Financial Analyst, CoreWeave

• 3–6 years of experience in FP&A, investment banking, or a quantitative finance role with demonstrated ownership of complex, multi-driver forecast models
• Advanced proficiency in Excel or Google Sheets, including dynamic model architecture, scenario analysis, and structured variance frameworks
• Demonstrated ability to build cost-to-serve or unit economics models (e.g. gross margin by product, customer, or SKU) from first principles
• Experience translating infrastructure or cloud billing data (e.g. AWS Cost Explorer, GCP billing exports) into financial P&L line items
• Track record of presenting financial analysis to senior stakeholders, with the ability to distill complex model outputs into clear commercial narratives
• Bachelor’s degree in Finance, Economics, Engineering, Computer Science, or a quantitatively rigorous field
• We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams — even if you aren’t a 100% skill or experience match
• Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk
• You love to pull on a thread until you understand the real driver — you’re not satisfied with a number until you know what’s underneath it
• You’re curious about how AI infrastructure actually works and how the economics of compute translate into product margin
• You’re an expert in building models that other people can actually use — structured, auditable, and built to last beyond the first deliverable
• You find yourself reaching for new tools — Python, AI assistants, BI platforms — when spreadsheets start slowing you down
• You’re energized by ambiguity and treat an undefined problem as an invitation, not an obstacle

Desirable

• CoreWeave’s FP&A team sits at the intersection of AI infrastructure and commercial strategy. We are a lean, high-ownership group responsible for forecasting, product economics, and the financial intelligence that drives decisions across the business. We move fast, build real models, and operate as a true business partner to every product and go-to-market team in the company
• This role will own the financial coverage and support for CoreWeave’s serverless product suite
• Day-to-day you will build and maintain forecasting models, develop cost-to-serve frameworks that connect GPU utilization to product-level margin, and support deal evaluation for new commercial agreements
• You will partner directly with product, sales, and engineering to translate infrastructure economics into actionable financial insight, and you will be expected to leverage AI tooling to automate routine analytical workflows so your time stays focused on judgment-intensive work
• This is a high-visibility role on a small team, and your output will go directly to senior leadership
• Own the rolling forecast for serverless inference revenue, third-party hosting spend, and SaaS product P&Ls — including variance analysis and monthly reporting to finance leadership
• Build and maintain GPU utilization-to-margin models that surface real-time breakeven signals across hardware configurations and customer workloads
• Develop customer-level cost-to-serve intelligence for SaaS products, mapping infrastructure spend to revenue and identifying margin risk at renewal
• Support the deal desk with rapid margin modeling for new hosting and inference contracts, including sensitivity analysis on key commercial variables
• Design and deploy AI-assisted workflows that automate data assembly, variance narrative drafting, and forecast refresh cycles
• Partner cross-functionally with product, sales engineering, and infrastructure to ensure financial models reflect operational reality