Product Manager, AI Environments & Frontier Tasks

mercor.com

San Francisco (CA)

On-site

USD 140,000 - 230,000

Full time

3 days ago
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Benefits offered by this job

Bi-annual performance bonus
Equity grant vested over 4 years
Relocation bonus up to $15k
Housing stipend
Meal stipend
Equinox membership
Laundry reimbursement
Wellness reimbursement
Health, Dental, Vision insurance

Job summary

Mercor is seeking a Product Manager for Environments who will own the platform turning worlds into thousands of hard, verifiable training tasks. You will decide what we build to push agents beyond current limits, set quality bars labs rely on, and repurpose work into reusable products for multiple teams.

You will shape frontier training runs, influence the next generation of agents, and collaborate with researchers and engineers to deliver scalable, high-impact solutions.

Qualifications

  • 3+ years as a product manager; SWE/ML/DS background preferred.
  • Ability to drive cross-functional initiatives and own outcomes.
  • Experience building MVPs or scrappy prototypes to validate direction.

Responsibilities

  • Own the Environments platform and define what to build to scale tasks for frontier AI agents.
  • Develop world-to-task generation systems and set quality and grading standards.
  • Create run-by-run feedback loops to optimize throughput, difficulty, and cost.
  • Build a shared environment platform that accelerates delivery across teams.
  • Define roadmap and success criteria using lab feedback and agent failures.

Skills

Product management
Technical fluency
Ownership mindset
Strategic vision
User research
Independent work

Job description

Mercor is seeking a Product Manager for Environments who will own the platform turning worlds into thousands of hard, verifiable training tasks. You will decide what we build to push agents beyond current limits, set quality bars labs rely on, and repurpose work into reusable products for multiple teams.

You will shape frontier training runs, influence the next generation of agents, and collaborate with researchers and engineers to deliver scalable, high-impact solutions.

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