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Databricks

Staff Product Designer, Agentic Coding

Databricks
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staff full-time Zone 1: $166,600-$229,150 USD Zone 2: $158,300-$217,700 USD Mountain View, California; San Francisco, California; Seattle, Washington

First indexed 30 Sept 2026

Description

Job Description

Databricks is building a platform for enterprises to create, govern, and collaborate with coding agents safely and at scale.

Team & Product

Omnigent is Databricks' platform for building, composing, governing, and sharing AI coding agents. It allows users to create and coordinate agents across different model providers and execution environments.

Role

As the IC design lead for Omnigent, you will be responsible for leading through product strategy, systems thinking, craft, and cross-functional collaboration.

Responsibilities

  • Own the desktop and mobile experience for live agent sessions end to end
  • Design directly in the codebase for well-scoped changes
  • Use prototypes as a primary thinking tool
  • Invent the interaction language for agentic work
  • Define durable UX principles and interaction frameworks for agent collaboration
  • Drive cross-platform consistency with a strong, scalable design system
  • Ground decisions in evidence using research instincts and real usage

Requirements

  • A builder-designer who works fluently with AI tools
  • A portfolio of strong end-to-end craft
  • Staff-level scope and impact
  • Self-directed, and comfortable in ambiguity
  • A strong collaborator who raises the level of high-quality critique and clear decision-making

Nice to Have

  • Experience designing coding tools, IDEs, agent frameworks, or developer platforms
  • Familiarity with multi-agent systems, LLM harnesses, or governance/observability tooling

Benefits

Databricks provides comprehensive benefits and perks that meet the needs of all employees.

Pay Range Transparency

The pay range for this role is: Zone 1: $166,600-$229,150 USD Zone 2: $158,300-$217,700 USD Zone 3: $128,400-$179,700 USD

This listing is enriched and indexed by YubHub. To apply, use the employer's original posting: https://job-boards.greenhouse.io/databricks/jobs/8854693002