Financial Analyst

Weights & Biases Weights & Biases · Data AI · Bellevue, WA +3 · Finance

This role is for a Financial Analyst at CoreWeave, an AI infrastructure company. The analyst will focus on the financial coverage and support for the company's serverless product suite, including forecasting, developing cost-to-serve frameworks, and supporting deal evaluation. The role involves building and maintaining financial models, partnering with product, sales, and engineering teams, and leveraging AI tooling for automation. The position is high-visibility and requires strong analytical and modeling skills.

What you'd actually do

  1. 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
  2. Build and maintain GPU utilization-to-margin models that surface real-time breakeven signals across hardware configurations and customer workloads
  3. Develop customer-level cost-to-serve intelligence for SaaS products, mapping infrastructure spend to revenue and identifying margin risk at renewal
  4. Support the deal desk with rapid margin modeling for new hosting and inference contracts, including sensitivity analysis on key commercial variables
  5. Design and deploy AI-assisted workflows that automate data assembly, variance narrative drafting, and forecast refresh cycles

Skills

Required

  • FP&A, investment banking, or a quantitative finance role
  • complex, multi-driver forecast models
  • Advanced proficiency in Excel or Google Sheets
  • dynamic model architecture
  • scenario analysis
  • structured variance frameworks
  • build cost-to-serve or unit economics models from first principles
  • translating infrastructure or cloud billing data into financial P&L line items
  • presenting financial analysis to senior stakeholders
  • distill complex model outputs into clear commercial narratives
  • Bachelor’s degree in Finance, Economics, Engineering, Computer Science, or a quantitatively rigorous field

Nice to have

  • Prior experience at a cloud infrastructure, AI/ML platform, or SaaS company in an Finance/RevOps role
  • Familiarity with Compute infrastructure economics and/or SaaS economics
  • Experience building/developing AI-assisted analytical workflows
  • Experience with ARR-based SaaS metrics and subscription revenue modeling
  • Python
  • AI assistants
  • BI platforms

What the JD emphasized

  • AI tooling to automate routine analytical workflows
  • leverage AI tooling to automate routine analytical workflows
  • AI-assisted workflows