Job description

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

Requirements

Must-haves

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.
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.
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.
Experience: 2+ years as a product manager
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.

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Effort: quick

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Dental

Vision

Wellness