Databricks - Seattle, WA

posted 3 months ago

Full-time - Mid Level
Seattle, WA
5,001-10,000 employees
Professional, Scientific, and Technical Services

About the position

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Data Engineering is one of the fastest growing product areas of the Databrick Lakehouse platform. We are innovating towards simple data ingestion, real-time stream processing, and a declarative framework and experience for ETL. In this role, you will lead product management for a core Data Engineering area. You will own and drive all aspects of product management including vision, strategy, roadmap, execution, and go-to-marketing. In addition, you will partner closely with various Databricks product teams to enable Data Engineering for the overall Databrick product portfolio including data science, data warehousing, and machine learning products. You will lead product management for one of the fastest growing businesses at Databricks, making company-wide impact by driving Data Engineering across the Databricks product portfolio. You will develop and deepen your understanding of and expertise in Data Engineering, a foundational domain in the data and AI industry. Your responsibilities will include defining, shaping, and driving the future of data processing, data applications, and data pipelines. You will own the full life cycle of product development from ideation to requirements, development, pricing, launch, and go-to-market.

Responsibilities

  • Lead product management for a core Data Engineering area.
  • Own and drive all aspects of product management including vision, strategy, roadmap, execution, and go-to-market.
  • Partner closely with various Databricks product teams to enable Data Engineering for the overall Databrick product portfolio.
  • 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.

Nice-to-haves

  • 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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