Staff Product Manager, AI Infrastructure (Fleet Management)

Crusoe•San Francisco, CA

2d•$215,000 - $260,000

About The Position

Crusoe is looking for a Staff Product Manager, Fleet Management to own the product strategy and execution for the systems that keep Crusoe's GPU and CPU fleet running reliably and efficiently at scale. This role involves defining how Crusoe provisions, monitors, maintains, and optimizes its server fleet for AI training and inference workloads. The position sits at the intersection of infrastructure operations, engineering, and customer experience, influencing critical aspects like sellable capacity, cluster deployment speed, and workload recovery time. The ideal candidate will be comfortable operating in ambiguity and collaborating with various teams including hardware partners, engineering, infrastructure operations, networking, supply chain, finance, and customer success. As a Staff PM, you will lead significant cross-functional initiatives, influence technical and product strategy, and be accountable for outcomes directly impacting company goals.

Requirements

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.

Nice To Haves

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.

Responsibilities

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.