crusoe - Staff Integrated Capacity Planner

• 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. • Supply Chain Fluency: Practical experience with lead times, supplier allocation, buffer strategy, and converting a plan into committed purchase orders and delivered hardware. • Financial Acumen: Comfort operating in capex and opex terms - building demand-driven capital forecasts and defending the numbers in front of Finance and leadership. • Modeling Craft: Expert-level Excel or Google Sheets. You build models other people can inherit, audit, and run without you - clear structure, documented assumptions, versioned, and still trustworthy several quarters after they were built. • Hyper-Growth Experience: Planning inside high-growth public cloud environments or massively distributed systems, where the plan changes and the rhythm still has to hold. • Exceptional Influence & Communication: Structured narrative delivery, crisp documentation, and executive-grade presentations that turn a complex plan into a decision leadership can make in the room. You will run a planning cycle spanning five organizations without managing any of them, and escalate cleanly when alignment is not reachable. • Education: Bachelor's or Master's degree in Computer Engineering, Computer Science, Operations Research, Industrial Engineering, Supply Chain, Mathematics, Data Science, or an equivalent technical field. • Experience standing up an S&OP or integrated business planning function from scratch, including the cadence, data model, and decision forums. • Experience building or defining foundational product requirements for custom in-house planning, provisioning, or capacity modeling software. • Hands-on quantitative modeling skill - SQL, Python, or optimization and simulation methods applied to constrained allocation problems. • Direct experience planning GPU clusters and accelerated AI computing fabrics at scale.