UX Designer, Cloud Professional Services

Google
Full-timeโ€ข$129k-185kundefined (USD)โ€ขChicago, Illinois, United States
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๐Ÿ“ Job Overview

Job Title: UX Designer, Cloud Professional Services

Company: Google

Location: Chicago, IL

Job Type: Full-time

Category: UX/Interaction Design

Date Posted: 2025-06-11

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

Remote Status: On-site

๐ŸŽจ Role Summary

  • Designing intuitive and user-friendly experiences for Google Cloud customers within the Professional Services team.
  • Translating complex technical requirements and business needs into clear, effective, and elegant design solutions for enterprise clients.
  • Focusing on user-centered design methods to craft industry-leading user experiences across the full application design lifecycle for Google Cloud services.
  • Applying expertise in interaction design, rapid prototyping, and enterprise product design, with a focus on generative AI and machine learning applications.
๐Ÿ“ Enhancement Note: Based on the job title and company context (Google Cloud Professional Services), this role involves working directly with external enterprise customers. This requires strong communication, collaboration, and the ability to tailor design solutions to specific client needs and complex technical environments. The emphasis on generative AI and machine learning indicates involvement in cutting-edge cloud technologies.

๐Ÿ–ผ๏ธ Primary Responsibilities

  • Collaborate closely with product managers, developers, and cross-functional stakeholders to deeply understand project requirements and deliver creative, thoughtful design solutions that address complex user and business problems within the Google Cloud ecosystem.
  • Effectively communicate the user experience vision and design rationale throughout various stages of the design process, utilizing a range of artifacts including wireframes, flow diagrams, storyboards, interactive mockups, and high-fidelity prototypes.
  • Integrate user feedback, usability testing insights, and evolving business requirements into ongoing product experience updates and design iterations, ensuring a continuous cycle of improvement for Google Cloud services.
  • Actively advocate for the prioritization of design-centered changes, refinements, and improvements based on user needs, usability data, and strategic product goals, influencing the product roadmap and development priorities.
  • Work directly with Google Cloud customers on the full application design lifecycle, understanding their specific challenges and designing tailored solutions that leverage the power of Google Cloud's cutting-edge technologies.
๐Ÿ“ Enhancement Note: The responsibilities highlight the collaborative and communicative nature of the role, essential for a Professional Services context. The emphasis on managing user feedback and advocating for design prioritization indicates a proactive role in shaping the product experience, moving beyond just execution to strategic influence.

๐ŸŽ“ Skills & Qualifications

Education: Bachelor's degree in Design, Human-Computer Interaction, Computer Science, a related field, or equivalent practical experience. A Master's degree is preferred.

Experience: Minimum of 4 years of interaction design experience in product design or UX design. This includes 3 years with rapid prototyping, 2 years in enterprise product design, and 2 years with generative AI and machine learning applications. Portfolio demonstrating relevant work is required.

Required Skills:

  • Proficiency in Interaction Design principles and best practices for creating intuitive and effective user interfaces.
  • Extensive experience in Product Design and the end-to-end design process, from research to implementation.
  • Proven ability in UX Design methodologies, including user research, ideation, prototyping, and user testing.
  • Strong skills in Rapid Prototyping to quickly iterate on design concepts and gather feedback.
  • Solid background in Enterprise Product Design, understanding the unique challenges and requirements of B2B software and cloud platforms.
  • Experience designing applications or features related to Generative AI and Machine Learning technologies.
  • Ability to effectively communicate design decisions and rationale to technical and non-technical stakeholders.

Preferred Skills:

  • Experience working effectively within a Cross-Functional Organization, collaborating with diverse teams like engineering, product management, and sales.
  • Experience leading Design Projects, including planning, execution, and delivery of design initiatives.
  • Strong understanding of Google's design language and patterns.
  • Experience with service design principles in a cloud context.
๐Ÿ“ Enhancement Note: The specific experience requirements (e.g., 2 years in enterprise product design, 2 years in generative AI/ML) are highly detailed and crucial. This suggests a focus on candidates with direct, relevant experience in these specialized areas within a B2B cloud environment. The preference for leadership experience indicates potential for growth within the team.

๐ŸŽจ Portfolio & Creative Requirements

Portfolio Essentials:

  • Your portfolio should showcase a diverse range of Interaction Design projects, demonstrating your ability to solve complex user problems through elegant and functional design solutions.
  • Include detailed Case Studies that walk through your design process from problem definition and research through ideation, prototyping, testing, and final implementation. Highlight your role and contributions clearly.
  • Present high-fidelity mockups and visual designs that reflect strong aesthetic sense and attention to detail, showcasing your ability to translate concepts into polished user interfaces.
  • Where applicable, include examples demonstrating your experience with designing for enterprise applications, cloud platforms, and applications leveraging Generative AI or Machine Learning.

Process Documentation:

  • Clearly document your approach to the research and discovery phase, including how you gathered user insights, analyzed requirements, and defined the problem space for your projects.
  • Illustrate your ideation and iteration methods, showing how you explored multiple design directions, sketched concepts, created wireframes, and refined designs based on feedback and testing.
  • Detail your validation and testing approaches, explaining how you conducted usability testing, gathered user feedback, and used data to inform design decisions and measure the impact of your designs.
๐Ÿ“ Enhancement Note: Given the focus on enterprise and AI/ML within Google Cloud Professional Services, portfolios for this role should specifically highlight projects in these areas. Demonstrating a robust design process, particularly around complex technical domains and stakeholder collaboration, will be critical. Case studies should emphasize problem-solving for sophisticated user needs.

๐Ÿ’ต Compensation & Benefits

Salary Range: The US base salary range for this full-time position is $129,000 - $185,000 per year. This range is determined by role, level, and location. Individual pay is based on work location and factors like job-related skills, experience, and education. This range does not include bonus, equity, or benefits.

Benefits:

  • Competitive Bonus structure based on individual and company performance.
  • Equity compensation, providing ownership in the company and long-term incentives.
  • Comprehensive Benefits package including health, dental, vision insurance, retirement plans, and other employee programs. More details can be found on the Google careers benefits page.

Working Hours: This is a full-time position, typically requiring approximately 40 hours per week. Flexibility may be required based on project needs and global team collaboration.

๐Ÿ“ Enhancement Note: The provided salary range is specific to the US and is clearly stated. For candidates outside the US, it's important to research comparable salary ranges in their specific location, adjusted for cost of living and local market rates for a similar role at a large tech company like Google. The inclusion of bonus and equity is standard for Google and significantly enhances the overall compensation package.

๐ŸŽฏTeam & Company Context

๐Ÿข Company & Design Culture

Industry: Software Development, specifically within the Cloud Computing sector. Google Cloud is a leader in enterprise-grade solutions leveraging cutting-edge technology like AI and Machine Learning.

Company Size: Over 310,000 employees globally, indicating a large, matrixed organization with significant resources and diverse teams. This implies opportunities for collaboration with a wide range of experts.

Founded: Google was founded in 1998. With over two decades of history, Google has a well-established design culture that emphasizes user focus, innovation, and data-driven decision-making.

Team Structure:

  • The UX team at Google is multi-disciplinary, including UX Designers, Researchers, Writers, Content Strategists, Program Managers, and Engineers. This role is part of the Google Cloud Professional Services UX team.
  • Collaboration is emphasized, working closely with product management and engineering teams.
  • The specific reporting structure within the Professional Services team will involve reporting to a design manager or lead focused on client-facing projects.

Methodology:

  • Google's design methodology is rooted in User-Centered Design, focusing deeply on understanding user needs and behaviors.
  • Emphasis on rapid prototyping and iteration to test and refine design solutions.
  • Collaboration across disciplines is key to the design process, integrating insights from research, engineering, and product.

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

๐Ÿ“ Enhancement Note: Understanding Google's established user-centered design philosophy and its multi-disciplinary team structure is vital for applicants. The context of Google Cloud Professional Services means the design work is client-facing and likely involves adapting Google's design language to specific enterprise needs and technical constraints.

๐Ÿ“ˆ Career & Growth Analysis

Design Career Level: This role appears to be at a Mid-Senior level (L4 or L5 equivalent at Google), requiring significant experience and the ability to work independently on complex design problems within the enterprise cloud domain. Responsibilities include collaborating with senior stakeholders and potentially leading design initiatives.

Reporting Structure: The role likely reports to a UX Design Manager within the Google Cloud Professional Services organization. Collaboration will be extensive with product managers, engineers, and client teams.

Design Impact: As part of Professional Services, the design work directly impacts the success of Google Cloud customer implementations and their adoption of advanced technologies like AI/ML. The designs will shape how enterprise users interact with custom cloud solutions, influencing business outcomes for Google's clients.

Growth Opportunities:

  • Advance within the UX design track towards a Senior UX Designer or Lead UX Designer role, taking on more complex projects and mentoring junior designers.
  • Specialize further in designing for specific cloud domains, AI/ML applications, or enterprise solutions within Google Cloud.
  • Move into a Design Management role, leading a team of UX designers focused on Professional Services projects.
  • Explore opportunities in related fields like UX Research, Content Strategy, or Program Management within Google's large UX organization.
๐Ÿ“ Enhancement Note: The experience requirements and responsibilities suggest a role with significant autonomy and impact. The potential for growth into leadership or specialization within the rapidly evolving cloud and AI space is a key attraction for ambitious design professionals. Highlighting experience leading design projects is a preferred qualification, indicating a path towards leadership.

๐ŸŒ Work Environment

Studio Type: This is an on-site position based in Google's Chicago office. Google offices are known for their vibrant, collaborative, and well-equipped workspaces designed to foster creativity and innovation.

Office Location(s): The primary location is Chicago, IL. Google has multiple offices globally, but this role is specifically tied to the Chicago site.

Design Workspace Context:

  • Access to dedicated design tools and resources, including collaboration spaces, whiteboarding areas, and technology for prototyping and user testing.
  • Opportunity for direct, in-person collaboration with design peers, researchers, engineers, and product managers.
  • Participation in design critiques, workshops, and team activities that benefit from a shared physical space.

Work Schedule: Standard full-time work schedule, typically during business hours. The on-site nature allows for structured team interaction and access to office resources.

๐Ÿ“ Enhancement Note: The on-site requirement suggests a strong emphasis on in-person collaboration, which is often beneficial for design teams working on complex, cross-functional projects, especially within a client-facing context in Professional Services. Candidates should be prepared for a collaborative office environment.

๐Ÿ“„ Application & Portfolio Review Process

Design Interview Process:

  • Initial screening call with a recruiter to discuss background and fit. Prepare to articulate your experience and interest in the role and Google Cloud.
  • Portfolio Review session where you present selected case studies to a design panel, focusing on your process, problem-solving, and impact, particularly on enterprise and AI/ML projects.
  • Design Challenge or Whiteboarding session to assess your real-time problem-solving skills and design thinking approach under timed conditions. Be prepared to articulate your rationale and consider different constraints.
  • Multiple interviews covering behavioral questions, technical skills, collaboration style, and specific experience relevant to interaction design, enterprise products, and AI/ML.
  • Potential interviews with cross-functional partners (e.g., Product Manager, Engineer) and hiring manager to assess collaboration and team fit.

Portfolio Review Tips:

  • Select 2-3 strong case studies that best demonstrate your experience in enterprise design, complex problem-solving, and ideally, work involving AI/ML.
  • Structure your case studies using a clear narrative: Problem, Role, Process (Research, Ideation, Prototyping, Testing), Solution, Impact, and Lessons Learned.
  • Emphasize your design process and rationale, not just the final visuals. Explain why you made certain design decisions.
  • Be prepared to discuss the technical constraints, stakeholder feedback, and iterative nature of your projects, especially in an enterprise context.

Challenge Preparation:

  • Practice whiteboarding or sketching design solutions for hypothetical problems, articulating your thought process as you go.
  • Familiarize yourself with common enterprise use cases and cloud platform concepts, even if the challenge is abstract.
  • Focus on the core user needs and business goals while exploring potential solutions. Be ready to discuss trade-offs.

ATS Keywords: Interaction Design, UX Design, Product Design, Enterprise Design, Rapid Prototyping, Generative AI, Machine Learning, User-Centered Design, Wireframing, Prototyping, Usability Testing, User Research, Design Systems, Collaboration, Cross-functional, Stakeholder Management, Design Thinking, Information Architecture, UI Design, Adobe Creative Suite, Figma, Sketch, InVision, Zeplin, Miro, User Flows, Storyboarding, Mockups, Accessibility, Cloud Computing, Professional Services.

๐Ÿ“ Enhancement Note: The interview process at Google is known to be rigorous and multi-faceted. Candidates should prepare thoroughly for both portfolio presentations and potential design challenges. Tailoring your portfolio and interview answers to highlight relevant experience in enterprise cloud, AI/ML, and cross-functional collaboration will be key.

๐Ÿ›  Tools & Technology Stack

Primary Design Tools:

  • Likely proficiency in industry-standard design and prototyping tools such as Figma, Sketch, Adobe XD, or similar. Experience with tools that facilitate collaboration and design system management is essential.
  • Experience with tools for creating detailed wireframes, user flows, and interactive prototypes to communicate design concepts effectively.
  • Familiarity with tools for visual design and creating high-fidelity mockups.

Collaboration & Handoff:

  • Experience using collaboration tools like Miro or Mural for brainstorming and workshops with cross-functional teams and clients.
  • Proficiency with handoff tools like Zeplin or InVision Inspect to provide detailed design specifications to developers.
  • Familiarity with documentation tools for maintaining design systems, style guides, and component libraries.

Research & Testing:

  • Experience with tools used for user research, such as survey platforms, interview recording tools, or qualitative data analysis software.
  • Familiarity with tools for conducting usability testing and gathering user feedback on prototypes and live products.
  • Basic understanding of analytics platforms to measure design performance and inform decisions.
๐Ÿ“ Enhancement Note: While specific tools aren't explicitly listed beyond the general requirements, Google typically utilizes a range of industry-leading design and collaboration tools. Demonstrating flexibility and the ability to quickly adapt to new software is likely more important than expertise in one specific tool, although proficiency in common platforms like Figma or Sketch is expected.

๐Ÿ‘ฅ Team Culture & Values

Design Values:

  • Deep focus on the user, prioritizing their needs and behaviors in all design decisions, aligning with Google's core philosophy.
  • Emphasis on creating intuitive and easy-to-use experiences, transforming complex technical concepts into accessible interfaces, especially crucial in the enterprise cloud space.
  • Value placed on collaboration, working closely with engineering, product management, and other disciplines to deliver integrated solutions.
  • Encouragement of innovation and bringing "inspired, refined, and even magical" experiences to users, even within the context of professional services.

Collaboration Style:

  • Highly collaborative environment with close interaction between designers, researchers, product managers, and engineers.
  • Emphasis on regular design critiques and feedback sessions to iterate and improve design solutions.
  • Cross-functional collaboration is essential, working with various teams within Google and directly with external clients in Professional Services.
๐Ÿ“ Enhancement Note: Google's design culture is strongly rooted in user-centricity and collaboration. For this role in Professional Services, the ability to effectively collaborate with external clients, understand their unique business needs, and adapt design solutions while upholding Google's design standards will be critical.

โšก Challenges & Growth Opportunities

Design Challenges:

  • Designing for complex enterprise-level problems with diverse user needs and intricate workflows within the Google Cloud ecosystem.
  • Working with cutting-edge and rapidly evolving technologies like Generative AI and Machine Learning, requiring continuous learning and adaptation.
  • Balancing the needs and requirements of multiple stakeholders, including internal teams at Google and external enterprise clients with specific business goals and technical constraints.
  • Translating highly technical concepts into understandable and usable interfaces for a wide range of enterprise users.

Learning & Development Opportunities:

  • Opportunities to work on cutting-edge cloud technologies and applications of AI/ML in the enterprise space, gaining expertise in these high-demand areas.
  • Exposure to a wide range of enterprise customer use cases and industries, broadening your understanding of complex business challenges.
  • Collaborate with and learn from experienced designers, engineers, and product leaders within Google.
  • Access to Google's internal training resources and potential support for external conferences or workshops related to design, cloud, or AI/ML.
๐Ÿ“ Enhancement Note: The challenges in this role stem from the complexity of enterprise cloud environments and the rapidly evolving nature of AI/ML. This offers significant growth opportunities for designers looking to specialize in these areas and work on high-impact projects for major clients.

๐Ÿ’ก Interview Preparation

Design Process Questions:

  • Be prepared to discuss your end-to-end design process for a complex project, focusing on how you approached research, ideation, prototyping, and testing, especially for enterprise or technical products.
  • Explain how you gather and incorporate user feedback and data into your design decisions.
  • Describe a time you faced a significant design challenge and how you overcame it, highlighting your problem-solving skills and iterative approach.

Company Culture Questions:

  • Research Google's design principles and values ("Focus on the user...") and be ready to discuss how they align with your own design philosophy and past work.
  • Prepare examples of how you have successfully collaborated with cross-functional teams (product managers, engineers, etc.) and managed stakeholder expectations, particularly in complex project environments.
  • Discuss your experience working in a fast-paced, innovative environment and your comfort level with ambiguity and rapidly evolving technology.

Portfolio Presentation Strategy:

  • Limit your presentation to 2-3 most impactful projects, focusing on those relevant to enterprise, cloud, or AI/ML if possible.
  • Clearly articulate the problem you were solving, your role on the project, and your specific contributions.
  • Spend most of your time detailing your design process, showing your research, ideation, iterations, and how you arrived at the final solution.
  • Be prepared to answer detailed questions about your design decisions, technical constraints, and how you measured the success of your designs.
๐Ÿ“ Enhancement Note: Success in the interview process will depend on demonstrating a strong understanding of the enterprise design space, experience with complex technical domains (especially AI/ML), and excellent collaboration and communication skills. Tailoring your portfolio and answers to the specific context of Google Cloud Professional Services is crucial.

๐Ÿ“Œ Application Steps

To apply for this design position:

  • Submit your application through this link, ensuring your resume includes a link to your online portfolio.
  • Customize your design portfolio to highlight projects that demonstrate your experience in enterprise product design, rapid prototyping, and ideally, work involving generative AI or machine learning.
  • Optimize your resume to include relevant design keywords listed in the ATS Keywords section, ensuring it clearly articulates your experience and qualifications for the role.
  • Prepare thoroughly for the interview process by practicing portfolio presentations, reviewing design challenge approaches, and researching Google's design culture and cloud offerings.
  • Research the Google Cloud Professional Services team to understand their role within Google and the types of projects they undertake for enterprise clients.
โš ๏ธ Important Notice: This enhanced job description includes AI-generated insights and design industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.