Crusoe

TPM / Capacity Planning Manager

Crusoe(1 month ago)

San Francisco, CA, United StatesOnsiteFull TimeManager$170,881 - $223,956 (estimated)Cloud Engineering
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About this role

The Capacity Planning Manager at Crusoe Energy is responsible for leading the Capacity Planning & Efficiency team, focusing on the forecasting, allocation, and optimization of resources for the company's AI cloud and data center expansion. This role requires collaboration across engineering and business teams to develop data-driven capacity plans, address capacity-related challenges, and drive strategic decision-making that aligns with sustainability and operational goals. The manager will utilize strong analytical skills to monitor capacity trends, optimize resources, and balance cost-efficiency with technical considerations.

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Required Skills

  • Capacity Planning
  • Resource Optimization
  • Forecasting
  • Strategic Deployment
  • Executive Decision-Making
  • Problem-Solving
  • Data Analysis
  • Communication Skills
  • Collaboration
  • Infrastructure Management

+4 more

Qualifications

  • Bachelor’s or Master’s degree in Industrial Engineering
  • Bachelor’s or Master’s degree in Mathematics
  • Bachelor’s or Master’s degree in Computer Engineering
  • Bachelor’s or Master’s degree in Computer Science
  • Bachelor’s or Master’s degree in Operations Research
  • Bachelor’s or Master’s degree in Data Science
  • Master's degree in Industrial Engineering (bonus)
  • Master's degree in Mathematics (bonus)
  • Master's degree in Data Science (bonus)
  • Master's degree in Operations Research (bonus)
Crusoe

About Crusoe

crusoe.ai

Crusoe is a leading provider of next-generation AI infrastructure that focuses on renewable-powered cloud computing solutions. By employing an energy-first approach, Crusoe enables businesses to deploy AI workloads at scale while ensuring reliable performance and round-the-clock support. The company is committed to advancing sustainable technology, making it a strategic partner for organizations looking to enhance their AI capabilities in an environmentally conscious manner.

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