Finance Manager – Infrastructure, Capacity

This is a fully remote position, open to applicants in United States.

📋 Description

• Maintain an up-to-date overview of available capacity across various GPU types and datacenters.

• Act as the definitive source for the company regarding available, sold, and forthcoming capacity.

• Collaborate with Sales and Infrastructure to optimize fill on forthcoming capacity tranches.

• Oversee fleet utilization and tackle issues related to underperforming SKUs, datacenters, and node groups.

• Assess GPU ownership models, including revenue share, leasing, and direct purchase options.

• Anticipate cash needs and take ownership of the capacity capex strategy.

• Analyze the revenue implications of bring-up timing and calculate costs associated with delays.

• Evaluate and track investments in non-GPU infrastructure, such as storage and CPU capacity.

• Develop fleet unit economics, detailing contribution margins by GPU type, datacenter, and host.

• Establish pricing floors and return thresholds for capacity-related decisions.

• Assist in commercial negotiations with hosts and datacenter partners.

• Model term sheets, revenue-share distributions, and lease economics.

• Conduct scenario and risk assessments on the supply portfolio.

• Manage capacity reporting dashboards and perform post-commitment variance analyses.

• Report directly to Runpod's Director of Finance and collaborate with Infrastructure, Data Center Operations, and Sales teams.

⛳️ Requirements

• A minimum of 4 years of experience in finance, FP&A, corporate development, or a comparable analytical role.

• Strong foundation in financial modeling and forecasting techniques.

• Advanced skills in Excel/Google Sheets modeling, including capex, cash flow, and return analysis (NPV, IRR, payback).

• Proficient in handling large operational datasets and utilizing BI tools.

• Ability to drive ambiguous projects to completion with minimal oversight.

• Excellent negotiation and communication skills, capable of translating data into actionable insights for business stakeholders.

• Successful completion of a background check is required.

• Experience in a high-growth startup or venture-backed technology firm is preferred.

• Experience in underwriting capital-intensive investments is preferred.

• Familiarity with lease-versus-buy analysis, equipment financing, or revenue-share frameworks is preferred.

• Background in capacity, supply, or fleet planning is preferred.

• Proficiency in SQL or hands-on experience with querying large operational datasets is preferred.

• Understanding of US GAAP, particularly lease accounting (ASC 842) and fixed assets is preferred.

• Experience in the AI infrastructure, cloud, or data center sectors is preferred.

• Must be eligible to work in the United States; Runpod is currently unable to sponsor employment visas.

🏝️ Benefits

• Significant equity in a rapidly growing company; all team members are granted stock options.

• Comprehensive medical, dental, and vision plans.

• Flexible paid time off (PTO).

• Remote-first work culture.

• $1,200 stipend for home office and equipment expenses.

• A dedicated team focused on AI infrastructure, offering opportunities for learning and ownership.