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Crusoe Energy Systems seeks a senior Technical Program Manager to design and operate the Cloud Infrastructure execution model. You will own priorities, unblock dependencies, and drive alignment across compute, storage, networking, and Crusoe Managed Kubernetes, reporting progress to leadership.
You will lead cross-functional planning cycles and governance, chair staff meetings, and push for Jira/Confluence-driven transparency across the org, enabling scaled adoption and reliable delivery.
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 outcomesExcellent written communication. A large share of this job is a single message that makes thirty engineers do the right thing without a meetingScrappy, low-ego, high-drive. You’ll chase the one loose thread yourself, and you’ll also redesign the process that produced it10+ 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 riskYou 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 throughA track record driving multi-team technical initiatives to committed dates in an infrastructure, cloud, or platform organization — not coordinating them, driving themEvidence 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 itComfort with ambiguity. You’ll start with incomplete documentation, informal processes, and major initiatives already in flightReal fluency with issue tracking at scale. You’ve driven Jira adoption or an equivalent migration where the hard part was behavior change, not configurationComfortable taking ambiguous, high-level directives and operating with full autonomy to tactfully align cross-functional partners and drive resultsYou can turn messy, multi-source data into a clear picture of execution health, and you’d rather build the query than request the reportTime inside AWS, GCP, Azure, CoreWeave, Lambda Labs, or a similar cloud providerHands-on familiarity with Kubernetes, and with operating-system or distributed-systems work at the infrastructure layerBackground in AI/ML infrastructure or large-scale GPU fleetsAppetite to grow this into a function and manage a small team as the programs that fan out from it find ownersWorking knowledge of Jira automation, Confluence, Grafana, or SigmaExperience running an operating-model or planning-process rollout across multiple organizations where you drove measurable adoption