Product Manager, Applied AI

Mercor, Inc.

San Francisco (CA)

On-site

USD 100,000 - 140,000

Full time

14 days+

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Benefits offered by this job

Bi-annual performance bonus

Equity grant vested over 4 years

Relocation bonus up to $15k

Housing bonus of $10K

$1.5K monthly stipend for meals

Free Equinox membership

$200 monthly laundry reimbursement

$200 monthly personal wellness reimbursement

Health, Dental, Vision insurance

Job summary

Mercor, Inc. is seeking a Product Manager in San Francisco to enhance AI development by creating products that leverage human expertise. The successful candidate will have autonomy to shape product strategy based on user needs and business outcomes.

We require candidates with a background in product management and a technical understanding of software engineering or machine learning. Additional perks include generous equity vesting, performance bonuses, and various stipends to support relocation and housing.

Qualifications

2+ years as a product manager with experience in software engineering or machine learning preferred.
Proven track record of taking full accountability for product outcomes.
Ability to self-direct and create clarity in ambiguous contexts.

Responsibilities

Build products that improve AI models by organizing human expertise.
Work with users to deeply understand their needs and integrate outcomes into product decisions.
Own product lifecycle from conception through execution.

Skills

Product management

Technical fluency in software engineering

User research and customer interviews

Strategic vision

Data analysis and experimentation

Job description

About Mercor

Mercor's mission is to organize human intelligence to power the AI economy. 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 $3 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 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, 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.