---
title: 'Pricing and Monetization Manager at Mercor'
canonical: 'https://feeny.ai/job/pricing-and-monetization-manager-mercor-san-francisco-j5x2n97q9a1k'
type: 'job'
last_seen: '2026-10-17'
---

# Pricing and Monetization Manager at Mercor

- **Company:** Mercor
- **Location:** San Francisco, CA
- **Compensation:** $190k–$250k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-10-14
- **Last confirmed live:** 2026-10-17
- **Apply:** https://jobs.ashbyhq.com/mercor/9c7ccc8f-c5c1-4f56-be2c-dabf1d58d3ae

## 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.

## The Role

Mercor produces all sorts of data of data types, for AI labs and enterprise customers. We're hiring someone to own pricing structures across our data types.

This person will build the pricing models, rate cards, and margin frameworks to ensure pricing is consistent and defensible.

## What You'll Do

Acquisition pricing & cost modeling (buy side)

- Establish fair market value for the data we buy — by data type, domain, and end buyer — and set the acquisition cost ceilings that bound what we'll pay
- Track competitor bidding behavior and maintain the cost curves that tell us when to pay up to win a corpus and when to walk
- Model fully-loaded cost to serve: acquisition price, extraction, human QC, anonymization/PII, and LLM inference — not just what we pay the vendor
- Define the priceable unit for each data type — per repo, per file, per video minute, per audio hour — and the quality attributes that move price within a unit

Monetization & margin strategy (sell side)

- Design pricing and packaging frameworks for data by data type, volume, format, and customer segment
- Build rate cards and tiered pricing for recurring, repeatable data products
- Own unit economics per deal and per data product, including transfer pricing, internal chargeback, and direct vs. indirect revenue attribution across account P&Ls
- Build the pricing/forecasting toolkit Finance and leadership use to evaluate new data products before launch
- Continuously test and refine pricing using win/loss data, renewal behavior, and market feedback

## What We're Looking For

- 6+ years in pricing strategy, monetization, revenue operations, or a related analytical/strategy role — ideally at a data, marketplace, or B2B SaaS company
- Strong financial/quantitative modeling skills — fluent in Excel/Sheets; SQL a strong plus
- Track record of building pricing models from scratch, not just tuning ones already in place
- Comfortable operating with real ambiguity — public benchmarks for pricing data assets are thin, so structured judgment matters as much as data
- Sharp cross-functional communicator — this person works daily with Sourcing, Sales, Finance, and Product

## Nice to Have

- Experience pricing a two-sided marketplace (a cost/supply side and a demand/sell side), not just a single-sided product
- Background in AI training data, or market data

## Benefits

- Bi-annual performance bonus structure
- Generous equity grant vested over 4 years
- Up to $15k Relocation bonus
- $10K proximity 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

- [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
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- [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
- [GTM Recruiter](https://feeny.ai/job/gtm-recruiter-mercor-mercor-hq-69mmwz3epxe8) — Mercor HQ, 181 Fremont Street