Staff Technical Program Manager

The role

The Staff TPM for Managed Intelligence connects model engineering, IaaS, product, and data center operations. You will own end-to-end program delivery across multi-quarter roadmaps, model onboarding, inference optimization, and production readiness for new model versions.

What you will do

• Own multi-quarter release planning, dependency governance, and executive communication.
• Drive model version rollouts, inference optimization campaigns, SLA readiness, and multi-tenant capacity planning.
• Coordinate across Model Engineering, IaaS, Cloud Foundations, Data Center Operations, and external model providers.
• Surface risks across model serving, reliability, capacity constraints, and vendor timelines.
• Build lightweight, scalable TPM frameworks and maintain real-time execution dashboards.
• Own pre-launch planning for model onboarding on new GPU generations.
• Drive alignment and push back across engineering, product, and operations leadership.

Required qualifications

• 7+ years of experience as a Technical Program Manager in fast-paced technical environments.
• LLM inference and model serving knowledge including batching strategies, quantization approaches, and latency, throughput, and cost tradeoffs.
• Familiarity with multi-tenant systems including isolation, quota management, and SLA enforcement.
• Familiarity with fine-tuning and alignment workflows.
• Ability to build execution models in low-structure environments.
• Exceptional written and verbal communication for executive stakeholders.
• Active, daily use of AI tools to improve program execution, risk detection, and communication.
• Ability to drive alignment across engineering, product, and infrastructure leadership without direct authority.

Nice to have

• Experience working with teams building platforms or services for AI inference and/or training.
• Direct experience governing model onboarding programs across GPU generations.
• 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.

Benefits

• Pension contributions
• Additional perks to support work-life balance

About the company

Crusoe is a vertically integrated AI infrastructure company that owns and operates each layer of the stack to power AI workloads. They build and operate GPU infrastructure powered by clean energy.