databricks
Sr. Product Designer, Enterprise Platform
At a Glance
- Location
- Mountain View, California; San Francisco, California
- Experience
- 5+ years
- Posted
- 2026-03-23T20:27:01-04:00
Key Requirements
Required Skills
Domain Knowledge
- Engineering
- Government
- Regulatory
Benefits & Perks
e strive to provide comprehensive benefits and perks that meet the needs of all of
Requirements
5+ years of product design work experience.
Experience shipping great digital products.
We strongly believe that a designer’s involvement never stops.
Demonstrated ability to lead large and complex design projects and balance the needs of diverse stakeholders.
Can execute beautiful visual and interaction work that’s rooted in a data-driven and well-researched UX process.
A system thinker who has the vision to design the big picture, and the tactical ability to break it down so that engineering can succeed in building it incrementally.
Compensation & Benefits
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page
here
.
$153,000
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Team
The Enterprise platform UX team is responsible for driving the user experience across critical enterprise concerns, specifically focusing on
governance
,
security
, and
platform observability
About the Company
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on
,
and