Crusoe

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 the 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 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.
This is an on-site role based in San Francisco, CA, or Sunnyvale, CA, requiring in-office presence
What You’ll Be Working On:
<ul>
<li>Team Leadership &amp; Strategy:
</li>
<li>Lead, mentor, and grow a team of high-caliber software engineers on Crusoe’s
</li>
<li>Partner with leadership to define and execute the AI roadmap, setting clear goals and driving accountability.
</li>
<li>Cultivate a high-performance, collaborative engineering culture grounded in technical excellence.
</li>
<li>Technical Execution:
</li>
<li>Oversee the architecture and development of core AI services: fault-tolerant task queues, model management systems, cost-aware scheduling, etc.
</li>
<li>Ensure delivery of scalable systems capable of handling millions of API requests per second.
</li>
<li>Deliver an AI platform that can handle a large variety of load from training, to agentic execution infrastructure.
</li>
<li>Collaboration and Influence:
</li>
<li>Work cross-functionally with Product, Infrastructure, and GTM stakeholders.
</li>
<li>Represent Engineering in strategic discussions to influence AI platform growth and customer adoption.
</li>
<li>Promote knowledge sharing, technical mentorship, and the evolution of engineering processes.
</li>
</ul>
What You’ll Bring to the Team:
<ul>
<li>Leadership Experience:
</li>
<li>5+ years managing/leading high-performing engineering teams.
</li>
<li>Ability to lead teams through ambiguity and align on complex technical goals.
</li>
<li>Proven success hiring, developing, and retaining talent.
</li>
<li>Technical Depth:
</li>
<li>Hands-on experience with distributed and concurrent systems or AI infrastructure.
</li>
<li>Deep knowledge of cloud-native environments, container orchestration, and SOAs.
</li>
<li>Some familiarity with CPU &amp; GPU performance, inference frameworks, or LLM systems is a strong plus.
</li>
<li>Product &amp; Delivery Focus:
</li>
<li>Comfortable owning deliverables from design through production.
</li>
<li>Strong collaboration skills, prioritizing clarity, context, and customer impact.
</li>
<li>Experience in fast-paced startup or growth-stage environments.
</li>
<li>Preferred Qualifications:
</li>
<li>Background in Computer Science, Engineering, or a related technical field.
</li>
<li>Proficiency in Python/GoLang/Rust.
</li>
<li>Experience with Kubernetes, gRPC, and observability stacks.
</li>
<li>Familiarity with open-source AI ecosystems (e.g., vLLM, Hugging Face, Triton).
</li>
<li>Personal Attributes:
</li>
<li>Growth-minded leader who leads and empowers others.
</li>
<li>Excellent communicator and relationship builder.
</li>
<li>Passionate about building world-class AI infrastructure and teams
</li>
</ul>
Benefits:
<ul>
<li>Competitive compensation and equity packages</li>
<li>Restricted Stock Units</li>
<li>Paid time off, paid holidays &amp; leave of absence programs</li>
<li>Comprehensive health, dental &amp; vision insurance</li>
<li>Employer contributions to HSA account</li>
<li>Paid parental leave</li>
<li>Paid life insurance, short-term and long-term disability</li>
<li>Professional development &amp; tuition reimbursement</li>
<li>Mental health &amp; wellness support</li>
<li>Commuter benefits (parking &amp; transit)</li>
<li>Cell phone stipend</li>
<li>401(k) Retirement plan with company match up to 4% of salary</li>
<li>Volunteer time off</li>
<li>Global travel insurance &amp; emergency assistance</li>
<li>Daily meals allowance</li>
<li>Additional perks &amp; programs specific to location</li>
</ul>
Compensation Range
Compensation will be paid in the range of up to $215,000 - 260.000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's 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.

Engineering Manager, AI Platform - Managed AI

Engineering Manager, AI Platform - Managed AI

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