Engineering Manager, Managed AI

Job DescriptionJob Description

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- platform for the full Large 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- environments, container orchestration, and service-oriented architectures (SOA).

• Product & Delivery Focus: A strong sense of ownership over the entire lifecycle of a deliverable, from initial design through to production and maintenance.

• Collaborative Communication: Excellent interpersonal skills with the ability to prioritize clarity, context, and customer impact in all technical discussions.

• Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field.

Bonus Points:

• AI Infrastructure Expertise: Familiarity with CPU/GPU performance optimization, inference frameworks, or the internal mechanics of LLM systems.

• Modern Proficiency: Professional experience or proficiency in Python, Go, or Rust for large-scale systems.

• Advanced Tooling: Deep experience with Kubernetes, gRPC, and modern observability stacks.

• Open-Source Engagement: Familiarity with or contributions to open-source AI ecosystems such as vLLM, Hugging Face, or Triton.

• Startup Agility: Experience navigating the unique challenges of a rapid-growth startup or a fast-moving technology organization.

Benefits:

• Competitive compensation

• Restricted Stock Units

• Paid time off & paid holidays

• Comprehensive health, dental & vision insurance

• Employer contributions to HSA account

• Paid parental leave

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

• Professional development & tuition reimbursement

• Mental health & wellness support

• Commuter benefits (parking & transit)

• Cell phone stipend

• 401(k) Retirement plan with company match up to 4% of salary

• Volunteer time off

Compensation Range

Compensation will be paid in the range of up to $237,600 - $288,000 + 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 , color, , disability, genetic information, , citizenship, marital status, /, preference/ , , , veteran status, , or any other status protected by law or regulation.