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Menlo Park, California, United States
Onsite
We are seeking a Senior UX Researcher to support product and experience research across a portfolio of large scale consumer products. This role is ideal for an experienced researcher with a strong quantitative foundation who can lead complex survey research, apply mixed methods when appropriate, and translate research findings into clear recommendations for product teams and senior leadership.
The researcher will work within a collaborative research organization, partnering closely with Product, Design, Content, Data Science, and other cross functional stakeholders to identify user needs, evaluate concepts and experiences, and influence product direction.
• Plan and execute end to end UX research using quantitative, qualitative, and mixed methods
• Design, field, and analyze large scale and complex consumer surveys
• Develop research plans, survey instruments, discussion guides, and study materials
• Conduct interviews, usability testing, diary studies, concept testing, and other research as appropriate
• Analyze and synthesize findings into actionable insights, frameworks, and recommendations
• Present research findings through clear, concise reports, readouts, and workshops
• Partner closely with Product, Design, Content, Data Science, and other stakeholders
• Influence product direction through research and strong stakeholder relationships
• Support rapid research cycles that inform iterative product development
• Utilize AI tools throughout the research workflow
• Navigate ambiguous research questions, data quality challenges, and evolving business priorities
• 5+ years of UX research or human centered research experience, with senior level experience strongly preferred
• Strong quantitative research expertise, particularly designing, fielding, and analyzing large or complex surveys
• Strong understanding of core UX research methods and the ability to select the appropriate methodology for the research question
• Demonstrated ability to translate research findings into actionable product and design recommendations
• Strong stakeholder management and influence skills
• Experience presenting research and recommendations to leadership
• Prior Meta experience
• Bachelor’s degree in Human Computer Interaction, Psychology, Sociology, Anthropology, or a related field, or equivalent practical experience
• Mixed methods research experience with strong qualitative depth
• Experience building or managing research trackers
• Vendor or research supplier management experience
• Experience providing performance feedback to external research partners
• Familiarity with AI powered research tools and AI enabled products
• Consumer product or messaging research experience, including WhatsApp
• Comfortable working with ambiguity and evolving priorities
• Curious, collaborative, and receptive to feedback
This role requires more than strong qualitative research skills. The ideal candidate has substantial quantitative and survey research depth and is comfortable owning large scale studies from design through analysis and recommendations. Researchers whose experience is primarily qualitative without meaningful survey or quantitative depth are unlikely to be a fi
Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation.
Location: Onsite - Menlo Park, Seattle, NYC
Role type: Contract - 9 Month Position
Expected hours: 40 per week
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