Product Design New Grad (2027 Start)
full-timePosted 1w ago
About the role
Associate Product Designer for Databricks' 2027 APD cohort. Join cross-functional teams to build features on the Databricks platform, manage projects end-to-end, conduct customer research, and collaborate with engineers, designers, and product teams.
Responsibilities
- Work with a cross-functional team to build features for the Databricks platform
- Manage your project end-to-end, from discovery and ideation through final design prototype for engineering to implement from
- Work with engineers and designers to ship features on the Databricks platform
- Conduct research with customers to better understand their needs and improve your design
Qualifications
- You will graduate in Fall 2026 or Spring 2027 with a bachelors or masters degree in HCI or related design practice
- You have the demonstrated ability to leverage AI tooling in your design process without sacrificing craft.
- You use good judgement in visual hierarchy, layout, and information architecture to inform your design work.
- You have some first hand experience with SQL and/or Python
- You're hands-on and learn by doing — happy to build, test, and iterate your way to an answer
- You use analytical skills to make data-driven decisions (e.g. analyzing product usage, conducting user experience research)
- You can make complex topics simple and communicate your design perspective to partners (engineers, customers, field) in both written and verbal form
- You're excited to solve ambiguous problems with a collaborative team
- You stay curious and keep learning, whether it's a new technology, a customer's domain, or a corner of the product you haven't touched
Benefits
- For specific details on the benefits offered in your region click here
Last updated Oct 15, 2026. Interested? Apply on the company site.
About Databricks
Leading Data and AI Platform for Enterprises
Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.
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