Revenue Operations

mercor·San Francisco·2mo ago
RevOpsFull-timeOnsiteMid-levelUnited StatesUSD 150K–USD 225K/year

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

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

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.