The opportunity
Crusoe is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads.
What you'll do
Team Leadership & Mentorship: Manage, coach, and grow a team of data engineers. Conduct regular 1:1s, provide career development guidance, and foster a culture of high performance and psychological safety.
Strategic Roadmap: Partner with Product, Data Science, and Cloud Leadership to define the long-term vision and quarterly OKRs for the data platform.
Technical Oversight: While you may not be writing code daily, you will participate in design reviews and ensure the team is building scalable, maintainable architectures (Data Lakes, Warehouses, and ETL frameworks).
Operational Excellence: Drive engineering best practices, including CI/CD, data quality monitoring (observability), and incident management processes.
Recruitment: Lead the hiring process to scale the team, focusing on: attracting diverse, world-class engineering talent.
Cross-Functional Partnership: Act as the primary point of contact for data stakeholders across the company, ensuring the data team is unblocked and focused on the highest-priority initiatives.
What they're looking for
- Leadership Experience: 5+ years of experience managing engineering teams, with a total of 7+ years in data engineering or software engineering.
- Technical Depth: A strong background in the modern data stack (Python, SQL, Airflow/Dagster, BigQuery/Snowflake,Kafka, Flink) and cloud infrastructure (GCP/AWS). You should be able to lead deep-dive technical discussions.
- Execution Focus: Proven track record of delivering complex, multi-quarter technical projects on time and at high quality.
- Communication: Exceptional ability to translate complex technical challenges into business impact for stakeholders and executives.
