Finance Manager - GPU Capacity Planning
CoreWeave
- Location
- Livingston, NJ / New York, NY / Sunnyvale, CA / San Francisco, CA / Bellevue, WA
- Work model
- On-Site
- Level
- Senior
- Salary
- $127k – $168k/yr
- Posted
- 1h ago
Skills
About this role
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.
What You'll Do
The Capacity Finance Team supports the planning, deployment, and operations of the CoreWeave's fleet of data center hardware. Partnering directly with Capacity Planning, Fleet Engineering and Operations teams, Capacity Finance helps forecast CoreWeave's finances and drive profitability by delivering data driven insights related future hardware deployments and fleet operations through a financial lens.
About the role
CoreWeave is seeking a Finance Manager to join our Capacity Finance team. This person will support the Director of Capacity Finance to prepare, analyze, and report financial and operational information to increase financial transparency, drive performance, and promote proactive business planning. This person will work cross-functionally with a variety of stakeholders at all levels of Coreweave and have frequent opportunities to interact with and support key executive level decision makers such as the CFO and COO.
In this role, you will
• Lead GPU capacity planning function within FP&A.
• Drive financial planning and forecasting, including the maintenance, updating, and refining of existing financial forecast models, budget models, and databases.
• Own infrastructure reporting and forecasts, including complex multiregional capital expenditure models and unit economics analysis across a large fleet of computing assets.
• Coordinate closely with Engineering and Operations teams to track, report, and forecast infrastructure-related KPIs.
• Generate monthly, quarterly, and annual reports on financial results, budget variance analysis, scenario analysis, stress tests, and KPI results,