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Posted a day ago
Lead UX Researcher
Glance AILead - UX Researcher
Requirements
7+ years in user or consumer research, 3+ years leading mixed-methods studies, Cross-cultural research experience (US market), Strong grounding in behavioural science, Mentoring experience
Skills
UX ResearchMixed Methods
About the role
About the Company
Glance AI is an AI commerce platform shaping the next wave of e-commerce with inspiration-led shopping. Operating in 140 countries, Glance AI transforms every screen into a stage for instant, personal, and joyful discovery. Part of the InMobi Group, Glance AI is backed by Google, Jio Platforms, and Mithril Capital.
Responsibilities
- Design and lead mixed-methods research programs across Consumer Understanding, experimentation, and strategic research
- Conduct grounded theory-style strategic research to frame open-ended questions
- Inform experiment design with behavioural science principles and lead post-experiment interpretation
- Generate hypotheses for Data Science from qualitative signals and investigate product data anomalies
- Partner with Product, Growth, and Data Science on funnel behaviour and cohort identification
- Mentor existing UX researchers on methodology, study design, and AI fluency
- Set the bar for how the team uses AI in research, including evaluating tools and building workflows
Requirements
- 7+ years in user, consumer, or behavioural research
- 3+ years leading studies integrating qualitative and quantitative methods
- Demonstrated cross-cultural research experience, specifically with US consumers
- Strong grounding in behavioural science and decision heuristics
- Ability to translate qualitative signals into testable hypotheses for data teams
- Proven track record of recommendations being adopted by product or marketing teams
- Mentoring experience with junior researchers
Preferred Qualifications
- Background in consumer tech, commerce, or content/discovery products
- Experience with agentic commerce, conversational AI, or shopping-with-AI
- Experience working closely with Data Science or ML teams
- Strong command of longitudinal qualitative methods like diary studies or ethnography
- Proficiency with research stacks such as dscout, Userlytics, Maze, or Qualtrics
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Glance AI · Bangalore
