About the role
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.
About
the Role At Crusoe, the Capacity Planning & Efficiency team operates at the critical intersection of all Crusoe products, services, and underlying physical infrastructure. This role focuses specifically on the end-to-end forecasting, optimization, and lifecycle management of Compute (CPUs) and Storage architectures (including File, Object, and Block storage) across Crusoe Cloud’s infrastructure topology. You will be part of a team optimizing global and regional capacity plans at various altitudes to balance service levels, performance tiers, capital constraints, and financial targets. This role is uniquely positioned to maximize server and storage fleet utilization with company-wide impact, directly supporting Crusoe’s mission to align the future of computing with environmental sustainability. The ideal candidate will collaborate deeply across cloud engineering, product management, and supply chain teams to scale one of the world's most innovative AI-first clouds. What You'll Be Working On End-to-End Capacity Modeling: Own and manage the multi-quarter capacity plans and allocation models for core infrastructure resources across Compute (CPUs) and multi-tiered Storage platforms (File, Object, and Block arrays). Demand Forecasting & Signal Analysis: Analyze demand signals, historical workload profiles, customer usage shifts, and product roadmaps to build highly precise resource consumption forecasts to guide strategic hardware placement strategies. Cross-Functional Collaboration: Partner closely with Sales, Storage Engineering, Server Hardware Engineering, SRE, Product, Finance, and Supply Chain to translate high-level product forecasts into physically deployed hardware allocations while navigating global procurement lead times. Efficiency & Financial Optimization: Interface directly with Finance and Product to tightly balance structural cost efficiency, infrastructure unit economics, depreciation schedules, and hardware utilization targets against technical availability cushions. Automation
