Engineering Manager (Managed Services, Production Engineering)

Number of employees

780

San Francisco, CA - US, USA

Posted on: 2026-02-20

Category: energy

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Employment type:

Full time

Experience required:

Intermediate

Salary

Salary not provided

About the company:

Crusoe is the industry’s first vertically integrated, purpose-built AI cloud platform. The company is redefining AI cloud infrastructure and its platform is recognized as the "gold standard" among builders for its reliability and performance in developing, training, and deploying AI models. Powered by clean, renewable energy, Crusoe aligns the future of computing with the future of the climate. Leading Fortune 500 companies trust Crusoe’s advanced, AI-optimized cloud to support their most demanding AI applications.

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:

We're looking for a hands-on Engineering Manager to lead our Managed Services, Production Engineering team. Where you'll split your time between driving reliability improvements and leading a team of SREs embedded across Crusoe's managed AI and managed services offerings. You'll own the production health of the services Crusoe delivers to enterprise customers, including Managed Kubernetes, Managed Inference, and AutoClusters, partnering closely with embedded engineering teams to raise the bar on operational excellence, automation, and customer experience.

What You'll Be Working On:

  • Leading and growing a team of SREs embedded within Crusoe's Managed AI and Managed Services product areas, setting technical direction and fostering a culture of ownership and continuous improvement

  • Contributing as an IC — reviewing code, building tooling, and driving automation to reduce toil and improve the reliability and scalability of production managed services

  • Owning SLA/SLO performance, incident response, and on-call health for managed service offerings; leading blameless post-mortems and driving systemic remediation

  • Partnering with embedded product and platform engineering teams to influence infrastructure design, observability strategy, and operational readiness for new and existing managed services

  • Defining and tracking reliability, performance, and operational maturity metrics across the team; translating data into prioritized roadmap investments

  • Serving as a technical escalation point for high-severity production incidents affecting enterprise customers, and collaborating with Cloud Support and Customer Success on resolution and communication

What You'll Bring to the Team:

  • 5+ years of software or infrastructure engineering experience, with at least 1–2 years in an engineering management or tech lead role

  • Strong SRE or production engineering background — hands-on experience with incident management, SLO frameworks, runbooks, and on-call operations

  • Solid coding ability; comfortable writing production-grade code in Go, Python, or similar languages to build tooling and automation

  • Experience working with or embedding into cross-functional product teams, and influencing engineering decisions across organizational boundaries

  • Familiarity with container orchestration and cloud-native infrastructure — Kubernetes, distributed systems, and managed cloud service architectures

  • Strong communication skills — able to clearly represent technical risk and operational status to both engineering peers and business stakeholders

Bonus Points:

  • Experience with GPU infrastructure, AI/ML workloads, or inference serving platforms

  • Background in HPC orchestration tools such as Slurm or Ray

  • Prior experience at a cloud provider, AI infrastructure company, or hyperscaler

  • Familiarity with Crusoe's managed service stack or similar turn-key AI infrastructure offerings

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 $209,000 - $253,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, 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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