Senior Pricing Analyst

Lambda•Seattle, WA

3d•Onsite

About The Position

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. Our customers range from AI researchers to enterprises and hyperscalers. Lambda's mission is to make compute as ubiquitous as electricity and give everyone the power of superintelligence. One person, one GPU. If you'd like to build the world's best AI cloud, join us. Note: This position requires presence in our Bellevue or San Jose office locations 4 days per week; Lambda’s designated work from home day is currently Tuesday.

Requirements

Have 8+ years of experience in pricing strategy, infrastructure finance, product finance, or strategic FP&A within a high-growth technology company.
Have deep experience in cloud, AI infrastructure, data center economics, or consumption-based business models.
Have advanced financial modeling expertise (multi-year cash flow models, NPV/IRR, scenario modeling, unit economics).
Demonstrate ownership of pricing decisions influencing large revenue streams and/or capital investments.
Have strong executive communication skills — able to distill complex infrastructure and financial data into clear, decision-ready narratives.
Have experience partnering closely with Sales, Product, Engineering, and executive stakeholders.
Advanced Excel skills (Power Query/Power Pivot strongly preferred); familiarity with SQL and BI tools.
Operates with high autonomy, strong judgment, and a bias toward ownership.

Nice To Haves

Experience pricing GPU infrastructure, AI workloads, or hyperscale cloud services.
Experience supporting Board-level materials or capital allocation discussions.
Familiarity with AWS, Azure, or GCP infrastructure cost structures and pricing models.
Experience leading or mentoring other analysts or building pricing processes from the ground up.

Responsibilities

Define and evolve Lambda’s end-to-end pricing strategy across GPU cloud and AI infrastructure offerings, spanning consumption, subscription, and enterprise models.
Ensure pricing balances growth, margin expansion, hardware lifecycle economics, and competitive positioning.
Lead pricing architecture for complex enterprise agreements, building detailed deal P&Ls and margin guardrails.
Partner with Sales and Product to structure scalable pricing that accelerates adoption while protecting long-term profitability.
Own the financial frameworks connecting GPU/server capex, utilization, hardware refresh cycles, and pricing strategy.
Develop multi-year NPV, ROI, and breakeven models to guide infrastructure investment and lifecycle decisions.
Build integrated multi-year models linking demand forecasts, pricing levers, and margin outcomes.
Design sensitivity analyses to assess revenue and profitability impacts across competitive and market scenarios.
Scale pricing models and reporting through automation and analytics tools to improve speed, accuracy, and governance of pricing decisions.