Staff Product Manager (AI Infrastructure, Fleet Management)

• The Staff Product Manager, Fleet Management owns the product strategy and execution for the systems that keep Crusoe’s GPU and CPU fleet running reliably and efficiently at scale
• You’ll define how Crusoe provisions, monitors, maintains, and optimizes its server fleet supporting AI training and inference workloads, translating operational requirements into scalable product capabilities
• This covers the full lifecycle of compute: initial provisioning, firmware and configuration management, burn-in, multi-node testing, health monitoring, maintenance orchestration, repair, and decommissioning
• The role sits at the intersection of infrastructure operations, engineering, and customer experience
• Fleet-level systems determine how much of our capacity is sellable, how fast we can bring new clusters online, and how quickly a customer’s workload recovers when hardware fails
• You’ll be defining the problem space as much as solving it, and you should be comfortable operating in ambiguity, with support from senior leadership as the initiative takes shape
• You’ll collaborate closely with hardware partners, engineering, infrastructure operations, networking, supply chain, finance, and customer success to ensure cohesive lifecycle management across Crusoe Cloud
• As a Staff PM, you’ll lead significant cross-functional initiatives, influence technical and product strategy across multiple teams, and be accountable for outcomes that directly impact company goals
• 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

Benefits

• Health & wellbeing: Comprehensive health benefits designed to support your overall wellness
• Time away: Paid time off for vacations, family bonding, and unexpected needs
• 401(k) match: Build your financial future with our 401(k) matching program
• Mental wellness: Resources and support for your emotional wellbeing and navigating life’s challenges

• Experience driving product vision for complex systems with long-term strategic impact, balancing technical tradeoffs and operational requirements
• Experience mentoring colleagues in product management or technical roles
• Track record of building consensus across engineering, operations, and infrastructure teams on technical direction and investment priorities
• Excellent communication skills articulating technical concepts and connecting them to business outcomes
• Strong understanding of distributed systems, server hardware, and infrastructure automation
• 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
• Proven ability to solve ambiguous, novel problems requiring research, invention, and creative analysis
• Strong analytical skills interpreting operational metrics, performance data, and utilization patterns to guide product decisions
• Familiarity with infrastructure automation tools, orchestration systems (Kubernetes, Slurm), or configuration management platforms
• Experience with large-scale GPU infrastructure or AI/ML platform operations
• Experience with observability platforms, monitoring systems, or incident management workflows
• Knowledge of hardware lifecycle management, predictive maintenance, or capacity planning systems