Operations Analyst, User Operations (trust & Safety) - Emea

OpenAI OpenAI · AI Frontier · London, United Kingdom · Trust & Safety

This role focuses on user safety and risk operations within OpenAI's User Operations team. The analyst will triage and resolve complex user issues, conduct risk evaluations, manage incidents, and improve operational workflows. A key aspect is identifying repetitive tasks and prototyping automation using AI tools, no-code platforms, or scripting, in collaboration with technical teams. The role requires strong analytical skills, systems thinking, and the ability to operationalize ambiguous risk signals. While the role uses AI tools and collaborates with technical teams on automation, its core function is operational risk management and product safety, not direct AI/ML model development.

What you'd actually do

  1. Triage and resolve complex, high-sensitivity user issues and escalations, including trust & safety incidents and other time-critical risk reviews.
  2. Conduct risk evaluations and investigations using internal tooling, operational documentation, and appropriate external sources when relevant.
  3. Serve as an incident manager for sensitive reviews requiring nuanced interpretation, clear decision-making, and strong cross-functional coordination.
  4. Partner with stakeholders across Legal, Policy, Product, Engineering, and Support to drive fast, defensible outcomes—and ensure lessons learned translate into improvements to user experience, policy interpretation, and safety operations.
  5. Design and improve operational workflows (intake, triage, escalation pathways, QA, training, and governance) with a strong focus on consistency, scalability, and auditability.

Skills

Required

  • 5+ years of experience in trust & safety, risk operations, investigations, incident response, or comparable high-judgment operational work
  • Strong analytical skills (e.g., SQL)
  • Comfortable working with data tooling/dashboards
  • Ability to translate insights into operational changes
  • Ability to operationalize ambiguous risk signals into structured inputs for classifier/detection development
  • Clear, defensible point of view formation and communication
  • Systems thinking
  • AI-fluent and knowledge of applying model/agent tooling
  • Strong QA discipline and appropriate safeguards
  • Clear and effective written communication
  • Ability to thrive in ambiguity and manage multiple priorities

Nice to have

  • Experience building QA programs, calibrations, sampling plans, or standardized review practices for sensitive workflows.
  • Experience working with scaled vendor operations and governance models.
  • Familiarity with building lightweight automation (scripts, no-code tools, workflow automation) in operational contexts.

What the JD emphasized

  • 5+ years of experience in trust & safety, risk operations, investigations, incident response, or comparable high-judgment operational work in a fast-moving environment.
  • AI-fluent and know how to apply model/agent tooling in real workflows