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Pricing and Monetization Manager

Mercor· Engineering
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San Francisco$190k - $250kFull-timePosted 4d ago

About the role

Mercor is hiring a Pricing and Monetization Manager to own pricing structures across data types, build pricing models, rate cards, and margin frameworks to ensure pricing is consistent and defensible.

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
  • Acquisition pricing & cost modeling (buy side) - Track competitor bidding behavior and maintain the cost curves that tell us when to pay up to win a corpus and when to walk
  • Acquisition pricing & cost modeling (buy side) - Model fully-loaded cost to serve: acquisition price, extraction, human QC, anonymization/PII, and LLM inference — not just what we pay the vendor
  • Acquisition pricing & cost modeling (buy side) - 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
  • Monetization & margin strategy (sell side) - Build rate cards and tiered pricing for recurring, repeatable data products
  • Monetization & margin strategy (sell side) - Own unit economics per deal and per data product, including transfer pricing, internal chargeback, and direct vs. indirect revenue attribution across account P&Ls
  • Monetization & margin strategy (sell side) - Build the pricing/forecasting toolkit Finance and leadership use to evaluate new data products before launch
  • Monetization & margin strategy (sell side) - Continuously test and refine pricing using win/loss data, renewal behavior, and market feedback

Qualifications

  • 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 — works daily with Sourcing, Sales, Finance, and Product

Skills

Required:Pricing strategy and monetizationFinancial modelingCross-functional collaboration

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
Last updated Oct 21, 2026. Interested? Apply on the company site.

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