Glance
Glance AI is an AI commerce platform shaping the next wave of e-commerce with inspiration-led shopping, less about searching for what you want and more about discovering who you could be. Operating in 140 countries, Glance AI transforms every screen into a stage for instant, personal, and joyful discovery, where inspiration becomes something you can explore, feel, and shop in the moment. Its proprietary models, seamlessly integrated with Google’s most advanced AI platforms, Gemini and Imagen on Vertex AI, deliver hyper-realistic, deeply personal shopping experiences across categories such as fashion, beauty, travel, accessories, home décor, pets, and more. Designed to seamlessly integrate into everyday consumer technology, Glance AI reimagines the future of e-commerce with inspiration-led discovery and shopping. With an open architecture built for effortless adoption across hardware and software ecosystems, Glance AI is creating a platform that can become a staple in everyday consumer technology. It partners with the world’s leading smartphone makers, connected TV manufacturers, telecom providers, and global brands — meeting people where they are: on mobile, smart TVs, and brand websites. Through Glance AI’s rich first-party data and unparalleled consumer access, it harnesses InMobi’s global scale, insights, and targeting capabilities to create high-impact, performance-driven shopping journeys for brands worldwide. Part of the InMobi Group, a global technology and advertising leader reaching over 2 billion devices and serving more than 30,000 enterprise brands worldwide, Glance AI is backed by Google, Jio Platforms, and Mithril Capital. Good catch. Here's a revised JD with a proper company section up top: Job Description Consumer Insights Lead, Foresight & Behavioral Insights Unit Bangalore | Reports to Director, User Research | Glance (InMobi) About Glance Glance is a consumer technology company building the future of the lock screen and ambient TV experience. Our products reach hundreds of millions of users globally, with the United States as our primary market and Japan as a growing area of focus. Backed by Jio Platforms, Google, and Mithril Capital, Glance is a part of the InMobi Group, one of the world's largest independent technology companies. We're building products at the intersection of content, commerce, and AI — including a category-defining position in agentic commerce. Our consumer base is large, diverse, and rapidly evolving, which makes deep consumer understanding not a nice-to-have but a competitive necessity. About the team The Foresight & Behavioral Insights Unit decodes how consumers behave, think, and evolve — informing what product builds, how marketing positions, and how strategy evolves. We're scaling the team to bridge a critical mixed-methods capability gap and expand coverage from the US into Japan.
The Consumer Insights is a role designed to fix a long-standing operational friction: our previous structure separated quant from qual, creating handoff delays and shallow insight. This role owns the quantitative backbone of our research — segmentation, survey design, behavioral cohort identification, longitudinal tracking — and partners closely with qualitative researchers to produce integrated, mixed-methods output that stakeholders can actually act on. You'll work across Growth, Data Science, and Leadership, with deliverables ranging from segmentation studies for product strategy, to Voice of Consumer dashboards for executive reviews, to hypothesis generation that feeds Data Science's predictive models. The role spans Glance AI Shopping, Glance Spaces, Glance TV, 1Weather, and Apple Lock Screen, with the US as primary market and Japan as a growing area of focus.
Design and run quantitative studies — segmentation, conjoint, MaxDiff, survey-based behavioral cohorts, longitudinal trackers Collaborate with qualitative researchers to integrate findings into single, decision-ready narratives Partner with Data Science on user profile intelligence and decision heuristics Own Voice of Consumer programs — structured feedback loops, sentiment tracking, anomaly investigation Translate funnel and survey data into hypotheses that explain the "why" behind behavioral signals Manage global research panels and survey vendors across US and APAC
Quantitative research design — segmentation (cluster, latent class), conjoint, MaxDiff, survey methodology, sampling design Statistical analysis in R, Python, or SPSS — regression, factor analysis, significance testing, weighting Survey platform fluency — Qualtrics, Typeform, SurveyMonkey, or equivalent Mixed-methods integration — ability to triangulate quant findings with qualitative signals into a single narrative Voice of Consumer program design — longitudinal tracking, sentiment monitoring, structured feedback loops Data visualization and stakeholder storytelling — comfort with Tableau, Looker, or similar; ability to present to non-technical executives Global panel and vendor management — sample sourcing, quality control, fielding across multiple markets Personality Traits Bridges quant and qual instinctively — neither tribe owns them Genuinely curious about consumer behavior, not just numbers Comfortable challenging stakeholder assumptions with evidence Operates with intellectual humility — distinguishes signal from noise, flags uncertainty honestly Collaborative across functions — researchers, data scientists, PMs, marketers Adaptable across cultural contexts; sensitive to nuance in how consumers in different markets respond to research instruments Bias toward shipping insight, not perfecting decks Self-directed; can scope and run studies with light oversight
4–7 years of consumer insights, market research, or quantitative UX research experience Bachelor's or Master's in a quantitative or behavioral discipline (Statistics, Psychology, Sociology, Economics, HCI, or related) Demonstrated mixed-methods orientation — quant-led but conversant with qualitative methods Cross-cultural research experience strongly preferred; APAC exposure (Japan, Korea, SEA) a significant plus Experience working with consumer tech, mobile, content, or commerce products Track record of research that influenced product or marketing decisions (portfolio or case examples required) Experience managing external research vendors and global panels Assignment Candidates will be required to complete a take-home exercise (~4 hours, one week to return) " Glance collects and processes personal data such as your name, contact details, resume and other information that may contain personal data for the purpose of processing your application. Glance utilizes Greenhouse, a third-party platform. Please review Greenhouse's Privacy Policy to understand how the data collected from you is processed and managed. By clicking on 'Submit Application', you acknowledge and agree to the above privacy terms. Should you have any privacy concerns, you may contact us through the details mentioned in your application confirmation email."