Financial Analyst

About the role

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.

Responsibilities

• 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

Requirements

• 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

Qualifications

• Preferred: 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

Skills

• Expertise in Excel or Google Sheets
• Ability to build cost-to-serve or unit economics models
• Experience translating infrastructure or cloud billing data into financial P&L line items
• Strong presentation and communication skills
• Experience with AI-assisted analytical workflows
• Experience with ARR-based SaaS metrics and subscription revenue modeling

Benefits

• Medical, dental, and vision insurance - 100% paid for by CoreWeave
• Company-paid Life Insurance
• Voluntary supplemental life insurance
• Short and long-term disability insurance
• Flexible Spending Account (FSA)
• Health Savings Account (HSA)
• Tuition Reimbursement
• Ability to participate in Employee Stock Purchase Program (ESPP)
• Mental Wellness Benefits through Spring Health
• Family-Forming support provided by Carrot
• Paid Parental Leave
• Flexible, full-service childcare support with Kinside
• 401(k) with a generous employer match
• Catered lunch each day in our office and data center locations
• A casual work environment
• A work culture focused on innovative disruption