Product Manager

Mercor
San Francisco, CA
On-site

Who this role is best for

Aimed at mid-to-senior level product managers who can independently drive product strategy and execution in AI and data domains.

Best fit for

  • Candidates with 2+ years of product management experience and a background in AI, software engineering, or data science
    — “2+ years as a product manager, prior experience in SWE, ML, or DS preferred.”
  • Individuals who thrive in fast-paced, high-impact environments and are comfortable with ambiguity
    — “You'll balance long-term strategy with rapid execution, making decisions that directly shape the company's trajectory and bottom line.”
  • Candidates who are capable of hands-on technical work and can build MVPs independently when necessary
    — “Comfortable building scrappy MVPs yourself when needed to validate direction, unblock engineering, or accelerate iteration.”

Things to consider

  • In-office presence is mandatory, with no mention of remote flexibility or hybrid options
    — “We work in-person five days a week in our San Francisco, NYC, or London offices.”
  • The role demands a high level of autonomy and decision-making responsibility
    — “You'll own a major product area with significant autonomy, working directly with engineering and leadership to turn ambiguous problems into shipped products.”

How to stand out

  • Demonstrate a track record of end-to-end product ownership, including launching and sunsetting features
    — “Own product and feature lifecycles end-to-end, from conception to execution to sunsetting when necessary.”
  • Showcase your experience in understanding user needs through direct customer and user research
    — “Work directly with expert annotators, customers, and internal operators to deeply understand their needs.”
  • Emphasize your ability to connect user and business needs to long-term product strategy
    — “Strong ability to connect user needs and business context to long-term product direction.”
  • Demonstrate fluency in both product documentation and technical implementation
    — “Write specs and PRDs but also build dashboards and make small PRs to unblock yourself.”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Company

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • builds and owns major product areas
  • works directly with engineering and leadership
  • balances long-term strategy with rapid execution
Typical background
2+ years as a product managerprior experience in software engineering, machine learning, or data science

Skills & requirements

Required

Product ManagementFinancial UnderstandingAI KnowledgeTechnical FluencyStrategic VisionUser Obsession

Preferred

Machine LearningData Science

About the role

Original posting from Mercor via Ashby

ABOUT MERCOR

Mercor’s mission is to organize human intelligence for the AI economy. We build the infrastructure that enables frontier AI labs and enterprises to train, evaluate, and improve AI on real-world professional work. More than five million experts have joined our network, and we pay out over $5 million daily for their knowledge and expertise.

We built our training and evaluation infrastructure alongside the world’s leading AI labs. Now, we’re bringing those capabilities to enterprises across industries, enabling them to train, evaluate, and improve AI using their own expertise and standards. Our APEX benchmarks measure how AI performs on economically valuable work, while our enterprise evaluations and post-training capabilities turn those insights into measurable improvements across real-world workflows.

Our work sits at the intersection of frontier AI, human expertise, and real-world application. We’re solving problems few companies have encountered, with the opportunity to influence what the world’s most advanced AI systems become capable of doing. We’re looking for people who bring different perspectives, take ownership, exercise sound judgment, and hold themselves to an exceptionally high standard. You’ll have the opportunity to do consequential work alongside talented colleagues who challenge one another, collaborate openly, and share a commitment to excellence.

Mercor is profitable and recently raised a $750 million Series D at a $20 billion valuation. We work in person five days a week in San Francisco, New York, and London.

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.

Benefits:

  • Generous equity grant vested over 4 years
  • Health, dental, and vision insurance
  • 401(k) with company match
  • Unlimited paid vacation and sick days
  • Parental leave for birthing and non-birthing parents
  • Free mental health services
  • $200 monthly wellness reimbursement
  • $1.5K monthly meal stipend
  • $200 monthly laundry reimbursement
  • Free Equinox membership
  • Up to $15K relocation bonus

Mercor is an Equal Opportunity Employer and is committed to providing equal opportunity to all employees and applicants. Mercor does not discriminate based on actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, related medical conditions and lactation), gender identity or gender expression, sexual orientation, marital status, military service and veteran status, disability, protected medical condition as defined by California or local law, genetic information, or any other characteristic protected by applicable federal, California, or local laws and ordinances. Further, Mercor prohibits discrimination, harassment, and retaliation based on any combination of protected characteristics. This Policy applies to all areas of employment, including recruitment, hiring, training, promotion, compensation, benefits, discipline, termination, and all other privileges, terms, and conditions of employment. This Policy and the law prohibit employment discrimination against any employee or applicant based on any legally protected status.

Source: Mercor careers (Ashby)

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