# Operations Analyst, Safety

**Company:** [Thinking Machines Lab](https://hotfix.jobs/companies/thinking-machines-lab)
**Location:** San Francisco, CA
**Role:** Other
**Salary:** $190k – $300k/yr
**Experience:** 2+ years
**Skills:** trust and safety, content moderation, policy development, abuse detection, AI Tools, prompt injection, jailbreaks, cbrn risk, youth safety, cybersecurity abuse, Workflow Automation, Observability
**Posted:** 2026-07-24

> Operations Analyst responsible for daily review of flagged content and safety escalations in AI products, while building policy, tooling, and automation to improve moderation efficiency and embed safety into product design. Requires 2+ years in trust & safety or content moderation with direct queue ownership and experience using AI tools for operations.

## Job Description

## What You’ll Do

- Review flagged content, safety escalations, and account-level abuse signals daily. Triage cases, apply policy judgment, and take action (content flags, account review, bans/recovery) on an ongoing basis.
- Use patterns from casework to design and refine safety policy across the product stack, working with engineering, legal, safety research, and security stakeholders.
- Build and maintain tooling and automation that make casework faster and more consistent: triage agents, ban/recovery workflows, abuse detection frameworks and templates.
- Partner with product teams to embed safety into the product experience: model refusals, content flagging, account review, and safety protections, informed by queue observations.
- Improve observability and detection for safety-relevant events (model safety trends, abuse patterns, malicious behavior in production).

## Skills and Qualifications

**Minimum qualifications:**

- 2+ years in an operational trust & safety, content moderation, or fraud/abuse ops role with direct, recurring responsibility for a case queue.
- Experience owning policy definition, operationalization, and enforcement end to end, evidenced by specific policies or enforcement programs built or run.
- Direct case experience with at least one of: cybersecurity abuse, CBRN-relevant risk, youth safety, or prompt injection, in a production environment.
- Working familiarity with model safety and abuse risk categories (jailbreaks, prompt injection, scaled abuse) and how to identify and mitigate them in a live product, evidenced by specific cases handled.
- Practical experience using AI tools (Claude, Codex, or similar) to build or accelerate operational workflows.

**Preferred qualifications:**

- Experience with safety and integrity operations specifically on AI-powered products or LLM APIs, and their unique abuse patterns.
- Track record of turning recurring case patterns into reusable tooling, workflows, or process improvements, while still owning the underlying queue.
- Experience training, onboarding, or setting the quality bar for other moderators or reviewers.

## You’ll Thrive in This Role if

- You have thoughtful opinions about safe, trustworthy, frictionless user experiences and test those opinions against real cases in the queue.
- You can translate safety and technical constraints into clear product trade-offs and feature requirements, growing out of daily casework.
- You bias toward speed and learning, measured by how much faster or better the queue runs.

## Logistics

**Compensation:** Depending on background, skills and experience, the expected annual salary range for this position is $190,000 - $300,000.

**Benefits:** Generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

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