Senior Interaction Designer, Google Research UX

📍 Job Overview

Job Title: Senior Interaction Designer, Google Research UX

Company: Google

Location: Mountain View, California, United States; San Francisco, California, United States

Job Type: Full-time

Category: User Experience (UX) Design / Research Operations

Date Posted: September 17, 2026

Experience Level: Mid-Senior Level (5-10 years)

Remote Status: On-site

🚀 Role Summary

• Design and develop intuitive user experiences at the forefront of Artificial Intelligence research, focusing on human-AI collaboration and novel interaction paradigms.

• Translate complex AI model capabilities and user research insights into tangible, user-centered product designs and functional prototypes, leveraging AI-assisted tools throughout the process.

• Drive the evolution of Google's design language for AI-driven products, ensuring consistency, innovation, and a "magical" user feel across billions of users.

• Collaborate closely with world-class researchers, engineers, and product managers in a fast-paced, cross-functional environment to iterate rapidly on hypotheses and bring cutting-edge AI experiences to life.

📝 Enhancement Note: While the title specifies "Interaction Designer," the responsibilities and required skills, particularly those involving AI research and user-centered design principles within Google Research, strongly indicate a role that bridges core UX design with elements of UX research operations and product strategy. The emphasis on translating research and AI capabilities into tangible designs points to a need for strong operational execution and an understanding of research pipelines.

📈 Primary Responsibilities

• Architect and refine intuitive user flows, state behaviors, and interaction frameworks specifically designed for human-AI collaboration, ensuring seamless and effective user-AI partnerships.

• Conceptualize and deliver functional, interactive prototypes by effectively translating insights from user research and the capabilities of advanced AI models (like LLMs and generative media) into design solutions, utilizing AI-assisted coding and development tools.

• Produce polished, high-fidelity designs, including detailed layouts, motion design, and interaction patterns, meticulously applying and evolving Google's Material Design system to create innovative and aesthetically refined products.

• Foster strong, collaborative partnerships with UX Researchers, Engineers, Product Managers, and subject matter experts to adeptly translate complex technical constraints and AI model limitations into elegant and user-friendly experiences.

• Navigate and contribute to fast-moving research environments by employing rapid prototyping and design iteration cycles to efficiently test hypotheses, gather feedback, and drive continuous improvement in AI-driven product development.

📝 Enhancement Note: The responsibilities highlight a significant operational component in managing the design process from research interpretation to rapid prototyping and iteration within a research context. This requires not just creative design but also disciplined execution and an understanding of how to operationalize research findings into design artifacts.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Design, Human-Computer Interaction, Computer Science, a related field, or equivalent practical experience.

• Master's degree in Design, Human-Computer Interaction, Computer Science, a related field, or equivalent practical experience is preferred. Experience:

• Minimum of 6 years of hands-on experience in interaction design, product design, or UX design, with a proven track record of delivering user-centered products.

• At least 3 years of experience operating within complex, cross-functional organizations, demonstrating the ability to collaborate effectively across diverse teams.

• A minimum of 2 years of experience leading design projects, showcasing leadership, project management, and strategic design decision-making capabilities. Required Skills:

• Demonstrated expertise in interaction design principles, user flows, and state behavior design, with a focus on creating intuitive and engaging user experiences.

• Proficiency in utilizing AI tools and AI-assisted development tools throughout the entire design process, from ideation to prototyping and iteration.

• Proven ability to translate complex research findings and technical capabilities into functional, interactive prototypes using various design and prototyping tools.

• Experience in creating wireframes, user flows, and high-fidelity mockups that clearly articulate design concepts and user journeys.

• Strong understanding of user-centered design methodologies and their application in product development. Preferred Skills:

• Specialized experience designing for emerging AI technologies such as Large Language Models (LLMs), generative media, agentic systems, or multimodal AI interactions.

• Experience in applying AI-accelerated workflows and AI-assisted development tools to enhance design productivity and innovation.

• Proven ability to base design decisions on robust UX research insights, ensuring designs are validated and meet user needs.

• Familiarity with Google's Material Design system and experience in applying or evolving design languages for large-scale products.

• Experience working within a research-focused environment, adept at rapid prototyping and hypothesis testing.

📝 Enhancement Note: The qualifications emphasize a blend of core design skills and specialized knowledge in AI and research operations. The requirement for a portfolio that showcases work using AI tools and for experience designing with emerging AI technologies points to a specialized niche within UX, requiring candidates to demonstrate not just design talent but also a forward-thinking approach to integrating AI into user experiences and operationalizing its potential.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio showcasing a minimum of 6 years of interaction design experience, with a strong emphasis on product development and UX design outcomes.

• Explicit demonstration of experience using AI tools throughout the design process, with specific examples of how AI enhanced your workflow or design solutions.

• Clear articulation of user-centered design methodologies applied, including how research insights informed design decisions and led to improved user experiences.

• Examples of creating intuitive user flows, wireframes, and interactive prototypes for complex products or features, ideally demonstrating a "magical" and refined feel.

• Documentation of experience working in cross-functional teams, highlighting collaboration with Engineering and Product Management to bring designs to fruition. Process Documentation:

• Case studies or project descriptions that detail your approach to translating AI model capabilities and research findings into functional design concepts and prototypes.

• Examples of how you've iterated on designs based on rapid feedback and testing within fast-moving research environments.

• Documentation of your experience with AI-assisted coding and development tools, demonstrating how these were integrated into your design workflow.

• Evidence of applying or contributing to design systems, such as Google's Material Design, to ensure consistency and scalability in your designs.

📝 Enhancement Note: The portfolio requirements are highly specific, emphasizing the practical application of AI tools and the translation of research into design. This suggests that applicants will be evaluated not just on aesthetic design but on their ability to operationalize complex technological concepts into user-friendly products through a structured design process.

💵 Compensation & Benefits

Salary Range: $159,000 - $230,000 USD per year.

Benefits:

• Target bonus of 15% of base salary.

• Equity grants, reflecting a stake in Google's success.

• Comprehensive health insurance coverage.

• Retirement benefits and savings plans.

• Access to extensive learning and development resources.

• [Specific details on other benefits available at Google, such as wellness programs, parental leave, and employee assistance programs, can be found via the provided link.]

Working Hours: A standard 40-hour work week is typical, with expectations for flexibility to meet project deadlines and research timelines within a fast-paced environment.

📝 Enhancement Note: The salary range provided is specific to the US and reflects a senior-level position at a major tech company. The "bonus target" and "equity" are standard components of compensation for such roles at Google, indicating performance-based incentives and long-term financial alignment with the company's growth. The mention of "benefits at Google" suggests a robust package beyond the core offerings.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, Artificial Intelligence Research, Software Development, User Experience Design. Google operates at the nexus of fundamental research and product innovation, aiming to organize the world's information and make it universally accessible and useful, with a strong focus on AI advancements.

Company Size: Google is a large, publicly traded technology company with tens of thousands of employees globally. This scale offers immense resources, opportunities for impact, and exposure to diverse projects and technologies.

Founded: Google was founded in 1998, evolving from a research project into a global leader in search, advertising, cloud computing, AI, and hardware. This history underscores a culture of continuous innovation and a long-term vision for technological development.

Team Structure:

• The Google Research UX team is a specialized, multi-disciplinary unit comprising researchers, designers, and prototypers.

• This team operates at the intersection of cutting-edge AI research and practical product application, fostering a unique environment for innovation.

• Collaboration is highly cross-functional, with designers working closely with AI researchers, engineers, and product managers to explore new frontiers in AI technology. Methodology:

• Data-Driven Design: Decisions are heavily informed by user insights derived from UX research and performance metrics from AI model capabilities.

• Iterative Prototyping: A core methodology involves rapid prototyping and testing to quickly validate hypotheses and refine concepts in a research-intensive setting.

• User-Centered Innovation: The team is committed to transforming fundamental AI discoveries into tangible, useful, and delightful experiences for billions of users, guided by the principle: "Focus on the user and all else will follow."

Company Website: https://www.google.com/about/careers/applications/

📝 Enhancement Note: The context provided highlights Google's commitment to innovation, particularly in AI, and the critical role of the UX team in translating abstract research into user-facing products. The emphasis on collaboration and user-centricity within a large, established tech company is key for operations professionals to understand.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Senior Interaction Designer within Google Research UX. It signifies a mid-to-senior career stage requiring substantial experience (6+ years) and the ability to lead design projects, mentor junior colleagues, and influence product direction. The focus on AI research and emerging technologies positions this as a highly specialized and forward-thinking role within the broader UX field, often seen as a precursor to Principal Designer or management roles in specialized areas.

Reporting Structure: As a Senior Interaction Designer in Google Research UX, you would likely report to a UX Manager or Lead within the Research UX team. This team is part of the larger Google Research organization, which operates with a degree of autonomy to pursue breakthrough innovations, while also collaborating with product engineering teams for eventual productization.

Operations Impact: The impact of this role extends beyond traditional UX design. By shaping human-AI collaboration and designing for novel AI capabilities, the Senior Interaction Designer directly influences how billions of users interact with and benefit from advanced AI technologies. This has a profound impact on user adoption, satisfaction, and the overall success of Google's AI initiatives, contributing significantly to the company's mission and competitive edge.

Growth Opportunities:

• Specialization in AI UX: Deepen expertise in designing for cutting-edge AI technologies (LLMs, generative AI, multimodal AI), becoming a go-to expert in this rapidly evolving field.

• Leadership and Mentorship: Take on project leadership roles, mentor junior designers, and contribute to the strategic direction of UX within Google Research.

• Cross-Disciplinary Skill Development: Enhance skills in AI research, user research methodologies, and potentially AI-assisted development, broadening your technical and analytical capabilities.

• Transition to Principal Designer or Management: With demonstrated success and leadership, opportunities may arise to move into Principal Designer roles, focusing on strategic design challenges, or into management positions overseeing design teams.

📝 Enhancement Note: This role offers significant growth potential, particularly for those interested in specializing in the rapidly expanding field of AI and its user experience implications. The combination of research and product focus provides a unique development path.

🌐 Work Environment

Office Type: Google typically offers modern, collaborative office spaces designed to foster innovation and teamwork. The Mountain View and San Francisco locations are well-established Google campuses.

Office Location(s):

• Mountain View, California: A large, iconic Google campus known for its research facilities and engineering hubs.

• San Francisco, California: A significant Google presence in the heart of the city, often housing diverse product and research teams.

Workspace Context:

• Collaborative Spaces: Offices are equipped with various meeting rooms, open collaboration areas, and informal gathering spots to encourage spontaneous interaction and brainstorming among team members.

• Technology & Tools: Access to state-of-the-art hardware, software, and internal tools is standard, including specialized AI development environments and robust design software.

• Team Interaction: Frequent opportunities for interaction with researchers, engineers, product managers, and fellow designers, fostering a dynamic and intellectually stimulating work environment.

Work Schedule: While a standard 40-hour work week is expected, Google's culture often supports flexibility. However, for on-site roles, particularly within research, maintaining a consistent presence for collaboration and iterative design work is crucial. The fast-paced nature of research means that occasional extended hours may be necessary to meet critical project milestones or respond to emerging research breakthroughs.

📝 Enhancement Note: The on-site requirement for this role in major tech hubs like Mountain View and San Francisco emphasizes the value Google places on in-person collaboration, spontaneous ideation, and deep team integration, which are often critical in research and development environments.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter will review your application, focusing on your resume, portfolio link, and minimum qualifications.

• Portfolio Review: A dedicated session where designers or managers will thoroughly examine your submitted portfolio to assess your design skills, process, and experience with AI tools.

Be prepared to walk through your projects and explain your decision-making.

• On-site/Virtual Interviews: Typically a series of interviews covering:

  • Design Skills & Process: Deep dives into your interaction design approach, problem-solving methodologies, and how you handle complex design challenges.
  • AI & Technical Acumen: Questions related to your experience with AI technologies, your understanding of AI capabilities, and how you've integrated AI into your designs.
  • Cross-functional Collaboration: Scenarios and examples of how you've worked with engineers, researchers, and product managers.
  • Behavioral Questions: Assessing your cultural fit, leadership potential, and how you handle feedback and ambiguity.

• System Design/Whiteboarding Challenge: You may be asked to tackle a design problem on the spot, demonstrating your ability to think critically, articulate solutions, and iterate under pressure.

• Hiring Committee Review: Your interview feedback is compiled and reviewed by a hiring committee to make a final decision.

Portfolio Review Tips:

• Curate Selectively: Showcase 3-5 of your strongest projects that best demonstrate your interaction design skills, your experience with AI tools, and your ability to translate research into tangible outcomes.

• Highlight AI Integration: Clearly articulate how you used AI tools or designed for AI technologies in each project. Provide specific examples of your contributions and the impact.

• Detail Your Process: For each project, walk through your design process: problem definition, research, ideation, prototyping, testing, and final execution. Emphasize your problem-solving approach and how you overcame challenges.

• Quantify Impact: Whenever possible, use data and metrics to demonstrate the success of your designs (e.g., improved user engagement, reduced task completion time, positive user feedback).

• Accessibility: Ensure your portfolio link is easily accessible and provides clear instructions if needed.

Challenge Preparation:

• Study Google's Design Principles: Familiarize yourself with Google's Material Design system and its underlying principles.

• Understand AI Use Cases: Research common and emerging applications of AI in user interfaces and product design. Think about how AI can enhance user experiences.

• Practice Whiteboarding: Be comfortable sketching out user flows, wireframes, and system diagrams on a whiteboard or digital equivalent. Practice articulating your thoughts clearly as you draw.

• Prepare for Ambiguity: Research roles often involve ill-defined problems. Practice asking clarifying questions and making reasoned assumptions to structure your approach.

📝 Enhancement Note: The interview process and portfolio review at Google are rigorous, with a strong emphasis on demonstrating practical skills, a clear design process, and specific experience with AI tools and research integration.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping Software: Figma, Sketch, Adobe Creative Suite (Photoshop, Illustrator), ProtoPie, Principle, Adobe XD. Proficiency in at least one major design tool is essential, with Figma being a strong industry standard.

• AI Tools for Design: Candidates are expected to have experience with AI tools that can assist in the design process. This could include AI-powered wireframing tools, content generation aids, code generation assistants, or AI-driven research analysis platforms.

• AI-Assisted Coding & Development Tools: Familiarity with tools that aid in translating design concepts into functional code or prototypes, potentially leveraging AI for code generation or optimization.

Analytics & Reporting:

• User Research Platforms: Tools for conducting user interviews, surveys, and usability testing (e.g., UserTesting.com, Lookback, Qualtrics).

• Data Analysis Tools: While not a primary responsibility, understanding how to interpret data from analytics platforms (e.g., Google Analytics, internal Google metrics) to inform design decisions is beneficial.

• Collaboration & Documentation Tools: Google Workspace (Docs, Sheets, Slides, Meet), Jira, Confluence, Asana for project management and documentation.

CRM & Automation:

• While not directly a CRM role, understanding how user data flows from interaction points into systems is relevant. Familiarity with data management principles and how user interactions are tracked and utilized is a plus.

• Integration Concepts: Awareness of how different tools and systems connect to create a cohesive user experience and data flow.

📝 Enhancement Note: The technology stack emphasizes proficiency in industry-standard design and prototyping tools, alongside a critical requirement for experience with AI tools that enhance the design workflow. This highlights the role's focus on leveraging AI to accelerate and innovate the design process.

👥 Team Culture & Values

Operations Values:

• User Focus: A deep commitment to understanding and serving user needs, ensuring that all designs are intuitive, accessible, and delightful, aligning with Google's core philosophy: "Focus on the user and all else will follow."

• Innovation & Exploration: A culture that encourages pushing boundaries, exploring novel AI capabilities, and developing groundbreaking user experiences that redefine interaction paradigms.

• Collaboration & Inclusivity: A strong emphasis on teamwork, open communication, and valuing diverse perspectives from researchers, engineers, and designers to achieve shared goals.

• Data-Driven Decision Making: Utilizing research insights, user feedback, and performance data to rigorously inform design choices and measure impact, ensuring design solutions are effective and efficient.

• Excellence & Craftsmanship: A dedication to high-quality design execution, paying attention to detail in layouts, motion, and interaction patterns to create polished and "magical" product experiences.

Collaboration Style:

• Cross-Functional Integration: Seamless collaboration with engineering, product management, and research teams is paramount. Designers are expected to be active participants in discussions, providing design expertise and translating technical constraints into user-centric solutions.

• Iterative Feedback Loops: A culture that embraces constructive feedback, with regular design reviews and opportunities for critique and iteration to continuously refine designs and approaches.

• Knowledge Sharing: Encouraging the sharing of insights, best practices, and learnings across teams, fostering a collective growth environment within Google Research UX.

📝 Enhancement Note: The team culture at Google Research UX is characterized by a blend of rigorous research, creative innovation, and deep collaboration, all centered around user needs and the advancement of AI technology.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Ambiguity: Working at the cutting edge of AI research means dealing with novel technologies and undefined problem spaces, requiring strong analytical skills and the ability to define and structure solutions from scratch.

• Translating Complex AI: Effectively communicating and making complex AI capabilities (like LLMs or generative models) intuitive and useful for a broad user base presents a significant design challenge.

• Rapid Iteration in Research: Balancing the need for thorough design with the fast-paced nature of research environments requires efficient workflows and the ability to adapt quickly to new findings and technical developments.

• Staying Ahead of AI Advancements: The field of AI is evolving at an unprecedented pace, requiring continuous learning and adaptation to integrate the latest AI breakthroughs into design strategies and tools.

Learning & Development Opportunities:

• AI Specialization: Deepen expertise in specific AI domains (e.g., generative AI, multimodal AI, agentic systems) through hands-on project work and internal training.

• Advanced UX Research Techniques: Gain exposure to and training in advanced UX research methodologies relevant to AI and emerging technologies.

• Leadership Development: Opportunities to lead design initiatives, mentor junior designers, and influence strategic product decisions.

• Industry Engagement: Potential to attend leading AI and UX conferences, present work, and engage with the broader research and design community.

📝 Enhancement Note: This role offers substantial challenges that are also significant growth opportunities, particularly for those passionate about the intersection of AI and user experience. The constant evolution of AI necessitates a proactive approach to learning and adaptation.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex AI capability you've designed for. What were the key challenges, and how did you translate it into an intuitive user experience?" (Focus on your process, user-centered approach, and AI integration.)

• "Walk us through a project where you used AI tools to accelerate your design workflow or improve a design outcome. What tools did you use, and what was the impact?" (Be specific about the tools and quantifiable results.)

• "How do you approach designing for ambiguity, especially in a research context? Provide an example of a time you had to define a problem and solution with limited information." (Highlight your structured thinking and problem-solving methodology.) Company & Culture Questions:

• "What excites you about Google Research UX, and how do you see your skills contributing to our mission of advancing AI through human-centered design?" (Show genuine interest and alignment with Google's values and research goals.)

• "Describe a time you had to collaborate with engineers or researchers who had different priorities or technical constraints. How did you navigate that relationship to achieve a successful outcome?" (Demonstrate your cross-functional collaboration and negotiation skills.)

• "How do you stay updated on the latest advancements in AI and UX design? How do you incorporate new learnings into your work?" (Show your commitment to continuous learning and staying at the forefront of the field.) Portfolio Presentation Strategy:

• Narrative Arc: Structure your portfolio presentation like a story for each project: the problem, your role, your process (including AI tool usage), the solution, and the impact.

• Visual Storytelling: Use clear, high-quality visuals (wireframes, mockups, prototypes, user flows) to communicate your ideas effectively.

• Data & Metrics: Weave in quantitative results and qualitative feedback to substantiate the success and impact of your designs.

• Interaction Focus: If presenting interactive prototypes, be ready to demonstrate key interactions and explain the underlying design rationale for each.

• Concise Explanations: Be articulate and concise, focusing on the most critical aspects of your design process and contributions. Avoid getting bogged down in minor details.

📝 Enhancement Note: Interview preparation should heavily focus on showcasing practical experience with AI, a structured design process, and strong collaborative skills, all within the context of Google's user-centric and innovative culture.

📌 Application Steps

To apply for this Senior Interaction Designer position:

• Submit your application through the official Google Careers portal, ensuring your resume includes a clearly visible and accessible link to your portfolio.

• Portfolio Customization: Tailor your portfolio to highlight projects that demonstrate your interaction design expertise, your experience with AI tools, and your ability to translate research into user-centered solutions. Prioritize examples relevant to AI and complex product development.

• Resume Optimization: Ensure your resume clearly articulates your 6+ years of experience, specific skills in interaction design and AI tools, and any experience leading design projects or working in cross-functional teams. Use keywords from the job description naturally.

• Interview Preparation: Thoroughly research Google's design principles, Material Design, and the latest trends in AI UX. Practice articulating your design process and problem-solving approach, especially for AI-related challenges.

• Company Research: Understand Google's mission, its commitment to AI research, and the role of UX within that ecosystem. Be prepared to discuss why you are a strong cultural fit and how you align with Google's values.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.