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Crusoe Energy Systems is seeking a Principal Product Manager for the AI Infrastructure storage foundation. You will steer long-term architecture and technology strategy, from hardware/vendor decisions to fleet-wide deployment, partnering with infrastructure engineers and architects to scale storage for AI workloads.
The role demands 8+ years in technical product management or product-minded infra engineering, with deep cloud storage and hyperscale storage knowledge, plus strong vendor management
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 CrusoeWe’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 servicesSubject matter expertise in storage, with the credibility to operate as a peer to senior infrastructure engineers and architectsStrong technical understanding of cloud storage architectures, including block, file, and object storage, at hyperscale8+ 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 infrastructureExperience managing long-term vendor strategy and vetting in-house software engineering investment for storage hardware and softwareA strong grasp of infrastructure economics at scale, including cost per usable TB and capacity efficiencyAnalytical mindset with the ability to use data to inform multi-year infrastructure decisionsExceptional communication skills, with the ability to translate technical tradeoffs into clear narratives for engineering leadership and executivesBachelor’s degree in electrical engineering, computer science, or a related fieldExperience with AI/ML infrastructure, including training and inference workloads in the cloudDirect experience with high-performance storage networking, such as RDMA or GPUDirect StorageExperience with a major cloud provider (AWS, Azure, GCP) and their storage services, or a deep understanding of cloud-native storage principles at hyperscaleExperience managing or mentoring other product managers