Finance Manager, Infrastructure & Capacity - Runpod

About Runpod

Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod to experiment, train, fine-tune, deploy, and scale AI on one platform. The platform has processed more than 20 billion inference requests. We closed a $100M Series A and we're at an inflection point for AI infrastructure, building the platform the next generation of developers will depend on.

We're a small, remote-first team. We take ownership seriously, move fast, and ship work that more than a million developers rely on every day. We're looking for people who care deeply, build with urgency, and want to matter at scale.

About the Role

The Finance team at Runpod owns the financial infrastructure that lets the company scale with confidence. This role is our dedicated Finance seat for capacity and infrastructure: GPU supply is our largest cost and the primary constraint on revenue, and you'll own the analytics behind how much capacity we have, how well it's utilized, how we pay for it, and when it comes online.

Your primary stakeholders are the Infrastructure and Data Center Operations teams, alongside Sales on committed demand. Reporting directly to Runpod's Director of Finance, you'll be central to deciding what capacity to add, where, on what terms, and when.

Responsibilities

• Maintain a live view of available capacity across GPU types and datacenters, serving as the company's source of truth for current, sold, and incoming capacity.
• 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 to fix them.
• Evaluate alternate methods of GPU ownership — revenue share, leasing, and direct purchase — and recommend the optimal 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 pricing floors and return hurdles.
• 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, contract expiration ladders, concentration risks, and residual value/redeployment of aging SKUs.
• Own the capacity reporting layer (fill, utilization, margin definitions, dashboards) and post-commitment variance analysis.

Requirements

• 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.
• Eligible to work in the United States without visa sponsorship.

Preferred Qualifications

• Experience in a high-growth startup or venture-backed technology company.
• Experience underwriting capital-intensive investments (GPU fleets, data center capacity, hardware, or 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.

Compensation & Benefits

• Base Salary: $140,000 - $180,000 USD
• Equity: Meaningful stock option grant
• Healthcare: Comprehensive medical, dental, and vision coverage
• Time Off: Flexible PTO
• Work Setup: Remote-first culture
• Stipend: $1,200 Home Office & Equipment Stipend