UX Engineer, Chrome AI Innovation, Disco

📍 Job Overview

Job Title: UX Engineer, Chrome AI Innovation, Disco

Company: Google

Location: Seattle, WA; Mountain View, CA; San Francisco, CA

Job Type: Full-time

Category: UX Engineering / Front-end Development / AI Innovation

Date Posted: 2026-06-09T22:38:55.645

Experience Level: 4+ Years

Remote Status: On-site

🚀 Role Summary

• This role focuses on pioneering AI-driven user experiences within the Chrome browser, blending cutting-edge front-end development with sophisticated UX engineering.

• You will be instrumental in developing and prototyping novel interaction concepts that leverage AI to enhance user workflows and product functionality.

• The position requires a strong foundation in front-end development, technical UX design, and application architecture, with a keen eye for visual craft and motion design.

• You will collaborate closely with research, design, product management, and core AI teams (DeepMind, Google Labs) to bring innovative, AI-native browser surfaces to life.

📝 Enhancement Note: The "Disco" in the job title likely refers to a specific internal project or team within Google Chrome focused on rapid prototyping, experimentation, and innovation, particularly in AI-driven features. This implies a fast-paced, iterative development environment.

📈 Primary Responsibilities

• Establish and champion technical standards for front-end craft, UI polish, and animation quality across AI innovation initiatives.

• Contribute to the evolution of foundational code and tooling to accelerate AI-assisted engineering workflows, ensuring scalability for future product releases.

• Partner with research, design, product management, and AI partners (DeepMind, Google Labs, Creative Lab) to scope, build, and iterate on concepts based on user feedback.

• Drive rapid prototyping and real-time collaboration within the "Disco" vehicle to explore novel interaction concepts and translate ambitious design visions into testable experiences.

• Own the end-to-end craft of key AI-native browser surfaces, delivering high-fidelity UI with complex user interactions and functionality that defines next-generation AI-first software behavior in Chrome.

• Bridge the gap between design and engineering, ensuring efficient and high-quality execution of innovative features and tools that accelerate UX team capabilities.

📝 Enhancement Note: The responsibilities emphasize not just building features but also setting technical direction, contributing to infrastructure/tooling, and fostering cross-functional collaboration, indicating a senior-level contribution beyond just coding. The focus on "future product scale" and "AI-native browser surfaces" highlights a strategic and forward-looking aspect of the role.

🎓 Skills & Qualifications

Education: Bachelor's degree or equivalent practical experience.

Experience: Minimum 4 years of experience in front-end development, technical UX design, or prototyping.

Required Skills:

• Demonstrated experience in front-end development, with a strong understanding of web technologies and frameworks.

• Proven ability in technical UX design, focusing on user interaction and experience architecture.

• Expertise in prototyping, with the ability to translate concepts into tangible interactive experiences.

• Experience in application development across at least one platform (e.g., web, iOS, Android, CompDes, XR).

• Experience architecting and delivering functional applications.

• Proficiency in creating and presenting a portfolio showcasing relevant work (website, GitHub, etc.). Preferred Skills:

• 5+ years of experience developing responsive, adaptive, and high-performance websites and applications.

• Extensive experience as a front-end developer, UX Engineer, creative technologist, or in a rapid prototyping design environment.

• Strong background in motion design and a commitment to high visual quality, including expertise in physics-based patterns and design systems.

• Hands-on experience building on browser-based platforms such as Chrome extensions, React, or Electron.

• Experience with full-stack development for comprehensive application building and rapid UX prototyping.

• Exceptional visual craft and systems thinking skills, with a proactive approach to fast, creative experimentation and iteration.

📝 Enhancement Note: The distinction between minimum and preferred qualifications suggests that candidates with 5+ years of experience and specific expertise in motion design, browser-based tools, and full-stack development will be highly competitive for this role. The emphasis on a portfolio is critical for demonstrating these skills.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio demonstrating end-to-end project ownership, from concept to execution, with a focus on AI-driven features or innovative browser functionalities.

• Showcase of rapid prototyping skills, including interactive prototypes that clearly articulate user flows and interaction designs.

• Examples of architected and delivered applications, highlighting technical design decisions and system integration.

• Evidence of contributions to foundational code, tooling, or frameworks that accelerate development workflows, particularly in AI-assisted engineering.

• Visual examples of high-fidelity UI, complex user interactions, and refined animation, demonstrating a high bar for craft and polish. Process Documentation:

• Documentation of your personal workflow for rapid prototyping and iterative design, detailing how you translate ambitious ideas into testable experiences.

• Examples of how you have collaborated with cross-functional teams (research, design, product, engineering) to scope and build concepts, including how user feedback was incorporated.

• Case studies illustrating how you have set technical standards for front-end craft and animation quality in past projects.

• Documentation of any contributions to AI-assisted engineering workflows or tools that improved efficiency for UX teams.

📝 Enhancement Note: For this role, the portfolio is paramount. It should not only showcase finished products but also the process behind them, particularly how AI concepts were explored, prototyped, and integrated into browser experiences. Demonstrating an understanding of scalable architecture and a high standard of visual and interactive craft is key.

💵 Compensation & Benefits

Salary Range: $132,000 - $190,000 (USD) per year.

Benefits:

• Target bonus of 15% of base salary.

• Additional performance-based bonuses.

• Equity grants.

• Comprehensive benefits package including health, dental, vision insurance, retirement plans, paid time off, and more.

Working Hours: Standard 40-hour work week, with potential for overtime depending on project needs and deadlines.

📝 Enhancement Note: The provided salary range is for the US market, specifically for roles in Seattle, Mountain View, and San Francisco, which are high cost-of-living areas. The total compensation package includes a significant bonus target and equity, reflecting the importance of performance and long-term contribution at Google. The 15% bonus target is a strong indicator of performance-driven compensation.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (Internet Services and Software)

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

Founded: 1998, Google has a long history of innovation, focusing on organizing the world's information and making it universally accessible and useful. This ethos permeates its product development and company culture.

Team Structure:

• The role is within the Chrome AI Innovation team, part of the broader Google Chrome organization.

• You will be part of a multi-disciplinary UX team, collaborating closely with Engineering, Product Management, and specialized AI research teams like DeepMind and Google Labs.

• The "Disco" project likely operates with a lean, agile structure, fostering fast iteration and cross-functional synergy. Methodology:

• Data-Driven Innovation: Decisions are informed by user research, A/B testing, and performance metrics, particularly in understanding user interactions with AI features.

• Iterative Design & Prototyping: Emphasizes rapid experimentation, building concepts, and iterating based on user feedback to refine product experiences.

• Cross-Functional Collaboration: Strong emphasis on seamless integration between UX, Engineering, and Product to ensure efficient and high-quality product development.

• AI Integration: Focus on leveraging AI advancements to create novel user experiences and streamline workflows, particularly within the browser context.

Company Website: https://www.google.com

📝 Enhancement Note: Working at Google, especially within an innovation-focused team like Chrome AI, means being part of a culture that values ambitious goals, data-informed decisions, and rapid iteration. The collaboration with top AI research arms like DeepMind is a significant draw for individuals interested in the forefront of AI development.

📈 Career & Growth Analysis

Operations Career Level: This UX Engineer role is positioned at a mid-to-senior level, demanding significant technical expertise and a track record of delivering complex projects. It requires not only execution but also the ability to set technical direction and influence product strategy within the AI innovation space.

Reporting Structure: You will report to a UX Engineering Manager or a Lead within the Chrome AI Innovation team. The role involves close collaboration with Product Managers, UX Designers, and Software Engineers.

Operations Impact: The impact of this role is substantial, directly influencing the future of user interaction with AI within the Chrome browser. Successful candidates will shape how millions of users experience AI-powered features, driving product innovation and defining new standards for AI-native software.

Growth Opportunities:

• Technical Specialization: Deepen expertise in AI-driven UX, advanced front-end architecture, motion design, and specialized browser technologies.

• Leadership Development: Opportunities to lead technical aspects of projects, mentor junior engineers, and contribute to the strategic direction of AI innovation within Chrome.

• Cross-Disciplinary Learning: Exposure to cutting-edge AI research from DeepMind and Google Labs, as well as product strategy from PMs and design principles from UX designers.

• Career Progression: Potential to move into senior/principal UX Engineer roles, technical leadership positions, or specialized AI product development roles within Google.

📝 Enhancement Note: This role offers a clear path for growth within Google's extensive engineering and product development structure, particularly for those passionate about the intersection of AI, UX, and web technologies. The emphasis on "future product scale" suggests involvement in projects with long-term strategic importance.

🌐 Work Environment

Office Type: This is an on-site role, indicating a traditional office-based work environment within Google's campuses.

Office Location(s): The role is available in Google's primary tech hubs: Seattle, WA; Mountain View, CA; and San Francisco, CA. These locations offer vibrant tech ecosystems and state-of-the-art facilities.

Workspace Context:

• Collaborative Spaces: Google offices are designed to foster collaboration, with open-plan areas, meeting rooms, and informal gathering spaces.

• Advanced Tools & Technology: Access to Google's proprietary internal tools, development environments, and cutting-edge hardware for prototyping and testing.

• Team Interaction: Frequent opportunities for spontaneous discussions, design reviews, and joint problem-solving sessions with fellow UX Engineers, Designers, and Developers.

Work Schedule: While a standard 40-hour week is expected, the fast-paced nature of innovation projects may require flexibility to meet deadlines and achieve ambitious goals. The on-site requirement facilitates synchronous collaboration and rapid iteration.

📝 Enhancement Note: The on-site requirement at Google's major campuses suggests a highly collaborative and resource-rich environment. Candidates should expect a dynamic workspace designed for team synergy and access to the latest technological infrastructure.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or recruiter review of resume and portfolio link.

• Technical Phone Screen: An interview focused on front-end development, UX principles, and prototyping skills. May include coding challenges.

• On-site/Virtual Interviews (Multiple Rounds):

  • Portfolio Review: In-depth discussion of your past projects, focusing on your role, technical contributions, design thinking, and impact. Be prepared to walk through key case studies.
  • Technical Deep Dives: Coding exercises, system design questions, and problem-solving scenarios related to front-end development, animation, and AI integration.
  • UX/Design Thinking: Questions assessing your understanding of user-centered design, interaction patterns, and ability to translate ambitious concepts into user-friendly experiences.
  • Cross-Functional Collaboration: Scenarios assessing your ability to work effectively with designers, product managers, and AI researchers.
  • Behavioral Questions: Standard Google questions assessing leadership, teamwork, problem-solving, and cultural fit.

Portfolio Review Tips:

• Curate Selectively: Choose 3-5 of your strongest, most relevant projects that showcase your skills in front-end development, technical UX, prototyping, and ideally, AI-related work or complex UI interactions.

• Tell a Story: For each project, clearly articulate the problem, your role, the design/technical challenges, your solutions, the outcome, and the impact. Use visuals liberally.

• Highlight AI/Innovation: If you have projects involving AI, machine learning, or novel browser features, ensure these are prominently featured and explained in detail.

• Demonstrate Process: Show your iterative process, including early concepts, prototypes, user feedback incorporation, and final polished execution.

• Technical Depth: Be prepared to discuss the technical architecture, code quality, performance optimizations, and specific technologies used in your projects.

Challenge Preparation:

• Front-end Fundamentals: Refresh knowledge on core web technologies (HTML, CSS, JavaScript), modern frameworks (React), performance optimization, and responsive design.

• Prototyping Tools: Be comfortable discussing and demonstrating your proficiency with prototyping tools and workflows.

• AI Concepts: Familiarize yourself with current AI trends and how they can be applied to user interfaces and browser experiences. Understand concepts like AI-assisted engineering.

• Systems Thinking: Practice thinking about how different components of a system (UI, backend, AI models) interact and how to design for scalability and maintainability.

📝 Enhancement Note: The interview process at Google is rigorous. A strong, well-presented portfolio is non-negotiable. Candidates should prepare to articulate their thought process, technical decisions, and the impact of their work, especially concerning AI and complex user interactions.

🛠 Tools & Technology Stack

Primary Tools:

• Front-end Frameworks: React is specifically mentioned, suggesting it's a core technology. Experience with other modern JS frameworks may also be beneficial.

• Prototyping Software: Familiarity with tools like Figma, Sketch, Framer, or custom internal Google tools for rapid UI and interaction prototyping.

• Browser Technologies: Deep understanding of web standards, HTML5, CSS3, JavaScript (ES6+), and browser APIs.

• Version Control: Git is standard; proficiency is expected.

Analytics & Reporting:

• Experience with analytics platforms (e.g., Google Analytics, internal Google tools) to track user engagement, feature adoption, and performance metrics for AI features.

• Dashboarding tools (e.g., Data Studio, Tableau, internal equivalents) for visualizing key performance indicators. CRM & Automation:

• While not a direct CRM role, understanding how UX/UI decisions impact user journeys and potentially influence conversion funnels is valuable.

• Familiarity with build tools, CI/CD pipelines, and automation scripts that support efficient front-end development and deployment.

• Experience with browser extension development platforms and APIs.

📝 Enhancement Note: Proficiency in React and browser-based tools like Chrome extensions is highly emphasized. The role likely involves using Google's internal suite of development, prototyping, and analytics tools, which candidates may not have direct prior experience with but should be able to adapt to quickly.

👥 Team Culture & Values

Operations Values:

• User Focus: "Focus on the user and all else will follow" is a guiding principle at Google, driving a commitment to creating intuitive and valuable user experiences.

• Innovation & Experimentation: A culture that encourages bold ideas, rapid prototyping, and learning from both successes and failures.

• Collaboration & Teamwork: Strong emphasis on working effectively across disciplines and with diverse teams to achieve shared goals.

• Technical Excellence & Craft: A commitment to high standards in code quality, design execution, and overall product polish.

• Impact & Scale: Driving meaningful change that affects millions of users globally.

Collaboration Style:

• Cross-Functional Integration: Close working relationships with UX Designers, Product Managers, and Software Engineers are essential for success.

• Open Communication: Encouragement of direct, constructive feedback and knowledge sharing to foster continuous improvement.

• Agile & Iterative: Embracing flexible methodologies to adapt quickly to new insights and evolving project requirements, especially within the "Disco" project context.

• AI Partnership: Seamless collaboration with AI research teams to translate complex AI capabilities into user-friendly browser features.

📝 Enhancement Note: The culture at Google emphasizes both individual contribution and collective success. For this role, expect a dynamic environment where challenging the status quo with innovative AI-driven ideas is encouraged, but execution must be grounded in user needs and technical excellence.

⚡ Challenges & Growth Opportunities

Challenges:

• Translating Ambitious AI Concepts: Bridging the gap between cutting-edge AI research and practical, user-friendly browser experiences requires significant technical and design innovation.

• Setting New Standards: Defining the look, feel, and behavior of AI-native software in Chrome means establishing new interaction paradigms and visual languages.

• Rapid Iteration & Scale: Balancing the need for fast prototyping and experimentation with the demands of building for Chrome's massive user base and ensuring high performance and reliability.

• Cross-Functional Alignment: Effectively integrating feedback and requirements from diverse teams, including core AI researchers, designers, and product managers.

Learning & Development Opportunities:

• Cutting-Edge AI Exposure: Direct engagement with AI advancements from DeepMind and Google Labs, providing unparalleled learning opportunities.

• Advanced UX Engineering Skills: Development in areas like complex animation, physics-based interactions, systems design for AI features, and performance optimization for large-scale applications.

• Product Strategy Involvement: Gaining insights into product roadmapping and strategic decision-making for major Google products like Chrome.

• Mentorship: Opportunities to learn from and mentor highly skilled engineers and designers within Google's extensive talent pool.

📝 Enhancement Note: This role presents significant technical and creative challenges inherent in pioneering new AI-driven product categories. The growth opportunities are tied to tackling these challenges head-on, leading to deep expertise in a rapidly evolving field.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to translate a complex, nascent technology (like AI) into a tangible user experience. What was your process, and what were the challenges?" (Focus on your process, problem-solving, and ability to simplify complexity).

• "How would you approach setting the technical standard for motion design and animation quality for a new AI-native browser feature? What metrics would you use to define 'polish'?" (Demonstrate your understanding of craft, technical execution, and measurement).

• "Imagine you're tasked with prototyping a novel AI interaction for Chrome. Walk us through your rapid prototyping workflow, from initial concept to a testable experience." (Showcase your prototyping skills, iterative approach, and collaboration). Company & Culture Questions:

• "How does Google's 'Focus on the user and all else will follow' philosophy influence your approach to UX engineering, especially with AI?" (Connect AI innovation to user value).

• "Describe a situation where you had to collaborate closely with researchers (like those at DeepMind) or engineers with different technical backgrounds. How did you ensure effective communication and alignment?" (Highlight your collaboration and communication skills).

• "What excites you most about the potential of AI in the context of a web browser like Chrome?" (Show your passion and understanding of the domain). Portfolio Presentation Strategy:

• Structure is Key: Organize your presentation logically, starting with an overview of the project, your specific contributions, the technical challenges, your solutions, and the outcomes/impact.

• Visuals First: Use high-quality screenshots, GIFs, or short videos to showcase the UI, interactions, and animations. Let the work speak for itself.

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

• Explain Your 'Why': Clearly articulate the design decisions and technical choices you made and the rationale behind them, especially concerning user experience and AI integration.

• Be Ready for Deep Dives: Prepare to answer detailed technical questions about your code, architecture, and development process.

📝 Enhancement Note: Candidates should prepare to articulate their thought process rigorously, demonstrating not only technical skill but also a deep understanding of user needs and the strategic application of AI within the browser context. The portfolio review is a critical component where candidates must prove their ability to execute at Google's high standards.

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📌 Application Steps

To apply for this UX Engineer position:

• Submit your application through the Google Careers portal at the provided URL.

• Customize Your Resume: Tailor your resume to highlight experience in front-end development, technical UX design, prototyping, AI-assisted engineering, and any experience with React, Electron, or Chrome extensions. Quantify achievements with metrics where possible.

• Prepare Your Portfolio: Ensure your portfolio link is clearly visible on your resume and that it showcases 3-5 of your most relevant projects, demonstrating your skills in UI craft, interaction design, prototyping, and ideally, AI integration. Be ready to walk through these projects in detail.

• Practice Interview Responses: Prepare for technical, behavioral, and portfolio-based interview questions. Practice articulating your problem-solving approach, technical decisions, and collaborative experiences.

• Research Google Chrome & AI: Familiarize yourself with Google Chrome's current features and roadmap, as well as broader trends in AI and its application to web technologies. Understand Google's mission and 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.