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; Sunnyvale, CA

Job Type: Full-Time

Category: UX/Product Design (with a focus on AI and foundational platforms)

Date Posted: September 24, 2026

Experience Level: Senior Staff (10+ years)

Remote Status: On-site

🚀 Role Summary

• Drive the strategic vision and user experience design for foundational Generative AI platforms within Google Workspace.

• Lead the design execution for complex, high-impact collaboration experiences that integrate AI capabilities.

• Champion user-centered design principles and advocate for user needs throughout the product development lifecycle, ensuring intuitive and magical experiences.

• Collaborate closely with cross-functional teams, including engineers, researchers, and product managers, to translate user needs and market insights into actionable design strategies.

• Influence senior stakeholders through compelling narratives and data-driven design proposals to inform product direction and decision-making.

📝 Enhancement Note: While this role is in UX Design, its focus on "GenAI Foundations Platform" and "Workspace" implies a deep connection to the operational infrastructure and user enablement that underpins broader GTM and revenue generation strategies. The "Senior Staff" level indicates a significant leadership and strategic contribution expected, which often involves influencing operational workflows and user adoption of new technologies.

📈 Primary Responsibilities

• Define and drive the user experience (UX) strategy and design execution for critical areas within the Generative AI Foundations Platform, ensuring scalability and impact.

• Conduct market analysis, gather competitive insights, and deeply understand user needs to inform the UX experience strategy and product direction for AI-powered collaboration tools.

• Lead the development of compelling narratives and design proposals to influence senior stakeholder decision-making and secure buy-in for high-impact product opportunities.

• Own the design and strategy for collaboration experiences, ensuring a unified and seamless user experience across the Google Workspace suite by inspiring and guiding cross-functional partners.

• Anticipate user needs, advocate for them throughout the design process, and ensure the final product is intuitive, accessible, refined, and delightful for billions of users.

• Collaborate with engineering teams to understand technical implications of design decisions and ensure feasibility and optimal implementation of AI features.

• Translate complex challenges into intuitive, accessible, and easy-to-use designs, from initial user flows and wireframes to polished UI mockups and prototypes.

📝 Enhancement Note: The responsibilities highlight a strategic role that bridges user experience with product strategy and cross-functional leadership. For operations professionals, this translates to understanding how foundational AI platforms impact user adoption, workflow efficiency, and ultimately, the operational effectiveness of sales, marketing, and customer success teams leveraging Google Workspace.

🎓 Skills & Qualifications

Education:

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

• Master's degree in a related field is preferred, indicating a deeper theoretical and practical understanding of design principles and user behavior. Experience:

• Minimum of 10 years of experience in product design or UX, with a strong emphasis on end-to-end design execution and strategy.

• Preferred 15 years of experience, signaling a need for seasoned leadership and deep industry insight.

• Proven experience building and launching products from scratch, demonstrating capability in both strategic product vision and detailed design execution. Required Skills:

• Product Design & UX Design: Deep expertise in the entire product design lifecycle, from conceptualization to final implementation.

• Interaction Design: Ability to craft intuitive and engaging user flows and interfaces for complex systems.

• Prototyping & Wireframing: Proficiency in creating low-fidelity wireframes and high-fidelity interactive prototypes to communicate design concepts.

• User Flows: Skill in mapping out user journeys and interactions to ensure seamless navigation and task completion.

• Product Strategy: Capacity to align design initiatives with broader product goals and market opportunities.

• Stakeholder Management: Ability to effectively communicate and influence senior leaders and cross-functional partners.

• Cross-functional Collaboration: Proven ability to work effectively with engineering, research, and product management teams.

• Market Analysis: Skill in researching and interpreting market trends and competitive landscapes to inform design decisions.

• Design Execution: Demonstrated ability to deliver polished, high-quality design assets.

• Usability & Accessibility: Strong understanding of user-centered design principles and commitment to creating inclusive and accessible products for all users.

Preferred Skills:

• Generative AI Design: Specific experience designing for AI-powered products and services, understanding the unique challenges and opportunities of this technology.

• Human-Computer Interaction (HCI): Advanced theoretical knowledge and practical application of HCI principles.

• Technical Collaboration: Ability to understand and discuss technical implications of design decisions with engineers.

• AI Product Strategy: Experience contributing to the strategic direction of AI-driven products.

📝 Enhancement Note: The extensive experience requirement (10-15 years) and focus on "Senior Staff" level indicate a need for candidates who can not only design but also mentor, lead initiatives, and contribute to the strategic direction of the UX organization. For operations professionals, this means the AI foundational platform will likely be designed with scalability, integration into existing workflows, and operational efficiency for end-users in mind.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio showcasing a minimum of 10 years of professional product design and UX work.

• Must include detailed case studies demonstrating end-to-end design ownership, from initial concept and user research to final product launch and iteration.

• Specific examples of designing for complex platforms or foundational technologies are highly valued, especially those involving AI or collaboration.

• Evidence of driving product strategy and influencing product direction based on user needs and market analysis.

• Documentation of successful collaboration with engineering and product management teams.

• Examples of how design decisions led to measurable business impact or improved user outcomes. Process Documentation:

• Case studies should clearly articulate the design process followed, including:

  • User research methodologies and insights gathered.
  • Ideation and concept development stages.
  • Wireframing, user flow mapping, and prototyping techniques employed.
  • UI design and visual language development.
  • User testing and iterative refinement processes.
  • Collaboration strategies with cross-functional teams.
  • The impact of the final design on users and business objectives.

• Emphasis on designing for AI-powered products, including how user interaction models were developed for novel AI capabilities.

• Demonstrations of how accessibility and inclusivity were integrated throughout the design and development process.

📝 Enhancement Note: For a Senior Staff UX Designer role, especially at Google and focusing on foundational AI, a portfolio is critical. It should not just showcase finished products but demonstrate a deep understanding of process, strategic thinking, and the ability to navigate complex technical and organizational landscapes. This aligns with operations' need for structured, repeatable, and impactful processes.

💵 Compensation & Benefits

Salary Range: $236,000 - $329,000 (USD) annually. This range is competitive for a Senior Staff UX Designer role in major tech hubs in the US, reflecting the seniority, specialization (GenAI), and company prestige.

Benefits:

• Bonus Target: A 25% bonus target, providing an incentive tied to individual and company performance.

• Equity: Stock options or grants, offering long-term financial participation in Google's growth.

• Health Insurance: Comprehensive medical, dental, and vision coverage for employees and their families.

• Retirement Benefits: Access to retirement savings plans (e.g., 401k) with potential company matching.

• Paid Time Off: Generous vacation, sick leave, and holidays.

• Parental Leave: Supportive policies for new parents.

• Wellness Programs: Resources and programs focused on employee well-being.

• Professional Development: Opportunities for continuous learning, training, and conference attendance.

Working Hours: Standard full-time work week, typically around 40 hours per week. While on-site, there may be flexibility within core working hours, but the role requires significant dedicated time for collaboration and focused design work.

📝 Enhancement Note: The salary range is indicative of a senior-level position at a top-tier tech company. The inclusion of bonus, equity, and comprehensive benefits underscores the total compensation package and the company's investment in its senior talent. For operations professionals, understanding these compensation structures is key when evaluating roles that require significant strategic input and leadership.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (Software, AI, Cloud Computing, Productivity Tools). Google operates at the forefront of technological innovation, with a significant impact on global information access, productivity, and AI development.

Company Size: Extremely Large (over 100,000 employees globally). This scale offers vast resources, complex organizational structures, and opportunities for specialization, but also requires navigating internal processes and large teams.

Founded: 1998. Google has a long-standing history of innovation, user-centricity, and data-driven decision-making, which permeates its culture.

Team Structure:

• The UX team is likely structured with specialized groups focusing on different product areas or platform components. This specific role is within the "Workspace GenAI Foundations Platform" team.

• Expect a matrixed reporting structure where designers report to a UX leadership hierarchy but work day-to-day within product-focused, cross-functional teams (Product Managers, Engineers, Researchers).

• Collaboration is highly valued, with designers working closely with Product Managers on strategy, Engineers on technical feasibility, and Researchers on user insights. Methodology:

• Data Analysis & Insights: Google heavily relies on data to inform decisions. UX designers are expected to leverage user research, A/B testing results, and product analytics to validate designs and measure impact.

• User-Centered Design: The core philosophy is "Focus on the user and all else will follow." This translates to rigorous user research, usability testing, and a strong emphasis on empathy.

• Agile/Iterative Development: While not explicitly stated, Google typically employs agile or agile-like methodologies, requiring designers to work in iterative cycles, adapt to feedback, and manage evolving requirements.

• AI-First Approach: With a focus on GenAI, the team is likely embracing an "AI-first" mindset, exploring how AI can fundamentally enhance user experiences and product capabilities.

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

📝 Enhancement Note: Google's culture emphasizes innovation, data-driven decision-making, and a strong user focus. For operations professionals considering this role, understanding how foundational AI platforms are integrated into user workflows and impact overall operational efficiency is key. The "GenAI Foundations Platform" suggests a role that builds the underlying infrastructure for AI features used across Workspace, impacting how other teams and users operate.

📈 Career & Growth Analysis

Operations Career Level: Senior Staff UX Designer. This level signifies a highly experienced individual contributor who is a recognized expert in their domain. They are expected to lead complex projects, mentor junior designers, influence product strategy, and contribute to the overall UX vision and best practices within their area. This is a leadership role that doesn't necessarily involve direct people management but demands significant strategic influence and technical/design mastery.

Reporting Structure: Typically, a Senior Staff UX Designer reports to a UX Manager or Director. They work within cross-functional product teams, collaborating closely with Product Managers and Engineering Leads. Their influence extends across multiple teams and potentially product areas, driving alignment and a unified user experience.

Operations Impact: While this is a UX role, its impact on "operations" is profound. By designing foundational AI platforms for Google Workspace, this role directly influences:

• User Adoption & Efficiency: How easily and effectively users (including sales, marketing, and support teams) can leverage AI to perform tasks, automate workflows, and gain insights.

• Productivity Gains: The extent to which AI features streamline processes, reduce manual effort, and enhance overall productivity for Google Workspace users.

• Scalability of AI Features: The robustness and reliability of the underlying AI infrastructure, which supports the widespread deployment and effectiveness of AI tools.

• Cross-functional Alignment: Ensuring that AI capabilities are integrated seamlessly across different Workspace applications, promoting consistent user experiences and operational workflows.

Growth Opportunities:

• Technical Specialization: Deepen expertise in Generative AI design, becoming a leading authority in this cutting-edge field within Google.

• Strategic Leadership: Transition into roles with broader strategic oversight, potentially leading UX initiatives for entire product suites or foundational platforms.

• Mentorship & Team Development: Mentor junior and mid-level designers, contributing to the growth and skill development of the UX organization.

• Cross-Product Influence: Expand influence across multiple Google Workspace products, ensuring consistency and synergy in AI-driven user experiences.

• Potential for Management: While not a direct management role, successful Senior Staff designers often have pathways to UX Management roles if desired.

📝 Enhancement Note: The "Senior Staff" designation is crucial. It implies a level of autonomy and influence typically reserved for individuals who can shape product direction and operationalize design strategy. For operations professionals, this means the individual in this role will be a key partner in defining how AI is integrated into business processes and user workflows.

🌐 Work Environment

Office Type: Google operates with a hybrid work model, with a strong emphasis on on-site collaboration for many roles, especially those requiring deep cross-functional interaction and innovation. This role is explicitly listed as "On-site."

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

Workspace Context:

• Collaborative Spaces: Google offices are known for their open, collaborative environments designed to foster teamwork and spontaneous interaction. Expect shared workspaces, meeting rooms, and common areas conducive to brainstorming and problem-solving.

• Tools & Technology: Access to state-of-the-art design tools, hardware, and internal Google systems is standard. This includes advanced prototyping software, AI development tools, and robust internal communication platforms.

• Team Interaction: Daily interaction with a diverse, high-caliber team of designers, researchers, engineers, and product managers. This environment encourages knowledge sharing and continuous learning.

Work Schedule: While full-time, Google often provides flexibility around core working hours to accommodate personal needs and peak productivity times. However, the on-site requirement and the collaborative nature of the role necessitate consistent presence and availability for team meetings and design sprints.

📝 Enhancement Note: The on-site requirement in multiple prime tech locations suggests a company culture that values in-person collaboration for complex, strategic work like foundational AI platform design. This is typical for roles that require deep integration with engineering and product management, mirroring the need for close alignment in operational strategy development.

📄 Application & Portfolio Review Process

Interview Process:

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

• Portfolio Review: A dedicated session where candidates present their portfolio, walking through 2-3 key case studies. This is a critical stage to assess design thinking, process, impact, and communication skills.

• Design Challenges/Whiteboarding: Candidates may be asked to solve a design problem on the spot or discuss hypothetical scenarios, demonstrating problem-solving abilities and design approach.

• Cross-functional Interviews: Interviews with Product Managers, Engineers, and potentially Researchers to assess collaboration skills, technical understanding, and ability to work within a team.

• Leadership/Staff-Level Interview: A discussion focused on strategic thinking, mentorship, influence, and ability to drive impact at a senior level.

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

Portfolio Review Tips:

• Curate Strategically: Select 2-3 projects that best showcase your experience with complex platforms, AI (if applicable), foundational technologies, and end-to-end design ownership. Prioritize projects that demonstrate strategic thinking and significant impact.

• Tell a Story: For each case study, clearly articulate the problem, your role, the process you followed (research, ideation, prototyping, testing), the challenges you faced, your solutions, and the measurable outcomes. Quantify impact whenever possible (e.g., improved conversion rates, reduced task completion time, increased user satisfaction).

• Highlight AI & Foundational Aspects: If possible, include examples related to AI, platform design, or complex systems. Explain how you approached the unique challenges of these domains.

• Demonstrate Collaboration: Showcase how you worked with cross-functional partners and influenced decision-making.

• Practice Your Presentation: Rehearse your portfolio walkthrough to ensure a smooth, confident, and concise presentation. Be prepared for in-depth questions about your decisions and process.

Challenge Preparation:

• Understand Google's Design Philosophy: Familiarize yourself with Google's user-centered design principles, accessibility guidelines, and their approach to AI.

• Practice Problem-Solving: Be ready to tackle hypothetical design challenges related to AI integration, collaboration tools, or platform usability. Think out loud, articulate your assumptions, and explore different solutions.

• Focus on Process: Even if you don't have a perfect solution, demonstrating a strong, logical design process is key. Explain your rationale and how you would gather more information if needed.

• Prepare for Technical Discussions: Be ready to discuss the technical feasibility of your designs and how they might integrate with existing systems.

📝 Enhancement Note: The interview process at Google is rigorous and often involves multiple stages and interviewers. A strong portfolio showcasing strategic design thinking, a deep understanding of process, and proven impact is paramount. For this specific role, demonstrating an understanding of AI's unique design challenges and foundational platform considerations will be critical.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma, Sketch, Adobe Creative Suite (Photoshop, Illustrator), Principle, ProtoPie, Framer. Proficiency in at least one major design tool (like Figma) is essential.

• User Research & Testing: UserZoom, Lookback, Maze, Qualtrics, SurveyMonkey, and internal Google research platforms.

• Collaboration & Project Management: Google Workspace (Docs, Sheets, Slides, Meet), Jira, Asana, Trello.

• Wireframing & User Flows: Miro, Whimsical, Lucidchart, Balsamiq.

Analytics & Reporting:

• Data Analysis: Google Analytics, Amplitude, Mixpanel, Tableau, Looker. Understanding how to interpret user data and metrics is crucial.

• Reporting: Ability to synthesize findings into clear, actionable reports and presentations for stakeholders.

CRM & Automation:

• While this role is not directly in CRM management, understanding how design impacts user adoption of tools that may integrate with CRMs (like Salesforce, HubSpot) or utilize automation workflows is beneficial. Familiarity with how user-facing features can drive engagement with underlying business processes is a plus.

• Integration Tools: Awareness of how different software systems connect and how UX design can facilitate seamless integration for end-users.

📝 Enhancement Note: Google's internal toolset is extensive and proprietary. While specific internal tools won't be listed, candidates should demonstrate proficiency with industry-standard tools and a strong aptitude for learning new technologies quickly. The emphasis on analytics and data interpretation is critical for proving design impact, a core requirement for operational roles.

👥 Team Culture & Values

Operations Values:

• User Focus: A deep commitment to understanding and serving user needs, ensuring products are intuitive, accessible, and valuable. This aligns with operations' goal of enabling user success.

• Data-Driven Decision-Making: Reliance on data and research to inform design choices and measure impact, ensuring that design efforts are strategic and effective.

• Innovation & Experimentation: Encouragement to explore new ideas, push boundaries, and experiment with novel technologies like Generative AI.

• Collaboration & Teamwork: A strong emphasis on working effectively with diverse cross-functional teams to achieve shared goals.

• Impact & Scale: A focus on creating products that have a significant positive impact on a global scale.

Collaboration Style:

• Cross-Functional Integration: Designers are embedded within product teams, working closely and continuously with Product Managers, Engineers, and Researchers.

• Open Communication: A culture of open feedback, constructive critique, and transparent communication is encouraged.

• Knowledge Sharing: Designers are expected to share their learnings, best practices, and insights with the broader UX community within Google.

• Iterative Design Process: Collaboration involves continuous cycles of design, feedback, testing, and refinement.

📝 Enhancement Note: The values emphasize a blend of user advocacy, technical rigor, and collaborative spirit. For operations professionals, this means the UX team is likely to be highly analytical, data-informed, and focused on delivering solutions that can be effectively adopted and scaled across user bases, impacting operational efficiency.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Foundational AI: Developing user experiences for AI models that are inherently complex and rapidly evolving, requiring a balance of power and usability.

• Ensuring Unified Experience: Maintaining a consistent and intuitive user experience across a vast suite of products (Google Workspace) while integrating novel AI capabilities.

• Influencing Stakeholders: Navigating a large organization to gain buy-in and alignment for strategic design directions, especially for new technologies.

• Balancing Innovation with Usability: Pushing the boundaries of AI while ensuring the resulting features are accessible, understandable, and truly beneficial to a broad user base.

• Technical Constraints: Collaborating with engineering to understand and work within the limitations and possibilities of AI technologies.

Learning & Development Opportunities:

• Deep AI Expertise: Opportunities to become a specialist in designing for Generative AI, a highly sought-after skill.

• Cross-Product Exposure: Gaining experience across the entire Google Workspace ecosystem, understanding its various components and user needs.

• Leadership Development: Opportunities to mentor junior designers and lead strategic initiatives, honing leadership and influence skills.

• Industry Conferences & Workshops: Access to Google's resources for attending relevant industry events and training programs.

• Internal Knowledge Sharing: Learning from and contributing to a vast community of world-class designers, researchers, and engineers.

📝 Enhancement Note: This role presents significant challenges in a cutting-edge field, but also offers unparalleled growth opportunities. For operations professionals, understanding these challenges helps in anticipating how the foundational AI platform might evolve and impact future operational workflows.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you influenced product strategy based on your UX research and design insights. How did you gain stakeholder buy-in?" (Focus on data, narrative, and influence.)

• "How would you approach designing a foundational AI feature for collaboration that needs to be both powerful and intuitive for millions of diverse users?" (Emphasize user research, iterative design, and understanding of AI capabilities.)

• "Walk us through a complex product you designed from concept to launch. What were the key challenges, and how did you overcome them?" (Highlight end-to-end ownership, process, and impact.) Company & Culture Questions:

• "How do you stay updated on the latest trends in Generative AI and their potential impact on user experience?" (Showcase continuous learning and forward-thinking.)

• "Describe your experience collaborating with engineering teams. How do you ensure technical feasibility while advocating for user needs?" (Focus on partnership and communication.)

• "What does 'user-centered design' mean to you, and how have you applied it in your work?" (Demonstrate core UX philosophy.) Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, clearly define the problem, your specific role and contributions, the process, the challenges, your solutions, and the measurable outcomes.

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

• Showcase Process, Not Just Pixels: Explain why you made certain design decisions, referencing user research, data, or strategic goals.

• Be Prepared for Deep Dives: Interviewers will ask probing questions about your choices, challenges, and learnings. Be honest and reflective.

• Tailor to Google: If possible, subtly tie your experience and approach to Google's known values (user focus, innovation, data-driven).

📝 Enhancement Note: Preparation for this role should focus on demonstrating not only design craft but also strategic thinking, leadership potential, and the ability to operate effectively within Google's data-driven and collaborative environment. Highlighting experience with AI and foundational platforms will be key differentiators.

📌 Application Steps

To apply for this Senior Staff UX Designer position at Google:

• Submit your application through the Google Careers portal, ensuring your resume is up-to-date and includes a link to your online portfolio.

• Portfolio Customization: Curate your portfolio to prominently feature 2-3 impactful case studies that best align with designing for complex platforms, foundational technologies, and AI. Emphasize your end-to-end design process and measurable outcomes.

• Resume Optimization: Highlight your 10+ years of experience, specific skills in product design, UX, interaction design, and any relevant AI or platform design experience. Use keywords from the job description naturally.

• Interview Preparation: Practice your portfolio walkthrough, anticipating questions about your design process, strategic decision-making, collaboration, and handling of complex challenges. Prepare for potential design exercises or whiteboarding sessions.

• Company Research: Familiarize yourself with Google's design philosophy, its approach to AI, and the Google Workspace ecosystem. Understand the company's commitment to user-centricity and data-driven innovation.

⚠️ 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.