Senior Staff UX Designer, Workspace GenAI Foundations Platform

📍 Job Overview

Job Title: Senior Staff UX Designer, Workspace GenAI Foundations Platform

Company: Google

Location: New York, NY; Cambridge, MA; Kirkland, WA; Los Angeles, CA; Seattle, WA; San Francisco, CA; Burgas, Bulgaria

Job Type: Full-time

Category: User Experience (UX) Design / Product Design

Date Posted: 2026-09-29

Experience Level: Senior Staff / 10+ Years

Remote Status: On-site

🚀 Role Summary

• Spearhead the User Experience (UX) strategy and design execution for Google's Generative AI Foundations Platform within the Workspace suite, driving innovation in AI-powered productivity tools.

• Lead and inspire cross-functional teams, including engineers, researchers, and product managers, to ensure a cohesive and user-centric design across the entire Google Workspace ecosystem.

• Translate complex user needs, market analysis, and competitive insights into actionable UX strategies that directly inform product direction and high-impact product opportunities.

• Develop and present compelling narratives and design proposals to senior stakeholders, influencing product roadmaps and securing buy-in for strategic design initiatives.

• Champion user-centric design principles, advocating for user needs throughout the product development lifecycle to deliver intuitive, accessible, and delightful experiences for billions of users.

📝 Enhancement Note: While the title is "Senior Staff UX Designer," the responsibilities and qualifications suggest a role with significant strategic influence and leadership, akin to a Principal or Lead UX Designer. The focus on "Foundations Platform" implies a role that defines core UX patterns and capabilities for future AI-driven features across Workspace.

📈 Primary Responsibilities

• Define and drive the overarching UX strategy and detailed design execution for multiple critical areas within the Generative AI Foundations Platform.

• Conduct comprehensive market analysis, competitive landscape reviews, and deep user research to identify unmet needs and opportunities for innovation in AI-powered collaboration.

• Develop compelling user flows, wireframes, UI mockups, and interactive prototypes to effectively communicate design concepts and solutions to cross-functional teams and stakeholders.

• Collaborate closely with engineering teams to understand technical constraints and opportunities, ensuring design feasibility and seamless integration of AI features.

• Present design proposals, user insights, and strategic recommendations to senior leadership, influencing product direction and securing alignment on design vision.

• Inspire and guide product teams across the Google Workspace suite to maintain a unified and consistent user experience, ensuring brand integrity and user trust in AI-generated content and functionalities.

• Advocate for accessibility best practices and inclusive design principles to ensure that AI-powered Workspace features are usable by everyone.

• Contribute to the evolution of product strategy by translating user needs and market trends into innovative design solutions.

📝 Enhancement Note: The responsibilities highlight a blend of strategic thinking, hands-on design execution, and cross-functional leadership. The emphasis on "Foundations Platform" suggests a role that sets the stage for future AI integrations, requiring a strong understanding of system-level design and scalability.

🎓 Skills & Qualifications

Education:

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

• Master's degree in a related field is preferred, indicating a strong academic foundation in design principles and research methodologies. Experience:

• Minimum of 10 years of progressive experience in product design and/or UX design.

• Preferred: 15 years of experience in product design or UX, with a proven track record of shipping successful products.

• Demonstrated experience in building and launching products from conception to launch, encompassing both strategic product definition and detailed design execution.

• Specific experience designing for AI-powered products and services, with a deep understanding of the unique challenges and opportunities presented by Generative AI.

• Proven ability to collaborate effectively with engineers, understanding the technical implications of design decisions and working towards feasible solutions. Required Skills:

• Expertise in Product Design and UX Design methodologies.

• Proficiency in Interaction Design, translating user needs into intuitive interfaces.

• Strong portfolio showcasing a range of product design work, including case studies on complex problems and their solutions.

• Experience with user research, synthesizing insights to inform design decisions.

• Skills in wireframing, user flows, and UI mockups.

• Ability to develop and present compelling design proposals and narratives.

• Cross-functional collaboration experience with engineering, product management, and research teams. Preferred Skills:

• Deep understanding of Generative AI principles and applications.

• Experience in designing for large-scale platforms and ecosystems (e.g., Google Workspace).

• Proficiency in prototyping tools and creating interactive prototypes.

• Knowledge of accessibility standards and inclusive design practices.

• Experience in market analysis and competitive insights gathering.

• Product strategy development and contribution to product roadmaps.

• Stakeholder management skills, including influencing senior leadership.

📝 Enhancement Note: The experience requirement is substantial, pointing towards a senior individual contributor role (Staff level) where deep expertise and strategic influence are paramount. The emphasis on AI and platform design suggests a need for forward-thinking designers who can shape future product directions.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio demonstrating a minimum of 10 years of product design and UX experience, with a strong emphasis on shipped products.

• Detailed case studies showcasing the entire design process, from problem definition and user research to solution ideation, prototyping, and final design execution.

• Specific examples of designing for complex systems, platforms, or AI-powered products, highlighting the unique challenges and solutions.

• Evidence of driving product strategy and influencing product direction through design.

• Demonstrated ability to collaborate with engineering and other cross-functional teams, with clear articulation of your role and contributions.

• Inclusion of a viewable link or clear access instructions to your portfolio within your resume. Process Documentation:

• Examples of how you've translated user needs and market analysis into actionable UX strategies.

• Demonstration of creating user flows, wireframes, and interactive prototypes for complex features or platforms.

• Case studies illustrating your process for iterating on designs based on feedback and user testing.

• Evidence of how you've collaborated with engineers to ensure design feasibility and implementation.

📝 Enhancement Note: For a Senior Staff role at Google, the portfolio is critical. It needs to go beyond just showcasing aesthetics; it must demonstrate strategic thinking, problem-solving acumen, leadership in design processes, and a deep understanding of how design impacts business and user outcomes, especially in cutting-edge areas like Generative AI.

💵 Compensation & Benefits

Salary Range:

• US: $236,000 - $329,000 (USD) annually. Benefits:

• 25% bonus target, providing performance-based financial incentives.

• Equity grants, offering ownership and participation in the company's growth.

• Comprehensive health insurance plans.

• Retirement benefits, likely including a 401(k) plan with company matching.

• Additional benefits may include paid time off, parental leave, wellness programs, and employee assistance programs, typical for major tech companies like Google. Working Hours:

• Standard full-time work hours are typically 40 hours per week. While the role is on-site, Google often offers some flexibility in daily scheduling, allowing for effective management of personal and professional commitments.

📝 Enhancement Note: The salary range provided is for the US. For international locations like Burgas, Bulgaria, compensation would be adjusted based on local market rates, cost of living, and local labor laws. The bonus and equity components are significant additions to the base salary, reflecting the senior level and impact expected. The provided range is competitive for a Senior Staff UX Designer in high-cost US tech hubs.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, Software, Artificial Intelligence, Cloud Computing, Productivity Software. Google operates at the forefront of innovation, driving advancements in search, AI, cloud services, and digital content.

Company Size: Google is a massive global corporation, employing hundreds of thousands of individuals worldwide. This scale offers unparalleled resources, opportunities for impact, and exposure to diverse projects and teams.

Founded: 1998. With a rich history of innovation, Google has a deeply ingrained culture of pushing boundaries, embracing data-driven decision-making, and prioritizing user experience.

Team Structure:

• The UX team within Google Workspace is likely structured to support various product areas. This role sits within the "Workspace GenAI Foundations Platform" team, suggesting a specialized group focused on core AI capabilities that underpin many Workspace products.

• Reporting structure likely involves a UX Manager or Director, with close collaboration with Product Management leads, Engineering Directors, and potentially Research leads for the GenAI platform.

• Cross-functional collaboration is a cornerstone of Google's culture. This role will work daily with engineers, product managers, researchers, and potentially other designers and content strategists to bring AI features to life. Methodology:

• Data-driven decision-making is paramount. Expect a strong emphasis on user research, A/B testing, and analyzing usage metrics to validate design choices and product direction.

• Agile methodologies are likely employed for product development, allowing for iterative design and development cycles.

• A strong focus on user-centric design, ensuring that user needs, behaviors, and emotions are thoroughly understood and addressed throughout the design process.

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

📝 Enhancement Note: Google's culture is renowned for its emphasis on innovation, user focus, and data-driven decision-making. For a role in GenAI foundations, expect a fast-paced, highly collaborative environment where groundbreaking work is the norm, and a deep understanding of both user needs and technical possibilities is essential.

📈 Career & Growth Analysis

Operations Career Level: Senior Staff UX Designer. This level signifies a highly experienced individual contributor who is expected to operate with significant autonomy, influence product strategy, mentor junior designers, and tackle the most complex design challenges. It sits below Principal and Distinguished levels but above Senior or Lead.

Reporting Structure: Typically reports to a UX Manager or Director responsible for a specific product area or platform. This role will lead design efforts for the GenAI Foundations Platform and collaborate extensively with peers in Product Management and Engineering.

Operations Impact: This role has a profound impact on the future direction of Google Workspace by defining the core AI experiences that will power a suite of products used by billions. The success of this platform will directly influence user productivity, engagement, and Google's competitive positioning in the AI space.

Growth Opportunities:

• Technical Specialization: Deepen expertise in Generative AI UX, becoming a go-to expert within Google for AI-driven design challenges.

• Leadership: Transition into management roles (UX Manager) or advance to higher individual contributor levels (Principal/Distinguished Designer), leading larger initiatives or defining company-wide design standards.

• Cross-Product Influence: Expand influence beyond the GenAI Foundations Platform to shape design across the broader Google Workspace suite or even other Google product areas.

• Mentorship: Guide and mentor junior and mid-level designers, fostering talent development within the organization.

• Industry Recognition: Contribute to the broader design community through talks, publications, or open-source contributions.

📝 Enhancement Note: The "Senior Staff" title implies a role focused on deep technical expertise and strategic impact rather than people management, though mentorship is expected. Growth paths often involve taking on more complex, ambiguous problems and leading design initiatives that have company-wide implications.

🌐 Work Environment

Office Type: This is an on-site role, meaning you will be working from a Google office. Google offices are known for their innovative design, focus on collaboration, and employee amenities.

Office Location(s): The role is available in major tech hubs: New York, NY; Cambridge, MA; Kirkland, WA; Los Angeles, CA; Seattle, WA; San Francisco, CA; and Burgas, Bulgaria. These locations offer vibrant work environments and access to talent pools.

Workspace Context:

• Collaborative Environment: Expect a dynamic, open-plan office setting designed to foster interaction and spontaneous collaboration with colleagues from various disciplines.

• Tools and Technology: Access to cutting-edge design and development tools, powerful hardware, and robust internal Google systems and infrastructure.

• Team Interaction: Frequent design reviews, brainstorming sessions, and project meetings with cross-functional teams, both in-person and virtually. The focus is on seamless integration of AI capabilities into existing and new Workspace features.

Work Schedule: While the role is on-site and full-time (40 hours/week), Google often supports flexible work arrangements within the office environment, allowing employees to manage their schedules effectively while ensuring team alignment and productivity.

📝 Enhancement Note: Being on-site at a Google office means being immersed in a culture that prioritizes collaboration and innovation. The specific office location will influence the day-to-day environment, but the core principles of a tech-forward, user-focused workspace remain consistent.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: HR or recruiter call to assess basic qualifications, interest, and cultural fit.

• Portfolio Review & Design Challenge: A dedicated session to present your portfolio, walk through case studies, and potentially tackle a design problem relevant to the role. Expect to discuss your process, decision-making, and impact.

• On-site/Virtual Interviews: A series of interviews (typically 4-5) with designers, researchers, product managers, and engineering leads. These will cover design skills, technical understanding, collaboration, problem-solving, and leadership.

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

Portfolio Review Tips:

• Curate Strategically: Select 3-4 of your strongest projects that best showcase your experience with complex problems, AI, platform design, and driving product strategy.

• Tell a Story: For each case study, clearly articulate the problem, your role, your process (research, ideation, iteration, execution), the challenges faced, your key decisions, and the measurable impact of your work.

• Highlight AI & Platform Experience: Emphasize any projects involving AI, machine learning, or large-scale platform design, detailing your specific contributions and learnings.

• Showcase Collaboration: Illustrate how you worked with engineers, product managers, and other stakeholders, demonstrating your ability to influence and align teams.

• Design for Impact: Clearly articulate the business and user outcomes achieved through your design solutions. Use metrics where possible.

• Be Prepared for Deep Dives: Expect interviewers to ask detailed questions about your design choices, your rationale, and your process.

Challenge Preparation:

• Understand the Domain: Familiarize yourself with Google Workspace, Generative AI, and the potential applications in productivity tools.

• Practice Problem-Solving: Be ready to break down ambiguous problems, define user needs, and brainstorm potential solutions.

• Articulate Your Thinking: Practice explaining your thought process clearly and concisely, even when you don't have all the answers.

• Focus on User Value: Ensure your proposed solutions are grounded in user needs and business objectives.

📝 Enhancement Note: Google's interview process is rigorous and designed to assess not just design skills but also problem-solving abilities, collaboration, and cultural fit. A strong, well-articulated portfolio is the gateway to progressing through the interview stages.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma (primary), Sketch, Adobe Creative Suite (Photoshop, Illustrator), potentially specialized AI prototyping tools.

• User Research & Analysis: Google's internal research platforms, survey tools, analytics platforms (e.g., Google Analytics, internal dashboards).

• Collaboration & Communication: Google Workspace suite (Docs, Sheets, Slides, Meet, Chat), internal communication tools, project management software.

Analytics & Reporting:

• Proficiency in interpreting data from analytics platforms to understand user behavior and measure design impact.

• Experience with A/B testing frameworks and analyzing test results to inform design iterations.

• Ability to create clear and concise reports or presentations on design performance and user insights. CRM & Automation:

• While not a direct CRM role, understanding how design impacts user journeys within CRM-like systems (e.g., sales or customer support tools within Workspace) is beneficial.

• Familiarity with automation concepts, especially how AI can automate tasks within Workspace, is key.

📝 Enhancement Note: Google likely utilizes a custom-built suite of internal tools for design, research, and analytics. While proficiency in industry-standard tools like Figma is expected, adaptability to Google's proprietary systems and a strong understanding of data-driven design principles are crucial.

👥 Team Culture & Values

Operations Values:

• User Focus: "Focus on the user and all else will follow" is a core Google philosophy. Expect a relentless dedication to understanding and serving user needs.

• Innovation & Ambition: A culture that encourages bold ideas, taking on ambitious challenges, and pushing the boundaries of technology, especially in AI.

• Data-Driven: Decisions are informed by data, research, and rigorous analysis. Gut feelings are important, but validated by evidence.

• Collaboration & Teamwork: Strong emphasis on working effectively across disciplines and teams to achieve shared goals. Open communication and knowledge sharing are highly valued.

• Excellence & Quality: A commitment to delivering high-quality, polished products that meet Google's high standards.

Collaboration Style:

• Cross-functional Integration: Designers work hand-in-hand with engineers and product managers from the outset of a project.

• Open Feedback Culture: Regular design reviews and feedback sessions are common, encouraging constructive criticism and continuous improvement.

• Knowledge Sharing: A culture that promotes sharing best practices, learnings, and insights through internal forums, documentation, and presentations. Experimentation and learning from failures are encouraged.

📝 Enhancement Note: The culture at Google, particularly within product teams like Workspace, is characterized by high intellectual curiosity, a drive for impact, and a collaborative spirit. For a role in GenAI foundations, expect a dynamic environment where challenging the status quo and exploring new frontiers is the norm.

⚡ Challenges & Growth Opportunities

Challenges:

• Ambiguity in AI: Designing for Generative AI involves navigating new and evolving technological capabilities, ethical considerations, and user trust issues. Defining foundational UX patterns for these nascent technologies is a significant challenge.

• Scalability & Consistency: Ensuring that AI-driven experiences are scalable across a vast product suite like Google Workspace while maintaining a consistent and coherent user experience is complex.

• Cross-Functional Alignment: Gaining consensus and driving alignment among diverse stakeholders (engineering, product, research, legal, policy) on complex AI features can be demanding.

• Rapid Technological Evolution: Keeping pace with the rapid advancements in AI and integrating them effectively into user-facing products requires continuous learning and adaptation.

Learning & Development Opportunities:

• Access to Cutting-Edge Research: Direct exposure to Google's leading AI research and development efforts.

• Internal Training & Workshops: Numerous opportunities for skill development in AI, design methodologies, leadership, and emerging technologies.

• Mentorship Programs: Access to experienced mentors within Google who can guide career growth and skill development.

• Conferences & Industry Events: Opportunities to attend and potentially present at leading UX and AI conferences.

• Specialization Tracks: Potential to become a deep expert in AI UX, platform design, or specific areas of Google Workspace.

📝 Enhancement Note: This role presents unique challenges at the intersection of AI and user experience, offering significant opportunities for professional growth and impact. The ability to navigate ambiguity and drive innovation in a rapidly evolving field will be key to success.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to define the UX strategy for a complex product or platform. How did you approach it, and what was the outcome?" (Prepare a case study focusing on strategy, market analysis, and user needs.)

• "How would you approach designing for Generative AI in a productivity context like Google Workspace? What are the key considerations for user trust, control, and accuracy?" (Be ready to discuss AI ethics, user education, and safety measures.)

• "Walk us through a project where you influenced senior stakeholders to adopt your design vision. What was your approach to building consensus and communicating your proposal?" (Focus on narrative building, data-driven arguments, and stakeholder management.) Company & Culture Questions:

• "Why Google, and why this role specifically? What excites you about working on Workspace and Generative AI?" (Research Google's mission, Workspace's impact, and the future of AI in productivity.)

• "How do you ensure a unified user experience across multiple product surfaces when working on foundational platform components?" (Discuss your understanding of design systems, pattern libraries, and cross-team collaboration.)

• "Describe a situation where you had to collaborate closely with engineers on a technically challenging project. How did you ensure your design was feasible and well-implemented?" (Highlight your understanding of technical constraints and your collaborative problem-solving approach.) Portfolio Presentation Strategy:

• Select Impactful Projects: Choose 2-3 projects that best demonstrate your experience with complex systems, AI, platform design, and strategic influence.

• Structure Your Narrative: For each project, clearly outline the problem statement, your role, the user research conducted, your design process and key decisions, the technical considerations, the collaborative efforts, and the measurable business/user impact.

• Quantify Results: Use data and metrics whenever possible to demonstrate the success of your designs (e.g., increased engagement, improved task completion rates, user satisfaction scores).

• Be Prepared for Deep Dives: Anticipate detailed questions about your design rationale, trade-offs made, and challenges overcome.

• Showcase AI/Platform Expertise: Specifically highlight any experience with AI, ML, or foundational platform design, explaining your unique contributions and learnings.

📝 Enhancement Note: Google's interview process emphasizes a structured approach to problem-solving, strong communication skills, and a deep understanding of user-centered design principles, especially within the context of complex, large-scale products and emerging technologies like AI.

📌 Application Steps

To apply for this Senior Staff UX Designer position:

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

• Portfolio Customization: Ensure your resume includes a clear, viewable link to your portfolio. Tailor your portfolio to highlight projects demonstrating experience with AI, platform design, complex problem-solving, and cross-functional leadership.

• Resume Optimization: Craft a resume that clearly articulates your 10+ years of experience, emphasizing achievements and impact relevant to product design, UX strategy, and AI. Use keywords from the job description.

• Interview Preparation: Thoroughly review Google's interview process and prepare to present your portfolio with detailed case studies. Practice articulating your design process, rationale, and impact for each project.

• Company Research: Deepen your understanding of Google Workspace, its current AI initiatives, and Google's overall approach to AI and user experience. Be ready to articulate why you are a strong cultural fit.

⚠️ 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.