Senior Product Manager, Data Engineering

Responsibilities

• Lead product management for core Lakeflow product areas
• Own vision, strategy, roadmap, execution, and go-to-market for data engineering products
• Partner with product teams to enable data engineering across the Databricks portfolio
• Drive the future of data processing, applications, and pipelines
• Manage the full product lifecycle from ideation to launch

Requirements

• 5+ years of product management experience with enterprise or SaaS products
• Educational or professional background in computer science or engineering
• Ability to partner with senior technical leaders and dive deep into technical concepts
• Track record of delivering products with cross-functional teams
• Strong analytical skills for data-driven decision making
• Excellent written and verbal communication skills

Preferred Qualifications

• Background in Data Engineering

About the Company

Databricks is the data and AI company. More than 10,000 organizations worldwide rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI.