Trust & Safety Operations Analyst
OpenAI
Job Overview
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Job Description
About The Team
At OpenAI, the Trust, Safety & Risk Operations teams are crucial for safeguarding products, users, and the company from abuse, fraud, scams, regulatory non-compliance, and other emerging risks. We operate at the intersection of operations, compliance, user trust, and safety, collaborating closely with Legal, Policy, Engineering, Product, Go-To-Market, and external partners. This ensures our platforms like ChatGPT, API, enterprise offerings, and developer tools are safe, compliant, and trusted by a global user base. The team handles sensitive inbound cases, builds detection and enforcement systems, and scales operational processes in a fast-moving, high-stakes environment.
About The Role
OpenAI is seeking experienced, senior-level Trust & Safety Operations Analysts specializing in Content Integrity & Scaled Enforcement or Emerging Risk Operations. In this role, you will own high-sensitivity workflows, manage incidents for complex cases, and build scalable operational systems including tooling, automation, and vendor processes. This reinforces user safety and trust while meeting legal, ethical, and product obligations. The role involves a hybrid work model of 3 days in the San Francisco office per week, with relocation assistance available. Please be aware that this role may involve exposure to sensitive content, including material that is sexual, violent, or otherwise disturbing.
Key Responsibilities
- Handle and resolve high-priority cases within your specialization (scaled content enforcement, fraud/scams, privacy/regulatory, or emerging risks).
- Conduct in-depth risk evaluations and investigations using internal tools, product signals, and third-party data.
- Act as an incident manager for escalations requiring nuanced policy, legal, or regulatory interpretation.
- Collaborate with cross-functional teams to design and implement world-class operational workflows, decision trees, and automation strategies.
- Establish feedback loops from casework to inform product, engineering, and policy improvements.
- Develop and maintain playbooks, SOPs, macros, and knowledge resources for internal teams and vendors.
- Lead or contribute to cross-functional projects, from initial process builds to global operational scale-ups.
- Monitor operational health via case quality audits, SLA adherence, escalation accuracy, and user satisfaction metrics.
- Train and support vendor teams, ensuring consistent quality and alignment with OpenAI’s trust and safety standards.
You Might Thrive In This Role If You
- Have 5+ years of experience in trust & safety, fraud prevention, scam investigation, privacy/legal operations, compliance, or other risk/integrity domains, ideally in a global tech environment.
- Are adept at leveraging OpenAI technology to enhance workflows, improve decision-making, and scale operational impact.
- Possess deep domain expertise in your specialization and familiarity with relevant legal, policy, and technical frameworks.
- Have a proven track record of scaling operations, building processes, and collaborating cross-functionally for improved performance and safety outcomes.
- Exhibit exceptional analytical skills to detect patterns, assess risk, and recommend policy or product changes based on evidence.
- Communicate with clarity, empathy, and precision, especially in sensitive user-facing contexts.
- Thrive in ambiguous, high-autonomy environments, balancing speed with diligence.
- Are comfortable with frequent context switching, managing multiple projects, and prioritizing impact.
Key skills/competency
- Trust & Safety Operations
- Content Moderation
- Risk Assessment
- Incident Management
- Fraud Prevention
- Policy Enforcement
- Process Improvement
- Cross-functional Collaboration
- Analytical Skills
- Regulatory Compliance
How to Get Hired at OpenAI
- Research OpenAI's mission: Study their dedication to ensuring AI benefits all humanity, focusing on safety and ethical deployment.
- Tailor your resume: Highlight specific experience in trust & safety, incident management, policy enforcement, and risk mitigation.
- Showcase operational scaling: Provide concrete examples of building processes, implementing automation, and managing vendor teams.
- Emphasize analytical skills: Demonstrate your ability to detect patterns, assess risk, and recommend data-driven policy or product changes.
- Prepare for scenario-based questions: Focus on problem-solving sensitive content issues and complex risk mitigation strategies effectively.
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