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The Global Safety Response Operations Lead is a hands-on team lead who both manages a regional Safety Response team and personally handles high-risk safety cases. This role combines frontline safety work with people leadership, operational ownership, and cross-functional coordination. You will lead a team of Safety Response Analysts who handle OpenAI’s most sensitive and high-impact cases, while also personally contributing to casework for complex, high-risk, or high-visibility issues. You will own the execution of high severity escalations in your region and ensure proper execution and communication to cross functional stakeholders. You will be accountable for ensuring your region consistently meets utilization, quality, and SLA targets while serving as the operational interface with Product, Policy, Legal, Investigations, and regional stakeholders. This is a 24/7 global operation that requires flexibility to support rotating shifts, including nights, weekends, and holidays, as part of a leadership on-call model.
Job Responsibility:
Lead and coach a regional team of Safety Response Analysts
Own regional operational outcomes, including utilization, SLA adherence, backlog health, and quality benchmarks
Handle and oversee the most complex and high-risk cases
Contribute directly to frontline work (20–30%), including investigations, enforcement decisions, and regulatory or legal escalations
Partner cross-functionally with Product, Policy, Legal, Investigations, and local market teams
Drive operational excellence and continuous improvement
Identify emerging risks and trends
Requirements:
5+ years in Trust & Safety, Risk Operations, Investigations, Fraud, Annotation, or platform integrity
4+ years of people leadership or senior-level operational ownership
strong decision-maker in ambiguous, high-risk environments
communicate complex safety and risk decisions clearly and credibly
translate between frontline operations and strategic stakeholders
skilled at influencing without authority
deeply familiar with content moderation, user safety, fraud, or developer risk frameworks
use data, tooling, and automation to improve quality, efficiency, and scale
comfortable leading in a 24/7, high-pressure operational environment