Sr. Product Manager, Data Engineering

August 14

🏢 In-office - San Francisco

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Logo of Databricks

Databricks

Databricks is the lakehouse company$1. .$1

Apache Spark • Apache Spark Training • Cloud Computing • Big Data • Data Science

1001 - 5000

💰 $1.6G Series H on 2021-08

Description

• Lead product management for one of the fastest growing businesses at Databricks • Make company wide impact by driving Data Engineering across the Databricks product portfolio • Develop and deepen understanding of and expertise in Data Engineering, a foundational domain in the data and AI industry • Define, shape, and drive the future of data processing, data applications, and data pipelines • Own the full life cycle of product development from ideation to requirements, development, pricing, launch, and go-to-market.

Requirements

• 5+ years of product management and related experience with enterprise or SaaS products. • Educational or professional background in computer science or related engineering fields. • Ability to partner with senior technical leaders from Engineering, while going deep on technical concepts. • Track record of delivering products with cross-functional teams common to enterprise software industry (field engineering, sales, marketing, partnerships, etc.) • Analytical skills to make data-driven decisions (e.g. analyze product usage) • Excellent communication skills to clearly and concisely communicate complex topics to diverse stakeholders (engineers, customers, etc.) in written and verbal form • A background in Data Engineering is a plus but not required.

Benefits

• Comprehensive health coverage including medical, dental, and vision • 401(k) Plan • Equity awards • Flexible time off • Paid parental leave • Family Planning • Gym reimbursement • Annual personal development fund • Employee Assistance Program (EAP)

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