Staff Product Manager, AI Infrastructure (Fleet Management)

• Own the vision and product strategy for fleet management, including provisioning, burn-in, lifecycle management, health monitoring, maintenance orchestration, and performance optimization
• Drive outcomes across the entire product lifecycle, from discovery through launch and iteration, for fleet management capabilities
• Define product direction for systems managing large-scale GPU and CPU infrastructure, ensuring reliability, utilization, and operational efficiency
• Lead cross-functional initiatives spanning engineering, infrastructure operations, networking, and customer success to deliver integrated fleet management solutions
• Build consensus with tech leads and engineering managers on architecture decisions, tooling investments, and operational process improvements
• Identify opportunities to improve fleet utilization, reduce operational overhead, and enhance observability through product innovation
• Translate customer-facing reliability and performance impact, gathered through customer success, into product requirements
• Mentor other product managers and engineers, sharing expertise in infrastructure operations and complex systems thinking

• 6+ years of product management experience delivering infrastructure or platform products, with demonstrated ownership of complex, cross-functional initiatives
• Deep expertise in fleet management concepts including provisioning, lifecycle management, monitoring, and operations at scale
• Strong understanding of distributed systems, server hardware, and infrastructure automation
• Proven ability to solve ambiguous, novel problems requiring research, invention, and creative analysis
• Experience driving product vision for complex systems with long-term strategic impact, balancing technical tradeoffs and operational requirements
• Track record of building consensus across engineering, operations, and infrastructure teams on technical direction and investment priorities
• Strong analytical skills interpreting operational metrics, performance data, and utilization patterns to guide product decisions
• Excellent communication skills articulating technical concepts and connecting them to business outcomes
• Experience mentoring colleagues in product management or technical roles

• Experience with large-scale GPU infrastructure or AI/ML platform operations
• Familiarity with infrastructure automation tools, orchestration systems (Kubernetes, Slurm), or configuration management platforms
• Experience with observability platforms, monitoring systems, or incident management workflows
• Knowledge of hardware lifecycle management, predictive maintenance, or capacity planning systems

Benefits

• Competitive compensation
• Restricted Stock Units
• Paid time off & paid holidays
• Comprehensive health, dental & vision insurance
• Employer contributions to HSA account
• Paid parental leave
• Paid life insurance, short-term and long-term disability
• Professional development & tuition reimbursement
• Mental health & wellness support
• Commuter benefits (parking & transit)
• Cell phone stipend
• 401(k) Retirement plan with company match up to 4% of salary
• Volunteer time off

Compensation Range

Compensation will be paid in the range of up to $215,000-$260,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data.

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.

We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.