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Senior Manager Engineering Operations

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Crusoe

Crusoe is an AI infrastructure company that designs, builds, and operates AI data centers and a cloud platform. It provides managed AI services, GPU compute, model fine-tuning and inference, and infrastructure operations for organizations building and deploying AI workloads.

Series C13 current maintainers10 active leads5 new active leads9 lead step-downs1 early lead departureTeam intelligence

Maintainer signals as of 8/12/2026

Distributed
About Crusoe

Crusoe, the AI factory company, provides Crusoe Cloud and Crusoe Intelligence Foundry for AI development and production. Its offerings include managed inference, serverless fine-tuning, high-performance NVIDIA and AMD compute, accelerated storage, RDMA networking, managed Kubernetes and Slurm, and operations tooling. The company also designs, builds, and operates modular AI data-center infrastructure using an energy-first approach, serving customers that need scalable training, inference, and AI platform infrastructure.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will drive engineering operations programs that improve KPI infrastructure, operational visibility, cross-team coordination, and deployment execution. You will support strategic initiatives, maintain accurate operational data, enforce quality hand-offs between teams, resolve deployment issues, and evolve the end-to-end deployment process as the organization grows.

Requirements

  • 12+ years in software engineering, technical program management, or a technical product role
  • 5+ years of experience managing teams
  • Experience in high-growth infrastructure environments
  • Experience coordinating across teams without formal authority
  • Ability to analyze multi-source operational data
  • Understanding of the data center build lifecycle
  • Experience with cloud providers or similar infrastructure environments
  • Experience with data center deployment or build-to-turnup processes
  • Familiarity with incident management platforms

Responsibilities

  • Run programs that improve KPI infrastructure
  • Support strategic projects and cross-cutting initiatives
  • Partner with engineering, SRE, customer success, and data engineering teams
  • Improve operational data accuracy and reporting consistency
  • Build a single-pane-of-glass view of organizational health and deployments
  • Ensure quality hand-offs between teams
  • Coordinate resources to deliver compute capacity to customers
  • Own and evolve the deployment process end to end

Benefits

  • Competitive compensation and equity packages
  • Restricted Stock Units
  • Paid time off
  • Paid holidays
  • Leave of absence programs
  • Comprehensive health, dental and vision insurance
  • Employer HSA contributions
  • Paid parental leave
  • Paid life insurance
  • Short-term and long-term disability insurance
  • Professional development and tuition reimbursement
  • Mental health and wellness support
  • Commuter benefits
  • Cell phone stipend
  • 401(k) retirement plan with company match up to 4% of salary
  • Volunteer time off
  • Global travel insurance and emergency assistance
  • Daily meals allowance