Engineering Manager, AI Deployment

ProducePay

United States

On-site

USD 200,000 - 240,000

Full time

5 days ago
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Benefits offered by this job

Competitive compensation and equity
Paid time off
Comprehensive health, dental & vision
401(k) Retirement plan
Professional development & tuition
Volunteer time off

Job summary

Crusoe is seeking an Engineering Manager, Deployment to lead a global deployment team driving HPC and GPU-based AI infrastructure rollout. You will oversee hires, processes, and delivery across sites, ensuring scalable, automated turn-up and strong performance against SLAs.

You will partner with Data Center Ops, Supply Chain, and Site Reliability to implement standards, monitor risk, and drive continuous improvement while coaching engineers toward higher technical and leadership proficiency.

Qualifications

  • 6+ years of experience in network engineering or data center deployment.
  • 2+ years managing engineers in a large-scale infrastructure environment.
  • Bachelor's degree in a technical field or equivalent practical experience.
  • Strong leadership, communication, and program management skills.
  • Experience with frontend and backend reference architectures and automation.

Responsibilities

  • Build and lead your team across multiple sites and time zones.
  • Drive deployment automation adoption using ZTP, Ansible, and CI/CD pipelines.
  • Deliver on-time, zero-defect site builds and manage staffing.
  • Turn deployment strategy into executable plans with leadership input.
  • Provide program status reports and risk escalation to leadership.
  • Manage vendor and partner performance against SLAs and escalation processes.
  • Champion validation rigor with SAT standards and handoff quality.

Skills

People Leadership
Program Execution
Technical Fluency
Automation Fluency
Vendor Management
Communication

Education

Bachelor's degree in technical field

Tools

Python
Ansible
CI/CD

Job description

Crusoe is seeking an Engineering Manager, Deployment to lead a global deployment team driving HPC and GPU-based AI infrastructure rollout. You will oversee hires, processes, and delivery across sites, ensuring scalable, automated turn-up and strong performance against SLAs.

You will partner with Data Center Ops, Supply Chain, and Site Reliability to implement standards, monitor risk, and drive continuous improvement while coaching engineers toward higher technical and leadership proficiency.

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