About this role
About Mercor
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.
About the Team
The Environments team builds the worlds where frontier AI agents learn to do real work. Each environment recreates a real workplace, with realistic company data, the applications professionals use every day, and expert-designed tasks that test whether an agent can actually get the job done. Frontier labs use these environments to find where their models fall short and to train the next generation to do better.
About the Role
As a Product Manager for Environments, you will own the platform that turns a world into thousands of hard, verifiable training tasks. You will decide what we build to push agents past their current limits, set the quality bar that labs hold us to, and turn work built for one project into products every team can use. What you ship helps shape what goes into frontier training runs, and what the next generation of agents can do.
In this role, you will:
- Frontier Capability Gaps: Work with researchers at frontier labs to find where their agents fall short, and turn those gaps into clear requirements for the worlds, tasks, and verifiers we build next.
- Task Generation at Scale: Build task generation systems that turn a single world into thousands of realistic, hard, verifiable tasks, with controls that let teams steer what gets produced.
- Environment Quality Bar: Set the bar for when a world is ready for tasking and when a task is difficult, solvable, and fairly graded, and build the checks that hold every project to it.
- Run-by-Run Feedback Loops: Build the feedback loops that show how every run is performing, so teams can find the bottleneck and push yield and difficulty higher with each iteration.
- Shared Environment Platform: Turn what works on one project into a platform every team can use, including the tools experts use to review and improve tasks, so each new environment is faster to build than the last.
- Roadmap and Success Criteria: Define success in terms of high-quality tasks delivered, balancing throughput, difficulty, and cost, and use lab feedback and agent failures to decide what the platform builds next.
You might thrive in this role if you:
- Experience: Have 3+ years as a product manager, prior experience in SWE, ML, or DS preferred.
- High Ownership: Take full accountability for outcomes, not just outputs.
- Independence: Are able to self-direct in ambiguous contexts, creating clarity for others.
- Technical Fluency: Are comfortable building scrappy MVPs yourself when needed to validate direction, unblock engineering, or accelerate iteration.
- Strategic Vision: Have a strong ability to connect user needs and business context to long-term product direction.
- User Obsession and Understanding: Talk to users frequently, know how to effectively conduct user research and customer interviews.
- Balance of Metrics & Vision: Are equally comfortable running rigorous experiments and pushing forward visionary bets.
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
- Free Equinox membership
- $200 monthly laundry reimbursement
- $200 monthly personal wellness reimbursement
- Health, Dental, Vision insurance
Compensation
$180K – $300K • Offers Equity