Ux AI Transformation Lead, Health and Home

Google Google · Big Tech · Mountain View, CA +1

This role leads the AI transformation within the UX team for Google's Health and Home products. The Lead will bridge industry AI advancements with team workflows, guiding the organization to become an AI-native design team. Responsibilities include exploring next-generation user experiences with proactive, agentic, and personalized interactions, building AI-driven processes to eliminate manual work, integrating AI into the PDLC for faster launches, and advising leadership on AI's implications for user trust and brand strategy. Requires experience with LLMs, generative design tools, APIs for automation, and designing for AI-powered systems and agentic technologies.

What you'd actually do

  1. Act as the primary bridge to industry advancements and Google-wide AI networks, bringing tools, methods, and early alpha/beta features back to the team.
  2. Lead the exploration of next-generation user experiences, moving beyond traditional screens toward proactive, agentic, and highly personalized interaction models.
  3. Build and optimize AI-driven processes across all UX functions (Design, Research, Content, and Program Management) to eliminate manual toil.
  4. Integrate AI into the Product Development Lifecycle (PDLC) to compress the time between concept and launch without sacrificing user value or craft.
  5. Serve as a core advisor to leadership on the long-term implications of AI regarding user trust, product differentiation, and brand strategy.

Skills

Required

  • Product design or UX experience
  • Leveraging large language models (LLMs), generative design tools, and APIs for workflow automation
  • Working with AI, intelligent assistants, generative language, or image models
  • Designing for AI-powered systems and agentic technologies

Nice to have

  • Master's degree in Design, Human-Computer Interaction, Computer Science, or related field
  • Experience working in a complex, cross-functional organization
  • Experience working with executive leaders
  • Experience navigating the technical and operational nuances of the global payments landscape
  • Deep understanding of how to scale AI solutions across disparate markets while maintaining regional compliance and country-specific UX standards
  • Ability to translate complex technical AI concepts into actionable concepts and strategies for non-technical stakeholders

What the JD emphasized

  • AI-native design team
  • agentic technologies
  • AI-powered systems
  • agentic technologies

Other signals

  • AI-native design team
  • AI-driven processes
  • AI into the Product Development Lifecycle
  • AI-powered systems
  • agentic technologies