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Product Manager

On-site
MercorSan Francisco, CA, US1 hour agoWebsite
Fresh
Full-time
Engineering

Compensation

$180,000-$230,000
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Description

About Mercor

Mercor's mission is to organize human intelligence to power the AI economy. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $3 million a day.

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, prior experience in SWE, ML, or DS preferred.

  • 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

Stack

Machine Learning
Posted
Unknown
Last seen
Jun 29, 2026
First seen
Jun 29, 2026

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