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Google Lens is seeking a Staff Mixed-Methods UX Researcher to advance multimodal search experiences with a strong research backbone. The role involves leading diverse studies, influencing product strategy, and partnering with engineering and product management to translate insights into impactful features.
You will own research programs spanning field studies, interviews, diary studies, and usability testing, ensuring findings shape the next generation of multimodal AI-powered shopping
Mountain View, CA, USA; New York, NY, USA
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA.
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.
As part of Lens on the Multimodal Search team, we're evolving Search to enable users to ask anything in any way. As Search goes through a deeper AI evolution with AI Mode and other emergent capabilities, it's critical to ensure the Multimodal Search product experience is intuitive, seamless, and helpful. In this role, you will influence and steer the product strategy to a more multimodal, AI-forward experience, with a specific focus on Multimodal AI quality and model improvements anchored on real user needs. You will also guide our product evolution towards a collaborative, more personalized, and multimodal-forward AI shopping experience.
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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $188000 - $274000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
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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.
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