--- title: 'Product Manager at Mercor' canonical: 'https://feeny.ai/job/product-manager-mercor-san-francisco-e52w3gkcp28v' type: 'job' last_seen: '2026-10-17' --- # Product Manager at Mercor - **Company:** Mercor - **Location:** San Francisco, CA - **Compensation:** $180k–$500k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-06-29 - **Last confirmed live:** 2026-10-17 - **Apply:** https://jobs.ashbyhq.com/mercor/b0f22275-9ec5-4725-93f9-ea0104cc1272/application **Skills:** Product Management, Product Lifecycle Management, User Research, Customer Interviews, Spec Writing, PRD Writing, Dashboard Building, MVP Development, Software Engineering, Machine Learning, Data Science > Build and own products that help AI labs and enterprises transform human expertise into better AI models. The role involves end-to-end product lifecycle ownership, strategic planning, and collaboration with engineering and research teams to drive business growth. ## Job description ## About Mercor Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents. 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 - Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field such as Mathematics, Statistics, or Data Science; degrees in Economics, Cognitive Science, or Business considered with strong technical experience - 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 ## About Mercor ## Company Overview - **One-liner**: Mercor organizes human intelligence to power the AI economy by connecting domain experts with frontier AI labs and enterprises for model training, evaluation, and deployment. - **Entity Type**: Private (Series C) - **Headquarters**: San Francisco, California, USA (with offices in New York City and London) - **Founded**: 2023 - **Founders**: Brendan Foody & Adarsh Hiremath (Co-founders & Co-CEOs) ## Core Business - Primary industry: AI Data & Infrastructure, Human-in-the-Loop AI, Enterprise AI - Target customers: Frontier AI labs (OpenAI, Anthropic, etc.), Fortune 500 enterprises deploying AI in production, and domain experts seeking high-value AI work - Mission: Organizing human intelligence to power the AI economy — building the layer between human expertise and frontier models. ## Products & Services - **Mercor Platform**: A global network of millions of domain experts across 300+ professional fields, paid over $3 million per day to train frontier AI models. Experts are found and vetted using dynamic, role-specific AI interviews. - **APEX Benchmark**: A benchmark family that measures AI's real-world impact on professional work, setting a standard for whether AI can perform economically valuable work. - **Mercor Enterprise**: Brings Mercor's expert network and evaluation infrastructure to Fortune 500 companies, deploying custom AI agents, staffing teams with vetted domain experts, and helping organizations encode their own knowledge into AI systems. ## Market Standing - **Valuation**: $10 billion valuation (as of Series C) - **Key Metric**: Total Funding — $350 million Series C (recently raised); company is profitable - **Notable Investors/Partners**: Not explicitly named in provided sources, but the company works with leading AI labs and Fortune 500 enterprises - **Growth Signals**: - Named to Bloomberg's "2026 24 AI Startups to Watch" - Forbes AI 50 (2025) - Forbes Cloud 100 (2025) - LinkedIn Top Startup (2025) - Described as "the fastest-growing company in the world" - Tens of thousands of skilled professionals earning an average of more than $95/hour on the platform ## Competitive Advantages - **Massive, vetted expert network**: Millions of domain experts across 300+ fields, found and vetted via AI-driven interviews — a hard-to-replicate moat. - **Direct frontier model exposure**: Every team works directly with frontier models, training them and building around them — most companies haven't imagined this level of integration. - **Profitability at scale**: Profitable at Series C with a $10B valuation, indicating strong unit economics. - **End-to-end AI infrastructure**: From expert sourcing and vetting to model evaluation (APEX) to enterprise deployment — a vertically integrated stack. ## Strategic Focus - **Scaling the expert network**: Continuing to onboard millions of domain experts globally to meet the insatiable demand for high-quality human training data. - **Enterprise AI deployment**: Expanding Mercor Enterprise to help Fortune 500 companies encode organizational knowledge into AI systems and deploy custom agents. - **Benchmarking AI's economic impact**: Growing the APEX benchmark as the standard for measuring whether AI can perform economically valuable work. - **Preparing for AGI**: The company's founding thesis is about answering what role humans will play in the economy as AGI approaches. ## Why Work Here - **Culture**: "Built for people who thrive in high-velocity environments." Values include Intensity, Simplicity, User Obsession, High Standards, Can-Do Attitude, and Time Travelers (thinking ahead). - **Work model**: In-person collaboration from offices in San Francisco, New York City, and London. No remote option — the company believes in-person collaboration helps move faster and solve harder problems. - **Engineering culture**: Direct exposure to frontier AI research, labs, and startups. Every team works with frontier models daily. Described as "the fastest-growing company in the world." - **Compensation**: Generous equity grants, competitive salaries (ranges from $100K–$500K depending on role), and a "proximity bonus" (generous annual housing support). - **Benefits**: - Unlimited paid vacation and sick days - Free Equinox membership (premium fitness access) - Monthly wellness stipend and free mental health services - Monthly food stipend - 401k with employer match - Parental leave for both birthing and non-birthing parents - **Team**: "A team of ambitious, diverse people who want to work on what matters most." Open roles across Engineering (31 roles), Operations (15 roles), Enterprise (5 roles), Finance (4 roles), and more. ## Sources 1. [mercor.com](https://www.mercor.com/) 2. [mercor.com/careers](https://www.mercor.com/careers/) 3. [mercor.com/mission](https://www.mercor.com/mission/) 4. [jobs.ashbyhq.com/mercor](https://jobs.ashbyhq.com/mercor) 5. [linkedin.com/company/mercor-ai](https://www.linkedin.com/company/mercor-ai) ## Other roles at Mercor - [Pricing and Monetization Manager](https://feeny.ai/job/pricing-and-monetization-manager-mercor-san-francisco-j5x2n97q9a1k) — San Francisco, CA - [Creative Director (IC)](https://feeny.ai/job/creative-director-ic-mercor-san-francisco-ezphmvqesgyx) — San Francisco, CA - [Member of Design Staff](https://feeny.ai/job/member-of-design-staff-mercor-san-francisco-q43xwabz87gr) — San Francisco, CA - [Corporate Finance Senior / Associate](https://feeny.ai/job/corporate-finance-senior-associate-mercor-mercor-hq-a9a95pptzazv) — Mercor HQ, 181 Fremont Street - [Chief of Staff, Product](https://feeny.ai/job/chief-of-staff-product-mercor-mercor-hq-vfwhvj7s42t0) — Mercor HQ, 181 Fremont Street - [People Programs Specialist](https://feeny.ai/job/people-programs-specialist-mercor-mercor-hq-5p0vgsxa98gn) — Mercor HQ, 181 Fremont Street - [Senior PMM, Evals](https://feeny.ai/job/senior-pmm-evals-mercor-mercor-hq-dd4w1930b4sy) — Mercor HQ, 181 Fremont Street - [Marketing Manager](https://feeny.ai/job/marketing-manager-mercor-mercor-hq-9m5b7mwswfem) — Mercor HQ, 181 Fremont Street - [Research Intern](https://feeny.ai/job/research-intern-mercor-san-francisco-3pgbj0ap6ca9) — San Francisco, CA - [G&A Recruiter](https://feeny.ai/job/g-a-recruiter-mercor-mercor-hq-hv24t8a3g9r4) — Mercor HQ, 181 Fremont Street