Principal Product Manager AI Infrastructure Storage

Crusoe is an active AI-infrastructure company operating an AI cloud platform, managed AI services, and AI data-center infrastructure.

Series E14 current maintainers9 active leads5 lead step-downs
Denver, United States
About Crusoe, Inc.

Crusoe designs, builds, and operates energy-first AI infrastructure. Its offerings include Crusoe Cloud for GPU-based training, fine-tuning, inference, and managed services, alongside AI-optimized data centers and energy infrastructure.

View jobs by Crusoe, Inc.

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will own the long-term storage architecture, roadmap, vendor strategy, technology direction, and platform targets for AI infrastructure. You will define storage tiers and architecture, evaluate storage hardware and software investments, plan for larger AI clusters, prioritize structural improvements, scout emerging technologies, and communicate technical decisions to leadership.

Requirements

  • Bachelor’s degree in electrical engineering, computer science, or a related field
  • 8+ years of technical product management or product-minded infrastructure engineering experience focused on cloud storage or related infrastructure
  • Storage subject-matter expertise
  • Understanding of hyperscale block, file, and object storage architectures
  • Experience managing vendor strategy and evaluating in-house storage hardware and software investments
  • Understanding of infrastructure economics, cost per usable TB, and capacity efficiency
  • Ability to use data for multi-year infrastructure decisions
  • Ability to communicate technical tradeoffs to engineering leadership and executives

Responsibilities

  • Define the storage vision and roadmap across storage tiers
  • Own long-term storage architecture and hierarchy
  • Own vendor management and technology strategy for the storage stack
  • Set platform performance, durability, cost, and capacity-efficiency targets
  • Own architecture for larger AI clusters and fleet scale
  • Identify architectural limitations and prioritize long-term investments
  • Define product requirements and business rationale for foundational investments
  • Scout emerging storage technologies and vendors
  • Represent storage foundations in leadership reviews

Benefits

  • Equity packages
  • Restricted Stock Units
  • Paid time off, holidays, and leave programs
  • Health, dental, and vision insurance
  • Employer HSA contributions
  • Paid parental leave
  • Paid life insurance
  • Short-term and long-term disability insurance
  • Professional development and tuition reimbursement
  • Mental health and wellness support
  • Commuter benefits
  • Cell phone stipend
  • 401(k) matching up to 4% of salary
  • Volunteer time off
  • Global travel insurance and emergency assistance
  • Daily meals allowance