Senior Staff Technical Program Manager, Cloud Engineering Operations
Crusoe · San Francisco, CA - US
- Location
- San Francisco, CA - US
- Salary
- $230,000 - $280,000
- Funding
- N/A
- Posted
- Sep 21, 2026
Crusoe is hiring a Senior Staff Technical Program Manager, Cloud Engineering Operations based in San Francisco, CA - US. Every apply link on Engg.space goes straight to the company's own careers page - no recruiter middleman, no generic job-board form.
Apply directly at CrusoeRole details
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. About This Role Crusoe's Cloud Engineering organization is 380 people today and hiring toward 550. Cloud Infrastructure is the layer everything else runs on — the compute, storage, and networking that turn racks of GPUs into a cloud, plus Crusoe Managed Kubernetes, the product customers use to run containers against them. At 380 people, cross-team execution still works because a handful of people hold the whole picture in their heads. At 550 it does not. This role exists to replace that with an operating model. You'll own how Cloud Infrastructure executes: how priorities get set, how dependencies get unblocked, how work gets tracked, and how leadership sees the truth without having to ask. You'll build it inside Cloud Infrastructure first — one org, as a design partner, close to the work — and then take what holds up and drive adoption across the rest of Cloud Engineering. The ideal candidate has a technical background (software engineering, TPM, or technical product in an infrastructure context) and enough fluency in distributed systems to hold engineering teams to a shared definition of done without needing it translated. They embody servant leadership and full ownership, taking vague directives with complete autonomy to tactfully collaborate with cross-functional partners and deliver outcomes. What You'll Be Working On Execution inside Cloud Infrastructure - Own the view of engineering priorities across Cloud Infrastructure: what each team is committed to this quarter, what's actually moving, and where the plan and reality have diverged. - Coordinate and unblock teams on major initiatives spanning compute, storage, networking, and Crusoe Managed Kubernetes. When a dependency stalls, you're the one who gets it moving, not the one who documents that it stalled. - Drive initiatives to committed dates, and surface slips early enough that leadership can act on them rather than absorb them. - Measure time-to-unblock on cross-team dependencies and drive it down. If it can't be measured today, that's the first problem to solve. Operating rhythm - Run the Cloud Infrastructure staff meeting: agenda, pre-work, decisions captured, actions closed. The meeting should produce decisions, not a readout. - Partner with the Cloud Product and Technical Product Management org on planning cycles so each cycle opens with pre-work complete and priorities pre-negotiated, and functions as a decision forum rather than a discovery exercise. - Partner with the Chief of Staff organization and its program managers on headcount planning, the operating rhythm of the org, and strategic direction. You own execution inside the org; they own the org-wide layer. Keep that seam clean. - Produce the recurring leadership updates and executive readouts on Cloud Infrastructure execution health. Owning the unowned - Take on the cross-cutting problems that don't have a natural single owner and drive them either to an outcome or to a named owner. No problem sits unclaimed for a quarter. - Support the Chief of Staff on strategic projects that span Cloud Infrastructure and the rest of Cloud Engineering. Systems of record - Drive adoption of Jira and issue-tracking discipline across Cloud Infrastructure until Jira is the source of truth teams actually work from. Measured by coverage and hygiene, not by mandate. - Own the Jira, Confluence, and dashboard artifacts these programs run on: structure, access, hygiene, and automation. Treat every recurring chase as a defect and replace it with a form, a script, a query, or a scheduled reminder. - Work toward a view of Cloud Infrastructure execution health that leaders can read at a glance without a human assembling it first. What You'll Bring to the Team - 10+ years in technical program management, software engineering, or a technical product role, close enough to production systems that you can read a design doc and know which dependency is the real risk. - A track record driving multi-team technical initiatives to committed dates in an infrastructure, cloud, or platform organization — not coordinating them, driving them. - Evidence you've built a process rather than administered one: you designed an operating cadence or planning model, proved it in one place, and got other teams to adopt it. - You unblock without formal authority. Engineering leads respond to you because you're precise about what you need, why, and by when, and because you follow through. - Real fluency with issue tracking at scale. You've driven Jira adoption or an equivalent migration where the hard part was behavior change, not configuration. - You can turn messy, multi-source data into a clear picture of execution health, and you'd rather build the query than request the report. - Comfort with ambiguity. You'll start with incomplete documentation, informal processe
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