About the job

At Google, we "Focus on the user and all else will follow." As a User Experience Researcher (UXR), you make this possible. You will join our multi-disciplinary UX team, collaborating with Engineering and Product Management, to gather insights and create industry-leading products.

You’ll play a critical role in helping your team understand user needs and will drive impact at all stages of product development, ensuring products are useful, usable, and helpful. You will explore user behaviors and motivations by conducting primary research, including: field studies, interviews, diary studies, ethnography, surveys, usability testing, and logs analysis. You will also grow within a supportive UXR community offering mentorship, regular meetups, and exclusive internal tools.

The mission of the Search Verticals and International team is to "elevate the journeys that matter most" - designing specialty experiences for a global user base searching for information on travel, local, finance, TV & movies, sustainability, sports, and so much more. In the era of AI, this team sits at a critical junction - how do we transform these long-standing experiences to meet (and lead) the evolution in how users prefer to seek and consume information? This team works across key Search surfaces, including the Search results page, the new "AI Mode," and Discover (the personalized feed in the Google App).

In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

The US base salary range for this full-time position is $159,000-$231,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Plan and execute a variety of qualitative research methods, such as in-depth interviews, contextual inquiries, and usability studies, to gather user feedback. Develop and refine research questions to address key product and design challenges, and recruit and manage participant pools for research studies.

• Analyze and synthesize qualitative data to generate actionable insights and recommendations. Create detailed reports, user personas, and journey maps to communicate research findings to stakeholders.

• Collaborate with product managers and designers to translate research insights into product requirements and design improvements. Present research findings to a variety of audiences, from project teams to executive leadership.

• Work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. Break down complex problems into steps that drive product development.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.

• 6 years of experience of experience in an applied research setting (e.g., product or academic), or similar.

• Experience with research methods (e.g., usability, studies, contextual inquires, 1:1 interviews, unmoderated research studies).

Preferred qualifications

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

• 5 years of experience conducting UX research on products and working with executive leadership (e.g., Director level and above).

• 3 years of experience managing projects, and working in a large, matrixed organization.

• Experience working on products related to artificial intelligence, machine learning, or data-heavy platforms.