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Engineering Manager, Managed AI Careers at Crusoe - San Francisco, California | Apply Now!

Crusoe

Engineering Manager, Managed AI Careers at Crusoe - San Francisco, California | Apply Now!

full-timePosted: Feb 9, 2026

Job Description

Engineering Manager, Managed AI at Crusoe

Role Overview

As an Engineering Manager on the Managed AI team at Crusoe, you will be at the forefront of building the next generation platform for Large Language Models (LLMs). This role demands a leader who can blend technical expertise with exceptional people management skills. You'll guide a team of highly skilled engineers in designing and implementing scalable, resilient infrastructure. The position is vital for Crusoe's growth, requiring you to shape the engineering roadmap and drive the execution of key projects in partnership with product, business, and platform stakeholders. Your ultimate goal is to deliver a reliable and performant AI platform that powers AI solutions for customers globally.

A Day in the Life

Your day will involve a mix of strategic planning, technical guidance, and team management. You might start by reviewing the team's progress on current projects, identifying and addressing any roadblocks. You’ll then collaborate with product managers to refine the product roadmap, ensuring alignment with business objectives. A significant portion of your time will be spent mentoring engineers, providing technical guidance, and fostering a collaborative team environment. You’ll also participate in architectural discussions, code reviews, and performance analysis to maintain the high standards of the platform. Finally, you'll dedicate time to hiring and onboarding new team members, ensuring the team continues to grow with top talent.

Why San Francisco/Sunnyvale?

San Francisco and Sunnyvale are hubs of technological innovation, particularly in the field of Artificial Intelligence. Being located in either of these cities provides unparalleled access to a thriving tech ecosystem, including potential partners, talent, and cutting-edge research. The proximity to top universities and research institutions also facilitates continuous learning and development opportunities for the team. Additionally, the vibrant culture and diverse community of the Bay Area offer an attractive environment for both personal and professional growth. Crusoe’s presence in this region underscores its commitment to attracting and retaining the best talent in the industry.

Career Path

The Engineering Manager role at Crusoe offers a clear path for career advancement. Successful performance in this role can lead to opportunities to manage larger teams, lead multiple engineering teams as a Senior Engineering Manager, or transition into a Director of Engineering position. Furthermore, there are opportunities to specialize in specific areas of AI infrastructure, such as model deployment, distributed training, or platform scalability. Crusoe is committed to providing its employees with the resources and support necessary to achieve their career goals, including mentorship programs, leadership training, and opportunities to participate in strategic initiatives.

Salary & Benefits

Crusoe offers a competitive salary and benefits package that reflects the value we place on our employees. The estimated salary range for this position in the San Francisco/Sunnyvale area is $180,000 to $280,000 per year, commensurate with experience and qualifications. In addition to salary, Crusoe provides a comprehensive benefits package, including:

  • Comprehensive health, dental, and vision insurance
  • Generous paid time off and holidays
  • 401(k) retirement plan with company match
  • Professional development opportunities
  • Company-sponsored events and activities
  • Commuter benefits
  • Healthy snacks and drinks provided
  • Employee assistance program
  • Flexible work arrangements

Crusoe Culture

Crusoe is a mission-driven company that values innovation, collaboration, and sustainability. We are committed to creating a workplace where everyone feels valued, respected, and empowered to contribute their best work. Our culture is characterized by:

  • A focus on solving challenging problems with innovative solutions
  • A collaborative and supportive team environment
  • A commitment to sustainability and responsible technology development
  • A culture of continuous learning and improvement
  • A dedication to providing employees with the resources and support they need to succeed

How to Apply

If you are a passionate and driven engineering leader who is excited about the opportunity to shape the future of AI, we encourage you to apply. To apply for the Engineering Manager, Managed AI position, please submit your resume and cover letter through our online application portal. In your cover letter, please highlight your relevant experience, skills, and accomplishments, and explain why you are interested in working at Crusoe.

FAQ

  1. What is Crusoe's mission?

    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.

  2. What type of work will I be doing?

    You will be leading a team building our next-generation platform for the full lifecycle of Large Language Models (LLMs), designing and implementing highly scalable, fault-tolerant infrastructure.

  3. What are the key responsibilities of this role?

    Leading and mentoring a team of engineers, defining and executing the AI roadmap, overseeing architecture and development of core AI services, and collaborating with cross-functional teams.

  4. What qualifications are required for this role?

    5+ years managing engineering teams, hands-on experience with distributed systems, deep knowledge of cloud-native environments, and strong collaboration skills.

  5. What is the work environment like?

    Crusoe fosters a high-performance, collaborative engineering culture grounded in technical excellence. This role requires on-site presence in San Francisco or Sunnyvale, California.

  6. What are the preferred qualifications?

    Background in Computer Science or related field, proficiency in Python/GoLang/Rust, and experience with CPU & GPU performance or LLM systems.

  7. What is the salary range for this position?

    The estimated salary range is $180,000 to $280,000 per year, depending on experience and qualifications.

  8. What benefits does Crusoe offer?

    Crusoe offers comprehensive health, dental, and vision insurance, generous paid time off, a 401(k) plan, professional development opportunities, and more.

  9. How does this role impact Crusoe's mission?

    This role is critical in building the infrastructure that powers Crusoe's AI initiatives, directly contributing to accelerating the abundance of energy and intelligence.

  10. What are the growth opportunities within this role?

    Opportunities to manage larger teams, lead multiple teams, or specialize in specific areas of AI infrastructure. Crusoe supports employee career growth through mentorship and training programs.

Locations

  • San Francisco, California, United States
  • Sunnyvale, California, United States

Salary

Estimated Salary Rangemedium confidence

198,000 - 308,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Team Leadershipintermediate
  • Software Engineering Managementintermediate
  • AI Roadmap Definitionintermediate
  • Technical Executionintermediate
  • Scalable Systems Developmentintermediate
  • Fault-Tolerant Infrastructureintermediate
  • API Managementintermediate
  • Cross-functional Collaborationintermediate
  • Product Managementintermediate
  • Infrastructure Managementintermediate
  • Go-to-Market Strategyintermediate
  • Knowledge Sharingintermediate
  • Technical Mentorshipintermediate
  • Engineering Process Improvementintermediate
  • Distributed Systemsintermediate
  • Concurrent Systemsintermediate
  • Cloud-Native Environmentsintermediate
  • Container Orchestrationintermediate
  • Service-Oriented Architectures (SOAs)intermediate
  • Pythonintermediate
  • GoLangintermediate
  • Rustintermediate

Required Qualifications

  • 5+ years managing/leading high-performing engineering teams (experience)
  • Experience leading teams through ambiguity (experience)
  • Experience aligning teams on complex technical goals (experience)
  • Proven success hiring, developing, and retaining talent (experience)
  • Hands-on experience with distributed and concurrent systems or AI infrastructure (experience)
  • Deep knowledge of cloud-native environments, container orchestration, and SOAs (experience)
  • Familiarity with CPU & GPU performance, inference frameworks, or LLM systems (experience)
  • Experience owning deliverables from design through production (experience)
  • Strong collaboration skills (experience)
  • Experience prioritizing clarity, context, and customer impact (experience)
  • Experience in fast-paced startup or growth-stage environments (experience)
  • Background in Computer Science, Engineering, or a related technical field (experience)
  • Proficiency in Python/GoLang/Rust (experience)

Responsibilities

  • Lead, mentor, and grow a team of high-caliber software engineers
  • Partner with leadership to define and execute the AI roadmap
  • Set clear goals and drive accountability within the engineering team
  • Cultivate a high-performance, collaborative engineering culture grounded in technical excellence
  • Oversee the architecture and development of core AI services (fault-tolerant task queues, model management systems, cost-aware scheduling, etc.)
  • Ensure the delivery of scalable systems capable of handling millions of API requests per second
  • Deliver an AI platform that can handle a large variety of load from training to agentic execution infrastructure
  • Work cross-functionally with Product, Infrastructure, and Go-to-Market stakeholders
  • Represent Engineering in strategic discussions to influence AI platform growth and customer adoption
  • Promote knowledge sharing within the engineering organization
  • Provide technical mentorship to team members
  • Drive the evolution of engineering processes to improve efficiency and quality
  • Shape the engineering roadmap for the Managed AI team
  • Drive the execution of key projects related to the AI platform

Benefits

  • general: Competitive salary and equity package
  • general: Comprehensive health, dental, and vision insurance
  • general: Generous paid time off and holidays
  • general: 401(k) retirement plan with company match
  • general: Professional development opportunities
  • general: Opportunity to work on cutting-edge technology
  • general: Collaborative and supportive work environment
  • general: Opportunity to make a significant impact on the future of AI
  • general: Company-sponsored events and activities
  • general: Commuter benefits
  • general: Healthy snacks and drinks provided
  • general: Employee assistance program
  • general: Flexible work arrangements
  • general: Relocation assistance (if applicable)
  • general: Life insurance
  • general: Disability insurance

Target Your Resume for "Engineering Manager, Managed AI Careers at Crusoe - San Francisco, California | Apply Now!" , Crusoe

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EngineeringAIManagementCloudFull-timeOn-siteEngineering ManagerAI EngineeringManaged AILarge Language ModelsLLM InfrastructureSan FranciscoSunnyvaleCaliforniaAI PlatformCloud ComputingDistributed SystemsScalable SystemsFault-Tolerant SystemsTeam LeadershipSoftware Engineering ManagementAI RoadmapTechnical ExecutionAPI ManagementCrusoe EnergyAI CareersMachine LearningDeep LearningInference FrameworksGPU PerformancePythonGoLangRustGreen TechAI InfrastructureCloudEngineering

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Crusoe logo

Engineering Manager, Managed AI Careers at Crusoe - San Francisco, California | Apply Now!

Crusoe

Engineering Manager, Managed AI Careers at Crusoe - San Francisco, California | Apply Now!

full-timePosted: Feb 9, 2026

Job Description

Engineering Manager, Managed AI at Crusoe

Role Overview

As an Engineering Manager on the Managed AI team at Crusoe, you will be at the forefront of building the next generation platform for Large Language Models (LLMs). This role demands a leader who can blend technical expertise with exceptional people management skills. You'll guide a team of highly skilled engineers in designing and implementing scalable, resilient infrastructure. The position is vital for Crusoe's growth, requiring you to shape the engineering roadmap and drive the execution of key projects in partnership with product, business, and platform stakeholders. Your ultimate goal is to deliver a reliable and performant AI platform that powers AI solutions for customers globally.

A Day in the Life

Your day will involve a mix of strategic planning, technical guidance, and team management. You might start by reviewing the team's progress on current projects, identifying and addressing any roadblocks. You’ll then collaborate with product managers to refine the product roadmap, ensuring alignment with business objectives. A significant portion of your time will be spent mentoring engineers, providing technical guidance, and fostering a collaborative team environment. You’ll also participate in architectural discussions, code reviews, and performance analysis to maintain the high standards of the platform. Finally, you'll dedicate time to hiring and onboarding new team members, ensuring the team continues to grow with top talent.

Why San Francisco/Sunnyvale?

San Francisco and Sunnyvale are hubs of technological innovation, particularly in the field of Artificial Intelligence. Being located in either of these cities provides unparalleled access to a thriving tech ecosystem, including potential partners, talent, and cutting-edge research. The proximity to top universities and research institutions also facilitates continuous learning and development opportunities for the team. Additionally, the vibrant culture and diverse community of the Bay Area offer an attractive environment for both personal and professional growth. Crusoe’s presence in this region underscores its commitment to attracting and retaining the best talent in the industry.

Career Path

The Engineering Manager role at Crusoe offers a clear path for career advancement. Successful performance in this role can lead to opportunities to manage larger teams, lead multiple engineering teams as a Senior Engineering Manager, or transition into a Director of Engineering position. Furthermore, there are opportunities to specialize in specific areas of AI infrastructure, such as model deployment, distributed training, or platform scalability. Crusoe is committed to providing its employees with the resources and support necessary to achieve their career goals, including mentorship programs, leadership training, and opportunities to participate in strategic initiatives.

Salary & Benefits

Crusoe offers a competitive salary and benefits package that reflects the value we place on our employees. The estimated salary range for this position in the San Francisco/Sunnyvale area is $180,000 to $280,000 per year, commensurate with experience and qualifications. In addition to salary, Crusoe provides a comprehensive benefits package, including:

  • Comprehensive health, dental, and vision insurance
  • Generous paid time off and holidays
  • 401(k) retirement plan with company match
  • Professional development opportunities
  • Company-sponsored events and activities
  • Commuter benefits
  • Healthy snacks and drinks provided
  • Employee assistance program
  • Flexible work arrangements

Crusoe Culture

Crusoe is a mission-driven company that values innovation, collaboration, and sustainability. We are committed to creating a workplace where everyone feels valued, respected, and empowered to contribute their best work. Our culture is characterized by:

  • A focus on solving challenging problems with innovative solutions
  • A collaborative and supportive team environment
  • A commitment to sustainability and responsible technology development
  • A culture of continuous learning and improvement
  • A dedication to providing employees with the resources and support they need to succeed

How to Apply

If you are a passionate and driven engineering leader who is excited about the opportunity to shape the future of AI, we encourage you to apply. To apply for the Engineering Manager, Managed AI position, please submit your resume and cover letter through our online application portal. In your cover letter, please highlight your relevant experience, skills, and accomplishments, and explain why you are interested in working at Crusoe.

FAQ

  1. What is Crusoe's mission?

    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.

  2. What type of work will I be doing?

    You will be leading a team building our next-generation platform for the full lifecycle of Large Language Models (LLMs), designing and implementing highly scalable, fault-tolerant infrastructure.

  3. What are the key responsibilities of this role?

    Leading and mentoring a team of engineers, defining and executing the AI roadmap, overseeing architecture and development of core AI services, and collaborating with cross-functional teams.

  4. What qualifications are required for this role?

    5+ years managing engineering teams, hands-on experience with distributed systems, deep knowledge of cloud-native environments, and strong collaboration skills.

  5. What is the work environment like?

    Crusoe fosters a high-performance, collaborative engineering culture grounded in technical excellence. This role requires on-site presence in San Francisco or Sunnyvale, California.

  6. What are the preferred qualifications?

    Background in Computer Science or related field, proficiency in Python/GoLang/Rust, and experience with CPU & GPU performance or LLM systems.

  7. What is the salary range for this position?

    The estimated salary range is $180,000 to $280,000 per year, depending on experience and qualifications.

  8. What benefits does Crusoe offer?

    Crusoe offers comprehensive health, dental, and vision insurance, generous paid time off, a 401(k) plan, professional development opportunities, and more.

  9. How does this role impact Crusoe's mission?

    This role is critical in building the infrastructure that powers Crusoe's AI initiatives, directly contributing to accelerating the abundance of energy and intelligence.

  10. What are the growth opportunities within this role?

    Opportunities to manage larger teams, lead multiple teams, or specialize in specific areas of AI infrastructure. Crusoe supports employee career growth through mentorship and training programs.

Locations

  • San Francisco, California, United States
  • Sunnyvale, California, United States

Salary

Estimated Salary Rangemedium confidence

198,000 - 308,000 USD / yearly

Source: ai estimated

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Team Leadershipintermediate
  • Software Engineering Managementintermediate
  • AI Roadmap Definitionintermediate
  • Technical Executionintermediate
  • Scalable Systems Developmentintermediate
  • Fault-Tolerant Infrastructureintermediate
  • API Managementintermediate
  • Cross-functional Collaborationintermediate
  • Product Managementintermediate
  • Infrastructure Managementintermediate
  • Go-to-Market Strategyintermediate
  • Knowledge Sharingintermediate
  • Technical Mentorshipintermediate
  • Engineering Process Improvementintermediate
  • Distributed Systemsintermediate
  • Concurrent Systemsintermediate
  • Cloud-Native Environmentsintermediate
  • Container Orchestrationintermediate
  • Service-Oriented Architectures (SOAs)intermediate
  • Pythonintermediate
  • GoLangintermediate
  • Rustintermediate

Required Qualifications

  • 5+ years managing/leading high-performing engineering teams (experience)
  • Experience leading teams through ambiguity (experience)
  • Experience aligning teams on complex technical goals (experience)
  • Proven success hiring, developing, and retaining talent (experience)
  • Hands-on experience with distributed and concurrent systems or AI infrastructure (experience)
  • Deep knowledge of cloud-native environments, container orchestration, and SOAs (experience)
  • Familiarity with CPU & GPU performance, inference frameworks, or LLM systems (experience)
  • Experience owning deliverables from design through production (experience)
  • Strong collaboration skills (experience)
  • Experience prioritizing clarity, context, and customer impact (experience)
  • Experience in fast-paced startup or growth-stage environments (experience)
  • Background in Computer Science, Engineering, or a related technical field (experience)
  • Proficiency in Python/GoLang/Rust (experience)

Responsibilities

  • Lead, mentor, and grow a team of high-caliber software engineers
  • Partner with leadership to define and execute the AI roadmap
  • Set clear goals and drive accountability within the engineering team
  • Cultivate a high-performance, collaborative engineering culture grounded in technical excellence
  • Oversee the architecture and development of core AI services (fault-tolerant task queues, model management systems, cost-aware scheduling, etc.)
  • Ensure the delivery of scalable systems capable of handling millions of API requests per second
  • Deliver an AI platform that can handle a large variety of load from training to agentic execution infrastructure
  • Work cross-functionally with Product, Infrastructure, and Go-to-Market stakeholders
  • Represent Engineering in strategic discussions to influence AI platform growth and customer adoption
  • Promote knowledge sharing within the engineering organization
  • Provide technical mentorship to team members
  • Drive the evolution of engineering processes to improve efficiency and quality
  • Shape the engineering roadmap for the Managed AI team
  • Drive the execution of key projects related to the AI platform

Benefits

  • general: Competitive salary and equity package
  • general: Comprehensive health, dental, and vision insurance
  • general: Generous paid time off and holidays
  • general: 401(k) retirement plan with company match
  • general: Professional development opportunities
  • general: Opportunity to work on cutting-edge technology
  • general: Collaborative and supportive work environment
  • general: Opportunity to make a significant impact on the future of AI
  • general: Company-sponsored events and activities
  • general: Commuter benefits
  • general: Healthy snacks and drinks provided
  • general: Employee assistance program
  • general: Flexible work arrangements
  • general: Relocation assistance (if applicable)
  • general: Life insurance
  • general: Disability insurance

Target Your Resume for "Engineering Manager, Managed AI Careers at Crusoe - San Francisco, California | Apply Now!" , Crusoe

Get personalized recommendations to optimize your resume specifically for Engineering Manager, Managed AI Careers at Crusoe - San Francisco, California | Apply Now!. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Engineering Manager, Managed AI Careers at Crusoe - San Francisco, California | Apply Now!" , Crusoe

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

EngineeringAIManagementCloudFull-timeOn-siteEngineering ManagerAI EngineeringManaged AILarge Language ModelsLLM InfrastructureSan FranciscoSunnyvaleCaliforniaAI PlatformCloud ComputingDistributed SystemsScalable SystemsFault-Tolerant SystemsTeam LeadershipSoftware Engineering ManagementAI RoadmapTechnical ExecutionAPI ManagementCrusoe EnergyAI CareersMachine LearningDeep LearningInference FrameworksGPU PerformancePythonGoLangRustGreen TechAI InfrastructureCloudEngineering

Answer 10 quick questions to check your fit for Engineering Manager, Managed AI Careers at Crusoe - San Francisco, California | Apply Now! @ Crusoe.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.