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60 Databricks Product Development Jobs Hiring Near You

Databricks

Staff Partner Engineer, Azure

New York, NY · On-site

Own the Databricks-Azure product-to-cloud technical roadmap, serving as the primary interface ... Familiarity with modern development workflows and AI-assisted development tools (Cursor, Claude ...

Databricks

Staff Partner Engineer, Azure

New York, NY · On-site

$150K - $206K/yr

... product integrations between major platforms. * Familiarity with modern development workflows and AI-assisted development tools (Cursor, Claude Code, Codex). Pay Range Transparency Databricks is ...

Databricks

Engineering Manager - Streaming

Bellevue, WA · On-site

$181K - $253K/yr

We're seeking a dedicated Engineering Leader to spearhead Spark™ Structured Streaming development ... Make company wide impact by driving Stream Processing adoption across the Databricks product ...

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Databricks Jobs Information

What is it like to work at Databricks?

Databricks is known for its collaborative and innovative culture, prioritizing teamwork, open communication, and continuous learning. The company's structure is designed to foster a sense of community, with cross-functional teams working together to drive product development and customer success, often in an open and modern office environment. Working at Databricks may appeal to candidates who are passionate about data and AI, as the company offers opportunities to work on cutting-edge projects, collaborate with industry experts, and contribute to the growth of a rapidly expanding field.
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Infographic showing various Product Development job openings at Databricks in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 88% Physical, and 12% Remote job distribution.
Sr. Product Manager, Data Engineering

Sr. Product Manager, Data Engineering

Databricks

San Francisco, CA • On-site

$149K - $196K/yr

Other

Posted 23 days ago

Job description

P-8

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 foundational and among the largest scale workloads on the Databrick Data Intelligence Platform. We are reinventing Data Engineering with Lakeflow - a unified product and experience for simple data ingestion, declarative data transformation, and real-time streaming. In this role, you will lead product management for a core Lakeflow product 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, business intelligence, and machine learning products.

The impact you will have

  • Lead product management for one of the fastest growing products and 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.

What We Look For

  • 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.

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