Staff AI Product Designer, Automation, Geminiapp, Deepmind

Google Google · Big Tech · Mountain View, CA +3

Staff UX Lead for Gemini's 'Connected apps' experience, focusing on architecting interaction models for agentic AI and end-to-end user experiences that enable autonomously productive AI. The role involves designing for personal context, probabilistic systems, and modern AI workflows, with a strong emphasis on user obsession and ethical AI.

What you'd actually do

  1. Architect Agentic Experiences: Lead the UX strategy and interaction design for Gemini's Connected Apps, defining how users delegate life tasks so they can focus on what matters most.
  2. Design for Personal Context: Create unparalleled, low-friction experiences that weave together user information across Google products and third-party services, while designing granular, easy-to-understand controls to maintain user trust.
  3. User Obsession: Deeply understand what users think, feel, and want, using that empathy to obsess over every pixel, obliterate latency, and ensure users feel efficient, capable, and delighted.
  4. Design for Probabilistic Systems: Apply deep systems thinking to create interfaces that gracefully handle the non-deterministic nature of AI, ensuring user trust, transparency, and control.
  5. Modern AI Workflows: Utilize modern motion and prototyping tools alongside Vibe Coding tools (Cursor, Claude, Antigravity) to rapidly build, test, and iterate on complex interactive experiences.

Skills

Required

  • UX/UI design experience for consumer-facing software
  • portfolio, website, or any other relevant link to your work

Nice to have

  • High proficiency in modern design tools (Figma)
  • AI-assisted workflow/prototyping tools (Cursor, Antigravity, Claude Code, etc.)
  • balance data-driven design with navigating ambiguity
  • passion for building ethical, accessible, and user-centered AI solutions
  • guiding cross-functional teams (Engineering, PM, Research) through the zero-to-one lifecycle
  • prototyping complex, interactive, and multi-modal experiences using front-end development technologies (HTML/CSS/JS) or advanced Vibe Coding
  • driving product impact through close collaboration with user research
  • expertise in methodologies specifically designed for evaluating non-deterministic AI products

What the JD emphasized

  • architecting the interaction model for the next generation of computing
  • progress us towards autonomously productive AI
  • applied, agentic AI
  • architect agentic experiences
  • design for probabilistic systems
  • evaluating non-deterministic AI products

Other signals

  • architecting the interaction model for the next generation of computing
  • progress us towards autonomously productive AI
  • applied, agentic AI