Senior UX Researcher, GP Studio

Google
Full-timeβ€’Mountain View, United States

πŸ“ Job Overview

Job Title: Senior UX Researcher, GP Studio

Company: Google

Location: Mountain View, California, United States; San Francisco, California, United States; New York, New York, United States

Job Type: Full-Time

Category: User Experience Research

Date Posted: 2026-06-03T13:09:34.468

Experience Level: 5-10 Years

Remote Status: On-site

πŸš€ Role Summary

  • Spearhead user experience research initiatives within Google's Global Partnerships (GP) Studio, focusing on internal AI and automation tools.

  • Lead the development and execution of comprehensive research plans to deeply understand user needs, pain points, and critical user journeys for internal stakeholders.

  • Drive product strategy and development by translating complex partnership workflows and user behaviors into actionable product requirements for engineering and product management teams.

  • Champion the integration of AI-driven solutions to enhance decision quality and operational efficiency across various Global Partnerships functions, from pipeline management to cross-functional collaboration.

  • Contribute to the evolution of industry-leading internal tools by leveraging a diverse toolkit of qualitative and quantitative research methodologies.

πŸ“ Enhancement Note: This role is positioned as a Senior UX Researcher, implying a need for leadership in research strategy, execution, and cross-functional influence. The focus on "GP Studio" and "Global Partnerships" suggests a specialized internal facing role within Google, distinct from external consumer product research. The mention of "AI and automation tools" and "Human-AI interaction" highlights a critical and emerging area of expertise.

πŸ“ˆ Primary Responsibilities

  • Develop and execute a strategic, prioritized research plan aligned with GP Studio's mission and Google's broader business objectives.

  • Conduct foundational and evaluative research studies to uncover the core pain points and unmet needs of internal GP Googlers across various functions, including pipeline management and cross-functional collaboration.

  • Identify and validate specific opportunities where AI and automation technologies can significantly improve decision-making quality and execution efficiency within the GP Studio toolset.

  • Collaborate closely with Product Managers (PMs) and Engineering teams to translate complex Global Partnerships workflows and research insights into clear, actionable product requirements.

  • Create high-quality research artifacts, such as user journey maps, personas, and detailed reports, that effectively communicate user motivations, constraints, and opportunities across diverse Global Partnerships user segments.

  • Design and conduct various research studies, including but not limited to, usability testing, contextual inquiries, 1:1 interviews, diary studies, ethnography, surveys, and logs analysis.

  • Advocate for the user by presenting research findings and recommendations to stakeholders at various levels, including executive leadership, to inform product strategy and roadmap decisions.

  • Contribute to the growth and development of Google's internal UXR community through knowledge sharing, mentorship, and participation in regular meetups and internal tool development.

πŸ“ Enhancement Note: The responsibilities emphasize both strategic planning and hands-on execution of research. The focus on internal tools and AI integration indicates a need for understanding complex enterprise ecosystems and the unique challenges of human-AI interaction within a business context.

πŸŽ“ Skills & Qualifications

Education:

  • Bachelor's degree in a relevant field (e.g., Computer Science, Human-Computer Interaction, Cognitive Science, Psychology, Anthropology) or equivalent practical experience.

Experience:

  • Minimum of 6 years of experience in an applied research setting, such as product research or academic research, with a strong focus on user experience.

  • Preferred: 5 years of experience conducting UX research on complex products, with a demonstrated ability to influence product direction and work effectively with executive leadership (Director level and above).

Required Skills:

  • Proven experience with a variety of research methods, including usability studies, contextual inquiries, 1:1 interviews, and unmoderated research studies.

  • Expertise in both qualitative and quantitative user research methodologies, user experience measurement, and defining critical user journeys.

  • Experience conducting research within complex enterprise or internal tool ecosystems, understanding the unique constraints and user needs of such environments.

  • Familiarity with logs analysis for extracting user behavior insights.

  • Strong analytical and problem-solving skills, with the ability to synthesize complex data into clear, actionable insights.

Preferred Skills:

  • Deep understanding of the unique challenges and considerations of AI UX, including user mental models of automation, transparency in AI systems, and effective user-AI feedback loops.

  • Demonstrated experience in stakeholder management and business communication, including creating and delivering impactful presentations to business executives.

  • Experience with field studies, diary studies, and ethnographic research for deep contextual understanding.

  • Ability to manage multiple research projects simultaneously, prioritize effectively, and meet deadlines in a fast-paced environment.

  • Familiarity with the internal workings of Google's Global Partnerships organization and its workflows is a plus.

πŸ“ Enhancement Note: The distinction between minimum and preferred qualifications highlights a career progression path. The preferred skills, particularly in AI UX and executive communication, point towards the seniority and strategic impact expected of this role.

πŸ“Š Process & Systems Portfolio Requirements

Portfolio Essentials:

  • Showcase a minimum of 3-5 significant UX research projects that demonstrate a strong understanding of research methodologies, from planning to execution and impact.

  • Clearly articulate the research problem, the methods used, the challenges encountered, and the key insights derived for each project.

  • Provide tangible evidence of how your research directly influenced product decisions, feature development, or strategic direction, ideally with measurable outcomes.

  • Include examples of research artifacts such as user journey maps, personas, research reports, and presentation decks that highlight your communication and synthesis skills.

Process Documentation:

  • Detail your approach to developing and executing research plans, including how you prioritize studies based on business goals and user needs.

  • Illustrate your process for translating raw research data into synthesized insights and actionable recommendations that drive product improvements.

  • Showcase your methods for collaborating with Product Managers and Engineers throughout the product development lifecycle, from discovery to validation.

  • Provide examples of how you have documented and communicated research findings to various stakeholders, ensuring clarity and impact.

πŸ“ Enhancement Note: For a Senior UX Researcher role, especially within a large tech company like Google, a robust portfolio is critical. It needs to go beyond just showcasing research activities to demonstrating strategic thinking, impact, and the ability to influence product roadmaps, particularly in the context of complex internal systems and emerging technologies like AI.

πŸ’΅ Compensation & Benefits

Salary Range:

  • Based on industry benchmarks for Senior UX Researchers in major US tech hubs (Mountain View, San Francisco, New York) with 6-10 years of experience at a company like Google, the estimated annual base salary range is approximately $160,000 - $220,000 USD.

  • This estimate accounts for the high cost of living in these locations and Google's competitive compensation structure for experienced technical roles.

Benefits:

  • Comprehensive health insurance (medical, dental, vision) with extensive coverage options.

  • Generous paid time off (PTO), including vacation, sick leave, and holidays.

  • 401(k) retirement savings plan with company matching contributions.

  • Employee stock purchase plan (ESPP) for purchasing Google stock at a discounted rate.

  • Parental leave policies and family-friendly benefits.

  • Wellness programs, including fitness reimbursements and mental health support.

  • On-site amenities (depending on office location) such as cafeterias, fitness centers, and transportation support.

Working Hours:

  • Standard full-time position, typically around 40 hours per week.

  • While specific hours may vary based on project needs and team collaboration, Google generally offers flexibility in scheduling, allowing for work-life balance.

  • Occasional evening or weekend work may be required during critical project phases, but this is typically managed and compensated through flexible arrangements.

πŸ“ Enhancement Note: Salary ranges are estimated based on publicly available compensation data for Senior UX Researchers at Google and similar large tech companies in the specified locations. Benefits information is based on typical offerings for major tech corporations.

🎯 Team & Company Context

🏒 Company Culture

Industry: Technology (Internet Services and Software)

Company Size: Large (Over 10,000 employees)

Founded: 1998

Company Description: Google is a global technology leader focused on organizing the world's information and making it universally accessible and useful. It operates through various segments, including Search, Ads, Cloud, Hardware, and other Bets, driving innovation across artificial intelligence, quantum computing, and more.

Company Specialties: Search Engine, Online Advertising, Cloud Computing, Software, Hardware, Artificial Intelligence, Machine Learning, Data Analytics, Mobile Operating Systems.

Team Structure:

  • GP Studio: This is a specialized internal team focused on developing AI and automation tools for Global Partnerships. It's likely a cross-functional unit comprising UX researchers, Product Managers, Engineers, and potentially Data Scientists.

  • Reporting Structure: As a Senior UX Researcher, you would likely report to a UX Research Manager or Lead within GP Studio or a broader UX organization at Google. You would collaborate closely with PMs and Engineering leads who manage their respective domains.

  • Cross-functional Collaboration: This role inherently requires deep collaboration with Product Management and Engineering to translate user needs into product requirements and ensure effective implementation of research findings. You will also interact with various stakeholders within the Global Partnerships organization to understand their workflows and pain points.

Methodology:

  • Data Analysis and Insights: Emphasis on rigorous qualitative and quantitative data analysis to uncover user behaviors, motivations, and pain points. Insights are synthesized to inform product strategy and design decisions.

  • Workflow Planning and Optimization: A core aspect of this role is mapping existing complex workflows within Global Partnerships and identifying opportunities for streamlining or disruption through AI and automation.

  • Automation and Efficiency Practices: The GP Studio team is dedicated to building tools that enhance efficiency. Research will directly support the identification and validation of automation opportunities that remove friction from high-stakes business development processes.

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

πŸ“ Enhancement Note: Google's culture is known for its data-driven approach, emphasis on user focus, and promoting innovation. For an internal tool team like GP Studio, the culture likely blends this with a strong understanding of enterprise needs and the specific challenges of building tools for internal users, often within complex, mission-critical business functions.

πŸ“ˆ Career & Growth Analysis

Operations Career Level: Senior Individual Contributor (IC)

This role represents a significant step in a UX Research career. A Senior UX Researcher is expected to operate with a high degree of autonomy, lead complex research initiatives, mentor junior researchers, and significantly influence product strategy. The focus on internal enterprise tools and AI integration positions this role at the forefront of applied UX research within Google's business operations.

Reporting Structure:

You will report to a UX Research Manager or Lead, who oversees the research function for GP Studio or a related product area. You will work closely with Product Managers and Engineering Leads who are responsible for the product roadmap and development execution. This structure emphasizes collaborative leadership and shared ownership of product success.

Operations Impact:

The impact of this role is directly tied to improving the efficiency and effectiveness of Google's Global Partnerships organization. By identifying opportunities for AI and automation to streamline complex workflows and enhance decision-making, this researcher will contribute to:

  • Increased deal velocity and success rates for partnerships.

  • Reduced operational friction and manual effort for GP Googlers.

  • Improved data quality and strategic insights for partnership management.

  • Enhanced user adoption and satisfaction with critical internal tools.

Growth Opportunities:

  • Operations Skill Advancement: Deepen expertise in AI UX research, human-AI interaction, and research within enterprise environments. Opportunity to lead research for cutting-edge AI tools.

  • Leadership Development: Potential to mentor junior researchers, lead research strategy for larger initiatives, and become a subject matter expert in GBO's operational tools.

  • Career Progression: A clear path exists towards Staff UX Researcher, Principal UX Researcher, or potentially moving into UX Research management roles within Google. Opportunities to contribute to cross-team research initiatives or explore adjacent research domains within Google.

  • Industry Influence: By working on novel AI applications for business operations, you will gain experience at the cutting edge of the field, potentially leading to contributions in industry publications or conferences.

πŸ“ Enhancement Note: The growth trajectory for a Senior UX Researcher at Google is well-defined, emphasizing both technical depth in research and strategic influence within product development and business operations. The focus on AI and internal tools offers unique specialization opportunities.

🌐 Work Environment

Office Type: Primarily On-site with potential for hybrid flexibility within Google's established policies.

This role is designated as on-site, meaning the expectation is to work from one of Google's main offices in Mountain View, San Francisco, or New York. Google offices are designed to foster collaboration and innovation, offering a dynamic and resource-rich environment.

Office Location(s):

  • Mountain View, CA: Googleplex headquarters, a sprawling campus with extensive amenities.

  • San Francisco, CA: Multiple offices in the heart of the city, offering vibrant urban access.

  • New York, NY: Offices located in prominent areas of Manhattan, providing access to a major business and cultural hub.

Workspace Context:

  • Collaborative Environment: Google offices feature open workspaces, meeting rooms, and collaborative zones designed to encourage spontaneous interactions and team synergy. This is crucial for a role requiring close partnership with PMs and Engineers.

  • Operations Tools and Technology: Access to Google's world-class internal infrastructure, including powerful computing resources, advanced research tools, and proprietary software for data analysis, visualization, and collaboration.

  • Team Interaction: Regular team meetings, design sprints, and informal discussions are integral to the workflow, facilitating knowledge sharing and problem-solving within the GP Studio team and with broader UX and engineering groups.

Work Schedule:

  • The standard work schedule is full-time, typically 40 hours per week.

  • Google generally supports flexible work arrangements where feasible, allowing individuals to manage their schedules to optimize productivity and work-life balance, provided project deadlines and team collaboration needs are met.

πŸ“ Enhancement Note: Google's office environments are renowned for their amenities and focus on fostering a productive and collaborative workspace. The on-site requirement underscores the importance of in-person interaction for this role, particularly in a complex internal tooling environment.

πŸ“„ Application & Portfolio Review Process

Interview Process:

  1. Recruiter Screen: Initial conversation to assess basic qualifications, role fit, and interest.

  2. Hiring Manager Interview: Deeper dive into your experience, research philosophy, and how you align with the GP Studio team's needs.

  3. Portfolio Review / UX Research Skills Interview: A dedicated session where you present your work. This is a critical stage to showcase your research process, impact, and ability to articulate findings. Expect to discuss your methodology, decision-making, and how you've driven product outcomes.

  4. Cross-functional Interviews: Interviews with Product Managers and Engineers from the GP Studio team. These focus on your ability to collaborate, translate research into requirements, and understand complex technical/business challenges.

  5. Research & Analytical Skills Interview: May involve a theoretical problem-solving exercise or discussion of how you would approach specific research challenges related to AI and internal tools.

  6. Final Interview / "Googliness" Interview: Assesses cultural fit, leadership potential, and how you embody Google's values and ways of working.

Portfolio Review Tips:

  • Focus on Impact: For each project, clearly articulate the business problem, your research approach, key insights, and, most importantly, the impact your research had on the product or business. Quantify impact where possible (e.g., "led to a 15% increase in user task completion," "informed a product pivot that improved user satisfaction scores").

  • Showcase Your Process: Detail your methodology, including why you chose specific methods, how you recruited participants, and how you synthesized data. For this role, emphasize your experience with enterprise users, internal tools, and ideally, AI.

  • Tell a Story: Structure your presentation like a narrative. What was the challenge? How did you tackle it? What did you learn? What was the outcome?

  • Tailor to the Role: Highlight projects that demonstrate experience with complex systems, internal stakeholders, or AI/automation. If you have experience with pipeline management or cross-functional collaboration workflows, showcase that.

  • Prepare for Questions: Be ready to discuss your decision-making process, how you handle ambiguity, how you collaborate with PMs/Eng, and how you would approach research for GP Studio's specific challenges.

Challenge Preparation:

  • Research Strategy: Be prepared to outline how you would approach researching a new internal AI tool. Consider user segmentation, key questions, and appropriate methodologies.

  • AI UX Scenarios: Think about common challenges in AI UX, such as transparency, user trust, handling errors, and user feedback loops. How would you research these?

  • Stakeholder Management: Practice articulating research findings and recommendations concisely and persuasively, particularly for executive audiences.

πŸ“ Enhancement Note: Google's interview process is notoriously thorough. For a Senior UX Researcher role, the portfolio review is paramount. Candidates must demonstrate not just research skill but also strategic thinking, business acumen, and the ability to drive measurable impact within a complex organization.

πŸ›  Tools & Technology Stack

Primary Tools:

  • Research Platforms: Google's internal suite of research tools for participant recruitment, survey deployment, usability testing (e.g., UserTesting.com integration, proprietary tools), and data analysis.

  • Collaboration Suites: Google Workspace (Docs, Sheets, Slides, Meet, Chat) will be your primary daily tools for communication, documentation, and presentation.

  • Prototyping & Design Tools: Familiarity with tools like Figma, Sketch, or Adobe XD is beneficial for understanding design artifacts and potentially providing feedback, though direct design is not the primary responsibility.

Analytics & Reporting:

  • Data Analysis Software: Proficiency in statistical software (e.g., R, SPSS) and data visualization tools (e.g., Tableau, Looker) for quantitative analysis.

  • Qualitative Analysis Tools: Experience with tools for coding qualitative data (e.g., NVivo, Dovetail) or advanced spreadsheet/database techniques for managing and synthesizing qualitative findings.

  • Internal Analytics Platforms: Understanding of how to leverage internal Google analytics platforms to complement qualitative research and understand user behavior metrics.

CRM & Automation:

  • While not directly managing CRMs, understanding how internal tools like CRMs and automation platforms connect with user workflows is crucial. Familiarity with how data flows through such systems will inform research on process optimization.

  • AI/ML Platforms: Exposure to or understanding of the principles behind AI/ML platforms and how they are integrated into user-facing tools.

πŸ“ Enhancement Note: Google leverages its own extensive suite of internal tools, which are highly sophisticated. While specific proprietary names aren't always public, candidates should demonstrate adaptability and a strong foundation in general research and data analysis tools, with an emphasis on how these tools support enterprise-level research and AI product development.

πŸ‘₯ Team Culture & Values

Operations Values:

  • Focus on the User: This is Google's foundational principle. For GP Studio, it means deeply understanding the needs and workflows of internal GP Googlers to build tools that genuinely help them.

  • Data-Driven Decision Making: Research insights, user feedback, and performance metrics are paramount in informing product strategy and design choices.

  • Innovation and Ambition: Encouraging bold ideas and tackling complex problems, such as integrating AI into high-stakes business processes, is key.

  • Collaboration and Teamwork: Success is achieved through strong partnerships across UX, Product Management, Engineering, and Global Partnerships stakeholders.

  • Efficiency and Impact: A drive to create tools that not only work but also significantly improve efficiency and drive measurable business outcomes.

Collaboration Style:

  • Cross-functional Integration: A highly integrated approach where UX Researchers work hand-in-hand with PMs and Engineers from the outset of product conception through launch and iteration.

  • Process Review Culture: Openness to feedback, iterative design, and continuous improvement of research processes and product development methodologies.

  • Knowledge Sharing: A culture that encourages sharing learnings, best practices, and insights across teams and the broader UXR community within Google. Experimentation with new research methods and technologies is encouraged.

πŸ“ Enhancement Note: Google's culture emphasizes both individual initiative and collective success. For this role, demonstrating an ability to integrate seamlessly into cross-functional teams and contribute to a data-informed, user-centric product development process is vital. The specific context of internal tools means understanding the unique "user" is an internal employee with specific business objectives.

⚑ Challenges & Growth Opportunities

Challenges:

  • Understanding Complex Enterprise Workflows: Navigating and comprehending the intricate, often high-stakes workflows of Global Partnerships requires significant effort and deep engagement with users.

  • Bridging Human and AI Interaction: Researching and designing for effective human-AI collaboration in a business context presents unique challenges related to trust, transparency, explainability, and error handling.

  • Influencing Executive Stakeholders: Effectively communicating research insights and advocating for user needs to senior leadership to gain buy-in for product direction.

  • Balancing Foundational and Evaluative Research: Strategically planning research to address both long-term user needs and immediate product improvements within a dynamic development cycle.

  • Adoption of New Tools: Ensuring that newly developed AI and automation tools are effectively adopted by internal users, requiring research into change management and user onboarding.

Learning & Development Opportunities:

  • Operations Skill Advancement: Gain specialized expertise in AI UX research, complex enterprise system research, and human-AI interaction principles.

  • Industry Conference and Certification Participation: Opportunities to attend leading UX research and AI conferences, and pursue relevant certifications.

  • Mentorship and Leadership Development: Access to mentorship programs within Google's UXR community and opportunities to develop leadership skills by guiding research projects and mentoring junior team members.

  • Exposure to Cutting-Edge Technology: Work directly with Google's latest advancements in AI and automation, contributing to the future of internal business tools.

πŸ“ Enhancement Note: The challenges are inherent to working on complex internal tools at a company like Google, especially in the emerging field of AI. The growth opportunities are substantial, offering deep specialization and a clear path for career advancement.

πŸ’‘ Interview Preparation

Strategy Questions:

  • "Describe a time you had to research and define requirements for a complex internal tool or enterprise system. What was your process, and what was the outcome?" (Focus on your methodology, stakeholder engagement, and impact.)

  • "How would you approach researching the potential for AI to improve decision-making in a sales or business development pipeline?" (Demonstrate your understanding of AI UX principles and how to apply research to identify opportunities.)

Company & Culture Questions:

  • "What excites you about working on internal tools at Google, specifically for Global Partnerships?" (Showcase your understanding of the role's context and your motivation.)

  • "How do you approach collaborating with Product Managers and Engineers who may have different priorities or perspectives?" (Emphasize your communication, negotiation, and cross-functional partnership skills.)

Portfolio Presentation Strategy:

  • Structure for Impact: Begin with the business problem or user need, clearly state your research objectives, detail your methods, present key findings with supporting evidence, and conclude with actionable recommendations and demonstrated impact.

  • Highlight AI/Enterprise Experience: If you have relevant projects, ensure they are prominently featured and tailor your discussion to emphasize your understanding of AI UX, internal system complexities, and enterprise user challenges.

  • Quantify Outcomes: Wherever possible, use metrics to demonstrate the impact of your research (e.g., improvements in efficiency, user satisfaction, task completion rates).

  • Be Prepared for Deep Dives: Anticipate questions about your methodology, decision-making process, and how you would handle specific challenges related to the GP Studio role.

πŸ“ Enhancement Note: Preparation should focus on showcasing strategic thinking, the ability to navigate complex organizational structures, and a deep understanding of how research drives tangible business outcomes, particularly within the context of internal tools and AI.

πŸ“Œ Application Steps

To apply for this Senior UX Researcher position:

  • Submit your application through the official Google Careers portal via the provided URL.

  • Curate Your Portfolio: Select 3-5 of your most impactful UX research projects. Prioritize those that demonstrate experience with complex systems, internal users, AI/automation, and significant business impact. Prepare detailed case studies for each.

  • Optimize Your Resume: Tailor your resume to highlight keywords and responsibilities mentioned in the job description, such as "UX research," "AI UX," "enterprise systems," "stakeholder management," "qualitative/quantitative research," and specific methodologies. Quantify your achievements whenever possible.

  • Prepare Your Presentation: Practice delivering your portfolio presentations, focusing on clear storytelling, concise articulation of impact, and readiness to answer in-depth questions about your process and decision-making. Rehearse your answers to common UX research and behavioral interview questions.

  • Research Google & GP Studio: Understand Google's mission, its approach to AI, and the specific goals of the Global Partnerships organization and GP Studio. Familiarize yourself with Google's UX principles and values to articulate your cultural fit.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.


Application Requirements

Requires a Bachelor's degree and at least 6 years of experience in applied research, specifically with qualitative and quantitative UX methods. Preferred candidates hold a postgraduate degree and have experience with AI UX and executive-level stakeholder management.