Crusoe Energy Systems LLC
Engineering Manager, Managed AI
Crusoe Energy Systems LLC, San Francisco, California, United States, 94199
Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability.
Be a 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:
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:
Enhance 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 benefit; $300 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 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.
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Be a 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:
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:
Enhance 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 benefit; $300 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 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.
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