Sr. Product Manager, Data Engineering
-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
What this role actually needs.
-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 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 Company context: Databricks is the data and AI lakehouse platform used by the world's largest enterprises for analytics, ML, and generative AI.
What a strong candidate brings
These requirements are extracted from the source listing and normalized for UpJobz readers.
- 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
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Sr. Product Manager, Data Engineering is framed against UpJobz source checks, country scope, compensation visibility, and work-authorization signals so candidates can make a faster go/no-go decision.
United States tech market
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Compensation read
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On-site roles in San Francisco should be compared against commute, local salary bands, and nearby employer demand.
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- Compensation is hidden, so get range clarity in the first recruiter conversation.
- Use open to tn, h-1b, and opt candidates already in the united states as part of your positioning so the recruiter does not have to infer it.
- Show concrete examples of succeeding in on-site environments.
Keywords to match against your background
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Apply through the employer source
Open the source listing from databricks.com, confirm the role is still active, then apply on the employer or ATS page.
Source: databricks.com · Source ID: 6322654002 · Confidence: 93/100 · Last checked: May 7, 2026
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