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Mercor · Engineering

Chief of Staff, Product

Where
Mercor HQ, 181 Fremont Street
Experience
2+ yrsstated in the description
Pay
$180K–$230Kbase, as stated on the posting
Posted
First seen by Unlisted 7 Oct, 22:05 UTC
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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 Chief of Staff to the Head of Product, you'll be the operational backbone of an org that helps the world's leading AI labs and enterprises transform human expertise into better AI models. Mercor is organizing humanity's expertise into better AI models for every lab and enterprise — and you'll make the team building it run.

You'll work directly with the Head of Product and leadership across every product area — Marketplace, Studio (annotation), RL Environments, and the Eval Platform — turning a fast-moving, multi-team org into a coherent, predictable machine. You'll balance long-term operating strategy with rapid execution, owning the cross-cutting work that falls between teams and directly shaping how well the product org performs. You'll also shape Mercor's customer-facing product narrative, driving deeper relationships across the AI ecosystem


What You'll Do


What We're Looking For


Benefits