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
Own the Vera Rubin generation introduction end-to-end: chip vendor and OEM dependencies, architecture updates (networking topology, storage), cloud foundations work, commissioning gate framework definition, and first customer cluster delivery as the success metric.
Define the NPI engagement model for a new GPU generation: what changes architecturally from Grace Blackwell to Vera Rubin, what the commissioning gate framework needs to look like, and where standard hyperscaler NPI processes are broken and need redesign.
Lead NPI Phase 0 on the Cloud TPM side: define firmware version targets and DOCA targets before kickoff, set commissioning gate criteria (G0–G6), name the DRI matrix, and publish the node allocation plan with block-scheduled tasks.
Manage compounding cross-SKU dependencies where active B200/GB300 production: programs are running in parallel with Vera Rubin NPI, and prevent them from competing for the same specialist pool without a plan.
Maintain portfolio-level situational awareness across NPI programs, active: production deployments, and cloud foundations work, holding an accurate mental model of cross-domain risks and dependencies without being in the weeds of every program simultaneously.
Integrate infrastructure economics with program decisions: how a GPU generation transition affects the capacity plan, how a commissioning gate failure cascades into customer commitment delays, how a firmware lifecycle choice has direct revenue implications.
What they're looking for
- Evolve the Site Operations PM to Cloud TPM engagement model as Crusoe scales: from current deployment volume to significantly higher throughput.
- Partner with VP and SVP-level stakeholders on programs with significant: organizational risk, framing trade-offs and surfacing decision-ready analysis.
- Drive the TPM organization from reactive to predictable: define leading indicators, build portfolio visibility, and coach Staff and Senior TPMs on technical depth, risk identification, and executive communication.
- Set the standard for AI tool integration across the TPM team: identify where AI materially changes program tracking, risk detection, and executive communication, and drive adoption.
