Senior UX Designer, AI transformation

📍 Job Overview

Job Title: Senior UX Designer, AI Transformation

Company: Google

Location: New York, NY, United States

Job Type: Full-time

Category: User Experience (UX) Design / Product Design

Date Posted: 2026-03-31T15:49:22.284

Experience Level: 6+ years

Remote Status: On-site

🚀 Role Summary

• Drive the architectural definition and strategic evolution of Google's emerging AI marketing ecosystem through in-depth user and business process analysis.

• Champion a user-centered design perspective by collaborating closely with UX, product, engineering, and marketing subject matter experts to influence strategic direction and product decisions.

• Define and implement AI-driven solutions to automate, simplify, and expedite manual operations and marketing workflows, significantly enhancing marketer velocity and campaign impact.

• Synthesize complex, often conflicting, data and insights into actionable artifacts such as service blueprints and journey maps to facilitate organizational change and drive strategic initiatives.

📝 Enhancement Note: This role is positioned at a senior level, indicated by the 6+ years of experience requirement and the focus on strategic architectural definition within the AI marketing ecosystem. The emphasis on "AI transformation" and "enterprise space" suggests a significant scope of influence, requiring not only strong UX design skills but also strategic thinking and the ability to navigate complex organizational and technical challenges. The role appears to bridge traditional UX design with elements of service design, information architecture, and business process optimization, specifically within Google's internal operations.

📈 Primary Responsibilities

• Define the architecture of the emerging AI marketing ecosystem by uncovering and mapping business processes through user/stakeholder interviews, journey mapping, stakeholder/tool mapping, and facilitating co-creation workshops.

• Act as a trusted partner and collaborator with UX, product, engineering, and marketing subject matter experts to bring a powerful user-centered perspective and drive strategic direction and product decisions.

• Define how AI can automate, simplify, and expedite manual operations and marketing journeys, improving efficiency and effectiveness.

• Synthesize complex, conflicting data into actionable artifacts like service blueprints and journey maps that drive organizational change and inform product strategy.

• Leverage user insights and design thinking methodologies to craft industry-leading user experiences from concept to execution for internal Google marketers.

• Evolve the Google design language and internal tooling to build beautiful, innovative, and user-friendly AI-powered products and services for Googlers.

• Interrogate data and identify key performance indicators (KPIs) to inform design decisions and measure the impact of AI transformations on marketing velocity and campaign effectiveness.

• Drive the refinement of UX processes and shape the ecosystem experiences that internal marketers use daily, accelerating Google's internal AI transformation.

📝 Enhancement Note: The responsibilities clearly indicate a strategic, end-to-end design role focused on Google's internal "Corp Eng" (Corporate Engineering) organization, which supports Google's internal operations. The emphasis on "Corp Eng" and "Google for Googlers" signifies a B2E (Business-to-Employee) focus, requiring an understanding of internal enterprise workflows and employee productivity. The role demands a blend of user research, service design, information architecture, and strategic product thinking to implement AI solutions that enhance operational efficiency for marketers.

🎓 Skills & Qualifications

Education:

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

Experience:

• Minimum of 6 years of interaction design experience in product design or UX design.

• Experience solving organizational and technical challenges in the enterprise space with empathy and clarity.

• Proven experience building and shipping AI tools or comparable products in complex enterprise domains.

Required Skills:

• Interaction Design: Deep expertise in creating intuitive and efficient user interfaces and user flows.

• User-Centered Design (UCD): Strong foundation in applying UCD principles to product development.

• Portfolio: A comprehensive portfolio showcasing relevant UX design work, ideally with enterprise case studies. A viewable link or clear access instructions must be provided.

• Product Design: Ability to translate complex requirements into user-friendly product experiences.

• Collaboration: Proven ability to work effectively with cross-functional teams including Product Management, Engineering, and Marketing.

• Data Analysis: Proficiency in synthesizing complex data to inform design decisions and measure impact.

Preferred Skills:

• AI Tools & Products: Experience in designing and shipping AI-powered tools or products.

• Enterprise Solutions: Understanding of challenges and best practices for enterprise software design.

• UX Strategy: Ability to define high-level product vision and strategic direction.

• Journey Mapping & Service Design: Expertise in mapping user journeys and designing service blueprints to optimize workflows.

• Stakeholder Engagement: Skill in interviewing stakeholders, mapping tools, and facilitating co-creation workshops.

• Business Process Mapping: Ability to uncover and document complex business processes.

• Prototyping & Wireframing: Proficiency in creating wireframes, mockups, and interactive prototypes.

• Empathy and Clarity: Ability to understand and address complex organizational and technical challenges with user empathy.

📝 Enhancement Note: The emphasis on "enterprise space" and "building and shipping AI tools" in preferred qualifications suggests that candidates with experience in B2B or internal enterprise product development, particularly those involving AI or complex workflow automation, will be highly competitive. The portfolio requirement specifically calls for "enterprise case studies with integrating workflows across disparate groups, processes, or technologies," highlighting the need for experience in complex, multi-faceted environments.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Enterprise Case Studies: Showcase projects that demonstrate experience in complex enterprise environments, highlighting the challenges, design process, and solutions implemented.

• Workflow Integration: Provide examples of how you've integrated disparate groups, processes, or technologies within a single workflow or system.

• AI Product Design: Include case studies of designing AI tools or products, detailing the user needs addressed and the AI's role in the solution.

• Process Optimization: Demonstrate how your design work has led to tangible improvements in operational efficiency, velocity, or automation.

• Artifact Examples: Include examples of artifacts created, such as journey maps, service blueprints, user flows, wireframes, and high-fidelity mockups.

Process Documentation:

• Ability to define and document complex business processes, user journeys, and service blueprints.

• Experience in mapping stakeholder and tool landscapes to understand current operational states.

• Skill in synthesizing research findings and data into clear, actionable documentation that drives organizational change.

• Documentation should clearly articulate the user-centered approach and the proposed solutions for process automation and simplification.

📝 Enhancement Note: The specific request for "enterprise case studies with integrating workflows across disparate groups, processes, or technologies" is a critical differentiator. Candidates should prepare portfolio pieces that clearly demonstrate their ability to tackle complexity, connect different systems, and streamline operations within a large organization. This goes beyond typical consumer UX and requires an understanding of enterprise-level business operations.

💵 Compensation & Benefits

Salary Range: $159,000 - $231,000 USD per year (Base Salary)

Benefits:

• Bonus: Performance-based bonus opportunities are provided.

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

• Health Insurance: Comprehensive health insurance plans are available.

• Retirement Plan: 401k plan with potential company match.

• Other Benefits: Access to Google's extensive benefits package, which may include paid time off, parental leave, professional development opportunities, and wellness programs.

Working Hours:

• Full-time position, typically based on a 40-hour work week.

• While the role is on-site, Google often offers flexibility within the standard work week to accommodate project needs and personal well-being.

📝 Enhancement Note: The provided salary range is for the US base salary only and does not include performance bonuses, equity, or other benefits. This range is competitive for a Senior UX Designer role in New York City, reflecting the experience level and the strategic nature of the position within a major tech company like Google. The mention of "bonus + equity + benefits" indicates a comprehensive total compensation package.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (Software & Internet Services)

Company Size: Large Enterprise (Google is a global technology giant with hundreds of thousands of employees).

Founded: 1998. Google has a long history of innovation, user-centricity, and data-driven decision-making, fostering a culture of continuous improvement and technological advancement.

Team Structure:

• Multidisciplinary UX Team: The Senior UX Designer will join a UX team composed of various specialists, likely including UX researchers, interaction designers, visual designers, and UX writers.

• Cross-Functional Collaboration: Close collaboration with Product Management, Engineering, and Marketing teams is fundamental to the role, particularly within the Corp Eng organization.

• Reporting Structure: This role is likely to report to a UX Lead, Design Manager, or Director within the Corp Eng UX organization.

Methodology:

• User-Centered Design (UCD): Google's core philosophy, "Focus on the user and all else will follow," is deeply embedded in its design processes.

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

• Agile Development: Likely follows agile or lean methodologies for product development, emphasizing iterative design and rapid prototyping.

• Design Systems & Language: Commitment to evolving and maintaining a consistent design language and robust design systems across products.

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

📝 Enhancement Note: Google's culture is renowned for its emphasis on innovation, data-driven decision-making, and a strong commitment to user experience. Within Corp Eng, the focus is on building scalable, efficient, and user-friendly internal tools and platforms that empower Googlers. This means the UX team operates with a high degree of autonomy and influence, but also with a strong accountability for the operational impact of their designs.

📈 Career & Growth Analysis

Operations Career Level: Senior Individual Contributor (IC) focused on specialized design strategy and execution within an operational context. This level signifies significant autonomy, leadership in design thinking, and the ability to influence product direction.

Reporting Structure: The role reports into a design leadership structure within Google's Corporate Engineering (Corp Eng) organization. This structure likely emphasizes collaboration and support for complex, enterprise-scale design challenges.

Operations Impact: This role has a direct impact on the operational efficiency and effectiveness of Google's internal marketing teams. By defining and implementing AI-driven solutions, the designer will streamline workflows, reduce manual effort, and enhance the impact of marketing campaigns, contributing directly to Google's internal productivity and business objectives.

Growth Opportunities:

• Leadership in AI Design: Opportunity to become a recognized expert and leader in designing AI-powered enterprise solutions within Google.

• Strategic Influence: Potential to influence the strategic direction of Google's internal AI transformation and marketing technology stack.

• Skill Specialization: Deepen expertise in service design, information architecture, and enterprise UX within a challenging AI context.

• Mentorship: Opportunity to mentor junior designers and contribute to the growth of the UX practice within Corp Eng.

• Cross-Functional Exposure: Gain extensive experience working with diverse teams across Product, Engineering, and Marketing, broadening understanding of business operations.

📝 Enhancement Note: As a Senior UX Designer at Google, the growth path typically involves moving towards Staff, Principal, or even Distinguished Designer levels, focusing on increasingly complex problems and broader strategic impact. Alternatively, individuals may transition into management roles, leading design teams. The AI transformation aspect of this role offers a unique opportunity to specialize in a cutting-edge field with significant future career potential.

🌐 Work Environment

Office Type: On-site in a Google office. Google offices are known for their modern design, collaborative spaces, and amenities that foster productivity and employee well-being.

Office Location(s): New York, NY. This location offers a vibrant urban environment with access to diverse talent and professional networks.

Workspace Context:

• Collaborative Hubs: The workspace will likely feature open-plan areas, meeting rooms, and dedicated project spaces designed to facilitate teamwork and spontaneous collaboration among UX, Product, and Engineering teams.

• Technology-Rich Environment: Access to state-of-the-art design tools, hardware, and internal Google platforms to support the design and development process.

• Cross-Functional Interaction: Opportunities to regularly interact with colleagues from various disciplines, including product managers, engineers, researchers, and marketing specialists, fostering a dynamic and informed design process.

Work Schedule:

• The role is full-time, with standard working hours expected to be around 40 hours per week.

• While the position is on-site, Google often promotes a culture of flexibility, allowing employees to manage their schedules effectively to meet project deadlines and personal needs, while ensuring consistent presence and collaboration within the team.

📝 Enhancement Note: The on-site requirement in New York City means candidates should be prepared for a dynamic urban work environment. Google's office spaces are designed to be highly collaborative and resource-rich, supporting the intensive design and problem-solving required for this role. The emphasis on collaboration suggests that in-person interaction is valued for complex problem-solving and strategic alignment.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter will review your application, focusing on minimum qualifications and portfolio link.

• Phone/Video Interview: A hiring manager or senior designer may conduct an initial interview to assess experience, skills, and cultural fit.

• On-site/Virtual Interviews (Loop): A series of interviews with various team members (UX Designers, Researchers, Product Managers, Engineers). This typically includes:

  • Portfolio Review: A core part of the process where you present 1-2 detailed case studies showcasing your problem-solving approach, design process, and impact.
  • Design Exercise/Challenge: A hypothetical scenario or problem to solve, often involving process mapping, service design, or AI-driven solutions.
  • Behavioral Questions: Assessing collaboration, leadership, problem-solving, and how you handle ambiguity.
  • Technical/Domain Questions: Discussing your experience with AI, enterprise solutions, and complex systems.

• Hiring Committee Review: Interview feedback is compiled and reviewed by a hiring committee for a final decision.

Portfolio Review Tips:

• Focus on Enterprise & AI: Prioritize case studies that align with the job description's emphasis on enterprise solutions, workflow integration, and AI.

• Show, Don't Just Tell: Clearly articulate the problem, your role, the design process, the decisions you made, and the measurable impact of your work. Use visuals (wireframes, mockups, journey maps) effectively.

• Process Over Polish: Demonstrate your thought process, how you navigated challenges, and how you synthesized complex information. Google values a strong, repeatable design process.

• Quantify Impact: Whenever possible, use data and metrics to demonstrate the success of your projects, especially in terms of efficiency gains or user satisfaction.

• Tailor Your Presentation: Understand Google's design philosophy and tailor your narrative to showcase alignment with user-centricity and data-driven innovation.

Challenge Preparation:

• Process Mapping: Practice mapping complex business processes and identifying areas for automation or improvement.

• Service Design Thinking: Be ready to discuss and potentially create service blueprints for internal operational workflows.

• AI Use Cases: Think about how AI can be applied to solve common enterprise challenges in marketing and operations.

• Stakeholder Management: Prepare examples of how you've managed conflicting stakeholder needs and driven consensus.

📝 Enhancement Note: The portfolio review is critical. Candidates should prepare 1-2 deeply detailed case studies that specifically address the "enterprise case studies with integrating workflows across disparate groups, processes, or technologies" requirement. Demonstrating an understanding of how to simplify and optimize complex internal operations through design, especially leveraging AI, will be key.

🛠 Tools & Technology Stack

Primary Tools:

• Design & Prototyping: Figma, Sketch, Adobe Creative Suite (Illustrator, Photoshop), InVision, Axure RP.

• User Research & Analysis: User testing platforms (e.g., UserTesting.com), survey tools (e.g., Google Forms, SurveyMonkey), analytics platforms.

• Collaboration & Documentation: Google Workspace (Docs, Sheets, Slides, Meet, Jamboard), Confluence, Jira.

Analytics & Reporting:

• Data Visualization: Tableau, Looker (Google's own BI platform), Google Data Studio.

• Web Analytics: Google Analytics.

• Internal Metrics: Proficiency in understanding and utilizing internal Google metrics related to user engagement, task completion, and operational efficiency.

CRM & Automation:

• While the role is internal, an understanding of CRM principles and workflow automation tools is beneficial. Experience with enterprise resource planning (ERP) systems or similar internal operational platforms could be advantageous.

• Familiarity with AI/ML platforms and their integration into user-facing products.

📝 Enhancement Note: While specific tools may vary, proficiency in industry-standard UX design and prototyping tools like Figma is essential. Given the "AI transformation" aspect, familiarity with how AI models and data pipelines integrate into user experiences, and the ability to work with internal analytics and data platforms like Google's own suite (Looker, Google Analytics), will be highly valued.

👥 Team Culture & Values

Operations Values:

• User Focus: A deep commitment to understanding and serving the needs of internal users (Googlers) to enhance their productivity and experience.

• Data-Driven Decisions: Reliance on data, research, and analytics to inform design choices and measure the impact of initiatives.

• Collaboration & Teamwork: Fostering an environment where cross-functional teams work together seamlessly to achieve common goals.

• Innovation & Experimentation: Encouraging creative problem-solving, embracing new technologies (like AI), and being open to iterative experimentation.

• Efficiency & Scalability: Designing solutions that are not only effective but also scalable and contribute to operational efficiency across Google.

Collaboration Style:

• Partnership: Working as an integrated partner with Product Management and Engineering, sharing ownership of product outcomes.

• Open Communication: Valuing transparent and constructive feedback exchange within the team and with stakeholders.

• Knowledge Sharing: Actively participating in design critiques, sharing best practices, and mentoring junior colleagues.

• Iterative Improvement: Embracing a culture of continuous refinement based on user feedback and performance data.

📝 Enhancement Note: Google's culture emphasizes psychological safety, allowing for open discourse and constructive debate. For this role, expect a highly collaborative environment where design challenges are tackled collectively, and diverse perspectives are valued to ensure the best possible solutions for internal users. The "AI transformation" aspect suggests an appetite for adopting and integrating new technologies.

⚡ Challenges & Growth Opportunities

Challenges:

• Complexity of Enterprise Systems: Navigating and integrating with complex, often legacy, internal systems and processes within a large organization.

• Ambiguity in AI Transformation: Defining clear user needs and product strategies for emerging AI technologies where the landscape is constantly evolving.

• Balancing Multiple Stakeholders: Managing diverse needs and priorities from various business units (UX, Product, Engineering, Marketing) within Corp Eng.

• Driving Organizational Change: Synthesizing complex findings into actionable artifacts that can drive significant organizational change and adoption of new AI tools.

• Measuring Impact: Quantifying the precise impact of design interventions, especially AI-driven ones, on operational efficiency and business outcomes.

Learning & Development Opportunities:

• AI Design Specialization: Deepen expertise in designing for AI, including understanding AI capabilities, limitations, and ethical considerations in enterprise contexts.

• Service Design Mastery: Hone skills in service blueprinting, journey mapping, and complex system design within a leading tech company.

• Cross-Functional Expertise: Gain in-depth knowledge of marketing operations, IT infrastructure, and product development lifecycles at Google.

• Leadership Development: Opportunities to lead design initiatives, mentor junior designers, and contribute to UX strategy.

• Industry Trends: Stay at the forefront of UX, AI, and enterprise technology trends through internal resources, conferences, and continuous learning.

📝 Enhancement Note: The primary challenge will be translating the potential of AI into tangible, user-friendly solutions that address specific operational pain points for Google's marketers. Success will require not only strong design skills but also strategic thinking, excellent communication, and the ability to influence change within a large, complex organization.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex enterprise workflow you've analyzed and redesigned. What was your process, what tools did you use for mapping, and what was the outcome?"

• "How would you approach defining the user experience for an AI tool aimed at automating manual marketing tasks? What are the key considerations?"

• "Imagine you have conflicting requirements from Product, Engineering, and Marketing for a new AI feature. How would you facilitate a decision and move forward?"

Company & Culture Questions:

• "Why Google, and specifically why the Corp Eng UX team?"

• "How do you embody Google's 'Focus on the user' philosophy in your work, especially in an enterprise context?"

• "Describe a time you had to adapt to significant ambiguity or change in a project. How did you handle it?"

Portfolio Presentation Strategy:

• Structure: For each case study, clearly present: Problem background, Your Role & Responsibilities, Design Process (Research, Ideation, Design, Testing), Key Decisions & Rationale, Solutions (Visuals: Wireframes, Mockups, Prototypes), Impact & Outcomes (Quantifiable if possible), and Lessons Learned.

• Narrative: Tell a compelling story about the user problem and how your design thinking and execution led to a successful solution. Emphasize your strategic contribution, not just the execution of tasks.

• Focus on Enterprise & AI: Ensure these case studies highlight experience relevant to enterprise workflows, complex integrations, and AI applications where possible.

• Interactive Elements: Be prepared to discuss your artifacts in detail and answer probing questions about your design choices and the impact of your work.

📝 Enhancement Note: Candidates should prepare to discuss their experience with AI in a practical, applied sense, not just theoretically. The interview will likely probe how they translate AI capabilities into user value within an operational context. Demonstrating an understanding of Google's scale and internal operations will be advantageous.

📌 Application Steps

To apply for this Senior UX Designer position:

• Submit your application through the Google Careers portal, ensuring your resume includes a viewable link to your portfolio.

• Portfolio Customization: Select 1-2 enterprise-focused case studies that best showcase your experience with workflow integration, process optimization, and ideally, AI-driven solutions. Tailor your presentation to highlight skills relevant to Google's internal operations and "Corp Eng" context.

• Resume Optimization: Ensure your resume clearly articulates your 6+ years of experience in UX/Product Design, highlighting achievements in enterprise environments, AI product work, and cross-functional collaboration. Use keywords from the job description.

• Interview Preparation: Practice articulating your design process, decision-making rationale, and the impact of your work. Prepare specific examples for behavioral questions related to collaboration, problem-solving, and handling ambiguity.

• Company Research: Familiarize yourself with Google's design principles, its approach to AI, and the mission of Corporate Engineering. Understand how internal tools contribute to Google's overall success.

⚠️ 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.

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