Engineering Manager, AI Platform - Managed AI

Crusoe is an active AI-infrastructure company operating an AI cloud platform, managed AI services, and AI data-center infrastructure.

Series E14 current maintainers9 active leads5 lead step-downsTeam intelligence

Maintainer signals as of 9/25/2026

Denver, United States
About Crusoe, Inc.

Crusoe designs, builds, and operates energy-first AI infrastructure. Its offerings include Crusoe Cloud for GPU-based training, fine-tuning, inference, and managed services, alongside AI-optimized data centers and energy infrastructure.

View jobs by Crusoe, Inc.

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

Lead and scale a team of engineers building a platform for the full lifecycle of large language models. Guide scalable, fault-tolerant infrastructure design and implementation, shape the engineering roadmap, oversee core AI services, drive project execution, and collaborate with product, infrastructure, and go-to-market stakeholders.

Requirements

  • 5+ years managing or leading high-performing engineering teams
  • Experience with distributed and concurrent systems or AI infrastructure
  • Deep knowledge of cloud-native environments, container orchestration, and service-oriented architectures
  • Familiarity with CPU and GPU performance, inference frameworks, or large language model systems
  • Experience owning deliverables from design through production
  • Experience in fast-paced startup or growth-stage environments
  • Proficiency in Python, Go, or Rust
  • Experience with Kubernetes, gRPC, and observability stacks
  • Familiarity with open-source AI ecosystems such as vLLM, Hugging Face, or Triton

Responsibilities

  • Lead, mentor, and grow a team of software engineers
  • Partner with leadership to define and execute the AI roadmap
  • Oversee the architecture and development of core AI services
  • Ensure delivery of scalable systems capable of handling millions of API requests per second
  • Deliver an AI platform that supports training and agentic execution infrastructure
  • Work cross-functionally with product, infrastructure, and go-to-market stakeholders
  • Represent engineering in strategic discussions
  • Promote knowledge sharing, technical mentorship, and evolving engineering processes

Benefits

  • Competitive compensation and equity packages
  • Restricted Stock Units
  • Paid time off
  • Paid holidays
  • Leave of absence programs
  • Comprehensive health insurance
  • Dental insurance
  • Vision insurance
  • Employer contributions to HSA account
  • Paid parental leave
  • Paid life insurance
  • Short-term disability insurance
  • Long-term disability insurance
  • Professional development
  • Tuition reimbursement
  • Mental health and wellness support
  • Commuter benefits
  • Cell phone stipend
  • 401(k) retirement plan with company match up to 4% of salary
  • Volunteer time off
  • Global travel insurance and emergency assistance
  • Daily meals allowance
  • Additional location-specific perks and programs