UX Engineer, Disco, Chrome AI Innovation

📍 Job Overview

Job Title: UX Engineer, Disco, Chrome AI Innovation

Company: Google

Location: Seattle, WA; Mountain View, CA

Job Type: Full-Time

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

Date Posted: September 01, 2026

Experience Level: Mid-Level to Senior (4-5+ years)

Remote Status: On-site

🚀 Role Summary

• Design and develop innovative, user-centric interfaces for AI-powered features within the Chrome browser.

• Drive the technical execution of novel interaction concepts, translating ambitious design visions into high-fidelity prototypes and shippable UI.

• Collaborate closely with cross-functional teams, including Research, Product Management, and specialized AI groups like DeepMind and Google Labs.

• Establish and elevate front-end development standards, focusing on craft, polish, animation quality, and the acceleration of AI-assisted engineering workflows.

📝 Enhancement Note: This role is positioned at the intersection of User Experience Engineering and cutting-edge AI innovation within Google's Chrome browser. The emphasis on "Disco" and "AI Innovation" suggests a highly experimental and forward-thinking team focused on defining the future of AI-native browser surfaces. The "On-site" requirement indicates a strong preference for in-person collaboration and team synergy.

📈 Primary Responsibilities

• Set the technical standard for front-end craft, polish, and animation quality across the team, contributing to foundational code and tooling.

• Accelerate AI-assisted engineering workflows for future product scale by developing and integrating new tools and methodologies.

• Partner with research, design, and product teams, including DeepMind, Google Labs, and Creative Lab, to scope, build, and iterate on concepts.

• Drive rapid prototyping and real-time collaboration within the "disco vehicle" to explore novel interaction concepts.

• Translate ambitious design outlooks into distinctive, testable experiences built for future product scale and integration into core Chrome.

• Own the craft of key AI-native browser surfaces, shipping high-fidelity UI with complex user interactions and functionality.

• Define how next-generation AI-first software should look and behave within the Chrome ecosystem.

📝 Enhancement Note: The responsibilities highlight a blend of highly technical front-end development, creative UX engineering, and strategic collaboration. The focus on "AI-assisted engineering workflows" and "future product scale" indicates a need for forward-thinking solutions that can be implemented efficiently and effectively for large-scale deployment. The emphasis on "disco vehicle" implies an agile, experimental approach to rapid prototyping and concept exploration.

🎓 Skills & Qualifications

Education: Bachelor's degree or equivalent practical experience.

Experience:

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

• Preferred: 5 years of experience developing responsive, adaptive, and performant websites and applications.

• Preferred: 5 years of experience as a front-end developer, UX Engineer, creative or design technologist, or in a prototyping design environment. Required Skills:

• Proficiency in application development in at least one platform/area (e.g., web, iOS, Android, CompDes, XR).

• Experience architecting and delivering applications.

• Strong portfolio showcasing front-end development, technical UX design, and prototyping work.

• Demonstrated ability to translate ambitious design visions into tangible, high-fidelity user interfaces.

• Experience with user-centric design principles and a focus on delivering exceptional user experiences. Preferred Skills:

• Experience in motion design and setting a high bar for visual quality, including physics-based patterns.

• Expertise in building on browser-based tools such as Chrome extensions, React, or Electron.

• Experience with full-stack development and rapid UX prototyping methodologies.

• Excellent visual craft and systems thinking skills.

• A bias for fast, creative experimentation and iteration.

• Familiarity with AI-native browser surfaces and next-generation AI-first software design.

• Understanding of design systems and their application in large-scale products.

📝 Enhancement Note: The qualifications emphasize a strong foundation in front-end development and UX engineering, coupled with a portfolio that substantiates practical experience. The preferred qualifications point towards candidates who are not only skilled developers but also possess a keen eye for visual design, motion, and system-level thinking, particularly within the context of browser-based applications and emerging AI technologies.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio showcasing a range of front-end development and UX engineering projects.

• Demonstration of experience in architecting and delivering complex applications.

• Examples of rapid prototyping and user-facing technology implementation.

• Work samples that highlight visual craft, systems thinking, and attention to detail in UI design and animation.

• Clear articulation of personal contributions to team projects, including design challenges and technical solutions. Process Documentation:

• Showcase experience in defining and implementing front-end technical standards for craft, polish, and animation quality.

• Illustrate contributions to foundational code and tooling that accelerate engineering workflows, particularly AI-assisted ones.

• Provide examples of collaboration with research, design, and product teams to scope, build, and iterate on concepts.

• Detail instances of driving rapid prototyping and real-time collaboration to explore novel interaction concepts.

📝 Enhancement Note: For this role, the portfolio is paramount. It should not only display technical proficiency but also a deep understanding of UX principles, rapid prototyping capabilities, and the ability to translate complex design concepts into functional, high-fidelity interfaces. Evidence of contributions to tooling and workflow optimization, especially related to AI, will be highly valued.

💵 Compensation & Benefits

Salary Range: $132,000 - $189,000 USD per year.

Benefits:

• Annual bonus target of 15%.

• Equity grants.

• Comprehensive health insurance coverage.

• Access to Google's extensive employee benefits program, including wellness programs, retirement plans, and professional development opportunities.

Working Hours: Standard full-time working hours are expected (approximately 40 hours per week), with flexibility often available for focused work, though the on-site requirement suggests core hours for collaboration.

📝 Enhancement Note: The provided salary range is competitive for a UX Engineer role at a major tech company like Google, particularly in high-cost-of-living areas like Seattle and Mountain View. The additional bonus target and equity further enhance the total compensation package. The benefits are typical for a large tech organization and are designed to support employee well-being and professional growth.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (Software, Internet Services, AI)

Company Size: Extremely Large (100,000+ employees)

Founded: 1998. Google's mission to organize the world's information and make it universally accessible and useful has driven its growth into a global technology leader. This mission permeates its culture, encouraging innovation, data-driven decision-making, and a focus on user impact.

Team Structure:

• The UX Engineering team within Chrome AI Innovation is a specialized, multi-disciplinary group focused on cutting-edge browser features.

• This role will report into a UX Engineering lead, with close collaboration with Product Managers, UX Designers, Researchers, and core AI partners like DeepMind and Google Labs.

• Cross-functional collaboration is a cornerstone, requiring strong communication and partnership skills to bridge the gap between design, engineering, and AI research. Methodology:

• Data Analysis & Insights: Leveraging user feedback, A/B testing, and performance metrics to inform design and development decisions.

• Workflow Planning & Optimization: Continuously improving processes for rapid prototyping, design-to-development handoff, and AI-assisted engineering workflows.

• Automation & Efficiency: Developing tools and systems to enhance productivity for UX teams and accelerate the delivery of innovative features.

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

📝 Enhancement Note: Google's culture is renowned for its emphasis on innovation, data-driven decision-making, and empowering employees. The Chrome AI Innovation team likely operates with a similar ethos, fostering a fast-paced, experimental environment where ambitious ideas are encouraged and supported by robust engineering and research capabilities. The scale of Google means access to immense resources and a vast network of talented individuals.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a mid-level to senior UX Engineer, focusing on technical execution, craft, and innovation within a specialized AI team. It requires strong individual contribution and the ability to influence technical direction for front-end development and UI implementation.

Reporting Structure: The UX Engineer will likely report to a UX Engineering Manager or Lead, working in close conjunction with Product Managers and UX Designers. The collaborative nature of the role means frequent interaction with engineers, researchers, and AI specialists across various Google divisions.

Operations Impact: The UX Engineer's work will directly shape the user experience of AI-native features within Chrome, influencing how millions of users interact with advanced AI capabilities. This role has the potential to define new interaction paradigms and set standards for AI-first software design in the browser, significantly impacting Chrome's competitive edge and user adoption of new technologies.

Growth Opportunities:

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

• Leadership: Transition into technical leadership roles, mentoring junior engineers, or leading specific feature development initiatives within the team.

• Cross-Functional Mobility: Gain exposure to diverse areas of Google's product ecosystem, potentially moving into related roles in product management, research, or other engineering disciplines.

• Skill Development: Access to extensive internal training, workshops, and conferences to stay at the forefront of UX, AI, and front-end development trends.

📝 Enhancement Note: This role offers significant growth potential for individuals passionate about the convergence of UX, AI, and web technologies. The opportunity to work on foundational AI features within Chrome provides a unique platform for career advancement and impact within one of the world's leading technology companies.

🌐 Work Environment

Office Type: On-site. This indicates a preference for in-person collaboration, team synergy, and access to on-site resources. Google's campuses are known for their dynamic and collaborative environments.

Office Location(s):

• Seattle, WA: Google has a significant presence in Seattle, offering a vibrant tech hub environment.

• Mountain View, CA: The iconic Googleplex campus, the company's headquarters, providing a vast array of amenities and collaborative spaces. Workspace Context:

• Expect a highly collaborative environment with ample opportunities for spontaneous interaction and brainstorming with colleagues.

• Access to state-of-the-art tools, technology, and potentially specialized hardware or software for prototyping and development.

• Opportunities to engage with a diverse range of professionals, from world-class designers and researchers to leading AI scientists.

Work Schedule: The role is full-time, with an on-site expectation. While core business hours are standard, Google often offers flexibility for focused work, allowing engineers to manage their schedules to optimize productivity and collaboration, especially when working on complex projects requiring deep concentration.

📝 Enhancement Note: The on-site requirement emphasizes the value Google places on in-person collaboration, innovation through shared ideation, and fostering a strong team culture. The choice between Seattle and Mountain View offers candidates some geographical flexibility within major tech hubs.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of resume and portfolio, focusing on qualifications and demonstrated experience.

• Technical Interviews: Multiple rounds assessing front-end development skills, UX design principles, prototyping capabilities, and problem-solving abilities. Expect coding challenges, system design questions, and discussions on past projects.

• Portfolio Review: A dedicated session where candidates present and discuss their work, highlighting contributions, technical approaches, and impact. Be prepared to articulate design decisions, development processes, and challenges overcome.

• Cross-functional Interviews: Conversations with Product Managers, UX Designers, and potentially AI researchers to assess collaboration skills, communication, and cultural fit.

• Hiring Committee Review: Final decision made by a committee based on all interview feedback.

Portfolio Review Tips:

• Curate Selectively: Choose 3-5 of your strongest, most relevant projects that demonstrate the skills outlined in the job description.

• Tell a Story: For each project, clearly articulate the problem, your role, the process you followed, the technical solutions implemented, and the measurable outcomes or impact.

• Show, Don't Just Tell: Use visual aids, live demos, or interactive prototypes whenever possible. For browser-based work, provide clear links or instructions for access.

• Highlight AI & Innovation: Emphasize any projects that involve AI, machine learning, experimental features, or novel interaction patterns.

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

Challenge Preparation:

• Front-End Fundamentals: Brush up on core JavaScript, HTML, CSS, and modern front-end frameworks (especially React).

• Prototyping Tools: Be comfortable discussing and demonstrating work done in tools like Figma, Sketch, Adobe XD, or custom prototyping frameworks.

• System Design: Prepare for questions related to architecting scalable front-end applications and user interfaces.

• AI Concepts: Familiarize yourself with basic AI concepts and how they are applied in user interfaces. Understand the unique challenges of designing for AI-native features.

• Behavioral Questions: Prepare examples using the STAR method (Situation, Task, Action, Result) to demonstrate teamwork, problem-solving, and leadership.

📝 Enhancement Note: The interview process at Google is rigorous and multi-faceted, designed to assess both technical expertise and cultural fit. A strong, well-articulated portfolio is critical for this role, serving as the primary evidence of a candidate's ability to execute on complex UX engineering tasks within an AI innovation context.

🛠 Tools & Technology Stack

Primary Tools:

• Front-End Frameworks: React is explicitly mentioned, suggesting it's a core technology for building UI components and applications. Experience with other modern frameworks may also be beneficial.

• Prototyping Tools: Proficiency with tools like Figma, Sketch, Adobe XD, or custom in-house solutions for rapid UX prototyping.

• Browser Technologies: Deep understanding of web standards, browser APIs, and development within browser environments (e.g., Chrome extensions, web components).

• Version Control: Git is standard for collaborative development.

Analytics & Reporting:

• Experience with analytics platforms for tracking user behavior and feature performance.

• Familiarity with A/B testing frameworks to validate design and technical decisions.

• Tools for performance monitoring and debugging of web applications. CRM & Automation:

• While not a direct CRM role, understanding how front-end interactions feed into backend systems and data pipelines is important.

• Familiarity with build tools, CI/CD pipelines, and automation for testing and deployment.

• Experience with tools that facilitate AI-assisted engineering workflows.

📝 Enhancement Note: The technology stack leans heavily towards modern web development, with a specific emphasis on React and browser extension development. The mention of "AI-assisted engineering workflows" suggests exposure to or willingness to learn about tools that leverage AI to enhance the development process itself.

👥 Team Culture & Values

Operations Values:

• User Focus: "Focus on the user and all else will follow" is Google's guiding principle; all product decisions must prioritize user needs and experience.

• Innovation & Experimentation: A culture that encourages pushing boundaries, exploring novel ideas, and rapid iteration, especially within AI and new product development.

• Collaboration & Teamwork: Strong emphasis on cross-functional partnerships to achieve ambitious goals, valuing diverse perspectives.

• Data-Driven Decision Making: Utilizing data and metrics to inform design, development, and strategic choices.

• Technical Excellence: Setting high standards for code quality, craft, polish, and performance in all delivered work.

Collaboration Style:

• Highly collaborative, with a strong emphasis on working closely with Product Management, UX Design, Research, and AI specialists.

• Expect a culture of constructive feedback, knowledge sharing, and open communication to foster innovation and ensure high-quality execution.

• Agile methodologies and rapid iteration are likely key components of the team's workflow, promoting continuous improvement.

📝 Enhancement Note: The team's culture will likely reflect Google's broader values of innovation, user-centricity, and data-driven decision-making, amplified by the experimental nature of an AI innovation group. Collaboration is not just encouraged but is a fundamental requirement for success in bridging design, engineering, and AI research.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapidly Evolving AI Landscape: Staying ahead of the curve in AI advancements and translating them into intuitive, user-friendly browser experiences.

• Balancing Innovation with Scale: Developing cutting-edge features that are also robust, performant, and scalable for millions of Chrome users.

• Cross-Disciplinary Collaboration: Effectively communicating and aligning technical capabilities with design visions and AI research objectives.

• Defining New Interaction Paradigms: Establishing best practices and user expectations for AI-native browser features.

Learning & Development Opportunities:

• Deep Dive into AI: Direct exposure to and collaboration with leading AI researchers and engineers at Google.

• Advanced UX Engineering: Opportunities to hone skills in motion design, complex UI development, and performance optimization.

• Technical Leadership: Potential to lead technical initiatives, mentor junior engineers, and influence the direction of AI features in Chrome.

• Industry Conferences & Training: Access to Google's extensive learning resources, internal workshops, and support for attending relevant industry events.

📝 Enhancement Note: This role presents significant challenges at the forefront of AI and UX, offering substantial opportunities for professional growth and the chance to make a tangible impact on a widely used product.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex UI you've built that involved intricate user interactions or animations. What were the technical challenges, and how did you overcome them?" (Focus on technical approach, problem-solving, and craft.)

• "How would you approach designing and prototyping a new AI-powered feature for the Chrome browser, considering user privacy and ethical implications?" (Assess design thinking, user empathy, and awareness of AI considerations.)

• "Tell me about a time you had to collaborate closely with designers or researchers who had ambitious ideas. How did you bridge the gap between their vision and technical feasibility?" (Evaluate collaboration, communication, and negotiation skills.) Company & Culture Questions:

• "What excites you most about working on AI innovation within the Chrome browser at Google?" (Demonstrate genuine interest and understanding of the role and company.)

• "How do you stay updated on the latest trends in front-end development, UX design, and AI?" (Showcase continuous learning and passion for the field.)

• "Describe your ideal team environment for fostering creativity and rapid iteration." (Align your expectations with Google's collaborative and innovative culture.) Portfolio Presentation Strategy:

• Structure: For each project, use a clear narrative: Problem -> Your Role -> Process (Design/Dev) -> Solution -> Outcome/Impact.

• Technical Depth: Be ready to discuss specific code implementations, architectural decisions, and the rationale behind them.

• Visual Craft: Highlight the polish, animation, and overall aesthetic quality of your work. Demonstrate how it enhances the user experience.

• AI Relevance: If applicable, clearly articulate how AI or experimental technologies were integrated and what unique challenges that presented.

• Conciseness: Be mindful of time; focus on the most impactful aspects of your projects.

📝 Enhancement Note: Preparation should focus on showcasing a blend of technical mastery, design sensibility, and collaborative spirit, with a particular emphasis on how you approach innovation and problem-solving in the context of AI-driven user experiences.

📌 Application Steps

To apply for this UX Engineer position:

• Submit your application through the Google Careers portal, ensuring your resume is up-to-date and highlights relevant experience.

• Portfolio Customization: Prepare a portfolio that specifically showcases your front-end development, UX design, and prototyping skills, with a strong emphasis on visual craft, motion design, and any AI-related projects. Ensure links are accessible and instructions are clear.

• Resume Optimization: Tailor your resume to include keywords from the job description such as "UX Engineer," "Front-end development," "Prototyping," "React," "Chrome extensions," "Motion design," and "AI-assisted engineering." Quantify achievements where possible.

• Interview Preparation: Practice articulating your experience using the STAR method and prepare to discuss your portfolio projects in detail, focusing on technical challenges, design rationale, and impact. Be ready for live coding and system design challenges.

• Company Research: Understand Google's mission, Chrome's role in the web ecosystem, and the significance of AI innovation within the company. Research the specific team's focus if possible.

⚠️ 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.