Senior Engineering Manager, Global AI Deployment

Crusoe; Bellevue, Sunnyvale (WA, CA); On-site; USD 230,000 - 280,000; Full time

Benefits offered by this job

Competitive compensation

Equity

Paid time off

Health, dental & vision insurance

HSA contributions

Parental leave

401(k) with match

Professional development

Relocation assistance

Daily meals allowance

Global travel insurance

Job summary

Crusoe is seeking a Senior Engineering Manager, Deployment to lead a growing organization responsible for scaling our global HPC and GPU-based AI infrastructure deployments.

You will own people, processes, and delivery across multiple sites, partnering with leadership to ensure reliable execution at hyperscale pace, with a focus on automation and performance. This is a high-impact, cross-functional leadership role.

Qualifications

• 10+ years of experience in network engineering or data center deployment.
• 4+ years managing engineers or engineering managers.

Responsibilities

• Build and lead the deployment organization across sites and time zones.
• Own deployment automation and CI/CD pipelines for network turn-up.
• Manage on-time, zero-defect delivery across concurrent site builds.
• Translate strategy into execution with cross-functional alignment.
• Run executive-level cadence and risk escalation with leadership.
• Own vendor and partner performance and SLAs across field.
• Ensure SAT standards and validation across all sites.
• Plan capacity with Supply Chain and Infrastructure leadership.
• Develop the next layer of leaders for future scale.
• Define frontend and backend network reference architectures.

Skills

People leadership

Program ownership

Automation

Executive communication

Vendor leadership

Operational judgment

Technical fluency

Education

Bachelor's degree in a technical field

Tools

Python

Ansible

ZTP deployment automation

CI/CD

Job description

Crusoe is seeking a Senior Engineering Manager, Deployment to lead a growing organization responsible for scaling our global HPC and GPU-based AI infrastructure deployments.

You will own people, processes, and delivery across multiple sites, partnering with leadership to ensure reliable execution at hyperscale pace, with a focus on automation and performance. This is a high-impact, cross-functional leadership role.