> Markdown version of [/jobs/ext/4472675-finance-manager-infrastructure-capacity](https://www.wearedevelopers.com/jobs/ext/4472675-finance-manager-infrastructure-capacity). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Finance Manager, Infrastructure & Capacity - **Company:** RUNPOD INC - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $140,000.0 - $180,000.0 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Analysis of Variance (ANOVA), Data Centers, SQL Databases, AI Infrastructure, Hardware Infrastructure - **Published:** October 13, 2026 - **Apply:** https://www.builtincolorado.com/job/finance-manager-infrastructure-capacity/11624497?handler=ApplyRedirect ## About the Role * 4+ years of experience in finance, FP&A, corporate development, or a related analytical role, with a 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 to turn raw usage data into decision-ready analysis. * 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. Preferred: * Experience in a high-growth startup or venture-backed technology company. * Experience underwriting capital-intensive investments - GPU fleets, data center capacity, hardware, or other asset-heavy commitments. * Experience with lease-versus-buy analysis, equipment financing, or revenue-share structures. * Experience in capacity, supply, or fleet planning, including utilization and fill modeling. * SQL or hands-on experience querying large operational datasets. * Working knowledge of US GAAP, including lease accounting (ASC 842) and fixed assets. * Experience in the AI infrastructure, cloud, or data center industry. ## Description We're looking for a Finance Manager, Infrastructure & Capacity to own the financial view of Runpod's GPU fleet. This is a hands-on, builder role for someone who wants to stand up processes from scratch rather than maintain an existing playbook. You'll maintain a live picture of available capacity, drive fill on upcoming tranches and utilization across the existing fleet, evaluate various GPU ownership models, forecast cash needs for our infrastructure and capacity, and model the revenue impact of bring-up timing. Reporting to Runpod's Director of Finance, you'll be central to how we decide what capacity to add, where, on what terms, and when. Every dollar of Runpod's revenue runs through capacity we had to acquire, finance, and fill. Your analysis will determine which tranches we commit to, how we structure them, and how quickly they start earning. When a bring-up slips a month or a tranche lands underfilled, you'll be the person who quantifies the cost and drives the fix. You'll have the latitude to build these processes from the ground up, and your judgment on where to focus, automate, or dig deeper will directly influence how the company grows., * Maintain a live view of available capacity across GPU types and datacenters, and serve as the company's source of truth for what we have, what's sold, and what's coming. * Drive fill on upcoming tranches of capacity, partnering with Sales and Infrastructure to line up committed demand ahead of bring-up. * Monitor utilization across the existing fleet, flagging underperforming SKUs, datacenters, and node groups and driving the pricing or placement changes that fix them. * Evaluate alternate methods of GPU ownership - revenue share, leasing, and direct purchase - and recommend the right structure for each opportunity. * Forecast cash requirements for new capacity commitments and existing lease renewals, and own the capacity capex plan. * Model the revenue impact of bring-up timing, tracking schedule slippage against plan and quantifying the cost of delay. * Evaluate and monitor non-GPU infrastructure investments, including storage and CPU capacity. * Build the unit economics of the fleet - contribution margin by GPU type, datacenter, and host - and set the pricing floors and return hurdles that capacity decisions are measured against. * Support commercial negotiations with hosts and datacenter partners, modeling term sheets, revenue-share splits, and lease economics. * Run scenario and risk analysis on the supply book, including GPU price deflation, the contract expiration ladder, host and datacenter concentration, and residual value or redeployment of aging SKUs. * Own the capacity reporting layer - fill, utilization, and margin definitions and dashboards - and the post-commitment variance analysis that measures each tranche against its underwriting case.