Principal Product Manager (AI Infrastructure, Storage)

• Crusoe is building the infrastructure layer that powers the most demanding AI workloads on the planet

• Our storage stack is what keeps tens of thousands of GPUs fed with data, whether that means block volumes for fast bootups, a shared file system for a training cluster, or the object storage tier a physical AI customer depends on

• As a Principal Product Manager on our AI Infrastructure team, you will own the long-term architecture and technology strategy for Crusoe’s storage foundation: how we build our storage stack at scale, from hardware and vendor selection to fleet-wide deployment architecture

• This is a foundations role. You will work as a peer to our most senior infrastructure engineers and architects, and make the long-term architecture, vendor, and technology decisions that determine whether our storage platform can scale for years, not just for the next customer request

• You will partner closely with Infrastructure Engineering, Cloud Software Engineering, and Architecture to translate future workload, fleet, and customer requirements into infrastructure requirements, and manage the vendor relationships that keep our storage stack world-class for AI at scale

• Long-term vision: Define the 2-4 year vision and roadmap for Crusoe’s storage foundation, across block, file, object, local NVMe, and archival tiers

• Architecture and hierarchy: Own the long-term storage architecture and hierarchy

• Vendor management and technology strategy: Own Crusoe’s long-term vendor management strategy for the storage stack, and shapes our cost structure, capital allocation, and competitive position

• Platform targets: Set the performance and durability targets the platform must hit, including storage cost per usable TB and capacity efficiency

• Scale for AI: Own the future architecture required to support significantly larger AI clusters and fleet scale

• Structural investment: Identify structural limitations in the current architecture and prioritize the long-term investments that resolve them

• Engineering partnership: Partner with Infrastructure Engineering and Architecture on major technical tradeoffs, and define the product requirements and business rationale behind foundational investments

• Industry scouting: Actively scout the industry for emerging storage technologies and vendors, and represent storage foundations in leadership reviews

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- If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe

• We’re looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services

• Subject matter expertise in storage, with the credibility to operate as a peer to senior infrastructure engineers and architects

• Strong technical understanding of cloud storage architectures, including block, file, and object storage, at hyperscale

• 8+ years of technical product management experience, or product-minded infrastructure engineering experience, with a track record of owning architecture-level outcomes at Principal or equivalent scope, specifically focused on cloud storage or related infrastructure

• Experience managing long-term vendor strategy and vetting in-house software engineering investment for storage hardware and software

• A strong grasp of infrastructure economics at scale, including cost per usable TB and capacity efficiency

• Analytical mindset with the ability to use data to inform multi-year infrastructure decisions

• Exceptional communication skills, with the ability to translate technical tradeoffs into clear narratives for engineering leadership and executives

• Bachelor’s degree in electrical engineering, computer science, or a related field

• Experience with AI/ML infrastructure, including training and inference workloads in the cloud

• Direct experience with high-performance storage networking, such as RDMA or GPUDirect Storage

• Experience with a major cloud provider (AWS, Azure, GCP) and their storage services, or a deep understanding of cloud-native storage principles at hyperscale

• Experience managing or mentoring other product managers