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Senior Capacity Planning Manager

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Crusoe
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Data Science Manager, Cloud Computing, Systems Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Senior Staff Capacity Planning Manager

Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.

Be a part of the AI revolution with sustainable technology e, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.

About This Role

Join Crusoe Energy as a Capacity Planning Manager, a pivotal role providing critical leadership to our Capacity Planning & Efficiency team. You will drive the effective forecasting, allocation, and optimization of resources essential for our AI cloud and data center expansion. This position uniquely balances service, infrastructure, financial, and business constraints to scalably manage exceptions and achieve company-level impact. You will collaborate across diverse engineering and business teams, directly shaping Crusoe’s ability to efficiently plan, optimize, and expand its cloud capabilities while upholding our unwavering commitment to sustainability and operational excellence.

This is a full-time position.

What You'll Be Working On
  • Scale Infrastructure Resources: Own and manage services and plans to efficiently scale compute, network, and storage infrastructure.

  • Drive Executive Decision-Making: Develop and analyze business and technical data and scenarios to inform high-level executive decisions regarding infrastructure and Crusoe products.

  • Execute Capacity Planning: Implement end-to-end capacity planning processes, methodologies, and data to deliver optimized and executable capacity plans.

  • Proactively Address Issues: Identify and build solutions for capacity-related challenges, ensuring timely resolution.

  • Forecast and Manage Deployment: Understand demand sources and trends to generate accurate forecasts, analyze changes, and develop strategic deployment plans.

  • Partner for Optimal Scaling: Collaborate with product and Go-To-Market/Sales teams to align on demand signals and requirements, ensuring optimal infrastructure scaling and service placement.

  • Optimize Across Engineering: Partner across the engineering landscape to optimize at the intersection of hardware, infrastructure, and software, working closely with service owners, SRE, and hardware teams.

  • Balance Cost and Product: Work with the Finance team to balance cost efficiency with technical and product considerations.

  • Drive Strategic Change: Define problem statements, collect data, build analytical models, and recommend changes to drive strategic optimization.

  • Improve Planning Efficiency: Define and implement improvements to planning efficiency and quality, partnering with software engineers for development.

  • Monitor Capacity: Drive the requirements and development of capacity dashboards to monitor and proactively manage capacity shifts.

  • Analyze Financial Data: Analyze customer usage, revenue trends, and financial reports, contributing to budget planning and assessing capacity impact.

  • Model Capital Efficiencies: Gather data from functional groups, mine large volumes of information, and create models to drive capital and operational efficiencies.

What You'll Bring to the Team
  • Educational Foundation: Possess a Bachelor’s or Master’s degree in Mathematics, Computer Engineering, Computer Science, Operations Research, Data Science, or equivalent professional experience.

  • Capacity Planning Expertise: Bring 3+ years of experience in Capacity Planning or Demand Planning within a related field.

  • Dynamic Environment Adaptability: Thrive in fast-paced environments, effectively collaborating with multidisciplinary teams.

  • Exceptional Problem-Solving: Demonstrate exceptional problem-solving skills and a data-driven approach to decision-making.

  • Strong Communication &

    Collaboration:

    Exhibit excellent communication, presentation, and collaboration abilities to work effectively with internal and external stakeholders.

Bonus Points
  • Advanced Degree: A Master's degree in Mathematics, Data Science, Operations Research, or another technical field.

Benefits
  • Industry competitive pay
  • Restricted Stock Units in a fast growing, well-funded…
Position Requirements
10+ Years work experience
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