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
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.
