Engineering Manager Data Platform
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.
Maintainer signals as of 8/14/2026
Funding history
Projects
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.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You lead, coach, and grow a team of data engineers while providing career guidance and fostering high performance. You define the data platform roadmap and quarterly objectives, participate in architecture reviews, drive CI/CD and data quality practices, lead recruitment, partner with data stakeholders, and translate 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
