Private Draft

The 29 personas behind AI

We’ve organized every stage and persona in the AI supply chain, informed by real recruiting at frontier companies. Click any row to see matching profiles from our talent graph.

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Trust & Safety Operations

Guards deployed AI at scale

Trust & Safety Operations

Summary

Known as: Trust & Safety Lead, Content Policy Manager, AI Safety Operations, Abuse & Misuse Analyst

Post-deployment monitoring and response for AI systems in production. Content moderation, abuse detection, incident triage, usage policy enforcement, and real-time intervention when models produce harmful outputs at scale. Defines acceptable use policies, coordinates rapid response across engineering, legal, and policy when novel abuse patterns emerge, and feeds production incidents back into evals and mitigations.

Specializations

Content Policy — Writing, maintaining, and interpreting acceptable use policies. Translates legal, ethical, and product requirements into enforceable rules and guidelines. Often the first function to scale as user-facing AI products launch.

Abuse & Misuse Detection — Tooling and investigation for detecting policy violations, novel abuse patterns, and adversarial misuse at scale. Builds classifiers, heuristics, and monitoring systems. Feeds findings back to Alignment (red teaming), engineering (mitigations), and Training Data (content policy decisions shape data filtering for future training runs).

Incident Response & Triage — Real-time response when models produce harmful outputs or novel abuse surfaces in production. Escalation workflows, rapid coordination across engineering/legal/policy, and post-incident analysis. The T&S equivalent of SRE on-call.

Review Operations — Managing human review workflows at scale — vendor management, annotator workforce, quality assurance, throughput optimization, and tooling PM for review pipelines. Operationally heavy and often the largest headcount within T&S.

Where the Work Lives

[1]Substrate

[2]Compute

[3]Intelligence

[4]Systems

Primary

Content moderation systems, abuse detection, and incident response for deployed AI.

[5]Distribution

Secondary

Protects users at scale through policy enforcement and real-time intervention.

Candidate Archetypes