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Sr. Product Designer, AI/BI

Databricks 🇺🇸 Mountain View, California, United States of America

$137,600 - $199,100 Full-time Senior

Design intuitive AI and business intelligence experiences that help technical and non-technical users explore data, understand trustworthy AI-generated insights, and take action. Lead end-to-end design and help shape AI-native enterprise design patterns and the long-term AI/BI strategy.

Responsibilities

  • Design intuitive AI and business intelligence experiences that help technical and non-technical users explore data, understand trustworthy AI-generated insights, and take action. Lead end-to-end design and help shape AI-native enterprise design patterns and the long-term AI/BI strategy.

Requirements

  • Requires 5+ years of product design experience, a bachelor's degree or equivalent in a relevant discipline, and a portfolio demonstrating end-to-end design work. Candidates should have experience shipping digital products, leading complex design projects, and combining strong visual and interaction design with research, data-driven UX, and technical understanding.

Benefits

  • Annual Performance Bonus
  • Equity

Key Skills

Product design AI and business intelligence UX Data visualization Figma User research Interaction design Visual design Design systems Prototyping Data‑driven UX Complex design project leadership Collaboration with engineering Portfolio presentation Problem solving Communication

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).

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