Manager, Data Engineering
About The Position
Lightning AI is seeking a Manager, Data Engineering to join their fast-paced team. The company is building an end-to-end platform for developing, training, and deploying AI systems. This role is crucial for scaling the data infrastructure to keep up with the rapid accumulation of GPU telemetry, product usage, and operational signals. As the first Data Engineering Manager, you will own data reliability across the company, ensuring clean tables, documented lineage, and efficient data flow. This is a high-scope, early-stage role reporting to the VP of Product, requiring a proactive approach to drive projects from conception to production.
Requirements
- 4+ years of experience managing analytics engineering or data engineering teams, preferably in a scaling startup environment
- 10+ years of total experience in analytics engineering, data engineering, or similar data-focused roles
- Deep expertise in data modeling, ETL pipelines, and data warehouse architecture
- Strong technical foundation with expertise in SQL, Python, and modern data stack tools (dbt, SQLMesh, etc.)
- Proven track record of building and leading high-performing teams
- Experience partnering with Data Science, Product, and Engineering leaders to deliver key product metrics and user behavior insights
- Demonstrated ability to balance strategic thinking with hands-on technical leadership
- Strong communication skills with the ability to translate complex technical concepts for diverse audiences
- Experience scaling analytics functions from early stage to maturity in rapidly changing environments
- Track record of establishing data governance, quality standards, and best practices
- A bias for action and urgency, not letting perfect be the enemy of the effective
- A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end
Responsibilities
- Design and own ETL/ELT pipelines that move GPU telemetry, product usage, operational data, and customer data from where it lives to where it's useful
- Build and maintain clean, documented tables for analysts and data scientists
- Own data quality end-to-end: schema management, freshness monitoring, lineage tracking, and alerting
- Partner with engineering and GTM teams to instrument data tracking
- Work closely with product, infra, and ML teams to unblock them
Benefits
- Discretionary bonus
- Meaningful equity component
- Comprehensive medical, dental and vision coverage (U.S.); Private medical and dental insurance (U.K.)
- Retirement and financial wellness support (U.S.); Pension contribution (U.K.)
- Generous paid time off, plus holidays
- Paid parental leave
- Professional development support
- Wellness and work-from-home stipends
- Flexible work environment
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What This Job Offers
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed
