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Crusoe Energy Systems

IC Capacity Planning Manager

Posted 13 Hours Ago
Be an Early Applicant
Remote
Hybrid
2 Locations
220K-245K Annually
Mid level
Remote
Hybrid
2 Locations
220K-245K Annually
Mid level
Manage capacity planning for Crusoe's AI cloud infrastructure by analyzing usage, customer demand, and financial trends to optimize performance and scalability.
The summary above was generated by AI

Crusoe is building the World’s Favorite AI-first Cloud infrastructure company. We’re pioneering vertically integrated,  purpose-built AI infrastructure solutions trusted by Fortune 500 companies to power their most advanced AI applications. Crusoe is redefining AI cloud infrastructure, with a mission to align the future of computing with the future of the climate. Our AI platform is recognized as the "gold standard" for reliability and performance. Our data centers are optimized for AI workloads and are powered by clean, renewable energy.

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

About the Role:

Crusoe’s Capacity Planning & Efficiency team plays a critical role in optimizing the performance and scalability of infrastructure supporting all Crusoe products and services. This includes compute, network, and storage systems, with a focus on enabling the rapid growth of our AI Cloud platform. The team works closely with our Data Center Design group, aligning resource planning with physical infrastructure constraints such as site availability, power, and rack space.

As a Capacity Planning Manager, you will serve as a key technical contributor, responsible for developing and driving data-informed infrastructure capacity plans. You’ll help shape Crusoe’s scaling strategies by integrating business forecasts, system constraints, and service demand patterns into actionable models. This is a high-impact individual contributor role that requires deep analytical acumen, technical infrastructure understanding, and cross-functional collaboration.

A Day In The Life:

  • Build and maintain capacity plans across compute, network, and storage for Crusoe’s cloud and AI infrastructure.

  • Conduct scenario modeling using business and technical data to support investment timing and infrastructure scaling.

  • Contribute to the evolution of Crusoe’s capacity planning processes, tooling, and methodologies.

  • Identify and address infrastructure inefficiencies and capacity risks using data-driven analysis.

  • Forecast infrastructure demand by analyzing usage trends, growth signals, and product roadmaps.

  • Partner with product and GTM teams to integrate customer demand and sales pipelines into planning efforts.

  • Collaborate cross-functionally with hardware, SRE, network engineering, supply chain, and data center teams to optimize system-level decisions.

  • Work with Finance to model tradeoffs between performance, capacity, and cost efficiency.

  • Define planning assumptions, gather input data, and build models that guide long-term strategy and tactical deployments.

  • Shape tooling requirements for internal planning dashboards and partner with engineers to implement improvements.

  • Monitor infrastructure usage and capacity shifts through dashboards, proactively flagging bottlenecks or overages.

  • Analyze customer usage patterns, revenue trends, and financial reports to inform capital planning and utilization forecasts.

  • Aggregate and validate data inputs from various sources to drive accurate and scalable planning models.

  • Independently drive high-complexity planning initiatives with strong technical and business grounding.

  • Apply structured, quantitative thinking to ambiguous infrastructure scaling problems.

  • Communicate findings effectively across technical and non-technical audiences, ensuring planning alignment and shared understanding.

You Will Thrive In This Role If You Have:

  • Experience analyzing infrastructure usage, customer demand, and financial trends to inform scalable capacity planning.

  • A track record of working cross-functionally with product, engineering, and finance to drive data-informed planning.

  • Demonstrated ability to independently manage complex technical planning efforts from problem definition through solution.

  • Deep analytical skills and a data-first approach to solving infrastructure scaling and optimization problems.

  • Strong communication and collaboration skills across technical and business stakeholders.

  • A Bachelor’s or Master’s degree in a quantitative or engineering field (e.g. Computer Science, Data Science, Operations Research), or equivalent professional experience.

Benefits:

  • Industry competitive pay

  • Restricted Stock Units in a fast growing, well-funded technology company

  • Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents

  • Employer contributions to HSA accounts

  • Paid Parental Leave

  • Paid life insurance, short-term and long-term disability

  • Teladoc

  • 401(k) with a 100% match up to 4% of salary

  • Generous paid time off and holiday schedule

  • Cell phone reimbursement

  • Tuition reimbursement

  • Subscription to the Calm app

  • MetLife Legal

  • Company paid Commuter FSA benefit of $200 per month

Compensation Range

Compensation will be paid in the range of $220,000 - $245,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.

Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.


#BI-Remote

Top Skills

Ai Infrastructure
Capacity Planning
Cloud Infrastructure
Data Analysis
Financial Modeling
Scenario Modeling

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