Principal Product Manager, General Compute; Seattle

Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.

Be a part of the AI revolution with sustainable technology e, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.

The Principal Product Manager for General Compute is a product authority who defines the strategic direction for Crusoe Cloud's foundational compute platform. You'll take broad ownership of compute infrastructure spanning GPU and CPU offerings, bare metal and virtualized environments, and the orchestration layers that power AI training and inference workloads. This role shapes how Crusoe competes in cloud infrastructure, influencing company-level strategy on platform evolution, market positioning, and capital allocation.

You’ll operate across organizational boundaries, defining direction across multiple product portfolios where alignment is critical but ownership is distributed. This includes integrating compute strategy with networking, storage, security, and managed AI services to deliver cohesive infrastructure experiences. You’ll frame strategic tradeoffs between technical investment, market timing, and business outcomes, ensuring local optimizations don’t create systemic inefficiencies.

As a Principal Product Manager, you’ll identify emerging opportunities before they’re visible to the broader organization, bringing structure to ambiguous strategic questions like new market entry, platform shifts, or architectural transitions. You’ll deliver step‑function impact on company trajectory through initiatives that materially change revenue potential, cost structure, or competitive differentiation. Your influence extends beyond product into partnerships, go‑to‑market strategy, and long‑term platform evolution.

• Define and own the strategic direction for Crusoe’s general compute platform, shaping multi‑year product narratives that guide investment across engineering, infrastructure, and GTM teams
• Operate across organizational boundaries to align compute strategy with networking, storage, managed services, and go‑to‑market teams, ensuring cohesive platform evolution
• Shape executive decision‑making by framing tradeoffs between infrastructure investment, market positioning, customer demand, and long‑term business outcomes
• Identify emerging risks and opportunities in AI infrastructure before they become visible—new workload patterns, architectural shifts, competitive dynamics, or technology transitions
• Define the problem space when ambiguity is highest and organizational alignment doesn’t exist, creating clarity for multiple teams to execute against shared vision
• Ensure execution succeeds at scale by defining operating models, sequencing major investments, resolving cross‑organizational friction, and maintaining accountability for outcomes spanning multiple teams
• Drive initiatives that materially change Crusoe’s revenue potential, cost structure, or competitive differentiation in cloud infrastructure
• Synthesize market trends, technological shifts (GPU roadmaps, virtualization evolution, AI framework requirements), and economic realities into actionable strategy
• Establish durable product frameworks and decision models that other product managers and teams adopt for evaluating compute investments and customer requirements
• Anticipate second‑ and third‑order effects across the ecosystem—how compute decisions impact network topology, cooling economics, energy strategy, or customer contract structures
• Lead strategic customer and partner discussions, representing Crusoe’s compute vision and gathering insights that inform platform direction
• Mentor product managers and engineers across the organization, modeling Crusoe values and developing the next generation of infrastructure product leaders
• Influence how Crusoe allocates capital to compute infrastructure, balancing GPU vs CPU investment, bare metal vs virtualization, and custom vs standard offerings