Staff UX Researcher, Gemini Notebook

📍 Job Overview

Job Title: Staff UX Researcher, Gemini Notebook

Company: Google

Location: Mountain View, CA; Boulder, CO; New York, NY; Seattle, WA (United States)

Job Type: Full-Time

Category: User Experience Research / Product Operations

Date Posted: July 31, 2026

Experience Level: 5-10 years

Remote Status: On-site

🚀 Role Summary

• Lead and execute end-to-end User Experience (UX) research initiatives within the innovative Gemini Notebook (formerly NotebookLM) product team.

• Drive the product roadmap by conducting foundational and evaluative research across all stages of the product development lifecycle, from ideation to feature rollout.

• Apply a blend of mixed-methods research techniques, including surveys, in-depth interviews, concept testing, and experimental statistics, to uncover user needs and product opportunities.

• Synthesize complex qualitative and quantitative data into actionable insights that directly shape product strategy and user experience design.

• Champion user-centric perspectives by advocating research findings to diverse audiences, including executive leadership, product managers, designers, and engineers.

📝 Enhancement Note: This role is specifically positioned within Google Labs, indicating a focus on incubating early-stage efforts and exploring new technologies like AI/ML to transform core Google products. The "player-coach" aspect suggests a hands-on researcher who also guides and mentors others, common in fast-paced, ambiguous environments. The emphasis on "foundational research to define long-term goals" points to strategic, forward-looking research responsibilities beyond immediate feature evaluation.

📈 Primary Responsibilities

• Partner closely with Gemini Notebook leads, Product Management, UX Design, and Engineering teams to integrate research insights throughout the product development lifecycle.

• Own and drive research roadmaps, managing multi-phase projects that range from tactical feature validation to strategic, long-term exploratory research.

• Design, plan, and execute comprehensive mixed-methods research studies, encompassing surveys, concept testing, usability testing, and robust experimental statistics.

• Synthesize qualitative and quantitative data from various research methods to answer critical product questions and inform the direction of new user experiences.

• Advocate for research findings by effectively communicating insights and recommendations to cross-functional teams and executive stakeholders, influencing product strategy and decision-making.

• Collaborate with AI and Machine Learning teams to understand the implications of these technologies on user interactions and research methodologies.

• Contribute to the definition of long-term product goals through foundational research that explores unmet user needs and emerging technology opportunities.

• Oversee the research aspects of feature rollouts, ensuring user feedback is collected and analyzed to inform post-launch iterations.

📝 Enhancement Note: The responsibility to "Own and drive research roadmaps with multi-phase projects across tactical efforts" suggests a need for strong project management and strategic planning skills, moving beyond single-study execution to program-level research leadership. The mention of "experimental statistics" and "concept testing" highlights a quantitative rigor expected in this role.

🎓 Skills & Qualifications

Education:

• Bachelor’s degree in a relevant field (e.g., Computer Science, Psychology, Anthropology, Human-Computer Interaction, Statistics) 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 8 years of experience in an applied research setting, or similar, with a strong track record of impacting product development.

• 7 years of experience working directly with executive leadership (e.g., Director level and above), demonstrating the ability to communicate complex research findings to senior stakeholders.

• 5 years of experience managing complex research projects and navigating large, matrixed organizations such as Google.

• Demonstrated experience with Artificial Intelligence (AI) and Machine Learning (ML) technologies, understanding their user experience implications.

• Experience working in startup environments or scaling nascent products is preferred, indicating adaptability and comfort with ambiguity. Required Skills:

• Proficiency in mixed-methods research, including survey design, in-depth interviewing, ethnographic studies, and usability testing.

• Strong expertise in experimental statistics and quantitative data analysis, with the ability to design and interpret experiments.

• Experience conducting research across all stages of the product development lifecycle, from generative to evaluative research.

• Excellent synthesis skills, capable of integrating qualitative and quantitative data into compelling narratives and actionable insights.

• Demonstrated ability to advocate for research findings and influence product strategy and cross-functional stakeholders, including executive audiences. Preferred Skills:

• Deep understanding of AI/ML concepts and their impact on user interfaces and user behavior.

• Experience in scaling research operations and processes in a fast-paced environment.

• Familiarity with agile development methodologies and working within cross-functional product teams.

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

📝 Enhancement Note: The requirement for 8 years of experience, coupled with a preference for a Master's or PhD and experience with executive leadership, positions this as a senior or staff-level researcher role. The emphasis on AI/ML, startup experience, and managing projects in a matrixed organization suggests the need for a researcher who is not only methodologically sound but also strategic, adaptable, and able to navigate complex organizational dynamics.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate a clear progression of research projects, showcasing the problem, methodology, insights, and impact on product decisions.

• Highlight instances where research directly influenced product strategy, roadmap prioritization, or feature design, ideally with measurable outcomes.

• Include examples of how you have synthesized complex qualitative and quantitative data into clear, actionable recommendations for diverse stakeholders.

• Showcase experience with various research methodologies, particularly mixed-methods approaches, experimental design, and quantitative analysis.

• Present evidence of managing research projects from conception to completion, including scope definition, planning, execution, and reporting. Process Documentation:

• Provide examples of research plans and methodologies designed to address specific product questions or hypotheses.

• Include artifacts demonstrating the synthesis of research findings, such as insight reports, user journey maps, or personas, that have driven product understanding.

• Showcase how you have communicated research insights effectively to product teams, designers, engineers, and executive leadership through presentations, workshops, or documentation.

• Illustrate experience in iterating on research processes and methodologies to improve efficiency, impact, or quality within a product development context.

📝 Enhancement Note: For a Staff UX Researcher role, especially within Google Labs and working on AI/ML products, a portfolio should emphasize strategic impact and the ability to handle ambiguity. Candidates should be prepared to discuss how their research has shaped long-term product vision, not just immediate usability improvements. Demonstrating experience with AI/ML research challenges and scaling products will be critical.

💵 Compensation & Benefits

Salary Range:

• The provided salary range for this position in the US is $188,000 - $274,000 USD per year. This range is determined by factors such as job-related skills, experience, relevant education or training, and location-specific market data. Benefits:

• Bonus Target: A 20% bonus target is offered, providing an incentive based on individual and company performance.

• Equity: Stock options or other forms of equity are part of the compensation package, offering long-term financial participation in Google's success.

• Health Insurance: Comprehensive health insurance coverage, including medical, dental, and vision plans.

• Retirement Savings: Access to retirement savings plans, such as a 401(k), with potential company matching.

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

• Professional Development: Opportunities for continuous learning, training, and conference attendance.

• Other Perks: May include wellness programs, employee assistance programs, commuter benefits, and on-site amenities (depending on location).

Working Hours:

• The standard working hours are 40 hours per week. While the role is on-site, Google often offers flexibility in daily scheduling, allowing for adaptation around core collaboration times.

📝 Enhancement Note: The salary range provided is inclusive of location adjustments and reflects a senior-level position at a major tech company. The "20% bonus target" and "equity" are standard components of compensation for such roles at Google, emphasizing performance-based rewards and long-term commitment. The inclusion of "Health Insurance" is a baseline benefit, but Google's comprehensive benefits package often extends to wellness, parental leave, and other support systems.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (Software & AI Development)

Company Size: Google is a massive global corporation employing hundreds of thousands of individuals worldwide. This scale means access to vast resources, extensive networking opportunities, and established processes, but also requires navigating complex organizational structures.

Founded: 1998. Google's history is marked by continuous innovation, a data-driven approach, and a commitment to organizing the world's information. This ethos fosters a culture of experimentation, continuous improvement, and a focus on long-term impact.

Team Structure:

• The Gemini Notebook (formerly NotebookLM) team operates within Google Labs, an incubator for early-stage, high-potential projects. This suggests a dynamic, agile team structure focused on rapid iteration and exploration.

• The research function is integrated directly with Product Management, UX Design, and Engineering, fostering a highly collaborative, cross-functional environment. Researchers act as "player-coaches," implying a blend of individual contribution and leadership within the team.

• The team likely has a flat hierarchy within its immediate working group, enabling direct communication and rapid decision-making, though it operates within the broader Google organizational framework. Methodology:

• Data-Driven Decision Making: Google's operations are heavily reliant on data analysis to inform product development, strategy, and performance measurement.

• Iterative Development: The team employs agile methodologies, focusing on rapid prototyping, user feedback, and continuous iteration to refine products.

• User-Centricity: A core tenet is understanding and serving user needs, with UX research playing a pivotal role in guiding product direction.

• Exploration and Innovation: As part of Google Labs, the team is encouraged to explore new technologies (especially AI/ML) and develop novel solutions that have the potential for significant market transformation.

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

📝 Enhancement Note: The context of Google Labs is crucial. It implies a culture that embraces ambiguity, rapid experimentation, and the development of potentially disruptive technologies. The "player-coach" role suggests a need for individuals who can both execute research independently and guide the research direction of the team, often without explicit hierarchical management.

📈 Career & Growth Analysis

Operations Career Level: Staff UX Researcher. This level signifies a senior individual contributor role, recognized for deep expertise, strategic thinking, and the ability to lead complex initiatives. Staff researchers are expected to operate with a high degree of autonomy, influence product direction significantly, and mentor junior team members. They often tackle ambiguous problems and contribute to defining the research strategy for a product area or team.

Reporting Structure: The Staff UX Researcher will report to a research lead or manager within the Gemini Notebook team, which itself operates under Google Labs. They will work closely with Principal Product Managers, Lead UX Designers, and Senior Engineers, forming a core product leadership team. This structure allows for direct collaboration and influence on the product roadmap.

Operations Impact: The impact of this role is substantial, directly influencing the development of Gemini Notebook, a product aimed at transforming how users interact with complex information using AI. The researcher's insights will shape the core functionality, user experience, and long-term strategic direction of a potentially transformative Google product. Their work will contribute to Google's mission of organizing information and making AI tools universally accessible and useful.

Growth Opportunities:

• Specialization & Leadership: Opportunity to become a recognized expert in UX research for AI/ML products, particularly large language models and generative AI applications. Potential to grow into a Principal Researcher role or move into research management.

• Cross-Functional Leadership: Develop deeper expertise in product strategy, AI/ML technologies, and cross-functional team leadership, potentially leading to product management or strategic roles.

• Mentorship & Influence: Guide and mentor junior researchers, contribute to the broader research community at Google, and influence research best practices within Google Labs and beyond.

• Innovation & Impact: Contribute to cutting-edge AI product development, with the potential to create products that impact millions or billions of users globally.

📝 Enhancement Note: The "Staff" level designation is critical, indicating a need for candidates who can handle ambiguity, drive strategy, and mentor others. The growth opportunities highlight a path not just within UX research but also into broader product leadership and technical specialization within AI/ML.

🌐 Work Environment

Office Type: This role is classified as On-site, meaning the expectation is for the employee to work from a Google office location in Mountain View, Boulder, New York, or Seattle. Google offices are typically designed to foster collaboration, innovation, and employee well-being.

Office Location(s):

• Mountain View, CA: Google's headquarters, offering a vast campus with extensive amenities and a hub for many product and engineering teams.

• Boulder, CO: A growing Google engineering hub, often associated with specific product areas and innovation.

• New York, NY: A prominent Google office, particularly for product, engineering, and sales teams, offering access to a vibrant urban environment.

• Seattle, WA: Another significant Google engineering presence, known for its focus on various product and cloud services.

Workspace Context:

• Collaborative Spaces: Offices will feature a mix of open-plan workstations, private offices, meeting rooms equipped with advanced AV technology, and informal collaboration areas designed to encourage spontaneous interaction.

• Tools & Technology: Researchers will have access to high-performance computing resources, specialized software for data analysis and visualization, and the full suite of Google internal tools and platforms.

• Team Interaction: Expect regular in-person meetings, design reviews, research debriefs, and cross-functional brainstorming sessions. The on-site nature facilitates spontaneous discussions and stronger team cohesion.

Work Schedule: While the role is on-site, Google generally promotes a flexible work environment within the confines of its on-site requirements. This means that while core hours for team collaboration will be expected, there may be flexibility in daily start and end times, enabling researchers to manage their schedules effectively around data analysis, deep work, and team needs.

📝 Enhancement Note: The on-site requirement for a Staff UX Researcher at Google implies a need for active participation in team dynamics, in-person collaboration, and immersion in the company's innovative environment. The choice of office locations offers variety, but the core expectation is physical presence.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter will review your application and potentially conduct a brief phone screen to assess basic qualifications and interest.

• Hiring Manager Interview: An interview with the hiring manager to discuss your experience, research philosophy, leadership capabilities (player-coach), and fit with the Gemini Notebook team and Google Labs.

• Portfolio Review & Presentation: A dedicated session where you will present a selection of your most impactful research projects. This typically involves discussing 2-3 case studies, detailing the problem, your approach, key findings, and the resulting impact on product decisions. Expect deep dives into your methodology and strategic thinking.

• Cross-Functional Interviews: Interviews with Product Managers, UX Designers, and Engineers from the Gemini Notebook team. These sessions will assess your collaboration style, ability to translate research into actionable product insights, and understanding of product development constraints.

• Research Team Interviews: Interviews with other UX Researchers at Google. These will focus on your research craft, methodological rigor, ability to handle complex or ambiguous problems, and how you contribute to the research community.

• Executive/Senior Leadership Interview: Potentially an interview with a senior leader (Director level or above) to assess your strategic thinking, executive communication skills, and ability to influence at a high level.

Portfolio Review Tips:

• Curate for Impact: Select 2-3 projects that best demonstrate your ability to drive product strategy, handle ambiguity, and deliver measurable impact, particularly in areas relevant to AI/ML or complex information products.

• Structure Your Narratives: For each case study, clearly articulate: The Problem (user need, business challenge), Your Role & Responsibilities, Methodology (why you chose it, how you executed it), Key Insights (what you learned), Impact (how it influenced the product, any metrics), and Learnings.

• Showcase Mixed-Methods & Quantitative Rigor: Highlight instances where you effectively combined qualitative and quantitative data, or where your experimental statistics led to significant product decisions.

• Emphasize Collaboration: Clearly describe how you partnered with PMs, Designers, and Engineers, and how you advocated for user needs within those cross-functional relationships.

• Prepare for Deep Dives: Be ready to discuss the nuances of your methodologies, defend your choices, and explain how you handled challenges or unexpected findings.

Challenge Preparation:

• Hypothetical Product Scenario: Be prepared for a hypothetical product design or strategy question where you'll need to outline a research approach. Focus on identifying key questions, defining target users, proposing appropriate methodologies (mixed-methods), and outlining how you'd measure success.

• Data Interpretation: You might be presented with a dataset or research findings and asked to interpret them and propose next steps.

• Strategic Thinking: Practice articulating how research can inform long-term product vision, not just tactical feature improvements.

📝 Enhancement Note: The interview process at Staff level is rigorous and multi-faceted, assessing not only research craft but also strategic influence, collaboration, and community contribution. The portfolio presentation is a critical component, requiring candidates to tell compelling stories of impact.

🛠 Tools & Technology Stack

Primary Tools:

• User Research Platforms: Tools for survey creation (e.g., Qualtrics, SurveyMonkey), participant recruitment, and moderated/unmoderated usability testing (e.g., UserTesting.com, Lookback).

• Data Analysis Software: Statistical software packages (e.g., R, SPSS, Python with libraries like Pandas/NumPy) for quantitative analysis and experimental statistics. Qualitative data analysis tools (e.g., Dovetail, NVivo) for coding and synthesizing interview data.

• Collaboration Tools: Google Workspace suite (Docs, Sheets, Slides, Meet, Chat) for documentation, communication, and collaboration. Project management tools (e.g., Jira, Asana) may be used for tracking research projects.

Analytics & Reporting:

• Data Visualization Tools: Tableau, Looker (Google's internal BI platform), or similar tools for creating dashboards and reports that communicate research findings and product performance metrics.

• A/B Testing Platforms: Experience with or understanding of A/B testing frameworks and how UX research complements quantitative experimentation.

• Internal Google Analytics Tools: Familiarity with Google's proprietary analytics and data warehousing systems for accessing user behavior data.

CRM & Automation:

• While not directly managing a CRM, understanding how user data is stored and accessed (e.g., within Google's internal systems) is beneficial for contextualizing research. Experience with workflow automation concepts is a plus, especially for streamlining research operations.

• Integration Tools: Awareness of how different data sources (user feedback, analytics, CRM) can be integrated to provide a holistic view of the user.

📝 Enhancement Note: For a Staff UX Researcher at Google, proficiency with statistical analysis tools like R or Python is expected. Familiarity with Google's internal tools (Workspace, Looker) is a significant advantage. The role requires bridging the gap between raw data and actionable product insights, necessitating strong analytical and visualization skills.

👥 Team Culture & Values

Operations Values:

• Impact-Driven: A strong focus on delivering measurable impact through research that directly shapes product strategy and user experience.

• Data-Informed & User-Centric: Balancing rigorous quantitative analysis with deep qualitative