Staff Compute & Storage Capacity Planner

About the role

The Capacity Planning & Efficiency team at Crusoe operates at the intersection of all Crusoe products, services, and underlying physical infrastructure. This role focuses on the end-to-end forecasting, optimization, and lifecycle management of Compute (CPUs) and Storage architectures (including File, Object, and Block storage) across Crusoe Cloud's infrastructure topology.

This role is uniquely positioned to maximize server and storage fleet utilization with company-wide impact, directly supporting Crusoe's mission to align the future of computing with environmental sustainability.

Responsibilities

• Own and manage the multi-quarter capacity plans and allocation models for core infrastructure resources across Compute (CPUs) and multi-tiered Storage platforms (File, Object, and Block arrays).
• Analyze demand signals, historical workload profiles, customer usage shifts, and product roadmaps to build highly precise resource consumption forecasts to guide strategic hardware placement strategies.
• Partner closely with Sales, Storage Engineering, Server Hardware Engineering, SRE, Product, Finance, and Supply Chain to translate high-level product forecasts into physically deployed hardware allocations while navigating global procurement lead times.
• Interface directly with Finance and Product to tightly balance structural cost efficiency, infrastructure unit economics, depreciation schedules, and hardware utilization targets against technical availability cushions.
• Define operational metrics, establish planning baseline standards, and partner with Software Engineering teams to architect, automate, and implement automated capacity workflows and real-time visualization dashboards.
• Perform complex data mining and verification across raw hardware usage metrics, asset management databases, and financial billing pipelines to guarantee maximum structural accuracy in capital efficiency models.

Requirements

• Proven Capacity Domain Expertise: 3+ years of direct experience in Infrastructure Capacity Planning, Infrastructure Systems Engineering, or Technical Product Management with heavy exposure to compute and storage.
• Deep Hardware & Architecture Familiarity: Demonstrated foundational technical knowledge of enterprise server configurations, CPU sizing/benchmarking, and storage across File, Object, and Block storage infrastructures.
• Hyper-Growth Experience: Experience working inside high-growth, fast-paced public cloud environments or massively distributed systems topologies.
• Excellent Communication: Strong structured narrative delivery, documentation, and cross-functional negotiation skills to successfully bridge alignment across engineering technicalities and business/financial constraints.

Qualifications

• Bachelor’s or Master's degree in Computer Engineering, Computer Science, Operations Research, Mathematics, Data Science, or an equivalent technical/quantitative field.
• Bonus Points: Experience building or defining foundational product requirements for custom in-house software automation tools used for machine-level monitoring, resource provisioning, or automated capacity modeling.
• Willingness and capacity to scale scope into specialized GPU clusters and cutting-edge accelerated AI computing fabrics as the underlying infrastructure footprint expands.

Skills

• Strong analytical and problem-solving skills.
• Experience with cloud infrastructure and virtualization technologies.
• Knowledge of financial modeling and budgeting.
• Ability to work effectively in a fast-paced, dynamic environment.

Benefits

• Competitive compensation package including base salary, bonus, and equity options.
• Health, dental, and vision insurance.
• 401(k) retirement plan with company match.
• Flexible work schedule and remote work options.
• Professional development opportunities and training programs.

Pay

$195,000 - $235,000 + Bonus

Schedule

Full-time, Monday through Friday, with occasional evening and weekend work as needed.