Engineering Manager, Managed AI
CrusoeSan Francisco, CA - US$238k – $288kPosted 27 March 2026
Job Description
Engineering Manager, Managed AI
Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster.
We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI.
We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services.
If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe.
About This Role:
As an Engineering Manager on the Managed AI team, you will lead and scale a high-caliber squad of engineers building Crusoe’s next-generation platform for the full Large Language Model (LLM) lifecycle. This role is a unique blend of technical stewardship and people leadership, requiring you to guide the design of highly scalable, fault-tolerant infrastructure that powers AI for customers globally. You will be central to a strategically vital, fast-growing organization, shaping the engineering roadmap and driving execution in a mission-critical domain.
The ideal candidate is a seasoned leader who thrives in high-growth environments and can bridge the gap between complex AI infrastructure and seamless product delivery. This is a full-time, on-site role based in our San Francisco, CA, or Sunnyvale, CA offices, offering you the opportunity to foster a culture of technical excellence and collaborative innovation at the heart of the AI revolution.
What You’ll Be Working On:
- Team Leadership & Strategy: Lead, mentor, and grow a team of elite software engineers, setting clear goals, driving accountability, and cultivating a high-performance culture grounded in technical excellence.
- AI Roadmap Execution: Partner closely with executive leadership to define and execute the AI infrastructure roadmap, ensuring our platform evolves to meet the rapidly shifting needs of the market.
- Architectural Oversight: Oversee the development of core AI services, including fault-tolerant task queues, model management systems, and cost-aware scheduling designed for massive scale.
- High-Scale System Delivery: Ensure the delivery of robust systems capable of handling millions of API requests per second across a variety of workloads, from model training to agentic execution.
- Cross-Functional Influence: Work as a key collaborator with Product, Infrastructure, and Go-To-Market (GTM) stakeholders to align engineering efforts with customer adoption and business growth.
- Process Evolution: Promote knowledge sharing and technical mentorship while evolving engineering processes to maintain velocity as the organization scales.
What You’ll Bring to the Team:
- Proven Engineering Leadership: 5+ years of experience managing and leading high-performing engineering teams, with a track record of hiring, developing, and retaining top-tier talent.
- Strategic Navigational Skills: Demonstrated ability to lead teams through ambiguity and align stakeholders on complex technical goals in a fast-paced environment.
- Deep Technical Foundations: Hands-on experience with distributed and concurrent systems, cloud-native environments, container orchestration, and service-oriented architectures (SOA).
- Product & Delivery Focus: A strong sense of ownership ... (truncated, view full listing at source)
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