Sr. Product Designer, AI/BI
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design AI/BI experiences that make analytics and generative AI intuitive, trustworthy and actionable for technical and non-technical users. You'll reimagine how people explore data in natural language, make AI-generated insights transparent, and help users move from exploration to validation to action. You'll work closely with product and engineering teams based in Seattle and help define new design patterns for AI-native enterprise software.
Requirements
- 5+ years of product design experience
- Bachelor's degree or equivalent in HCI, Interaction Design, graphic design, computer science or related
- Comfortable talking to strategic customers in decision-making positions
- Experience shipping digital products from idea to GA
- Ability to lead large complex design projects and balance diverse stakeholders
- Data-driven, well-researched UX process with strong visual and interaction work
- Systems thinking
- Portfolio showcasing end-to-end design process
- Nice to have: Cloud, Developer Experience, AI or Big Data product design experience
- Nice to have: React, SQL, CSS and/or Python coding
Responsibilities
- Reimagine how users explore data using natural language and AI assistance
- Design interactions that make AI-generated insights transparent and trustworthy
- Create experiences that move from exploration to validation to action
- Enable collaboration between data engineers, analysts and business leaders
- Define new design patterns for AI-native enterprise software
- Influence long-term AI/BI strategy
- Work closely with product and engineering teams
Benefits
- Annual performance bonus eligibility
- Equity eligibility