Finance Manager (Data Center Utilization)

• Crusoe builds and commits significant data center capacity, power, GPU-hours, and likely other resources as the business grows, and actual usage never fully matches what’s been built or contracted. This role owns the financial and economic thinking behind that gap across the business: finding where committed capacity exceeds real use, sizing what that’s worth, and making the call on how much of it can be safely monetized or reclaimed without taking on too much risk
• Identify and size opportunities where built or committed data center capacity, power, compute, or otherwise, isn’t converting to revenue
• Partner with Capacity Planning, Product Management, and deal desk or legal to understand the technical, contractual, and commercial constraints behind each opportunity
• Translate probabilistic or technical models, built by Capacity Planning or others, into financial terms: expected value, cost of getting it wrong, and a recommended course of action
• Make the call on how much risk to take in exploiting a given gap, and defend that call to stakeholders across engineering, product, and leadership
• Build durable financial frameworks for opportunities once they’re proven out, while still fielding live decisions on things already in motion

Benefits

• Health & wellbeing: Comprehensive health benefits designed to support your overall wellness
• Time away: Paid time off for vacations, family bonding, and unexpected needs
• 401(k) match: Build your financial future with our 401(k) matching program
• Mental wellness: Resources and support for your emotional wellbeing and navigating life’s challenges- Comfort holding a position under pressure from stakeholders who want to move faster than the risk picture supports
• Technical curiosity to pick up unfamiliar infrastructure concepts quickly
• Experience partnering with Product Management on pricing or product decisions
• Enough contract fluency to work through what’s allowed under existing customer agreements
• 5+ years of experience in financial planning, corporate finance, or capital allocation, ideally somewhere capital-intensive (infrastructure, utilities, real estate, or similar) where you’ve weighed committed capacity or capex against risk
• Comfort with probabilistic thinking, distributions, expected value, tail risk, enough to work with a technical model someone else built without needing to build it yourself
• SQL proficiency, or similar, to pull and validate data yourself
• Familiarity with GPU cloud economics
• Experience with interruptible, spot, or committed-use pricing models
• Knowledge of data center design and utilization metrics