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Mercor

Product Manager

Reposted 2 Months Ago
In-Office
San Francisco, CA, USA
180K-500K Annually
Junior
In-Office
San Francisco, CA, USA
180K-500K Annually
Junior
Own major product areas to convert human expertise into training data and tooling for AI. Conduct user research, write specs, build dashboards/MVPs, partner with engineering/research/ops/design, and drive product strategy from conception to execution.
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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 Role

As a Product Manager, you'll build products that help the world's leading AI labs and enterprises transform human expertise into better AI models.

You'll own a major product area with significant autonomy, working directly with engineering and leadership to turn ambiguous problems into shipped products. You'll balance long-term strategy with rapid execution, making decisions that directly shape the company's trajectory and bottom line.

What You’ll Do
  • Advance the frontier of AI: Mercor is organizing humanity's expertise into better AI models for every lab and enterprise. You'll build and own the products that make this possible.

  • Understand User Needs: Work directly with expert annotators, customers, and internal operators to deeply understand their needs.

  • Understand the Business: Work backwards from business outcomes to make product decisions that impact business health and growth.

  • End-to-end ownership: Own product and feature lifecycles end-to-end, from conception to execution to sunsetting when necessary .

  • Get in the weeds: Write specs and PRDs but also build dashboards and make small PRs to unblock yourself.

  • Collaborate: Partner closely with engineering, research, operations, and design to ship products quickly.

Scopes Available

This is a general listing for all levels and product areas at Mercor. Candidates will be matched at a later stage to one of the following groups. We are willing to make exceptional offers to outlier candidates.

  • Expert Network: Build products that grow and improve the world's highest-quality network of AI experts.

  • Annotation and Eval Interface: Build the system of record for creating and analyzing datasets

  • Research: Productize advances in eval science, model-in-the-loop, and post-training to improve the value of our offerings.

  • New Bets: Launch 0 -> 1 product bets.

What We’re Looking For
  • Experience: 2+ years as a product manager

  • Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field such as Mathematics, Statistics, or Data Science; degrees in Economics, Cognitive Science, or Business considered with strong technical experience

  • High Ownership: You take full accountability for outcomes, not just outputs.

  • Independence: Able to self-direct in ambiguous contexts, creating clarity for others.

  • Technical Fluency: Comfortable building scrappy MVPs yourself when needed to validate direction, unblock engineering, or accelerate iteration.

  • Strategic Vision: Strong ability to connect user needs and business context to long-term product direction.

  • User Obsession and Understanding: Talks to users frequently, knows how to effectively conduct user research and customer interviews.

  • Balance of Metrics & Vision: 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

HQ

Mercor San Francisco, California, USA Office

San Francisco, California , United States, 94105

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