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Staff Technical Program Manager (Managed Intelligence)

Crusoe Energy Systems · Sunnyvale, United States

External listingfull-time2 months ago

About The Role

Join Crusoe, the world's first vertically integrated, sustainable AI cloud. As a Staff Technical Program Manager for Managed Intelligence, you will play a crucial role in shaping the future of AI infrastructure. You will own end-to-end program delivery, drive cross-functional alignment, and proactively identify risks. This is an opportunity to make a significant impact in a fast-growing company focused on sustainability and reliability in AI.

  • End-to-end program delivery: Own multi-quarter release planning, dependency governance, and executive communication across the Managed Inference platform.
  • Complex, high-risk program management: Drive model version rollouts, inference optimization campaigns, SLA readiness for new GPU hardware, and multi-tenant capacity planning from kickoff through delivery.
  • Cross-functional alignment: Coordinate across Model Engineering, IaaS, Cloud Foundations, Data Center Operations, and external model providers to keep programs on track and unblocked.
  • LLM inference and model serving knowledge: Working familiarity with batching strategies, quantization approaches, and the tradeoffs that govern latency, throughput, and cost at production scale
  • Multi-tenant systems experience: Familiarity with isolation, quota management, and SLA enforcement across concurrent workloads
  • Fine-tuning and alignment awareness: Sufficient familiarity with fine-tuning and alignment workflows to govern program timelines, identify technical risks, and coordinate across the teams that own them
  • Cross-functional influence: Proven ability to drive alignment across engineering, product, and infrastructure leadership without direct authority, including with highly technical stakeholders
  • Low-structure execution: Proven ability to build execution models in environments where the process did not yet exist, and make them stick with teams that didn't ask for them
  • AI tool integration: Active, daily use of AI tools to improve program execution, risk detection, and communication -- not just personal productivity
  • 7+ years of experience as a Technical Program Manager in fast-paced technical environments, with a track record of owning complex programs end-to-end across engineering and product organizations
  • Executive communication: Exceptional written and verbal communication for delivering clear, data-driven, decision-oriented updates to executive stakeholders
  • 1+ years of experience working with teams building platforms or services for AI inference and/or training
  • Direct experience governing model onboarding programs across GPU generations, including firmware, driver, and stack validation
  • Experience coaching or mentoring junior TPMs in a high-growth technical environment
  • Exposure to multi-site or globally distributed engineering teams
  • Background at a Series D to Series F company or a high-performing team within a hyperscaler focused on AI infrastructure

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