Pricing and Monetization Manager

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.

Responsibilities

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

Preferred

• 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

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 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

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