Lead, Pricing & Monetization Strategy
Company websitefireworks.ai (Fireworks AI, opens in new tab)
Base salary $170K to $240K
Employer-published annual base salary, USD. Advertised base range in San Mateo, CA +1 more
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Mateo, CA +1 more
- WorkplaceHybrid
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
All places named
- San Mateo, CA
- New York, NY
About this job
About Us:
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, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
The Role:
We operate at the bleeding edge of the inference market, building entirely new service categories and creating new business models at the forefront of the AI revolution. To bring these to life we need equally innovative monetization strategies that can scale with us as we grow.
We are looking for a Pricing Strategy Director to lead pricing strategy and implementation. You will serve as an internal subject matter expert responsible for the evolution of our pricing models and pricing architecture, aligning price to value, and reducing complexity for our teams and customers. You will work closely with our engineering, product, and GTM teams to accomplish these goals.
What You'll Work On
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 we’re looking for:
Minimum Qualifications
10+ years of professional experience with at least 4 years in pricing, strategy & operations at a B2B software company, or strategy consulting
Highly analytical, with a deep experience building financial and scenario models and turning complex data into clear recommendations
Strategic thinker with strong commercial instincts and a history of linking pricing decisions to business outcomes
Experience with sales and go-to-market strategy, including partnering with field teams on enablement and deal support
Ability to work cross-functionally with Product, Engineering, Finance, Systems, and GTM teams and to influence senior stakeholders
Excellent written and verbal communication
Preferred Qualifications
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
Why Fireworks?
Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally.
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results.
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation.
Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.
Source: Fireworks AI on Ashby · View original posting (opens in new tab)
Pay in context
This role's base floor ($170,000) is above 40% of the 858 Product roles in California listed on this site; 16 others list the same floor. Their median floor is $176,800; the middle half runs from $151,300 to $204,750.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.
This listingLead, Pricing & Monetization Strategy$170K to $240K
Product Manager - Growth$170K to $240K
Member of Technical Staff, Applied Machine Learning Engineer$170K to $240K
Privacy Program Engineer$166K to $175K
Member of Technical Staff, Traffic Infrastructure$175K to $220K
Member of Technical Staff, Full Stack$175K to $220K
Member of Technical Staff, Data Infrastructure$175K to $220K
Chart as a table
| Role | Published base |
|---|---|
| Lead, Pricing & Monetization Strategy (this listing) | $170K - $240K |
| Product Manager - Growth | $170K - $240K |
| Member of Technical Staff, Applied Machine Learning Engineer | $170K - $240K |
| Privacy Program Engineer | $166K - $175K |
| Member of Technical Staff, Traffic Infrastructure | $175K - $220K |
| Member of Technical Staff, Full Stack | $175K - $220K |
| Member of Technical Staff, Data Infrastructure | $175K - $220K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-10-29
Where this pay comes from
Location as the employer wrote it: San Mateo • New York
USD 170,000 – 240,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
