Mixed-Methods UX Researcher

Google Inc.

Northern, New York (KY, NY)

Hybrid

USD 132,000 - 189,000

Full time

11 hours ago
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Benefits offered by this job

Equity
Benefits

Job summary

Google seeks a User Experience Researcher to join its multi-disciplinary UX team and collaborate with Engineering and Product Management to uncover user needs and inform industry-leading products.

You will conduct primary research including field studies, interviews, diary studies, ethnography, surveys, usability testing, and logs analysis to guide product development and ensure usability, usefulness, and impact.

Qualifications

  • Bachelor's degree in Cognitive Science, HCI, Statistics, or related field.
  • 4 years of experience in an applied research setting (e.g., product or academic) or similar.
  • Experience with quantitative research (e.g., survey design, regression modeling, R, Python, or SQL analysis) and qualitative research methodologies.
  • Experience working with AI models and AI product development.

Responsibilities

  • Lead mixed-methods research programs investigating how user identity, profile boundaries, and privacy choice architecture influence intentional search discovery, content engagement, and platform trust.
  • Design, deploy, and analyze quantitative studies (utilizing techniques such as factor analysis, segmentation, regression modeling, and MaxDiff) to quantify latent user attitudes, privacy comfort thresholds, and search intent.
  • Bridge generative qualitative inquiries (e.g., deep interviews, diary studies, mental model mapping) with statistical validation to deliver product recommendations.
  • Direct research analyzing how consumer search and discovery habits shift across traditional search, conversational AI assistants, and short‑form video feeds.
  • Translate statistical analyses, behavioral metrics, and qualitative narratives into strategic guidance for cross-functional stakeholders.

Skills

Quantitative research
Qualitative research
UX research
AI product development
Field studies
Interviews
Diary studies
Surveys
Usability testing
Logs analysis

Education

Bachelor's degree in Cognitive Science, HCI, Statistics, or related field
Master's or PhD in HCI, Cognitive Science, Statistics, Psychology, Anthropology or related field

Tools

R
Python
SQL

Job description

corporate_fare Google place San Bruno, CA, USA ; New York, NY, USA

X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: San Bruno, CA, USA; New York, NY, USA.

  • Bachelor's degree in Cognitive Science, Human-Computer Interaction (HCI), Statistics, a related social science field, or equivalent practical experience.
  • 4 years of experience in an applied research setting (e.g., product or academic) or similar.
  • Experience with quantitative research (e.g., survey design, regression modeling, R, Python, or SQL analysis) and qualitative research methodologies.
  • Experience working with AI models and AI product development.
Preferred qualifications:
  • Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics, Psychology, Anthropology, or related field.
  • 3 years of experience working with senior leadership (e.g., Director level and above).
  • 2 years of experience conducting UX research on products, managing projects, and working in a large, matrixed organization.
  • Experience with Model UX/LLM evaluation (e.g., authoring system instructions, developing evaluations, conducting loss analysis) and psychometric scale development.
  • Experience with user identity and privacy frameworks in user research.
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.

At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun - and we do it all together.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

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.

At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun - and we do it all together.

Individual pay is determined by factors include…

US: $132000 - $189000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

  • Lead mixed-methods research programs investigating how user identity, profile boundaries, and privacy choice architecture influence intentional search discovery, content engagement, and platform trust.
  • Design, deploy, and analyze quantitative studies (utilizing techniques such as factor analysis, segmentation, regression modeling, and MaxDiff) to quantify latent user attitudes, privacy comfort thresholds, and search intent.
  • Bridge generative qualitative inquiries (e.g., deep interviews, diary studies, mental model mapping) with statistical validation to deliver product recommendations.
  • Direct research analyzing how consumer search and discovery habits shift across traditional search, conversational AI assistants, and short‑form video feeds.
  • Translate statistical analyses, behavioral metrics, and qualitative narratives into strategic guidance for cross-functional stakeholders.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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