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20 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

Sr. Forward Deployed Engineer-Retail

Denver, CO · On-site

$107K - $147K/yr

... development. We work cross-functionally to shape long-term strategic priorities and initiatives ... Work with Engineering and Databricks Customer Support to provide product and implementation ...

Databricks

Sr. Forward Deployed Engineer-Retail

Chicago, IL · On-site

$107K - $147K/yr

... development. We work cross-functionally to shape long-term strategic priorities and initiatives ... Work with Engineering and Databricks Customer Support to provide product and implementation ...

All JobsDatabricks Product Development Jobs

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.
What are the most popular jobs at Databricks?
What are the most popular categories at Databricks?
Infographic showing various Product Development job openings at Databricks in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 94% Physical, and 6% Remote job distribution.
Sr. Product Manager, Data Engineering

Sr. Product Manager, Data Engineering

Databricks

San Francisco, CA • On-site

$149K - $196K/yr

Full-time

Posted 3 days ago

Job description

Job Summary:
Databricks is a data and AI company that empowers data teams to tackle significant challenges through their advanced data and AI infrastructure platform. The Sr. Product Manager for Data Engineering will lead product management for the Lakeflow product area, overseeing the entire lifecycle from vision to go-to-market strategies, while collaborating with various product teams to enhance the overall Databricks product portfolio.
Responsibilities:
• 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.
Qualifications:
Required:
• 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.
Preferred:
• A background in Data Engineering is a plus but not required.
Company:
Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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