The opportunity
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.
What you'll do
R&D Program Execution: Own and drive R&D programs end-to-end—from early-stage technology evaluation and partner engagement through pilot-scale deployment and production handoff for hyperscale rollout. Bring structure, rigor, and pace to programs that are inherently exploratory.
Engineering Team Partnership: Serve as R&D’s program interface to engineering teams across the company. Coordinate joint planning, manage shared initiative pipelines, and ensure R&D outputs are aligned with the needs of the teams building and deploying infrastructure.
Technology Evaluation Support: Coordinate the operational aspects of technology evaluations: vendor engagements, test protocols, data collection, success criteria, and structured go/no-go decision frameworks. Ensure evaluations are completed on schedule with clear, documented outcomes.
External Partner Management: Manage relationships with external technology vendors, emerging startups, design firms, and development partners engaged in R&D programs. Own scope definition, deliverable quality, schedule accountability, contracts, and commercial terms. Help coordinate joint evaluations and pilot programs with industry and research partners.
Cross-Functional Coordination: Drive alignment across R&D, engineering, operations, and leadership stakeholders. Translate technical complexity into clear program milestones, risk registers, and decision points that enable rapid execution.
Program Reporting: Maintain program status visibility through regular reporting to R&D leadership and engineering stakeholders. Proactively identify and escalate risks and blockers.
What they're looking for
- Technical Documentation: Ensure R&D programs produce comprehensive documentation—including technical assessments, pilot results, vendor evaluations, and production handoff packages—that enable engineering teams to adopt and scale R&D-validated solutions.
- Experience: 7+ years of progressive experience in technical program: management, project management, or systems engineering, with a meaningful portion in data center infrastructure, manufacturing, or related industrial environments.
- Technical Background: Engineering degree or equivalent technical foundation. You started your career as an engineer and transitioned into program management—you bring genuine technical fluency to every conversation, not just process discipline.
- Data Center Knowledge: Working familiarity with data center infrastructure—power distribution, cooling systems, facility design, or compute/networking. You can engage credibly with engineers across these domains and ask the right questions.
