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Crusoe Logo Crusoe · IT - Software Development

Engineering Manager, Managed AI

United States, San Francisco, CA 237600.00 - 288000.00 USD / Year · Job Posted February 21, 2026
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Job Description

As an Engineering Manager on the Managed AI team at Crusoe, you will play a critical role in leading and scaling a team of engineers building our next-generation platform for the full lifecycle of Large Language Models (LLMs). You will be responsible for guiding the team through the design and implementation of highly scalable, fault-tolerant infrastructure. You will lead a team of high-caliber engineers, combining technical expertise with strong people leadership. This role is central to a fast-growing, strategically important organization, where you will shape the engineering roadmap and drive the execution of key projects. Success requires close partnership with product, business, and platform stakeholders to deliver a performant and reliable platform that powers AI for customers globally.

Job Responsibility

  • Lead, mentor, and grow a team of high-caliber software engineers
  • Partner with leadership to define and execute the AI roadmap, setting clear goals and driving accountability
  • Cultivate a high-performance, collaborative engineering culture grounded in technical excellence
  • Oversee the architecture and development of core AI services: fault-tolerant task queues, model management systems, cost-aware scheduling, etc.
  • Ensure delivery of scalable systems capable of handling millions of API requests per second
  • Deliver an AI platform that can handle a large variety of load from training, to agentic execution infrastructure
  • Work cross-functionally with Product, Infrastructure, and GTM stakeholders
  • Represent Engineering in strategic discussions to influence AI platform growth and customer adoption
  • Promote knowledge sharing, technical mentorship, and the evolution of engineering processes

Requirements

  • 5+ years managing/leading high-performing engineering teams
  • Ability to lead teams through ambiguity and align on complex technical goals
  • Proven success hiring, developing, and retaining talent
  • Hands-on experience with distributed and concurrent systems or AI infrastructure
  • Deep knowledge of cloud-native environments, container orchestration, and SOAs
  • Some familiarity with CPU & GPU performance, inference frameworks, or LLM systems is a strong plus
  • Comfortable owning deliverables from design through production
  • Strong collaboration skills, prioritizing clarity, context, and customer impact
  • Experience in fast-paced startup or growth-stage environments
  • Background in Computer Science, Engineering, or a related technical field
  • Proficiency in Python/GoLang/Rust
  • Experience with Kubernetes, gRPC, and observability stacks
  • Familiarity with open-source AI ecosystems (e.g., vLLM, Hugging Face, Triton)
  • Growth-minded leader who leads and empowers others
  • Excellent communicator and relationship builder
  • Passionate about building world-class AI infrastructure and teams

What we offer

  • Bonus
  • Restricted Stock Units
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