Hiring: Staff Technical Program Manager, Storage Company: Crusoe Location: San Francisco, CA Job Posted Time: 2026-09-17 04:56:10 Target Skills & Keywords : Cloud Storage, IaaS, PaaS, Program Management, SaaS About the job Experience: •7+ years as a Technical Program Manager in fast-paced technical environments, with a track record of owning complex programs end-to-end across engineering and product organizations. •5+ years experience working with execution teams building Storage platforms/services Required Skills: •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. •The Cloud Storage team at Crusoe is seeking a Staff TPM to serve as the main execution driver for our most impactful, cross-team programs. You will be a multiplier, responsible for executing the Product and Engineering strategy, create scalable processes, and allow the team to execute predictably. •End-to-end program delivery for Storage Engineering, spanning multi-quarter release planning, dependency governance, and executive communication. •Complex, high-risk programs including feature rollouts, new Storage deployments, and platform resiliency. •Cross-functional alignment across IaaS, Cloud Foundations, Data Center Operations, and external storage providers. •Proactive risk identification across programs and vendor timelines. •Lightweight, scalable TPM frameworks suited to Crusoe's pace; real-time execution dashboards and crisp, data-driven executive updates. •In-depth understanding of cloud technologies, platforms, and services (IaaS, PaaS, SaaS). Qualifications: •Bachelor's or Master’s degree in Engineering, Computer Science, or a related technical field •Exposure to multi-site or globally distributed engineering teams. •Background at a Series D to Series F company or a high-performing team within a hyperscaler focused on AI infrastructure. Compensation: •$200,000 - $240,000 / year •Competitive compensation and equity packages Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!