Senior Staff Technical Program Manager

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's Cloud Engineering organization is 380 people today and hiring toward 550. At that scale, operational visibility, cross-team coordination, and clear communication don't happen by accident anymore. This role exists to make sure they happen on purpose.

You'll drive the programs that improve the KPI infrastructure and give leadership real insight into operational health, along with the connective tissue between cross-functional teams for data center deployments (DCOps, Cloud Engineering, and TPM). You own the checks that ensure a quality hand-off between teams, with authority to pull in resources to keep compute capacity delivery on track. You don't just report when the process breaks; you fix it as the fleet scales.

This isn't a role scoped to a single data center deployment or a single dashboard. You will be a strategic advisor to leadership on whether teams are actually executing operationally.

The ideal candidate has a technical background (software engineering, TPM, or product in an infrastructure context) and enough exposure to physical data center builds, or the instinct to ramp fast on them, to hold cross-functional teams to a shared definition of done.

Engineering Operations

• Run the programs that improve the KPI infrastructure, covering SLO dashboards, incident follow-up completion rates, on-call burden, deployment velocity, and initiative trackers. Surface where the org needs to improve and drive execution against it. Data should tell the story before anyone has to ask.

• Support the Chief of Staff on strategic projects and cross-cutting initiatives that don't have a natural single owner.

• Partner with engineering, SRE, customer success, and data engineering to keep operational data accurate and consistently reported.

• Work toward a single pane of glass that makes the health of the organization and its deployments easy to understand at a glance.

Deployment Ownership

• Own the checks that ensure a quality hand-off between teams, with the authority to pull in resources needed to deliver compute capacity to customers.

• Be the single point of authority to pull in the right teams the moment an issue surfaces during a deployment, replacing today's back-and-forth, ticket-driven handback.

• Own the deployment process end to end and evolve it as headcount and site count grow.

• 12+ years in software engineering, technical program management, or a technical product role, close enough to production systems to know what an SLO breach actually means.

• You've operated in high-growth infrastructure environments where processes are still being built; ambiguity doesn't paralyze you.

• You're a natural coordinator who works across teams without formal authority. DCOps, Network, and engineering leads trust you because you follow through.

• You can turn messy, multi-source data into a clear picture of organizational health, and you understand, or can quickly learn, the full data center build lifecycle: from project planning through the physical-to-digital handoff.

• Scrappy, low-ego, high-drive. You build the program and tooling yourself when it doesn't exist yet, and you care more about the outcome than the credit.

• Time inside AWS, GCP, Azure, CoreWeave, Lambda Labs, or a similar cloud provider.

• Experience running or improving a data center deployment or build-to-turnup process.

• Familiarity with incident.io, Opsgenie, PagerDuty, or similar incident management platforms at scale.

• Background in AI/ML infrastructure.