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MercorProduct Manager
AI in this role
Build products that transform human expertise into training data and models for leading AI labs and enterprises.
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
How we rate this
Product Manager at Mercor rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
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Skills and AI tools this role asks for
Also common in AI product manager jobs at this level
Questions you could be asked
- Tell me about a project where product management was part of your work. What did you do?
- Tell me about a project where prds was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: Product Management, Prds, and Data Analysis. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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