The opportunity
At OpenAI, Trust & Safety Operations is central to protecting OpenAI’s platform, customers, and the public from abuse. We partner closely with Product, Engineering, Legal, Policy and Go To Market teams to identify emerging risks, build and mature enforcement systems, and ensure…
What you'll do
Own complex, high-impact Ads Trust & Safety data and operational problem areas from scoping through execution.
Improve recurring reporting and dashboards by defining meaningful metrics,: surfacing trends and gaps, and translating insights into operational decisions.
Lead budget and capacity planning by connecting demand, review volumes,: service levels, quality, and risk signals to staffing and operating plans.
Conduct project-based analyses across advertiser risk, enforcement: performance, review quality, product launches, and operational health; turn findings into clear recommendations and next steps.
Partner closely with Data Science and Data Engineering teams to define goals,: metric logic, data requirements, source-of-truth decisions, and QA data strategy.
Design and maintain practical data-quality and measurement mechanisms,: including sampling, validation, discrepancy investigation, quality dashboards, and feedback loops.
What they're looking for
- Build and improve automations, AI-assisted workflows, and decision-support: tools that reduce manual work and help Ads Trust & Safety and Ads Support scale.
- Drive operational readiness for new Ads and monetization launches, features,: and markets by sizing impact, identifying risks early, and defining monitoring plans.
- Act as a senior cross-functional partner and subject-matter expert,: communicating data-driven tradeoffs, priorities, and recommendations with strong judgment and credibility.
- + years of experience in Trust & Safety, Business Integrity, technical: operations, data analytics, or a closely related domain.
