CoreWeave
Finance / FinServ
FinancialAnalyst
Neural analysis suggests this role is
optimal for Mid candidates.
“Financial Analyst at CoreWeave. Skills: Financial forecasting, Cost-to-serve modeling, Unit economics, Margin analysis, AI-assisted workflow development. Own the rolling forecast for serverless inference revenue, third-party hosting spend, and SaaS product P&Ls. Build and maintain GPU utilization-to-margin models”
What You'll Achieve.
Drive decisions across the business with financial intelligence; Accelerate breakthroughs and turn compute into capability; Surface real-time breakeven signals across hardware configurations and customer workloads; Identify margin risk at renewal
Industry & Context.
Pull on a thread until you understand the real driver; Treat an undefined problem as an invitation, not an obstacle
Requires access to export controlled information. Applicant must be a U.S. person (U.S. citizen or national, U.S. lawful permanent resident, refugee, or asylee) or eligible to access export controlled information without required authorization, or eligible and reasonably likely to obtain required export authorization.
What They're Looking For.
Must Have
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
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
What You'll Do.
Own the rolling forecast for serverless inference revenue
third-party hosting spend
and SaaS product P&Ls
Build and maintain GPU utilization-to-margin models
Develop customer-level cost-to-serve intelligence for SaaS products
Support the deal desk with rapid margin modeling for new hosting and inference contracts
Design and deploy AI-assisted workflows that automate data assembly
variance narrative drafting
and forecast refresh cycles
How You'll Work.
Team & Collaboration
Partner directly with product, sales, and engineering to translate infrastructure economics into actionable financial insight; Partner cross-functionally with product, sales engineering, and infrastructure to ensure financial models reflect operational reality; Teams also gather quarterly to support collaboration
Communication Scope
Presenting financial analysis to senior stakeholders; Ability to distill complex model outputs into clear commercial narratives
Full Job Description
CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com. About the Team 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. 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. What You’ll Do 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-se
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