Manager, Data Engineering

What You’ll Do

• 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 the clean, documented tables that analysts and data scientists actually work from — not raw dumps
• Own data quality end-to-end: schema management, freshness monitoring, lineage tracking, and alerting when something breaks
• Partner with engineering and GTM teams to instrument what isn't already tracked
• Work closely with product, infra, and ML teams, primarily unblocking them

What You’ll Need

• 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

Benefits and Perks

• Comprehensive medical, dental and vision coverage (U.S.)
• Retirement and financial wellness support (U.S.)
• Generous paid time off, plus holidays
• Paid parental leave
• Professional development support
• Wellness and work-from-home stipends
• Flexible work environment