Staff Integrated Capacity Planner

Crusoe Energy Systems

Seattle, United States Posted October 20, 2026

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On-site Full-time Senior
Salary Range

$200,000 - $240,000

Job Description

Join Crusoe, a company dedicated to aligning the future of computing with environmental sustainability. As a Staff Integrated Capacity Planner, you will own the integrated planning system that turns long-range strategy into a committed, buildable, fundable plan. You will run the end-to-end planning rhythm across every resource class and partner directly with Finance to translate the capacity plan into demand capex and opex forecasts. This role offers a unique opportunity to maximize fleet utilization with company-wide impact.

  • Posséder le système de planification intégré, en assurant la liaison entre la stratégie à long terme et le plan de construction.
  • Diriger le cycle de planification de bout en bout pour chaque classe de ressources, y compris le GPU, le stockage, le réseau et l'alimentation.
  • Collaborer directement avec les finances pour traduire le plan de capacité en prévisions de dépenses en capital et d'exploitation.
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • Direct experience planning GPU clusters and accelerated AI computing fabrics at scale
  • Hands-on quantitative modeling skill - SQL, Python, or optimization and simulation methods applied to constrained allocation problems
  • Experience building or defining foundational product requirements for custom in-house planning, provisioning, or capacity modeling software
  • Experience standing up an S&OP or integrated business planning function from scratch, including the cadence, data model, and decision forums
Required Skills
supply chain data science communication leadership distributed systems demand planning project management Excel audit SQL Python
How to apply

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