Product Manager, Applied AI

Mercor is at the intersection of labor markets and AI research. 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 $1.5 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 new San Francisco headquarters.

As a Product Manager on the Applied AI team at Mercor, you’ll own one of the most critical scopes in the company. You’ll operate with extreme independence, solving problems that have no playbook and driving initiatives that shape how the world’s leading AI labs source talent and train frontier models.

You’ll collaborate directly with engineering and leadership, making product decisions that tie directly to strategy, business outcomes, and user needs. You’ll balance visionary bets with hard metrics, and you’ll move seamlessly between strategic direction-setting and hands-on execution.

This role is best for someone who thrives on ambiguity, embraces ownership, and adds massive leverage to both leadership and engineering teams.

• Drive product strategy, execution, and outcomes within your scope

• Translate high-level company goals and ambiguous business contexts into concrete product roadmaps

• Collaborate directly with engineers, writing specs, reasoning about tradeoffs, and making decisions that unblock progress

• Talk to users frequently, synthesize their needs, and balance user input against strategic priorities

• Define and own metrics while ensuring long-term vision isn’t constrained by short-term data

• Operate independently, owning end-to-end outcomes without needing established processes or policy frameworks

• Build interfaces that reduce average handling time (AHT) for thousands of experts

• Scale production of frontier data types

• Work closely with frontier labs to support AI research

• 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-Centric Judgment: Talks to users frequently, but knows when to inference beyond what’s said and when to say no.

• Balance of Metrics & Vision: Equally comfortable running rigorous experiments and pushing forward visionary bets.

• Leverage: Your work magnifies the impact of engineering and leadership teams.