Senior UX Designer, AI and Data Infrastructure, Ads

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 6 years of experience in UX design, product design, or a related field.
• Experience with Artificial Intelligence (AI) technologies, including Generative AI, and blending design with AI tools and workflows.
• Experience in leadership, design strategy, design patterns, and design thinking.
• Include a portfolio, website, or any other relevant link to your work in your resume (providing a viewable link or access instructions).

Preferred qualifications:

• Master's degree in Design, Human-Computer Interaction, Computer Science, a related field, or equivalent practical experience.
  
• 3 years of experience working in a complex, cross-functional organization.
  
• 2 years of experience leading design projects.
  

About the job

At Google, we "Focus on the user and all else will follow." Our Interaction Designers transform complex tasks into intuitive, easy-to-use experiences for billions of people. From creating user flows and wireframes to building mockups and prototypes, you will envision and bring product experiences to life with an inspired, refined, and magical feel. You will join our multi-disciplinary UX team, collaborating with Engineering and Product Management, leveraging user insights to create industry-leading products.

As an Interaction Designer, you'll apply user-centered design methods to craft industry-leading user experiences from concept to execution, working with design partners to evolve the Google design language to build beautiful, innovative products.

As an AI-forward UX Designer, you will move beyond designing static screens to orchestrating agentic systems and generative UI. You will help define the next generation of AI-powered customer support experiences by designing for agency, trust, and human-agent relationships. You will transform complex support workflows into interactive, system-driven prototypes that shape the future of customer engagement. This is a unique opportunity to lead experience systems leadership, moving from deterministic interfaces to experience infrastructure.

In this role, you will work at the intersection of UX, Engineering, and AI Research to define system logic and behavior models that establish trust and safety. Your work will leverage AI to accelerate the product development lifecycle from ideation to vibe-coding and rapid experimentation. By partnering with cross-functional teams, you will establish shared agentic experimentation environments to test multi-agent systems and ensure experience coherence for our customers and support agents.

Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.

The US base salary range for this full-time position is $159,000-$233,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Orchestrate autonomous systems and generative UI by defining complex system logic and behavior models for agentic flows, moving beyond deterministic interfaces to experience infrastructure.
• Lead human-centered evaluation practices for AI-driven products, defining methods for trust calibration and cognitive load while redefining success metrics from standard usability to experience coherence.
• Identify and build AI-assisted workflows and automated evaluation systems that scale design capacity and significantly speed up iteration cycles.
• Evolve design craft by adopting novel AI-first methods, transitioning from static artifacts to interactive, system-driven prototypes that shape the future of customer engagement.