Minimum Qualifications
- Bachelor's degree or equivalent practical experience.
- 6 years of interaction design experience in product design or UX design.
- 5 years of experience in UX/product design, including experience shipping enterprise software or technical systems.
- 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.
- Experience designing for Generative AI, machine learning systems, or agentic workflows.
- Ability to design scalable frameworks, mental models, and foundational design patterns in highly ambiguous product spaces.
- Proven track record of translating complex technical logic (like AI reasoning, data pipelines, or multi-step automated workflows) into clear, trustworthy, and human-centric interfaces.
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.
We are looking for a User Experience (UX) Designer to shape the future of productivity by designing the ecosystem where businesses seamlessly build, orchestrate, and collaborate with intelligent agents.
In this role, you will help redefine the modern workplace by moving beyond simple chat prompts to craft the next generation of enterprise AI agents. You will address unique enterprise issueslike making complex agentic reasoning transparent and designing elegant human-in-the-loop oversightwhile ensuring the software feels human, empowering, and incredibly fun. Google Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Googles cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.The US base salary range for this full-time position is $159,000-$231,000 + 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
- Formulate foundational UX frameworks, mental models, and design patterns for multi-agent orchestration, complex task execution, and agentic enterprise workflows.
- Build elegant interfaces that provide transparency into complex AI reasoning, short/long-term memory, and tool-use, making processes clear and easily debuggable.
- Design seamless, intuitive "human-in-the-loop" oversight mechanisms that empower enterprise users to guide and edit agent behavior without inducing friction.
- Produce high-fidelity user journeys, prototypes, and scalable system components that turn technical enterprise capabilities into inspiring, delightful product experiences.
- Partner with Product Management, Engineering, and Research to map out highly ambiguous product spaces and define the future of how humans and AI work together.