Staff Product Designer - AI Tools & Agent Platforms

Neon

San Francisco (CA)

On-site

USD 128,000 - 229,000

Full time

12 days ago
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Job summary

Databricks in San Francisco is seeking an IC design lead to shape how humans and fleets of agents work together on Omnigent, shipping small changes directly in the codebase and prototyping through big, ambiguous problems that lack a formal spec.

You will own the desktop and mobile experiences, partner with engineering and product, and translate the frontier of what agents can do into clear, controllable, and trustworthy user experiences across platforms.

Qualifications

  • A builder-designer who works fluently with AI tools.
  • A portfolio of strong end-to-end craft - interaction design, visual/UI polish, and design-systems thinking.
  • Staff-level scope and impact.
  • Self-directed, and comfortable in ambiguity.
  • A strong collaborator who raises the level of high-quality critique, clear decision-making, and tight partnership with engineering and product.

Responsibilities

  • Own the desktop and mobile experience for live agent sessions end to end - from strategy and interaction models to visual polish and shipped detail.
  • Design directly in the codebase for well-scoped changes, working alongside engineers to ship real improvements.
  • Use prototypes as a primary thinking tool to explore, de-risk, and align the team on a direction.
  • Invent the interaction language for agentic work including real-time multi-agent sessions and human-in-the-loop flows.
  • Define durable UX principles and interaction frameworks for agent collaboration, approvals, observability, and recovery.
  • Drive cross-platform consistency with a scalable design system spanning desktop and mobile.
  • Ground decisions in evidence through research and real usage.

Job description

Databricks in San Francisco is seeking an IC design lead to shape how humans and fleets of agents work together on Omnigent, shipping small changes directly in the codebase and prototyping through big, ambiguous problems that lack a formal spec.

You will own the desktop and mobile experiences, partner with engineering and product, and translate the frontier of what agents can do into clear, controllable, and trustworthy user experiences across platforms.

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