Senior UX Researcher, Ecosystem Growth

📍 Job Overview

Job Title: Senior UX Researcher, Ecosystem Growth

Company: Google

Location: Kirkland, WA; New York, NY; Seattle, WA; Sunnyvale, CA

Job Type: Full-Time

Category: User Experience Research / Product Growth Operations

Date Posted: 2026-08-13T20:08:23.121

Experience Level: 5-10 Years

Remote Status: On-site

🚀 Role Summary

• Drive user-centric product development and growth strategies within Google's expansive ecosystem, focusing on user needs and product adoption.

• Conduct comprehensive qualitative and quantitative user research to inform product roadmaps, identify high-value opportunities, and bridge the 'trust gap' in AI-driven experiences.

• Collaborate closely with cross-functional teams including Engineering, Product Management, and other operations specialists to translate research insights into actionable product improvements.

• Influence stakeholders at executive levels to champion user-centric solutions and ensure research findings are integrated into strategic decision-making for product and service enhancements.

• Own and manage research project priorities, resource allocation, and the overall vision and strategy discussions through rigorous data analysis and synthesis.

📝 Enhancement Note: This role is categorized under User Experience Research with a strong emphasis on Product Growth Operations, given the focus on driving engagement, adoption, and identifying new opportunities within Google's ecosystem. The 'Ecosystem Growth' aspect implies a strategic role in understanding how different Google products interact and how to foster deeper user engagement across them, requiring a blend of user research expertise and a strategic, operations-minded approach to growth.

📈 Primary Responsibilities

• Lead and execute end-to-end user research studies, including field studies, interviews, diary studies, ethnography, surveys, and usability testing, to uncover deep user behaviors and motivations.

• Analyze complex data sets, including multimodal data and logs, to identify user trends, segment audiences, and inform product strategy.

• Develop and present compelling research findings and strategic recommendations to diverse stakeholders, including executive leadership, to drive product innovation and user-centric decision-making.

• Collaborate with Product Management and Engineering teams to define research objectives, translate insights into product requirements, and influence product roadmaps for ecosystem growth initiatives.

• Drive the '0-to-1' product development process through human-centered research, identifying unmet user needs and exploring novel solutions for new product features or services.

• Bridge the 'trust gap' in AI-driven experiences by researching user perceptions, needs, and expectations around agentic autonomy and cross-app integration, ensuring AI solutions are perceived as helpful partners.

• Own vision and strategy discussions by synthesizing existing knowledge about users, products, services, and business needs to inform future development.

• Influence stakeholders across organizations to gain support for research-based, user-centric solutions, ensuring alignment with broader product and ecosystem goals.

📝 Enhancement Note: The responsibilities emphasize a strategic research leadership role, extending beyond typical UX research to influencing product strategy and driving growth. The mention of "bridging the 'trust gap' in AI-driven experiences" and "agentic autonomy" indicates a focus on cutting-edge AI product development, requiring researchers to understand complex technical concepts and translate them into user-centric outcomes. The role also involves significant stakeholder management and project ownership, typical of senior-level positions.

🎓 Skills & Qualifications

Education:

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

• Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or a related field is preferred. Experience:

• Minimum of 6 years of experience in an applied research setting (e.g., product or academic), or similar roles focused on user behavior and product development.

• 5 years of experience conducting UX research on products, with a focus on influencing product strategy and working with executive leadership (Director level and above).

• 3 years of experience managing complex projects, and working within a large, matrixed organization, demonstrating strong organizational and leadership capabilities.

• Proven experience driving '0-to-1' product development through strategic, human-centered research. Required Skills:

• Expertise in qualitative research methodologies, including user interviews, field studies, ethnography, and diary studies.

• Proficiency in quantitative research methodologies, including survey design, experimental design, and statistical analysis.

• Strong understanding and application of user experience research principles and best practices in product development cycles.

• Excellent stakeholder management and communication skills, with the ability to influence and gain buy-in from cross-functional teams and executive leadership.

• Demonstrated ability to analyze, consolidate, and synthesize complex information to inform strategic decision-making. Preferred Skills:

• Experience working with complex data sets, including multimodal data, and advanced quantitative methodologies such as logs analytics, causal inference, and user segmentation.

• Experience in driving product growth, user engagement, and onboarding strategies through research.

• Familiarity with AI-driven experiences, agentic autonomy, and cross-app integration concepts from a user perspective.

• Project management skills for overseeing research initiatives, resource allocation, and timelines in a large organizational structure.

• Experience in a large, matrixed organization, demonstrating adaptability and collaboration across diverse teams.

📝 Enhancement Note: The qualifications highlight a strong blend of deep research expertise and strategic product thinking. The emphasis on "0-to-1 product development," "ecosystem growth," and "bridging the 'trust gap' in AI" suggests the need for a researcher who can not only uncover insights but also identify novel opportunities and shape future product directions, particularly in emerging AI technologies. The preference for advanced quantitative skills and experience with complex data sets points to a role that requires robust analytical capabilities.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 3-5 distinct research projects demonstrating a comprehensive understanding of the research process from problem definition to impact assessment.

• For each project, clearly articulate the research problem, methodology employed, key findings, and the resulting product or strategic recommendations.

• Provide evidence of how your research directly influenced product decisions, led to measurable improvements in user experience, or drove growth metrics.

• Include examples of how you translated complex user insights into actionable product requirements or strategic shifts.

• Demonstrate experience with various research tools and platforms, including survey software, usability testing platforms, and data analysis tools. Process Documentation:

• Detail your approach to defining research questions and hypotheses that align with product goals and business objectives.

• Illustrate your process for selecting and applying appropriate qualitative and quantitative research methodologies to address specific research questions.

• Showcase your methods for synthesizing research data, identifying key themes, and drawing actionable insights, particularly from complex or large datasets.

• Explain your process for effectively communicating research findings and recommendations to diverse audiences, including product teams, engineers, and executive leadership.

• Document your experience in integrating research findings into product development lifecycles, from early ideation to post-launch evaluation.

📝 Enhancement Note: For a Senior UX Researcher role at Google, especially one focused on "Ecosystem Growth" and AI, a portfolio is crucial. It needs to demonstrate not just research execution but strategic thinking, influencing capabilities, and tangible impact on product direction and user experience. The emphasis should be on how research outcomes translated into product improvements, growth, or strategic shifts. Advanced quantitative analysis and experience with complex data sets should be highlighted if applicable.

💵 Compensation & Benefits

Salary Range:

• US: $159,000 - $230,000 USD per year.

• This range is competitive for a Senior UX Researcher position in major tech hubs like Kirkland, WA; New York, NY; Seattle, WA; and Sunnyvale, CA, reflecting the experience level and the company's strategic importance. Benefits:

• Target Bonus: 15% annual bonus target, tied to individual and company performance.

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

• Comprehensive Health Insurance: Medical, dental, and vision coverage for employees and eligible dependents.

• Retirement Savings Plan: 401(k) plan with company match.

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

• Parental Leave: Paid leave for new parents.

• Professional Development: Access to learning resources, training programs, conferences, and internal UXR community events.

• Wellness Programs: Support for physical and mental well-being.

• Other Perks: Commuter benefits, employee discounts, and on-site amenities at office locations.

Working Hours:

• Standard full-time hours are typically 40 hours per week.

• While on-site, there's an expectation of flexibility to accommodate project needs, cross-functional collaboration, and research timelines, particularly when working with global teams or during critical product development phases.

📝 Enhancement Note: The provided salary range is specific to the US market and reflects a senior-level position at a major tech company. The inclusion of bonus and equity is standard for such roles. The benefits list is a comprehensive overview of typical offerings at large tech firms, with a specific mention of the supportive UXR community which is a significant draw for researchers.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (Software, Internet Services, Artificial Intelligence, Cloud Computing)

Company Size: Very Large (100,000+ employees globally)

Founded: 1998

Company History: Google, now part of Alphabet Inc., has a long-standing reputation for innovation, data-driven decision-making, and a user-centric approach. The company's mission to organize the world's information and make it universally accessible and useful continues to guide its product development across a vast array of services.

Team Structure:

• Core Team: This role is within the "Core" team, which builds the technical foundation and central solutions for Google's flagship products. This implies a highly technical and foundational aspect to the work, impacting many other product teams.

• UX Research Community: You will be part of a large, supportive, and collaborative User Experience Research community within Google, offering mentorship, regular meetups, and access to exclusive internal tools and resources.

• Cross-functional Collaboration: Expect close collaboration with Product Managers, Engineers, Designers, and other operations specialists within the Core team and potentially across other product areas that leverage the Core infrastructure.

Methodology:

• Data-Driven Decision Making: Google heavily emphasizes data analysis and insights derived from user behavior, product telemetry, and research findings to inform strategy and product development.

• User-Centric Design: The core philosophy of "Focus on the user and all else will follow" permeates all product development, with UX research playing a pivotal role in understanding and advocating for user needs.

• Iterative Development: Products are developed and refined through iterative cycles, with continuous feedback loops from research, testing, and performance monitoring.

• Scalability & Infrastructure Focus: As part of the Core team, the emphasis will be on building robust, scalable, and efficient technical foundations that support Google's global services.

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

📝 Enhancement Note: Understanding that this role is within Google's "Core" team is critical. This team builds foundational technologies, meaning the Senior UX Researcher will be influencing how many other Google products are built and how users interact with core Google infrastructure. This offers a unique opportunity for broad impact but also requires a deep understanding of technical constraints and opportunities. The strong internal UXR community is a significant asset for professional development.

📈 Career & Growth Analysis

Operations Career Level: Senior UX Researcher

• This role is a senior individual contributor position within the User Experience Research discipline. It signifies a high level of expertise, autonomy, and influence.

• Responsibilities extend beyond executing research to shaping research strategy, mentoring junior researchers, and driving significant product and business impact through user insights.

• The focus on "Ecosystem Growth" and "Core" infrastructure suggests a role with substantial strategic weight, influencing how multiple Google products and services are developed and integrated. Reporting Structure:

• Typically, Senior UX Researchers report to a UX Research Manager or Lead, who oversees a team of researchers and ensures alignment with broader UX and product strategies.

• You will work closely with Product Managers, Engineering Leads, and Directors, influencing their decisions and advocating for user needs at a strategic level. Operations Impact:

• Your research will directly influence the strategic direction of Google's core technical infrastructure and its broader ecosystem of products.

• You will play a key role in identifying new growth opportunities, improving user engagement and retention across platforms, and ensuring the usability and desirability of complex AI-driven experiences.

• The insights generated will impact millions of users globally, shaping how they interact with Google's services and AI technologies. Growth Opportunities:

• Leadership & Mentorship: Opportunity to mentor junior researchers, lead research initiatives within projects, and potentially take on more strategic leadership roles within the UXR community.

• Specialization: Deepen expertise in areas like AI user experience, large-scale ecosystem research, or advanced quantitative methodologies.

• Cross-Product Influence: Gain experience influencing product strategy across a wide range of Google's core offerings and partner products.

• Career Advancement: Potential to advance to Staff UX Researcher, Principal UX Researcher, or move into management or product strategy roles within Google.

• Continuous Learning: Access to Google's extensive internal learning resources, workshops, and conferences to stay at the forefront of UX research and AI innovation.

📝 Enhancement Note: The "Senior" title at Google implies a significant level of responsibility and impact. The "Ecosystem Growth" focus suggests a strategic role that goes beyond individual product features to consider the interconnectedness of Google's offerings. The impact on "Core" infrastructure means this role has the potential to shape fundamental user experiences across the entire Google ecosystem.

🌐 Work Environment

Office Type: Google operates large, modern, and amenity-rich office campuses designed to foster collaboration, innovation, and employee well-being. These environments typically include open workspaces, private offices, meeting rooms, cafes, recreational areas, and quiet zones.

Office Location(s):

• Kirkland, WA

• New York, NY

• Seattle, WA

• Sunnyvale, CA

These locations are major tech hubs, offering vibrant professional communities and accessibility.

Workspace Context:

• Collaborative Environment: Expect a highly collaborative atmosphere where cross-functional teams regularly interact. The "Core" team's work necessitates strong partnerships with Product Management and Engineering.

• Tools & Technology: Access to Google's internal suite of cutting-edge research tools, data analysis platforms, collaboration software, and productivity applications.

• Team Interaction: Opportunities for regular interaction with your direct UXR team, broader UX community, and project teams through meetings, brainstorming sessions, and informal discussions. The on-site nature facilitates spontaneous collaboration and knowledge sharing.

Work Schedule:

• The standard work schedule is full-time, typically 40 hours per week, with an on-site presence required.

• While set hours exist, the nature of research and product development often requires flexibility to meet project deadlines, conduct global research, or respond to urgent business needs. The environment encourages a balance between productivity and personal well-being.

📝 Enhancement Note: The on-site requirement at Google's major campuses suggests an environment designed for collaboration and access to resources. The "Core" team's work implies a fast-paced, technically oriented environment where close interaction with product and engineering is paramount.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter will review your application and resume for minimum qualifications and relevant experience.

• Phone/Video Interview (Recruiter/Hiring Manager): An initial conversation to assess your background, motivation, and fit for the role and Google's culture.

You may be asked about your research experience and approach.

• On-site/Virtual Interviews (Panel): Typically a series of 4-6 interviews with team members, including other UX Researchers, Product Managers, and potentially Engineers. These interviews will assess:

  • Research Skills: Depth of knowledge in qualitative and quantitative methods, study design, and analysis.
  • Product Sense: Ability to understand product challenges, identify research opportunities, and translate insights into product recommendations.
  • Collaboration & Influence: How you work with cross-functional teams, manage stakeholders, and drive adoption of your research findings.
  • Problem Solving: Your approach to tackling complex research problems and ambiguous situations.
  • AI/Ecosystem Focus: Your understanding of AI user experience, ecosystem dynamics, and driving growth.

• Portfolio Presentation: You will likely be asked to present a detailed case study from your portfolio, showcasing your research process, insights, and impact.

• Final Review: A hiring committee or senior leadership reviews the feedback from all interviews to make a hiring decision.

Portfolio Review Tips:

• Select Strategic Projects: Choose projects that best demonstrate your ability to drive product strategy and growth, especially those involving complex data, AI, or ecosystem-level thinking.

• Structure Your Case Study: For each project, clearly outline:

  • The Problem/Opportunity: What was the business or user challenge?
  • Your Role & Responsibilities: What specific contributions did you make?
  • Methodology: Why did you choose these methods? How did you execute them?
  • Key Findings & Insights: What did you learn? What was surprising?
  • Recommendations & Impact: What did you recommend, and what was the outcome (e.g., product changes, metric improvements, strategic shifts)? Quantify impact where possible.

• Highlight Influence: Emphasize how you influenced stakeholders and drove adoption of your research.

• Address AI/Ecosystem: If possible, include projects related to AI, complex systems, or user journeys across multiple products.

• Be Prepared to Defend: Be ready to discuss your choices, challenges encountered, and alternative approaches.

Challenge Preparation:

• Research Scenarios: Be prepared for hypothetical research scenarios or product challenges. Think about how you would approach them: What questions would you ask? What methods would you use? What data would you look for?

• Design Thinking: Practice framing problems from a user-centric perspective and generating innovative solutions.

• Stakeholder Communication: Rehearse how you would communicate complex research findings and recommendations clearly and persuasively to different audiences (e.g., engineers, executives).

• Mock Presentations: Practice presenting your portfolio case studies within a defined time limit, simulating the interview environment.

📝 Enhancement Note: Google's interview process is rigorous and multi-faceted. For this senior role, expect to demonstrate not just research proficiency but strategic thinking, influencing skills, and the ability to drive significant product outcomes. The portfolio presentation is a critical component, requiring a structured and impact-oriented narrative.

🛠 Tools & Technology Stack

Primary Tools:

• Research Platforms: Proprietary Google tools for surveys, usability testing, user interviews, and field studies (e.g., internal survey tools, video conferencing for remote studies).

• Data Analysis & Visualization:

  • Spreadsheets/Databases: Google Sheets, potentially SQL for querying data.
  • Statistical Software: R, Python (with libraries like Pandas, NumPy, SciPy) for advanced analysis.
  • Visualization Tools: Tableau, Looker (Google's BI platform), or internal visualization tools for creating dashboards and reports.

• Collaboration & Productivity:

  • Google Workspace: Gmail, Calendar, Docs, Sheets, Slides, Meet, Chat.
  • Project Management Tools: Internal Google tools for task tracking and project management.

• Qualitative Analysis Software: Tools for thematic analysis, affinity mapping (e.g., Dovetail, Miro, or internal equivalents).

Analytics & Reporting:

• Logs Analysis Tools: Google's internal logging and analytics infrastructure for analyzing user behavior at scale.

• Performance Monitoring Tools: Internal dashboards and metrics tracking systems to evaluate product performance and user engagement.

CRM & Automation:

• While not a direct CRM role, understanding how user data is managed and utilized within Google's systems is beneficial. Familiarity with data warehousing and integration concepts could be relevant.

📝 Enhancement Note: While specific proprietary tools are used at Google, candidates should highlight proficiency with general categories of tools used in UX research and data analysis. Emphasize experience with statistical analysis, data visualization, qualitative coding, and collaborative productivity suites. Familiarity with large-scale data handling and analysis is particularly relevant for this role.

👥 Team Culture & Values

Operations Values:

• Focus on the User: This is Google's paramount value. All research and product decisions should ultimately serve the user's needs and improve their experience.

• Data-Driven & Empirical: Decisions are grounded in data and evidence. Research must be rigorous, and insights must be clearly supported by findings.

• Impact & Ownership: Employees are encouraged to take ownership of their work and drive meaningful impact. This role requires a proactive approach to identifying opportunities and influencing outcomes.

• Collaboration & Teamwork: Google fosters a highly collaborative environment. Success often depends on effective teamwork and cross-functional partnerships.

• Innovation & Boldness: Encouragement to think big, challenge the status quo, and explore novel solutions. This is particularly relevant for "Ecosystem Growth" and AI product development.

• Inclusivity & Diversity: A commitment to building diverse teams and creating inclusive products and experiences for all users.

Collaboration Style:

• Cross-Functional Integration: Close working relationships with Product Management, Engineering, Design, and other operational teams are essential. Research insights need to be integrated seamlessly into the product development lifecycle.

• Open Communication: Encouragement of open dialogue, constructive feedback, and knowledge sharing. Researchers are expected to articulate their findings clearly and engage in robust discussions.

• Iterative Feedback Loops: The culture supports continuous feedback and refinement, with research playing a key role in informing iterative improvements.

• Advocacy for Users: Researchers act as advocates for the user, bringing their perspectives and needs into strategic discussions and product planning.

📝 Enhancement Note: Google's culture is characterized by a strong emphasis on user focus, data-driven decision-making, innovation, and collaboration. For a Senior UX Researcher, demonstrating how you embody these values, particularly in influencing product strategy and advocating for users within complex technical teams, will be key.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating a Large Organization: Working within Google's vast structure can present challenges in terms of aligning priorities, gaining buy-in from diverse stakeholders, and understanding complex interdependencies between product teams.

• Defining "Ecosystem Growth": Translating a broad mandate like "Ecosystem Growth" into concrete, researchable questions and actionable strategies requires significant strategic thinking and clarity.

• Researching Complex AI & Core Technologies: Understanding and researching advanced AI concepts (agentic autonomy, cross-app integration) and foundational technical infrastructure requires a steep learning curve and the ability to bridge technical and human-centered domains.

• Driving Impact with Data: Ensuring research findings lead to tangible product changes and measurable growth in a data-rich environment requires strong analytical skills and persuasive communication.

• Balancing Strategic Vision with Tactical Execution: Effectively managing long-term strategic research initiatives while also executing on immediate product needs can be demanding.

Learning & Development Opportunities:

• Advanced Research Techniques: Opportunities to learn and apply cutting-edge research methodologies, especially in the rapidly evolving fields of AI and complex systems.

• Industry Conferences & Training: Access to internal and external conferences, workshops, and training programs to enhance research skills and stay abreast of industry trends.

• Mentorship: Benefit from mentorship from senior researchers and leaders within Google's extensive UXR community.

• Cross-Functional Skill Development: Gain deeper insights into product management, engineering practices, and data science through close collaboration.

• Leadership Development: Opportunities to hone leadership skills through project ownership, mentoring, and potentially taking on team lead responsibilities.

📝 Enhancement Note: The challenges are inherent to working at a large tech company on complex, foundational products. The growth opportunities are significant, offering deep specialization and broad strategic influence.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you influenced product strategy using research insights. What was the outcome?" (Focus on impact, stakeholder management, and strategic thinking.)

• "How would you approach researching user adoption and engagement for a new AI-powered feature within Google's ecosystem?" (Demonstrate understanding of growth metrics, AI UX, and ecosystem dynamics.)

• "Imagine you need to drive '0-to-1' product development in a complex technical area. How would your research process differ from iterating on an existing product?" (Showcase your ability to handle ambiguity and explore new frontiers.)

• "How do you balance user needs with business goals and technical constraints? Provide an example." (Highlight your pragmatism and ability to find user-centric solutions within real-world limitations.)

• "What are the key challenges in building user trust for AI-driven experiences, and how would you research them?" (Demonstrate your understanding of AI ethics, transparency, and user perception.) Company & Culture Questions:

• "Why Google? What excites you about working on its core infrastructure and ecosystem growth?" (Research Google's mission, values, and recent product developments, especially in AI and cloud.)

• "Describe your experience working in a large, matrixed organization. How do you navigate such environments?" (Showcase your collaboration, communication, and influence skills.)

• "How do you contribute to a positive and productive team culture?" (Align your response with Google's values like collaboration, user focus, and continuous learning.)

• "How do you stay current with advancements in UX research and AI technology?" (Highlight your commitment to continuous learning and professional development.) Portfolio Presentation Strategy:

• Tell a Story: Structure your case study as a narrative. Start with the problem, walk through your journey, and end with the impact.

• Quantify Everything Possible: Use metrics to demonstrate the impact of your research (e.g., "increased conversion by X%", "reduced task completion time by Y%", "identified Z key user segments").

• Show, Don't Just Tell: Use visuals (screenshots, diagrams, personas, quotes) to illustrate your findings and process.

• Focus on Your Role: Clearly articulate your specific contributions, especially if it was a team project.

• Be Prepared for Deep Dives: Interviewers will ask probing questions about your methodology, decisions, and the impact of your work. Be ready to defend your choices and discuss challenges.

• Connect to the Role: Frame your projects to highlight how your skills and experience align with the requirements of this specific Senior UX Researcher role at Google, emphasizing ecosystem growth and AI.

📝 Enhancement Note: Preparation should focus on demonstrating strategic thinking, research leadership, and the ability to drive impact in a complex, innovative environment like Google. Articulating how your research contributes to growth and user trust in AI is paramount.

📌 Application Steps

To apply for this operations position:

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

• Craft a compelling resume: Tailor your resume to highlight experience in applied research, product development, ecosystem growth, AI user experience, and stakeholder influence. Use keywords from the job description.

• Develop your portfolio: Select 2-3 of your most impactful research projects that demonstrate strategic thinking, methodological rigor, and quantifiable results. Ensure it addresses the "Ecosystem Growth" and AI aspects of this role.

• Prepare for your case study presentation: Rehearse presenting your chosen portfolio project(s) clearly, concisely, and persuasively, focusing on impact and your role.

• Research Google's core products and AI initiatives: Understand their current landscape and how user experience research contributes to their success. Familiarize yourself with Google's UX research community and values.

⚠️ 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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