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 San Francisco, San Jose, or Bellevue office location 4 days per week; Lambda’s designated work from home day is currently Tuesday.
About the Role
As a member of the DC / Infrastructure Finance team, you will report to the Manager of DC / Infrastructure Finance and partner with Data Center Development, Data Center Operations, and Program Operations. You will maintain visibility into site costs, cash requirements, and investment performance from development through deployment and operations, helping leaders manage budgets, evaluate tradeoffs, and deliver capacity efficiently.
What You'll Do
Data Center Development Budgets
Build and maintain project budgets for data center construction, site improvements, power and cooling infrastructure, and commissioning in partnership with project owners
Track actual costs, contractor commitments, change orders, and remaining scope against approved budgets; maintain estimates to complete and forecast total project costs
Evaluate contingency usage and changes in scope or schedule, flag potential overruns, and recommend corrective actions
Deployment Timing and Cash Forecasting
Translate construction milestones, contractor payment schedules, and commissioning plans into project cash forecasts
Model the financial impact of delays, phased deployments, and changes in capacity readiness; coordinate equipment assumptions with Supply Chain Finance
Own site and construction payment forecasts as inputs to the consolidated cash forecast for Corporate FP&A and Treasury, clearly separating changes in total cost from changes in payment timing
Data Center Operating Costs
Own site operating cost forecasts and budget versus actual analysis across power, colocation, rent, maintenance, and other infrastructure costs
Build driver-based models using contracted capacity, energized capacity, deployed GPUs, power consumption, and operating assumptions
Explain cost and margin variances caused by deployment ramps, power rates, capacity utilization, and contract terms; identify opportunities to improve efficiency
Investment Economics and Performance
Support financial evaluation of new sites, expansions, and infrastructure commitments, including project returns, payback, and sensitivity analysis
Analyze capital cost per MW, operating cost per GPU hour, and other site economics using consistent cost definitions and assumptions
Own site-level models for investment committee reviews and post-investment assessments, incorporating equipment cost inputs from Supply Chain Finance and comparing project costs, deployment timing, and operating performance with approved investment assumptions
Planning and Accounting Partnership
Develop site and project inputs for the annual operating plan, quarterly forecasts, and long-range infrastructure plan
Partner with Accounting on accrual inputs, cost coding, and lease accounting (ASC 842) inputs to improve the accuracy of project and operating cost reporting
Own facility in-service timing, from construction in progress to placed in service, as an input to the infrastructure depreciation forecast
Work with Supply Chain Finance to reconcile site infrastructure and equipment budgets, preventing gaps or double counting in consolidated deployment costs
Reporting and Process Improvement
Prepare clear project and site reporting for business reviews, executive discussions, and Board materials, highlighting financial risks and decisions needed
Connect project schedules, commitments, and financial actuals using the team’s shared commitments data (purchase orders, invoices, and payments) in repeatable reporting and planning tools
Build and maintain repeatable models and workflows in Pigment and AI-assisted tools, reducing manual spreadsheet work
Improve the quality and consistency of infrastructure data, forecasts, and reporting as Lambda scales its data center portfolio
You
Have a Bachelor’s degree in Finance, Accounting, Economics, or a related field
Have 4+ years of experience in FP&A, project finance, infrastructure finance, or a related analytical role
Have experience managing project budgets, capital spending forecasts, or operating cost models in data centers, construction, energy, telecom, or another capital-intensive business
Understand how project commitments, actual costs, estimates to complete, and payment timing translate into financial forecasts
Possess strong financial modeling and Excel skills, including the ability to build driver-based models and evaluate investment returns and scenarios
Are comfortable working in enterprise planning systems and building repeatable, automated workflows rather than one-off spreadsheets
Can reconcile financial and operational data, identify the causes of variances, and turn findings into practical recommendations
Communicate clearly with finance, engineering, construction, and operations stakeholders
Are comfortable working independently in an ambiguous, fast-paced environment while managing multiple projects and deadlines
Nice to Have
Experience supporting data center development, construction, or commissioning, including estimate-to-complete and contingency tracking
Familiarity with colocation and lease contracts, ASC 842 lease accounting, or power procurement and PPAs
Exposure to project finance, SPV structures, or powered land development
Familiarity with GPU infrastructure, site capacity metrics (MW, PUE), or cloud infrastructure unit economics
Working proficiency in SQL or BI tools, and experience with Pigment, NetSuite, or Coupa
Prior experience in a startup or high-growth organization
Salary Range Information
The annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description.
About Lambda
Founded in 2012, with 500+ employees, and growing fast
Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
Our values are publicly available: https://lambda.ai/careers
We offer generous cash & equity compensation
Health, dental, and vision coverage for you and your dependents
Wellness and commuter stipends for select roles
401k Plan with 2% company match (USA employees)
Flexible paid time off plan that we all actually use
Equal Opportunity Employer
Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.