About the RoleWe're looking for a senior operator with strong analytical instincts to help build and scale Monetization Trust & Safety Operations at OpenAI. In this role, you'll flex across the team's highest-priority data and operational needs-from reporting and dashboard insights to budget and capacity planning, project-based analysis, and data automation -while partnering closely with Product, Policy, Engineering, Legal, Go To Market, and Data Science and Data Engineering teams.
This role sits at the intersection of strategy, execution, and data: you'll define ambiguous problems, query and validate data, build decision-support systems, and translate operational signals into clear recommendations and scalable, AI-first solutions. You should be comfortable moving from a high-level question to a rigorous analysis, a useful dashboard, an automated workflow, or a durable operating mechanism.
As OpenAI introduces new revenue-generating formats and partnerships, you'll help the team understand where risks, capacity constraints, quality gaps, and opportunities are emerging. You'll bring structure to ambiguity and ensure Ads Trust & Safety decisions are grounded in reliable data while balancing user safety, advertiser experience, and business growth.
In this role, you will:- 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.
- 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.
You might thrive in this role if you:- 8+ years of experience in Trust & Safety, Business Integrity, technical operations, data analytics, or a closely related domain.
- Strong SQL skills and comfort working with unfamiliar, complex datasets, reconciling source-of-truth questions, and resolving data-quality issues.
- Experience building and owning dashboards, recurring reporting, monitoring, or operational measurement systems from scoping through adoption and maintenance.
- Experience using data for budget, capacity, or workforce planning, including translating demand, quality, and service-level signals into practical operating plans.
- Proven ability to independently own ambiguous, cross-functional initiatives and turn analysis into decisions, workflows, or scalable systems.
- In-depth experience leveraging AI models or agent-based tooling in operational workflows, or other lightweight technical development where useful.
- Excellent written and verbal communication skills, including the ability to explain complex analyses, data limitations, risk tradeoffs, and recommendations to diverse audiences.
- Strong judgment around quality, safeguards, responsible deployment, and the appropriate use of data in high-stakes operational decisions.
- Bonus: Familiarity with ads and advertiser ecosystems and the operational signals that shape review, enforcement, and support decisions.
