Principal Product Manager (Bare Metal)

Join Crusoe, a leading company in the AI-native space, as a Principal Product Manager for our new bare metal offering. In this role, you will own the strategy and outcomes for our bare metal initiative, which provides direct GPU and CPU access to power demanding training and inference workloads. You will work at the intersection of hardware and software, defining the problem space and driving the vision for bare metal compute. You will also design the end-to-end customer experience, ensure alignment between hardware and software layers, and lead cross-functional initiatives. Additionally, you will partner with sales and GTM teams to transform customer feedback into roadmap priorities and represent the bare metal strategy to partners and internal executives.

• Définir la stratégie et les résultats pour l'initiative de bare metal, en conduisant la vision pour le calcul bare metal, y compris les offres GPU/CPU.
• Concevoir l'expérience client de bout en bout lorsque quelque chose ne va pas, en partenariat étroit avec les opérations d'infrastructure et le support client.
• Diriger les initiatives à travers l'ingénierie et les opérations d'infrastructure pour livrer la provisionnement, l'observabilité améliorée et les capacités d'auto-service client.

• Process Orientation: A demonstrated ability to design and formalize operational processes (support workflows, ticketing, incident handling) for a technical product
• Communication Mastery: The ability to articulate deep technical complexity to executive audiences and translate business goals into clear product direction
• Infrastructure Leadership: 10+ years of experience in cloud and computing technology, including 4+ years in product management focused on infrastructure or platform products, with a track record of leading complex, cross-functional initiatives through ambiguity
• Strategic Decision Making: Proven ability to navigate ambiguous, ill-defined problem spaces and drive long-term vision while balancing technical constraints and business outcomes
• Deep Compute & Operational Expertise: Comprehensive knowledge of server hardware, bare metal provisioning, distributed systems, networking, and large-scale fleet operations
• Hardware Depth: Direct experience at the hardware and firmware level, you don't need to be an engineer, but you need to have worked at that layer
• AI/ML Domain Knowledge: An understanding of GPU-based AI workloads and their specific demands on compute and network infrastructure
• Technical Tooling: Familiarity with IPMI/BMC protocols, infrastructure automation tools, or bare metal provisioning frameworks
• Hyperscale/Cloud Operations: Experience with large-scale GPU/CPU AI infrastructure platforms or clouds