Consumer Insights

Glance is an intelligent shopping agent, redefining the commerce experience. Powered by proprietary agentic intelligence and generative AI, Glance delivers a hyper-personalized consumer experience across mobile and TV — shaping the new era of shopping. Glance is operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of global technology leader InMobi, and is backed by Mithril Capital, Google and Jio Platforms. To learn more, visit glance.com.

InMobi Group is a global technology company shaping the future of agentic commerce and advertising. Through its ecosystem of businesses — including InMobi Advertising and flagship consumer platform Glance — InMobi leverages data, machine learning, and generative AI to help brands reach audiences more precisely and consumers discover products more intuitively. Glance, which is pioneering new models of agentic commerce, is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd.

InMobi Advertising, part of global technology company InMobi, is an agentic advertising platform helping brands and merchants achieve their business outcomes. Through its proprietary intelligence, AI-led solutions, and vast consumer reach — including flagship consumer platform Glance — InMobi Advertising delivers the omnichannel performance defining what's next in advertising and commerce. Glance is owned and operated by Glance InMobi Pte. Ltd., a non-consolidated subsidiary of InMobi Pte. Ltd. To learn more, visit advertising.inmobi.com.

Good catch. Here's a revised JD with a proper company section up top:

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.

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

• 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

Candidates will be required to complete a take-home exercise (~4 hours, one week to return)