Compensation Operations Analyst

OpenAI•San Francisco, CA

2d•$180,000 - $200,000•Hybrid

About The Position

OpenAI is seeking a Compensation Operations Analyst to join its People team. This role is focused on building and managing the systems, tools, and processes that support compensation at OpenAI. The analyst will be responsible for configuring HRIS modules, managing compensation tools, ensuring data quality, and overseeing compensation cycles. This position requires close collaboration with People Systems, Total Rewards, Finance, and external vendors to maintain an accurate, scalable, and audit-ready compensation infrastructure. The role is based in San Francisco, CA, with a hybrid work model requiring three days in the office per week. Relocation assistance is available for new employees.

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.
Advanced Excel skills.
Familiarity with BI tools such as Tableau or Looker.
Rigor and precision in data auditing, validation, and lifecycle management.
Ability to manage and optimize tools at scale while navigating fast-moving environments.
Effective communication skills across functions.
Comfort working with technical partners.
Action-oriented, organized, and reliable under tight deadlines.
Strong ownership mindset and a bias toward simple, scalable systems.

Nice To Haves

Workday experience is preferred.
SQL or Python experience is a plus.

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.