Manager, Finance - Data Center Utilization

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.

We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.

We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.

If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.

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

• 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

• Technical curiosity to pick up unfamiliar infrastructure concepts quickly

• SQL proficiency, or similar, to pull and validate data yourself

• Experience partnering with Product Management on pricing or product decisions

• Enough contract fluency to work through what's allowed under existing customer agreements

• Comfort holding a position under pressure from stakeholders who want to move faster than the risk picture supports

• Familiarity with GPU cloud economics

• Knowledge of data center design and utilization metrics

• Experience with interruptible, spot, or committed-use pricing models