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Product Manager

MercorSan Francisco
Full-timeMid Level
$180k - $230k
per year
👁️ 7 views📝 0 applicationsPosted 6/29/2026Expires 10/21/2026
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Job 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 dashboa

Required Skills

LeadershipMachine Learning

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