Staff Product Designer, Agentic Coding

Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.

Series F+0 current maintainers0 active leads
160 Spear Street, Suite 1300, San Francisco, CA 94105, United States
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.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will be the IC design lead for how humans and fleets of agents work together on Omnigent. You'll own desktop and mobile experiences for live agent sessions, design directly in the codebase, prototype to explore ambiguous problems, invent interaction language for agentic work, define UX principles, keep the design system consistent, and ground decisions in evidence.

Requirements

  • Builder-designer fluent with AI tools
  • Portfolio of end-to-end craft in interaction design, UI polish, and design systems
  • Staff-level scope and impact shipping complex developer products
  • Self-directed and comfortable with ambiguity
  • Strong collaborator with engineering and product
  • Nice to have: experience designing coding tools, IDEs, agent frameworks, or developer platforms
  • Nice to have: familiarity with multi-agent systems, LLM harnesses, governance/observability tooling

Responsibilities

  • Own the desktop and mobile experience for live agent sessions end to end
  • Design directly in the codebase for well-scoped changes
  • Build interactive prototypes to explore and align on direction
  • Invent interaction language for agentic work
  • Define durable UX principles and interaction frameworks
  • Drive cross-platform consistency with a scalable design system
  • Ground decisions in research and usage evidence

Benefits

  • Eligibility for annual performance bonus
  • Equity