As an Engineering Manager on CustomerLake at Databricks, you will lead the team responsible for building Profile Agents, which are essential for the Customer 360 platform. This role involves shaping the product vision, architecture, and engineering foundation of a new agentic customer data platform. You will have significant influence over the product's direction and quality, while also working closely with customers to prioritize engineering tasks. The position offers ample growth opportunities within a rapidly expanding team in a leading Data + AI company.

• 3+ years of engineering management experience leading high-performing engineering teams
• 8+ years of experience building and operating production data or distributed systems
• Experience building or leading teams that ship data engineering products such as ETL, MDM, or data quality tooling
• Hands-on experience applying agents or LLMs to data engineering problems like matching, entity resolution, or pipeline generation
• Genuine passion and prior experience taking a product from 0 to 1
• Ideally, some understanding of how customer data is used downstream in marketing, sales, and service
• A track record scaling complex data services to thousands of enterprise customers
• Experience managing multiple teams or other managers is a strong plus
• BS or higher in Computer Science or a related field, or equivalent experience

• Own delivery for Profile Agents, from identity resolution and agentic pipeline generation through to production-quality Customer 360 outputs
• Hire and grow a small, senior team, and build the foundation it scales from as the product moves out of private preview
• Help set technical direction with product and the VP of Engineering
• Build the quality bar for agent-generated pipelines, determining where agents act autonomously and where human review is needed
• Work directly with customers and design partners to turn their Customer360 problems into engineering priorities