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Mercor
San Francisco, California, United States
Source: Mercor careers · View original posting
From Mercor's posting. “We” and “our” refer to the employer.
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.
This is a rare, foundational hire: Mercor's first GTM Engineer. You'll sit at the intersection of engineering, growth, and marketing — building the systems that power how Mercor acquires, serves, and expands customers.
You'll design and deploy the infrastructure behind Mercor's go-to-market engine from the ground up: integrating AI agents into customer workflows, building the data and tooling to power marketing and sales, and transforming manual, spreadsheet-driven processes into reliable, production-grade systems.
The ideal candidate combines strong technical depth with exceptional business instincts. You understand how modern go-to-market organizations actually operate — from lead generation and attribution to pipeline management and customer expansion — and have the technical fluency to turn that understanding into scalable systems. You're equally comfortable writing SQL and Python, building AI-powered workflows, and partnering with marketing and revenue leaders to solve high-leverage operational problems.
Compensation
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