The opportunity
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.
What you'll do
Long-Range Capacity Planning: Own the multi-year outlook across GPU, compute, storage, network, and the power and site energization schedules that gate all of it, and build the scenario models - demand cases, technology transitions, refresh and decommission waves - that inform where Crusoe commits capital and builds next.
Integrated Business Planning: Run the IBP/S&OP cycle end to end - demand review, supply review, reconciliation, and the executive decision forum. Maintain both the unconstrained demand signal and the constrained committed plan; the gap between them is how Crusoe sizes what it is leaving on the table.
Constraints & Bottleneck Planning: Maintain a live model of what is actually binding - silicon allocation, supplier lead times, power energization, rack and network availability, deployment labor - quantify the impact of each, and drive every mitigation to a decision.
Allocation & Arbitration: Own the framework that decides which demand gets which capacity when supply is short - prioritization rules, trade-off analysis, and a clean escalation path when the call has to go to leadership.
Plan of Record & Operating Calendar: Design and run the planning calendar that synchronizes Cloud Engineering, Supply Chain, Data Center Operations, Product, and Finance. Govern the plan of record - commitment time fences, what is frozen versus still movable, and what triggers a re-plan.
Demand & Bookings Translation: Convert contracted commitments, backlog, ramp schedules, and on-demand growth into resource-level forecasts, including the attach ratios that link GPU capacity to storage, network, and compute. Manage forecast accuracy and bias as owned metrics.
What they're looking for
- Supply Chain Integration: Translate the plan into supplier commitments, purchase timing, and buffer strategy, navigating global lead times and allocation constraints with Supply Chain and Server Hardware Engineering.
- Financial Integration: Interface directly with Finance and Product to drive demand capex and opex forecasts off the capacity plan, own the linkage to unit economics, depreciation schedules, and utilization targets, and explain the variances when plan and actuals diverge.
- Proven Integrated Planning Expertise: 8+ years in infrastructure capacity planning, IBP/S&OP, supply and demand planning, systems engineering, or technical program management, including end-to-end ownership of a recurring planning cycle. Strong candidates come from either deep infrastructure or formal planning backgrounds - we expect to teach the other half.
- Breadth Across Resource Classes: Technical fluency across compute, storage (File, Object, and Block), network, and accelerated computing, plus the power, space, and cooling constraints that govern deployment. Deep expertise in one domain is not required; holding your own with the people who have it is.