Mercor

Mercor

Product Manager, Trust & Safety

San Francisco · Senior

Sponsorship not specifiedDetected 66 days ago
SQLData ScienceAgentic AIProduct ManagementProject ManagementPRDsCommunication

Stay score

odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

Personalize to your clock →

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • Trust is the foundation of Mercor's marketplace.
  • Defending against adversarial, fast-moving threats is one of the highest-leverage problems at the company.
  • the multi-agent system that scores risk across expert lifecycle stages; the signals that feed it; and the enforcement actions.

Responsibilities

  • Own the Trust and Safety product end-to-end:
  • Set the roadmap for Mercor's Trust and Safety systems and own the lifecycle from signal detection to enforcement action.
  • Build the Operations Tooling:
  • Design the products and workflows that our operations analysts use every day.
  • Write specs and PRDs, but also build dashboards, pull SQL, and make small PRs to unblock yourself and validate direction.
  • Own the Trust and Safety product end-to-end: Set the roadmap for Mercor's Trust and Safety systems and own the lifecycle from signal detection to enforcement action.
  • Build the Operations Tooling: Design the products and workflows that our operations analysts use every day. Orient them around the action being taken, keep evidence bars and audit trails clear, and make high-severity calls defensible.

Nice to have

  • 5+ years in Product Management, Product Operations, Technical Program Management, Trust & Safety, Risk, Fraud, or a similar technical, operationally-minded role.
  • Prior exposure to safety or integrity problems is a strong plus.
  • Technical Fluency:
  • Comfortable with large datasets, AI agents, unblocking and accelerating engineering.
  • Systems Thinking:
  • Strong project management and cross-functional communication skills.
  • Thrive in ambiguous, adversarial environments and take ownership from problem definition through execution.
  • High accountability for outcomes, not just outputs.

Compensation

  • Bi-annual performance bonus structure

Benefits

  • Bi-annual performance bonus structure
  • Generous equity grant vested over 4 years
  • Up to $15k Relocation bonus
  • $10K housing bonus (if you live within 0.5 miles of our office)
  • $1.5K monthly stipend for meals
  • $200 monthly laundry reimbursement
  • $200 monthly personal wellness reimbursement
  • Health, Dental, Vision insurance
  • Connect Trust and Safety decisions to Mercor long term health, expert trust, and client trust, and use that to prioritize business outcomes

Company info

  • Mercor's mission is to organize human intelligence to power the AI economy.
  • We're a leading AI data company, building the layer between human expertise and frontier models.
  • Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models.
  • Mercor's APEX benchmark family measures AI's real-world impact on professional work.
  • Mercor Enterprise brings this same infrastructure to Fortune 500 companies:
  • helping companies capture how their best people actually work, translating that expertise directly back into agents.
  • Mercor is creating a new category of work where expertise powers AI advancement.
  • Achieving this requires an ambitious, fast-paced and deeply committed team.
  • You'll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society.
  • Mercor is a profitable Series C company valued at $10 billion.
  • We work in-person five days a week in our San Francisco, NYC, or London offices.

This listing is sourced directly from Mercor's careers page and normalized into a canonical job model.