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OpenAIOpenAI

Trust & Safety Operations Analyst, Ads

Senior operator responsible for scaling ads Trust & Safety operations through analytics, dashboards, capacity planning, data-quality mechanisms, and AI-assisted automation. Requires 8+ years of relevant experience, strong SQL, and the ability to turn ambiguous cross-functional problems into operational decisions and scalable systems.

About the job

Responsibilities

  • 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 analyses across advertiser risk, enforcement performance, review quality, product launches, and operational health; turn findings into recommendations and next steps.
  • Partner with Data Science and Data Engineering teams on goals, metric logic, data requirements, source-of-truth decisions, and data-quality strategy.
  • Design and maintain 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 support operational scale.
  • Drive operational readiness for new ads and monetization launches, features, and markets by sizing impact, identifying risks, and defining monitoring plans.
  • Communicate data-driven tradeoffs, priorities, and recommendations to cross-functional stakeholders.

Requirements

  • 8+ years of experience in Trust & Safety, Business Integrity, technical operations, data analytics, or a closely related field.
  • Strong SQL skills and experience working with complex datasets, source-of-truth questions, and data-quality issues.
  • Experience building and owning dashboards, recurring reporting, monitoring, or operational measurement systems.
  • Experience using data for budget, capacity, or workforce planning.
  • Proven ability to independently own ambiguous, cross-functional initiatives and turn analysis into decisions, workflows, or scalable systems.
  • Experience leveraging AI models or agent-based tooling in operational workflows, or developing lightweight technical solutions.
  • Excellent written and verbal communication skills.
  • Strong judgment regarding quality, safeguards, responsible deployment, and data use in high-stakes decisions.

Nice-to-haves

  • Familiarity with ads and advertiser ecosystems and the operational signals influencing review, enforcement, and support decisions.

Compensation

  • Annual salary: $252,000–$280,000.

Skills

SQL, Data Analytics, Dashboarding, Data Quality, Capacity Planning, Workforce Planning, Data Automation, Ai Models, Agent-Based Tooling, Trust & Safety, Data Science, Data Engineering, Monitoring

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