Technical Program Manager, R&D
Austin, TX, Phoenix, AZ$155k - $200kFull-timePosted 3mo ago
About the role
Technical Program Manager role within Fluidstack's R&D team, owning end-to-end PM plans for hardware/infrastructure programs from concept to production handoff, coordinating across R&D, manufacturing, supply chain, and deployment teams in a fast-paced, autonomy-driven environment.
Responsibilities
- Own program plans across R&D workstreams: scope, sequencing, owners, and the critical path from concept through prototype, qualification, and production handoff.
- Run NPI programs end to end, coordinating design reviews, build schedules, long-lead procurement, and lab/test capacity so nothing waits on ambiguity.
- Drive cross-functional execution between R&D, manufacturing, supply chain, and deployment teams; surface risks early and force decisions fast.
- Build the reporting cadence leadership runs on: honest status, slipping items named, recovery plans attached.
- Turn recurring chaos into process only where process pays for itself. We optimize for velocity, not ceremony.
Qualifications
- 5+ years of technical program management across hardware or infrastructure programs (NPI, data center, energy, aerospace, automotive, or similar build-heavy domains).
- Comfortable in the details of mechanical/electrical/controls engineering programs. You can read a schedule risk off an engineering conversation.
- Proven at running multiple concurrent programs with distributed engineering, manufacturing, and vendor teams.
- Bias to action: you close loops yourself, escalate with options not problems, and keep programs moving without waiting to be asked.
- On-site energy: this role lives close to the lab and the factory floor.
Last updated Oct 6, 2026. Interested? Apply on the company site.
About Fluidstack
Fluidstack builds civilization-scale infrastructure for AI
Fluidstack builds civilization-scale infrastructure for AI, delivering gigawatts of compute in 6 months. We're leading the deployment of Anthropic's $50B compute build out.
AI infrastructurecompute centershardwaresoftwarepowerdata centersAnthropicfrontier compute
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