Product Manager

· Remote

Location

Remote

Type

Full Time

Job Description

MercorJobs
Product Manager

Product Manager

Posted Yesterday
Be an Early Applicant
San Francisco CA USA
In-Office
180K-230K Annually
Junior
Artificial Intelligence • Software
We use AI to understand human ability and match talent with the opportunities they're best suited for.
The Role
Own major product areas to convert human expertise into training data and tooling for AI. Conduct user research write specs build dashboards/MVPs partner with engineering/research/ops/design and drive product strategy from conception to execution.
Summary Generated by Built In
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 30000 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.

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

Skills Required

  • 2+ years as a product manager
  • Prior experience in software engineering machine learning or data science
  • End-to-end product ownership from conception to sunsetting
  • Technical fluency to build scrappy MVPs and make small PRs
  • Experience conducting user research and customer interviews
  • Ability to write specs and PRDs
  • Ability to build dashboards and run metrics/experiments
  • Strong ownership independence and strategic vision

Mercor Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Mercor and has not been reviewed or approved by Mercor.

  • Fair & Transparent CompensationPay is considered competitive across many roles with clear hourly ranges and an hourly/pay‑per‑task mix designed to align rates with expertise. The structure emphasizes transparent appropriate pay levels and guarantees payment for legitimate logged time.
  • Strong & Reliable IncentivesPayments are processed on a predictable weekly cadence via Stripe/Wise and some tracks offer additional weekly bonus incentives for top performers. This combination of regular payouts and performance bonuses supports dependable earnings when projects are active.
  • Equity Value & AccessibilitySelect full‑time roles include generous equity grants alongside cash perks such as relocation and housing bonuses. These elements increase total compensation for those positions.

Mercor Insights

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The Company
HQ: San Francisco California
2217 Employees
Year Founded: 2023

What We Do

We use AI to understand human ability and match talent with the opportunities they're best suited for.

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Date Posted

06/30/2026

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