Finance Manager – Infrastructure, Capacity

Job Description:

• Maintain a live view of available capacity across GPU types and datacenters
• Serve as the company's source of truth for available, sold, and upcoming capacity
• Drive fill on upcoming capacity tranches with Sales and Infrastructure
• Monitor fleet utilization and address underperforming SKUs, datacenters, and node groups
• Evaluate GPU ownership models including revenue share, leasing, and direct purchase
• Forecast cash requirements and own the capacity capex plan
• Model revenue impact of bring-up timing and quantify delay costs
• Evaluate and monitor non-GPU infrastructure investments, including storage and CPU capacity
• Build fleet unit economics, including contribution margin by GPU type, datacenter, and host
• Set pricing floors and return hurdles for capacity decisions
• Support commercial negotiations with hosts and datacenter partners
• Model term sheets, revenue-share splits, and lease economics
• Run scenario and risk analysis on the supply book
• Own capacity reporting dashboards and post-commitment variance analysis
• Report to Runpod's Director of Finance and partner with Infrastructure, Data Center Operations, and Sales

Requirements:

• 4+ years of experience in finance, FP&A, corporate development, or a related analytical role
• Strong foundation in financial modeling and forecasting
• Advanced proficiency in Excel/Google Sheets modeling, including capex, cash flow, and return analysis (NPV, IRR, payback)
• Comfort working with large operational datasets and BI tools
• Comfort driving ambiguous initiatives to completion with minimal supervision
• Strong negotiation and communication skills, with the ability to translate data into clear recommendations for business stakeholders
• Successful completion of a background check
• Experience in a high-growth startup or venture-backed technology company preferred
• Experience underwriting capital-intensive investments preferred
• Experience with lease-versus-buy analysis, equipment financing, or revenue-share structures preferred
• Experience in capacity, supply, or fleet planning preferred
• SQL or hands-on experience querying large operational datasets preferred
• Working knowledge of US GAAP, including lease accounting (ASC 842) and fixed assets preferred
• Experience in the AI infrastructure, cloud, or data center industry preferred
• Must be eligible to work in the United States; Runpod is currently unable to sponsor employment visas

Benefits:

• Meaningful equity in a fast-growing company; everyone on the team receives stock options
• Generous medical, dental & vision plans
• Flexible PTO
• Remote-first work environment
• $1,200 Home Office & Equipment Stipend
• Passionate team working on AI infrastructure with learning and ownership opportunities