Staff Product Manager (AI Infrastructure, Fleet Management)

Join Crusoe, a leading company in AI infrastructure and fleet management. As a Staff Product Manager, you will own the product strategy and execution for the systems that keep our GPU and CPU fleet running reliably and efficiently at scale. You will define how we provision, monitor, maintain, and optimize our server fleet, translating operational requirements into scalable product capabilities. This role requires collaboration with various teams and a strong understanding of distributed systems, server hardware, and infrastructure automation.

• Définir la stratégie produit et l'exécution des systèmes de gestion de flotte pour garantir le fonctionnement fiable et efficace de la flotte de GPU et de CPU de Crusoe.
• Collaborer avec des partenaires matériels, des équipes d'ingénierie, d'exploitation des infrastructures, de mise en réseau, de chaîne d'approvisionnement, de finance et de succès client pour assurer une gestion cohérente du cycle de vie.
• Diriger des initiatives transversales significatives, influencer la stratégie technique et produit à travers plusieurs équipes, et être responsable des résultats qui impactent directement les objectifs de l'entreprise.

• 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