Finance Manager, Infrastructure & Capacity

New

RunpodAI infrastructure

Location: Remote - USAFull-TimeManager

SalaryThe competitive base pay for this position ranges from $140,000 - $180,000 USD. $1,200 Home Office & Equipment Stipend

Apply NowOpens the employer's application page

Job Details

Experience: 4+ years of experience in finance, FP&A, corporate development, or a related analytical role
Required Skills: SQLMicrosoft ExcelGoogle Sheets

Have 4+ years of experience in finance, FP&A, corporate development, or a related analytical role.
Bring a strong foundation in financial modeling and forecasting.
Have advanced proficiency in Excel or Google Sheets modeling, including capex, cash flow, and return analysis such as NPV, IRR, and payback.
Be comfortable working with large operational datasets and BI tools to produce decision-ready analysis.
Be able to drive ambiguous initiatives to completion with minimal supervision.
Have strong negotiation and communication skills and be able to translate data into clear recommendations for business stakeholders.
Successfully complete a background check.
Preferred: Experience at a high-growth startup or venture-backed technology company.
Preferred: Experience underwriting capital-intensive investments, such as GPU fleets, data center capacity, hardware, or other asset-heavy commitments.
Preferred: Experience with lease-versus-buy analysis, equipment financing, revenue-share structures, or capacity, supply, or fleet planning.
Preferred: SQL or hands-on experience querying large operational datasets; working knowledge of US GAAP, including ASC 842 and fixed assets; or experience in AI infrastructure, cloud, or data centers.

Maintain a live view of available capacity across GPU types and datacenters, including what is available, sold, and coming.
Drive fill on upcoming capacity tranches by partnering with Sales and Infrastructure to align committed demand before bring-up.
Monitor fleet utilization and drive pricing or placement changes for underperforming SKUs, datacenters, and node groups.
Evaluate revenue share, leasing, and direct purchase models for GPU ownership and recommend structures for opportunities.
Forecast cash requirements for capacity commitments and lease renewals, and own the capacity capex plan.
Model revenue impacts of bring-up timing, track schedule slippage, and quantify the cost of delays.
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, and set pricing floors and return hurdles.
Support commercial negotiations with hosts and datacenter partners by modeling term sheets, revenue-share splits, and lease economics.
Run supply-book scenario and risk analysis, and own capacity reporting, dashboards, and post-commitment variance analysis.

View Full Description & ApplyYou'll be redirected to the employer's site