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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Technical Program Manager, Managed Intelligence - **Company:** Crusoe's Inc - **Location:** San Francisco, CA, United States - **Salary:** $193,050.0 - $234,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Cloud Computing, Nvidia CUDA, Data Centers, Firmware, Infrastructure as a Service (IaaS), AI Infrastructure, Large Language Models, Data Analytics - **Published:** May 21, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=335c340cbe7dd017 ## About the Role Do you have experience in Stakeholder management?, * 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. * 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. * 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. * Executive communication: Exceptional written and verbal communication for delivering clear, data-driven, decision-oriented updates to executive stakeholders. * AI tool integration: Active, daily use of AI tools to improve program execution, risk detection, and communication - not just personal productivity. * Cross-functional influence: Proven ability to drive alignment across engineering, product, and infrastructure leadership without direct authority, including with highly technical stakeholders. Bonus Points: * 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. ## Description * 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. * Proactive risk identification: Surface risks across model serving, reliability, capacity constraints, and vendor timelines before they become program-level problems. * Execution frameworks and dashboards: Build lightweight, scalable TPM frameworks suited to Crusoe's pace; maintain real-time execution dashboards and deliver crisp, data-driven executive updates. * Phase 0 planning for model onboarding: Own pre-launch planning for model onboarding on new GPU generations, including firmware and driver readiness, CUDA and ROCm stack validation, and commissioning criteria for inference workloads. * Stakeholder leadership: Drive alignment and push back effectively across engineering, product, and operations leadership - including highly technical stakeholders who have not previously worked with a TPM. ## Related Videos - [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [The Sustainability Race: AI's Promises, Pitfalls and Potential](https://www.wearedevelopers.com/videos/100155-the-sustainability-race-ai-s-promises-pitfalls-and-potential) - [Playing Pong on a shoulder press machine](https://www.wearedevelopers.com/videos/100140-playing-pong-on-a-shoulder-press-machine) - [Building the Nervous System of AI - Michael Kagan (NVIDIA)](https://www.wearedevelopers.com/videos/2133-building-the-nervous-system-of-ai-michael-kagan-nvidia) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) ## Related Articles - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)