Staff Technical Program Manager, Storage

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.

We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.

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.

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.

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.

Technical Foundation

• In-depth understanding of cloud technologies, platforms, and services (IaaS, PaaS, SaaS).

• Experience building and launching storage products, such as block volumes, file-systems, or object storage.

• Direct technical experience working with storage hardware, protocols, or file systems.

• Ability to engage credibly with engineering on technical topics and tradeoffs.

• Proven ability to help define, scope, and document ambiguous, cross-functional initiatives with minimal guidance.

• Analytical mindset with the ability to use data to inform decision-making.

Program Leadership

• 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.

• Proven ability to drive alignment across engineering, product, and infrastructure leadership without direct authority.

• Experience building execution models in low-structure environments where the process did not yet exist.

• Exceptional written and verbal communication for delivering clear, data-driven updates to executive stakeholders.

• Active, daily use of AI tools to improve program execution, risk detection, and communication.

• Bachelor's or Master’s degree in Engineering, Computer Science, or a related technical field;

• 5+ years experience working with execution teams building Storage platforms/services

• Experience coaching or mentoring junior TPMs in a high-growth technical environment.

• 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.