Engineering Manager, Managed AI

Crusoe is building the World’s Favorite AI-first Cloud infrastructure company. We’re pioneering vertically integrated,  purpose-built AI infrastructure solutions trusted by Fortune 500 companies to power their most advanced AI applications. Crusoe is redefining AI cloud infrastructure, with a mission to align the future of computing with the future of the climate. Our AI platform is recognized as the "gold standard" for reliability and performance. Our data centers are optimized for AI workloads and are powered by clean, renewable energy.

Be part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure.

About This Role:

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 AI inference platform. You will be responsible for guiding the team through the design and implementation of high-performance, fault-tolerant infrastructure to serve large language models (LLMs) at scale.

This role combines technical depth with people leadership — you'll help shape the engineering roadmap, drive execution across key projects, and mentor a team of high-caliber engineers. As part of a fast-growing, strategically important organization, you’ll partner closely with product, business, and platform stakeholders to deliver a performant and reliable platform powering AI for customers worldwide.

This is an on-site role based in San Francisco, CA, or Sunnyvale, CA, requiring in-office presence

What You’ll Be Working On:

• Team Leadership & Strategy:

  • Lead the design and implementation of core AI services, including:

    • Manage and grow a team of software engineers working on Crusoe’s Managed AI platform

    • Set clear goals, drive accountability, and support career development for team members

    • Partner with product and engineering leadership to define and execute on the AI roadmap

    • Foster a high-performance, collaborative engineering culture grounded in technical excellence

• Technical Execution:

  • Oversee the architecture and development of core AI services, including:

    • Fault-tolerant task queues

    • Model management systems

    • Cost-aware scheduling frameworks

    • High-performance APIs for real-time inference

  • Ensure the team delivers scalable systems capable of handling millions of API requests per second

  • Guide the team in implementing performance optimizations for GPU-based inference workloads

• Collaboration and Influence:

  • Work cross-functionally with product managers, infrastructure teams, and GTM stakeholders

  • Represent engineering in strategic discussions related to AI platform growth and customer adoption

  • Promote knowledge sharing, technical mentorship, and operational best practices within the team

  • Contribute to the evolution of Crusoe’s engineering processes and broader AI strategy

What You’ll Bring to the Team:

• Leadership Experience:

  • 2+ years of experience managing high-performing engineering teams

  • Strong track record of hiring, developing, and retaining engineering talent

  • Ability to lead teams through ambiguity and drive alignment around complex technical goals

• Technical Depth:

  • Prior hands-on experience building distributed systems or AI infrastructure

  • Deep understanding of cloud-native environments, container orchestration, and service-oriented architectures

  • Familiarity with GPU performance, inference frameworks, or LLM-based systems is a strong plus

• Product & Delivery Focus:

  • Comfortable owning deliverables from early design through production rollout

  • Strong collaboration skills, with a bias for clarity, context sharing, and customer impact

  • Experience operating in fast-paced startup or growth-stage environments

• Preferred Qualifications:

  • Background in Computer Science, Engineering, or a related technical field

  • Proficiency in Python or Golang

  • Familiarity with open-source AI ecosystems (e.g., VLLM, Hugging Face, Triton)

  • Experience working with Kubernetes, gRPC, and observability stacks

• Personal Attributes:

  • Growth-minded leader who empowers and supports others

  • Excellent communicator and relationship builder

  • Passionate about building world-class AI infrastructure and teams

Benefits:

• Industry competitive pay

• Restricted Stock Units in a fast growing, well-funded technology company

• Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents

• Employer contributions to HSA accounts

• Paid Parental Leave

• Paid life insurance, short-term and long-term disability

• Teladoc

• 401(k) with a 100% match up to 4% of salary

• Generous paid time off and holiday schedule

• Cell phone reimbursement

• Tuition reimbursement

• Subscription to the Calm app

• MetLife Legal

• Company paid Commuter FSA benefit of $200 per month

Compensation:

Compensation will be paid in the range of $233,000 - $282,000 a year + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data.

Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.