Senior UX Designer, AI Governance, Workspace

📍 Job Overview

Job Title: Senior UX Designer, AI Governance, Workspace

Company: Google

Location: Sunnyvale, California, United States / Seattle, Washington, United States

Job Type: Full-Time

Category: UX Design / Product Design (with a focus on AI Governance and Enterprise Solutions)

Date Posted: 2026-06-24

Experience Level: 6+ years (Senior Level)

Remote Status: On-site

🚀 Role Summary

• Lead the design of complex, enterprise-grade user experiences for AI governance within Google Workspace, focusing on security, compliance, and administrative controls.

• Craft intuitive interfaces and workflows for managing AI agents, non-human identities, and complex access management systems, ensuring clarity and trust.

• Drive user-centered design methodologies from concept to execution, translating intricate technical requirements into seamless, magical product experiences.

• Collaborate closely with cross-functional teams including Product Management, Engineering, AI/ML specialists (DeepMind), and Security to deliver industry-leading solutions.

• Define and evolve design language for AI governance features, ensuring consistency and innovation across Google's productivity suite.

📝 Enhancement Note: This role is positioned within the Google Workspace Enterprise UX team, emphasizing the design of administrative tools for IT professionals. The core focus is on the emerging field of AI governance, requiring a deep understanding of enterprise security, compliance, and the unique challenges presented by generative AI and autonomous agents. The "Workspace" designation implies a deep integration with Google's suite of productivity applications like Gmail, Docs, Drive, etc.

📈 Primary Responsibilities

• Spearhead the end-to-end design of enterprise controls for AI and non-human identities, creating interaction models that clearly differentiate human and agent actions for robust attribution.

• Reimagine Identity and Access Management (IAM) workflows for autonomous agents, translating complex Role-Based Access Controls (RBAC) into user-friendly and efficient interfaces.

• Develop sophisticated dashboards and audit logs that present complex generative AI actions as human-readable insights, enabling administrators to grasp data access and permissions effectively.

• Design policy engines and Data Loss Prevention (DLP) controls specifically for generative AI, empowering administrators to establish clear boundaries and safeguard sensitive corporate data.

• Drive design sprints, build high-fidelity prototypes, and champion design excellence through close partnership with Product Management, Engineering, Identity, and Security teams.

• Apply user-centered design principles to craft intuitive, secure, and compliant user experiences for enterprise administrators managing AI deployments at scale.

• Contribute to the evolution of the Google design language, ensuring it effectively addresses the unique challenges and opportunities in AI governance.

📝 Enhancement Note: The responsibilities highlight a significant focus on security, compliance, and administrative control, which are critical aspects of enterprise operations. The role demands expertise in translating complex technical concepts like RBAC and DLP into actionable design solutions for IT professionals.

🎓 Skills & Qualifications

Education:

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

• Master's degree in a related field is preferred. Experience:

• Minimum of 6 years of experience in interaction design, product design, or UX design, with a proven track record of delivering end-to-end user interfaces.

• Preferred: 3 years of experience working within complex, cross-functional organizations and 2 years of experience leading design projects. Required Skills:

• Proficiency in designing end-to-end user interfaces, user flows, and interactive prototypes using industry-standard design tools (e.g., Figma).

• Strong understanding of user-centered design principles and methodologies.

• Experience designing for complex, data-heavy, or highly technical applications, particularly in B2B, enterprise IT, developer tools, or cybersecurity contexts.

• Familiarity with designing admin consoles, policy builders, compliance tools, or complex workflow systems.

• Ability to translate intricate system architectures and information architecture into intuitive user experiences.

• Excellent communication, collaboration, and presentation skills for cross-functional team engagement. Preferred Skills:

• Experience with generative AI concepts and designing systems that build user trust, clear system attribution, and utilize progressive disclosure.

• Deep understanding of Identity and Access Management (IAM) principles, including Role-Based Access Control (RBAC).

• Experience designing Data Loss Prevention (DLP) controls and policy engines.

• Familiarity with designing for autonomous agents and non-human identities.

• Experience in evolving design languages and contributing to design systems.

• Leadership experience in guiding design projects and mentoring junior designers.

📝 Enhancement Note: The required and preferred skills clearly indicate a need for a designer who can handle highly technical and sensitive enterprise solutions, with a strong emphasis on AI governance, security, and compliance. The mention of Figma is a direct tool requirement.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A comprehensive portfolio showcasing end-to-end user interface designs, user flows, and interactive prototypes, demonstrating your ability to tackle complex problems.

• Examples of designing for enterprise software, B2B applications, or highly technical systems.

• Case studies that illustrate your design process, problem-solving approach, and impact on user experience and business objectives.

• Demonstrations of how you have translated complex technical requirements into intuitive and usable interfaces.

• Evidence of designing for security, compliance, or governance-related features is highly advantageous. Process Documentation:

• Showcase your ability to document design decisions, user flows, wireframes, and prototypes clearly and effectively.

• Provide examples of how you have collaborated with engineering and product management through design sprints and iterative development cycles.

• Demonstrate your understanding of how to gather and integrate user feedback and insights into the design process to drive iterative improvements.

📝 Enhancement Note: For a senior role at Google, particularly in a specialized area like AI governance, the portfolio is paramount. It needs to go beyond visual design to demonstrate strategic thinking, problem-solving capabilities, and a deep understanding of enterprise user needs and complex system design. The emphasis on AI governance, IAM, and DLP means case studies in these areas will be particularly impactful.

💵 Compensation & Benefits

Salary Range: $159,000 - $231,000 USD per year (based on US location)

Benefits:

• 15% Bonus Target: Performance-based annual bonus.

• Equity: Stock options or grants as part of the compensation package.

• Comprehensive Benefits Package: Includes health insurance (medical, dental, vision), retirement savings plans (e.g., 401k), paid time off, parental leave, and other employee wellness programs.

• Access to Google's extensive employee perks and resources.

Working Hours: 40 hours per week (standard full-time, though flexibility may be available depending on team and project needs).

📝 Enhancement Note: The provided salary range is for the US market. For Sunnyvale, CA, this aligns with senior UX designer roles in major tech companies, considering the cost of living in the Bay Area. For Seattle, WA, it is also competitive given the tech industry presence. The bonus target and equity are standard for senior roles at this level in large tech organizations. The benefits are typical for a major tech employer like Google, offering robust health, financial, and work-life support.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, Software Development, Cloud Computing, Artificial Intelligence

Company Size: Google is a massive global technology company with over 180,000 employees (as of early 2024), operating in a highly competitive and innovative market. This scale means access to vast resources, cutting-edge research, and opportunities for broad impact.

Founded: 1998. Google's history is marked by a commitment to innovation, user-centricity, and solving complex problems at scale. The company culture emphasizes data-driven decision-making, rapid iteration, and a passion for technology.

Team Structure:

• The UX team is a multi-disciplinary group consisting of Interaction Designers, UX Researchers, Visual Designers, and UX Writers.

• This specific role is within the Workspace Enterprise UX team, which collaborates closely with Product Management, Engineering, Identity, Security, and AI/ML specialists (including Google DeepMind).

• The team likely operates with a relatively flat hierarchy, encouraging open communication and collaboration across disciplines and reporting lines. Methodology:

• User-Centered Design: A core tenet at Google, ensuring user needs and behaviors are central to the design process.

• Data-Driven Insights: Utilizing user research, A/B testing, and analytics to inform design decisions and measure impact.

• Iterative Design: Employing agile methodologies to rapidly prototype, test, and refine designs based on feedback and performance metrics.

• Cross-Functional Collaboration: Working closely with engineering and product management to ensure feasibility, alignment, and timely delivery of features.

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

📝 Enhancement Note: Google's culture is known for its emphasis on innovation, data-driven decisions, and empowering employees. For a Senior UX Designer, this translates to an environment where creativity is encouraged, but design decisions must be backed by research and data. The scale of Google also means that designs can impact billions of users, a significant responsibility and opportunity. The specific team's focus on enterprise and AI governance suggests a more structured and security-conscious approach within the broader Google innovation ethos.

📈 Career & Growth Analysis

Operations Career Level: Senior UX Designer. This level signifies a high degree of autonomy, expertise, and leadership potential. A Senior UX Designer is expected to lead complex design initiatives, mentor junior designers, and significantly influence product strategy and user experience. The role involves handling ambiguity, tackling challenging problems, and driving innovation.

Reporting Structure: The Senior UX Designer will likely report to a UX Manager or Director within the Workspace UX organization. They will work closely with Product Managers and Engineering Leads on specific projects, forming a core project team.

Operations Impact: The work of this Senior UX Designer will directly impact the usability, security, and compliance of Google Workspace for enterprise administrators globally. By designing effective AI governance tools, they will enable businesses to adopt AI technologies confidently, ensuring data security and regulatory adherence, thereby fostering trust and driving business growth for Google Workspace customers. This role bridges cutting-edge AI capabilities with the critical operational needs of large organizations.

Growth Opportunities:

• Technical Specialization: Deepen expertise in AI governance, enterprise security design, IAM, and generative AI.

• Leadership Development: Transition into a Lead UX Designer role, managing larger projects or a small team, or pursue Principal UX Designer tracks for individual contribution expertise.

• Cross-Functional Mobility: Explore opportunities within other Google product areas or teams, leveraging transferable UX design skills.

• Mentorship: Guide and mentor junior designers, contributing to the growth of the UX community within Google.

• Industry Influence: Contribute to the discourse on AI ethics, trust, and responsible design through internal and external channels.

📝 Enhancement Note: This role offers substantial growth potential. The seniority implies a path towards design leadership or deep specialization in a highly critical and emerging field (AI Governance). The opportunity to influence Google's strategy in AI adoption for enterprises is a significant career differentiator.

🌐 Work Environment

Office Type: On-site. Google typically offers dynamic, collaborative office environments designed to foster innovation and employee well-being.

Office Location(s): Sunnyvale, California (part of the Silicon Valley tech hub) and Seattle, Washington (a major tech center). Both locations provide access to a vibrant tech ecosystem and talent pool.

Workspace Context:

• Collaborative Spaces: Offices are equipped with various meeting rooms, huddle spaces, and open areas designed for team collaboration, brainstorming, and design reviews.

• Tools & Technology: Access to cutting-edge hardware, software (including industry-standard design tools like Figma), and internal Google systems necessary for design and prototyping.

• Team Interaction: Frequent opportunities for informal and formal interaction with designers, product managers, engineers, and researchers, fostering a culture of knowledge sharing and collective problem-solving.

• Amenities: Google offices are known for their extensive amenities, including cafes, fitness centers, and recreational areas, designed to support employee well-being and productivity.

Work Schedule: While the standard work week is 40 hours, Google often promotes a flexible work environment where employees can manage their schedules to optimize productivity, especially for on-site roles that require collaboration. However, for an on-site role, regular office presence is expected.

📝 Enhancement Note: The on-site requirement at Google's major campuses suggests an environment that prioritizes in-person collaboration and access to company resources. The emphasis on "Workspace" and enterprise solutions implies a professional setting geared towards developing robust, scalable, and secure products.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Recruiter screens for basic qualifications and role fit.

• Portfolio Review: A dedicated session where candidates present their portfolio, showcasing relevant projects, design process, and problem-solving skills. Expect to discuss your contributions, design decisions, and the impact of your work, particularly in complex enterprise or technical domains.

• Design Challenge/Case Study: Candidates may be given a design problem to solve or asked to deconstruct a case study. This assesses problem-solving abilities, design thinking, and communication skills under pressure. Focus on articulating your thought process, user-centered approach, and how you'd address AI governance challenges.

• On-site (or Virtual Equivalent) Interviews: Multiple interviews with team members, managers, and cross-functional partners (Product Managers, Engineers). These will cover design skills, technical understanding, collaboration, leadership, and cultural fit. Be prepared to discuss your experience with AI, enterprise systems, security, and how you handle ambiguity.

• Hiring Committee Review: The hiring committee reviews all feedback and makes a final decision.

Portfolio Review Tips:

• Curate Strategically: Select 3-4 projects that best showcase your experience with complex enterprise systems, B2B applications, AI concepts, and/or security/governance. Highlight your role and specific contributions.

• Tell a Story: For each project, clearly articulate the problem, your design process, key decisions, challenges faced, and the ultimate impact or outcomes. Use data and metrics where possible to demonstrate success.

• Focus on AI Governance: If possible, include a project that touches on AI, data privacy, security, or compliance. If not, be prepared to discuss how your existing experience is transferable to these domains.

• Demonstrate Process: Show your wireframes, user flows, prototypes, and research insights. Explain why you made certain design choices.

• Be Ready for Deep Dives: Prepare to discuss your work in detail, including technical constraints, collaboration with engineers, and how you navigated trade-offs.

Challenge Preparation:

• Understand AI Governance: Research current trends, challenges, and best practices in AI governance, trust, attribution, and compliance. Familiarize yourself with concepts like RBAC, DLP, and managing non-human identities.

• Google Workspace Context: Understand the role of IT administrators and their pain points in managing large-scale enterprise software deployments. Consider how AI integration adds complexity.

• Structure Your Approach: Practice articulating your design process: problem definition, research, ideation, prototyping, testing, and iteration.

• Think Scalability & Security: For any design challenge, consider how your solutions would scale and maintain security and compliance in an enterprise environment.

📝 Enhancement Note: The interview process is rigorous and designed to assess a wide range of skills. A strong portfolio is non-negotiable, and candidates must be able to articulate their design process and impact, especially in the context of complex enterprise solutions and the emerging field of AI governance.

🛠 Tools & Technology Stack

Primary Tools:

• Figma: Explicitly mentioned as a required industry-standard design tool for creating user interfaces, user flows, and prototypes. Proficiency is essential.

• Prototyping Tools: Beyond Figma's capabilities, experience with other advanced prototyping tools may be beneficial for demonstrating complex interactions.

Analytics & Reporting:

• Data Analysis Tools: While not explicitly mentioned for designers, understanding how to interpret data from analytics platforms (e.g., Google Analytics, internal tools) is crucial for informing design decisions and measuring impact.

• Dashboarding Software: Familiarity with creating or interpreting dashboards, especially those used by administrators, would be advantageous.

CRM & Automation:

• Enterprise Software Concepts: While not a direct tool requirement for UX designers, understanding the principles behind CRM systems, automation workflows, and Identity and Access Management (IAM) systems is critical given the role's focus.

• Internal Google Systems: Experience with or adaptability to Google's internal design and collaboration tools will be expected.

📝 Enhancement Note: The primary tool requirement is Figma. However, for a senior role in enterprise and AI governance, a broader understanding of the technology stack that designers interact with – including analytics, IAM concepts, and potentially data visualization tools – is highly beneficial.

👥 Team Culture & Values

Operations Values:

• User Focus: A fundamental principle at Google, ensuring that user needs and experiences are at the forefront of all design and product decisions.

• Data-Driven: Decisions are informed by research, analytics, and user feedback, rather than solely by intuition.

• Innovation & Excellence: Striving for groundbreaking solutions and maintaining the highest standards of design quality and technical execution.

• Collaboration & Openness: Fostering an environment where ideas are shared freely, feedback is constructive, and cross-functional teams work cohesively.

• Trust & Responsibility: Particularly relevant for AI governance, emphasizing ethical design, security, privacy, and building user trust in AI systems.

Collaboration Style:

• Cross-Functional Integration: Designers work hand-in-hand with Product Managers and Engineers from the initial concept phase through launch and iteration.

• Design Critiques: Regular design review sessions where team members provide constructive feedback to elevate the quality of work.

• Knowledge Sharing: Active participation in design guilds, internal forums, and documentation to share best practices, learnings, and insights across teams.

• Iterative Partnership: A continuous feedback loop with stakeholders to refine designs based on technical feasibility, business goals, and user insights.

📝 Enhancement Note: The values emphasize a blend of user advocacy, rigorous analysis, and collaborative innovation, all within a framework of responsibility for sensitive technologies like AI. The collaboration style is deeply integrated, reflecting Google's approach to product development.

⚡ Challenges & Growth Opportunities

Challenges:

• Designing for Ambiguity: Navigating the rapidly evolving landscape of AI and its governance, where best practices are still being established.

• Balancing Complexity and Simplicity: Creating intuitive interfaces for highly complex administrative tasks, security policies, and AI controls without oversimplifying critical functions.

• Building Trust in AI: Designing systems that clearly communicate AI capabilities, limitations, and data usage to foster administrator and end-user trust.

• Cross-Functional Alignment: Ensuring consensus and effective collaboration among diverse teams with varying priorities (e.g., Engineering, Security, AI research, Product Management).

• Technical Constraints: Designing within the technical limitations and architectural frameworks of enterprise software and AI models.

Learning & Development Opportunities:

• AI Governance Expertise: Becoming a recognized expert in designing for AI ethics, trust, security, and compliance in enterprise settings.

• Leadership in Emerging Fields: Opportunity to shape the future of AI interaction design and governance best practices.

• Advanced Design Skills: Deepening expertise in complex system design, information architecture, and interaction patterns for technical users.

• Industry Conferences & Publications: Potential to represent Google at industry events or contribute to publications on AI design and governance.

• Mentorship & Training: Access to Google's extensive internal learning resources and mentorship programs.

📝 Enhancement Note: The challenges are significant, stemming from the cutting edge of AI and enterprise security. However, these challenges also present immense opportunities for growth and impact, positioning the designer at the forefront of a critical technological shift.

💡 Interview Preparation

Strategy Questions:

• "How would you approach designing an interface for administrators to set granular access controls for AI agents operating within an organization's data?" (Focus on RBAC, clarity, attribution).

• "Describe a time you had to design for a complex, data-intensive enterprise application. What were the key challenges and how did you overcome them?" (Highlight B2B/enterprise experience, problem-solving).

• "Given the rapid evolution of generative AI, how would you design a system for progressive disclosure that educates administrators about AI capabilities and risks without overwhelming them?" (Test understanding of AI concepts, user education, progressive disclosure).

• "How do you ensure user trust and clear attribution when designing AI-driven features within enterprise software?" (Focus on AI governance, transparency, user confidence). Company & Culture Questions:

• "Why Google Workspace, and why this role focusing on AI Governance?" (Demonstrate understanding of Google's mission, Workspace's importance, and the significance of AI governance).

• "How do you collaborate with engineers and product managers on complex projects?" (Showcase cross-functional collaboration skills and experience).

• "Describe a situation where you had to advocate for a design decision that faced resistance. How did you handle it?" (Assess communication, persuasion, and resilience).

• "How do you stay current with advancements in AI and UX design?" (Highlight continuous learning and passion for the field). Portfolio Presentation Strategy:

• Start with the "Why": Clearly articulate the business problem or user need your project addressed.

• Walk Through Your Process: Detail your research, ideation, wireframing, prototyping, and testing phases. Explain the rationale behind key decisions.

• Highlight Your Contribution: Be specific about what you did, especially in team projects. Quantify impact where possible (e.g., "reduced task completion time by X%", "improved user satisfaction by Y%").

• Focus on Relevant Projects: Prioritize projects that demonstrate experience with complex systems, enterprise users, security, or AI/emerging tech.

• Be Prepared for Deep Dives: Anticipate questions about trade-offs, technical constraints, user feedback, and alternative solutions.

📝 Enhancement Note: Interview preparation should heavily focus on demonstrating a deep understanding of enterprise UX, AI governance principles, and the ability to translate complex technical requirements into user-centric designs. Candidates must be ready to articulate their process and impact with concrete examples.

📌 Application Steps

To apply for this Senior UX Designer position at Google:

• Submit your application through the Google Careers portal, ensuring your resume includes a direct link to your portfolio or work samples.

• Tailor your resume: Highlight experience with enterprise software, B2B applications, complex systems, and any exposure to AI, security, or compliance design. Use keywords from the job description.

• Curate your portfolio: Select projects that best demonstrate your ability to design for complex administrative interfaces, user flows for technical users, and ideally, any work related to AI, security, or governance.

• Prepare your portfolio presentation: Practice walking through 2-3 key projects, clearly articulating the problem, your process, your specific contributions, and the outcomes. Be ready to discuss your rationale for design decisions.

• Research Google Workspace and AI Governance: Understand the product suite and the current landscape of AI governance challenges. Consider how Google's approach to AI ethics and user trust might influence design decisions.

• Anticipate technical and behavioral questions: Prepare examples for common interview questions focusing on design process, problem-solving, collaboration, and leadership, especially in the context of enterprise and AI.

⚠️ 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.