Engineering Manager, Data Platform

Crusoe is an AI infrastructure and cloud computing company. It provides GPU cloud capacity, managed AI services, inference, fine-tuning, data centers, and energy infrastructure for AI developers and enterprise customers.

Maintainer signals as of 8/23/2026

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About Crusoe, Inc

Crusoe designs, builds, and operates energy-first AI infrastructure, including data centers, GPU cloud computing, and modular AI factories. Crusoe Cloud provides GPU clusters, managed Kubernetes and Slurm, storage, networking, observability, managed inference, serverless fine-tuning, and model deployment through Crusoe Intelligence Foundry. Its customers include AI startups, enterprises, and organizations developing training, inference, analytics, and other compute-intensive workloads.

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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

Lead, coach, and grow a team of data engineers while defining the data platform roadmap, driving architecture and operational excellence, leading recruitment, partnering with stakeholders, and translating technical challenges into business impact.

Requirements

  • 5+ years of experience managing engineering teams
  • 7+ years of experience in data engineering or software engineering
  • Background with Python, SQL, Airflow, Dagster, BigQuery, Snowflake, Kafka, and Flink
  • Experience with GCP or AWS cloud infrastructure
  • Track record of delivering complex multi-quarter technical projects
  • Ability to communicate technical challenges as business impact
  • Experience with mentorship and engineer development
  • Experience building data-driven cultures using metrics and rigorous testing

Responsibilities

  • Manage, coach, and grow a team of data engineers
  • Conduct regular one-to-one meetings
  • Provide career development guidance
  • Define the data platform vision and quarterly objectives
  • Participate in design reviews
  • Ensure scalable and maintainable data lake, warehouse, and ETL architectures
  • Drive CI/CD, data quality monitoring, and incident management
  • Lead recruitment for the data engineering team
  • Partner with data stakeholders across the company
  • Translate technical challenges into business impact

Benefits

  • Restricted Stock Units
  • Paid time off
  • Paid holidays
  • Leave of absence programs
  • Comprehensive health insurance
  • Dental insurance
  • Vision insurance
  • Employer HSA contributions
  • Paid parental leave
  • Paid life insurance
  • Short-term disability insurance
  • Long-term disability insurance
  • Professional development
  • 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
  • Emergency assistance
  • Daily meals allowance