---
title: 'Revenue Operations at Mercor'
canonical: 'https://feeny.ai/job/revenue-operations-mercor-san-francisco-jgq6v727w1n0'
type: 'job'
last_seen: '2026-09-12'
---

# Revenue Operations at Mercor

- **Company:** Mercor
- **Location:** San Francisco, CA
- **Compensation:** $150k–$225k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-09-01
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.ashbyhq.com/mercor/7906121d-67b7-481b-bde4-1cd0f4325916/application

**Skills:** SQL, Billing systems, Invoicing systems, CRM platforms, Spreadsheets, Data analysis, Revenue reconciliation, Startup experience, Process building from scratch, Billing models in human data space

> Build scalable revenue operations workflows and systems from scratch, including billing and reporting. Collaborate with Finance, Operations, and Engineering to resolve discrepancies, manage customer procurement and invoicing, and drive data hygiene in a high-growth AI environment.

## 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

Mercor is bringing on our first dedicated Revenue Operations hire to build the foundation of our billing and operational infrastructure. You'll own the end-to-end revenue operations workflow and build scalable, sustainable systems that drive Mercor’s rapid growth. This is a high-impact, foundational role: you won't just be running existing systems, you'll be designing them from scratch. You'll work at the intersection of Finance, Operations, and Engineering, with direct exposure to how our business scales. If you like building order out of ambiguity and want to see your work directly tied to company growth, this is the role.

You’ll also lead collaborative work across multiple members of the team and cross functional partners from operations and engineering who are responsible for day-to-day support of all of GenAI revenue and billing.

## What You'll Do

- Customer Reporting & Analysis: Oversee the accurate tracking of all customer-facing work. Build and maintain dashboards and reports that give leadership clear visibility into revenue health, billing trends, and operational metrics.
- Revenue Reconciliation: Leverage strong analytical skills and AI tools to Investigate and resolve revenue discrepancies by reconciling large datasets across billing systems, CRM, and internal tooling. Identify root causes and implement fixes, not just band-aids.
- Build Scalable Systems and Processes: Design scalable processes from the ground up. Identify manual bottlenecks, scope automation opportunities, and collaborate with Engineering to build tooling that reduces manual operations.
- Data Management: Maintain clean, reliable revenue data. Build and enforce data hygiene practices across the systems that touch revenue (CRM, billing platforms, internal databases).
- Cross-Functional Collaboration: Partner closely with Finance, Operations, and Engineering to ensure alignment on billing logic, contract terms, and reporting. Serve as the connective tissue between teams on anything revenue-related.
- Customer Procurement & Billing: Work with customers to manage contracts and purchase orders for future work. Own the invoicing process across our customer base, ensuring accuracy, timeliness, and clear communication with customers and internal stakeholders.

## What We're Looking For

- 4-10 years of experience in revenue operations, finance operations, accounting, or an analytically rigorous role at a tech company, startup, or professional services firm.
- Strong SQL skills; you should be comfortable writing queries to investigate data issues and pull your own reporting.
- Experience working with billing or invoicing systems, CRM platforms, and spreadsheets at scale, especially at high-growth companies.
- A detail-oriented, systems-thinking mindset. You notice when numbers don't add up and you don't let it go.
- Deep understanding of invoicing processes, monthly close processes, etc.
- Comfort operating in ambiguity.
- A degree ideally in a quantitative or analytical field (e.g., finance, economics, computer science, accounting, math).
- Can-do attitude!

Bonus Points

- Experience at a high-growth startup or in a role where you built rev ops processes from scratch.
- Familiarity with billing models in the human data space.

Compensation & Benefits:

- Competitive salary + meaningful equity (aligned with a venture-backed, rapidly scaling AI company)
- Medical, dental, and vision coverage
- 401(k)
- Monthly meal and wellness stipends
- Excellent in-office culture

## 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)

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