Lead, Pricing & Monetization StrategyNew$170K–$240K

Fireworks AI
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The opportunity

Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed,…

What you'll do

  • Develop and evolve our overall pricing and packaging architecture in: partnership with Product, aligning price to the value customers get and simplifying how we sell and how customers buy.

  • Monitor competitor moves, model and hardware cost trends, and shifts in: demand across the inference market, and build playbooks so we can respond quickly and consistently.

  • Build financial and scenario models (revenue, margin, adoption, and: elasticity impact) that give leadership a clear basis for pricing and packaging decisions.

  • Work with Systems, Finance, and Operations teams to implement monetization: strategies across billing, quoting, contracts, and internal tooling.

  • Partner with Sales, Solutions, Marketing, and other GTM teams on ongoing: enablement, including pricing guidance, deal frameworks, discounting guardrails, and training, so the field can sell our pricing with confidence.

  • Serve as the internal subject matter expert on pricing, advising executives: and cross-functional teams and creating a feedback loop from the market and the field back into our strategy.

What they're looking for

  • Hands-on experience designing usage-based, consumption, or hybrid pricing: models for cloud, infrastructure, or developer platforms
  • Familiarity with AI/ML, inference, or cloud infrastructure economics,: including compute costs, gross margin, and capacity considerations
  • Experience implementing pricing in billing, CPQ, and CRM systems, and: partnering with Finance and Revenue Operations
  • Background in a high-growth startup or scale-up environment where pricing and packaging evolve quickly
  • Strong SQL and spreadsheet skills; comfortable working directly with usage and revenue data