in compensation infrastructure.
Key Responsibilities:
- 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 will work in a hybrid model (3 days in office per week) and partner closely with People Systems, Total Rewards, Finance, and external vendors to maintain audit-ready compensation infrastructure.
Requirements:
- 5+ years of experience in compensation operations, HRIS systems, or total rewards tooling in high-growth or technology environments
- Strong HRIS configuration experience, especially with compensation planning modules; Workday experience preferred
- Advanced Excel skills and familiarity with BI tools such as Tableau or Looker; SQL or Python experience is a plus
- Rigor and precision in data auditing, validation, and lifecycle management
- Ability to manage and optimize tools at scale in fast-moving environments
- Effective cross-functional communication and comfort working with technical partners
- Action-oriented, organized, and reliable under tight deadlines
- Strong ownership mindset and bias toward simple, scalable systems
