Senior FP&A Analyst, Engineering & Product

Lambda•San Francisco, CA

8d•$169,000 - $200,000•Hybrid

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. This position requires presence in our San Francisco or San Jose office location 4 days per week; Lambda's designated work from home day is currently Tuesday.

Requirements

Have a bachelor's degree in Finance, Accounting, Economics, or a related field
Have 4–7 years of experience in FP&A, corporate finance, investment banking, or consulting, ideally with a focus on Cloud / AI infrastructure, SaaS, Data centers, Telecom, Hardware, or industrials
Have direct experience partnering with Engineering or Product organizations on budget, roadmap, and investment decisions
Possess extensive experience in financial modeling and analysis, with a deep expertise in constructing complex financial models and interpreting financial statements to drive strategic decision-making
Have excellent analytical, strategic thinking, and decision-making skills
Possess strong Excel skills and experience with financial software systems
Have the ability to thrive in a fast-paced, high-growth environment, balancing multiple complex projects
Have excellent written and verbal communication skills with the ability to present complex data clearly and concisely
Are a team player with a positive attitude, strong work ethic, and a commitment to continuous improvement
Are able to work in an ambiguous environment with very little direction

Nice To Haves

Prior experience in a startup or high-growth organization, demonstrating adaptability and flexibility to thrive in such environments
Direct experience building or owning a cash flow forecast
Experience with R&D capitalization, new product introduction, or product P&L ownership
Working proficiency in SQL and comfort querying large data sets directly
Familiarity with GPU compute, AI/ML workloads, or cloud infrastructure economics

Responsibilities

Own project-level budgets, spend tracking, and cost-to-complete forecasts for Engineering and Product initiatives
Quantify internal capacity consumption across development, testing, and benchmarking; build and maintain allocation and chargeback methodology
Partner with Infrastructure and Engineering on fleet optimization, including utilization, idle capacity, instance mix, and reclamation opportunities
Translate optimization opportunities into quantified savings and track realization against target
Build business cases and ROI models for product and R&D investments
Establish post-investment measurement; track realized returns against the original underwriting
Analyze R&D spend by initiative and support capitalization analysis with Accounting
Provide prioritization frameworks and trade-off analysis for competing investment requests
Serve as the finance partner across the NPI lifecycle, from concept through launch and ramp
Model pricing, unit economics, margin, and volume assumptions for new offerings
Own stage-gate financial deliverables and launch readiness criteria
Track post-launch performance against the launch case and inform go/no-go and scaling decisions
Own OpEx and headcount planning, tracking, and reporting for the Engineering, Product, and Cloud Services organizations
Maintain hiring plans, compensation assumptions, and organizational change tracking against approved headcount
Prepare monthly and quarterly budget vs. actual analysis, identify key drivers, and partner with Engineering and Product leaders to explain performance
Manage vendor, software, and tooling spend; support accrual and reclassification inputs with Accounting through the monthly close
Build and maintain the operating cash flow forecast model, including timing of vendor payments, capacity commitments, and project spend
Own the rolling near-term cash view; reconcile forecast to actuals and explain variances
Model scenarios around deployment timing, payment terms, and financing structures
Partner with Accounting and Treasury on payables timing, prepaids, and commitment schedules
Deliver Cloud Services, Engineering, and Product insights for monthly business reviews, executive reviews, and board materials
Translate complex technical and operational data into clear financial insight
Provide actionable recommendations on cost efficiency, investment prioritization, and margin improvement