Mercor Product Manager at Mercor responsible for building products that transform human expertise into better AI models. Own a major product area with autonomy, working with engineering and leadership to deliver impactful products.
Responsibilities
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.
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
Qualification
ExperienceHigh OwnershipIndependenceTechnical FluencyStrategic VisionUser Obsession and UnderstandingBalance of Metrics & Vision
Required
Experience: 2+ years as a product manager, prior experience in SWE, ML, or DS preferred.
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.
