UX Researcher

📍 Job Overview

Job Title: UX Researcher

Company: Glance

Location: Bangalore, India

Job Type: Full-time

Category: Consumer Insights / Market Research

Date Posted: April 20, 2026

Experience Level: Mid-Level (3-6 years)

Remote Status: On-site

🚀 Role Summary

• Spearhead quantitative consumer research initiatives to understand user behavior, preferences, and market trends within the AI commerce and inspiration-led shopping space.

• Develop and maintain robust behavioral segmentation frameworks and cohort profiles, collaborating closely with Data Science to drive user understanding at scale.

• Translate complex quantitative data and survey findings into clear, actionable insights that directly inform product roadmaps, growth strategies, and marketing initiatives.

• Own and manage the Voice of Consumer program, ensuring structured feedback loops, sentiment tracking, and monitoring of behavioral shifts across a massive user base.

📝 Enhancement Note: This role is positioned within an "Foresight & Behavioral Insights Unit," indicating a strategic focus on leveraging user intelligence as a competitive advantage. The emphasis on quantitative research, segmentation, and direct impact on product/growth suggests a critical role in shaping Glance's AI commerce platform.

📈 Primary Responsibilities

• Design, execute, and analyze quantitative consumer research studies, including surveys, panel studies, in-app intercepts, and longitudinal tracking programs.

• Develop and refine survey instruments and methodologies to ensure both speed and rigor in data collection.

• Build and maintain dynamic behavioral segmentation frameworks and cohort profiles, identifying key decision heuristics, usage patterns, and attitudinal clusters.

• Generate hypotheses for the Data Science team based on qualitative signals and quantitative survey data.

• Translate complex behavioral data into clear, concise, and actionable recommendations for Growth, Leadership, Product, and Marketing teams.

• Provide crucial consumer context for growth initiatives, A/B test design, and investigations into conversion funnels or user drop-offs.

• Brief Business Development (BD) and Account Management teams on user insights to support OEM and partner conversations.

• Manage relationships with external research panel vendors and participant recruitment pipelines, ensuring quality standards and data integrity.

📝 Enhancement Note: The responsibilities highlight a blend of hands-on research execution, strategic analysis, and cross-functional enablement. The emphasis on "Voice of Consumer" and direct influence on "product roadmaps and marketing strategy" underscores the strategic importance of this role within Glance.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in a quantitative field such as Psychology, Sociology, Statistics, Economics, Market Research, or a related discipline is typically expected for this level of role.

Experience: 3–6 years of experience in consumer or market research, with a strong emphasis on quantitative methodologies.

Required Skills:

• Proven ability to design, field, and analyze quantitative consumer studies end-to-end (surveys, panels, behavioral data).

• Expertise in developing and maintaining consumer segmentation frameworks and cohort-based analysis.

• Strong analytical skills with the ability to identify decision heuristics, usage patterns, and attitudinal clusters.

• Experience managing external research vendors or panel providers, ensuring quality and data integrity.

• Excellent written communication skills, with the ability to synthesize complex datasets into clear, actionable one-page briefs for non-researcher audiences.

• Demonstrated comfort and experience working cross-functionally, having presented findings to Growth, Product, or Leadership teams and influenced decisions.

• Proficiency in survey design and instrument development, balancing speed and methodological rigor.

Preferred Skills:

• Experience adapting research methodologies for cross-cultural or international markets.

• Global panel management experience, including recruiting and managing multi-country participant panels.

• Exposure to qualitative research methods (e.g., In-depth Interviews, diary studies, focus groups) and understanding when to apply them.

• Background in consumer technology, mobile products, or digital platforms.

• Familiarity with behavioral economics frameworks or decision heuristics research.

📝 Enhancement Note: The experience requirement (3-6 years) combined with the responsibilities suggests a mid-level to senior individual contributor role. The emphasis on quantitative skills is paramount, but a foundational understanding of qualitative methods and international markets is a significant plus.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate end-to-end quantitative research projects, showcasing study design, methodology, execution, and analysis.

• Include examples of behavioral segmentation frameworks, cohort profiling, or user journey mapping derived from quantitative data.

• Showcase reports or presentations that translated complex data into clear, actionable recommendations for business stakeholders.

• Highlight experience in managing research vendors or panel providers, including any processes established for quality control.

Process Documentation:

• Illustrate your process for designing quantitative studies, from defining objectives to selecting methodologies and building instruments.

• Detail your approach to analyzing quantitative data, including statistical techniques and segmentation methods used.

• Showcase your process for communicating research findings to diverse audiences, emphasizing clarity and actionability.

• Describe your methods for managing vendor relationships and ensuring the quality and ethical conduct of research.

📝 Enhancement Note: Given the role's focus on quantitative research and actionable insights, a portfolio demonstrating tangible impact and clear communication of complex data will be crucial. Candidates should be prepared to walk through their process for research design, analysis, and stakeholder enablement.

💵 Compensation & Benefits

Salary Range: For a UX Researcher/Consumer Insights Lead with 3-6 years of experience in Bangalore, India, the estimated annual salary range is typically between ₹12,00,000 and ₹20,00,000 (approximately $14,500 - $24,000 USD at current exchange rates). This range can vary based on the specific company's compensation philosophy, the candidate's exact experience, and negotiation.

Benefits:

• Comprehensive health insurance (medical, dental, vision).

• Retirement savings plans (e.g., Provident Fund contributions).

• Paid time off (vacation, sick leave, public holidays).

• Opportunities for professional development, training, and attending industry conferences.

• Potential for performance-based bonuses or stock options, depending on company policy.

• Access to cutting-edge AI and e-commerce technology.

• Employee assistance programs.

Working Hours: Typically a standard 40-hour work week, Monday to Friday, with flexibility often provided to accommodate research timelines and cross-functional collaboration needs. Some evening or weekend work may occasionally be required for specific study phases or urgent insights delivery, but this is usually balanced with compensatory time off.

📝 Enhancement Note: Salary estimates are based on market data for similar roles in Bangalore, India, considering the specified experience level and the tech/e-commerce industry. Benefits are standard for tech companies in India but should be confirmed directly with Glance. The "hundreds of millions" user base suggests a significant impact role, which may command competitive compensation.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, AI Commerce, E-commerce, Digital Platforms. Glance AI operates at the intersection of AI, e-commerce, and consumer technology, transforming screens into inspiration-led shopping experiences. Their proprietary models, integrated with Google's AI platforms, aim to deliver hyper-personalized shopping.

Company Size: Part of the InMobi Group, a global technology and advertising leader reaching over 2 billion devices and serving more than 30,000 enterprise brands. Glance AI itself is likely a significant entity within this group, indicating a large, dynamic, and well-resourced organization.

Founded: Glance AI is backed by Google, Jio Platforms, and Mithril Capital, suggesting strong financial backing and strategic partnerships. The InMobi Group was founded in 2007.

Team Structure:

• The role sits within the "Foresight & Behavioral Insights Unit," which spans consumer understanding, market intelligence, experimentation, and Voice of Consumer programs.

• This unit works closely with Product, Growth, Marketing, and Data Science teams, indicating a highly collaborative and data-driven environment.

Methodology:

• Emphasis on data-driven decision-making, leveraging quantitative research, behavioral data, and AI platforms (Gemini, Imagen on Vertex AI).

• Focus on understanding consumer behavior at scale (hundreds of millions of users) to drive product innovation and market strategy.

• A blend of strategic insight generation and practical application, ensuring research outputs directly impact business outcomes and product roadmaps.

Company Website: https://glance.com/ (Note: This is a general Glance website; specific AI commerce platform details might be integrated or separate)

📝 Enhancement Note: Glance aims to be a leader in "inspiration-led shopping," a novel e-commerce approach. This suggests a culture that values innovation, rapid iteration, and a deep understanding of evolving consumer behavior, especially in global markets. The company's connection to InMobi and major tech players signifies a robust operational framework and ambitious growth plans.

📈 Career & Growth Analysis

Operations Career Level: This role is classified as a mid-level to senior individual contributor position within the "Foresight & Behavioral Insights Unit." It requires independent ownership of quantitative research projects and a strong ability to influence strategic decisions. It is a step towards potentially leading research initiatives or specializing further in consumer behavior modeling and segmentation.

Reporting Structure: The Consumer Insights Lead will likely report to a Director or Head of Foresight & Behavioral Insights. They will work closely with peers in Data Science, Product Management, Growth Marketing, and potentially other research functions (e.g., qualitative researchers, market intelligence analysts).

Operations Impact: The insights generated by this role directly influence key business areas:

• Product Development: Informing feature prioritization, user experience design, and new product ideation based on deep user understanding.

• Growth Strategies: Identifying target segments, understanding conversion drivers and drop-off points, and optimizing user acquisition and retention efforts.

• Marketing & Brand Strategy: Providing foundational consumer understanding for campaigns, messaging, and market positioning.

• Partnerships: Equipping BD and Account Management with user voice to support negotiations with OEMs and brands.

Growth Opportunities:

• Specialization: Deepen expertise in quantitative methodologies, segmentation techniques, or specific areas like behavioral economics.

• Leadership: Potential to lead research projects, mentor junior researchers, or eventually move into a management role within the insights function as the unit scales.

• Cross-functional Exposure: Gain deeper understanding of product development, growth hacking, and marketing strategy by working closely with these teams.

• Industry Impact: Contribute to shaping the future of AI-driven, inspiration-led e-commerce at a global scale.

• Learning: Opportunities to work with advanced AI platforms and large-scale datasets, fostering continuous learning in a rapidly evolving tech landscape.

📝 Enhancement Note: The role is positioned as a strategic differentiator, not merely a support function. This implies significant visibility and the potential for substantial career growth within Glance, especially as the unit expands and the company scales its global operations.

🌐 Work Environment

Office Type: Glance operates within the dynamic tech industry, suggesting a modern, collaborative office environment. Given the "On-site" designation, expect a workspace designed to foster teamwork, innovation, and direct interaction with colleagues.

Office Location(s): Bangalore, Karnataka, India. This is a major tech hub in India, offering access to talent, resources, and a vibrant ecosystem.

Workspace Context:

• Collaborative Spaces: Likely includes open-plan areas, meeting rooms, and breakout zones to facilitate brainstorming and cross-functional discussions.

• Technology-Rich Environment: Access to powerful computing resources, relevant software, and robust network infrastructure to support data analysis and research execution.

• Team Interaction: Frequent opportunities to engage with Data Scientists, Product Managers, Growth Marketers, and other members of the Foresight & Behavioral Insights Unit.

• Focus Areas: Dedicated spaces for concentrated work, data analysis, and report writing will also be available.

Work Schedule: While generally a standard 5-day work week, the nature of research and product development often requires a degree of flexibility. Expect a results-oriented environment where meeting critical deadlines for insights delivery is prioritized, potentially leading to occasional adjusted hours.

📝 Enhancement Note: The on-site requirement in Bangalore suggests a company that values in-person collaboration and the synergy that comes from co-located teams, especially for roles that require deep integration with product and data science functions.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will likely review your resume and conduct a brief call to assess basic qualifications, experience, and cultural fit.

• Hiring Manager Interview: A deeper dive into your experience with quantitative research design, analysis, segmentation, and stakeholder management. Expect behavioral questions focusing on past projects and problem-solving approaches.

• Technical/Case Study Interview: This is a critical stage. You may be asked to present a past research project from your portfolio or tackle a hypothetical research challenge relevant to Glance's business. This assesses your research methodology, analytical skills, and ability to translate data into actionable insights.

• Cross-functional Interviews: Meetings with key stakeholders from Product, Growth, or Data Science to evaluate your collaboration style, communication effectiveness, and understanding of their needs.

• Final Interview: Potentially with a senior leader (e.g., Head of Insights, VP of Product) to discuss strategic thinking, long-term vision, and overall fit within the company.

Portfolio Review Tips:

• Highlight Impact: Focus on case studies where your research led to tangible business outcomes, product changes, or strategic shifts. Quantify impact where possible (e.g., "led to X% increase in conversion," "informed a strategy that impacted Y million users").

• Showcase Process: Clearly articulate your research process from problem definition to insight delivery. Explain the "why" behind your methodological choices.

• Demonstrate Clarity: Ensure your presentations and reports are visually appealing, easy to understand, and tailored to a non-research audience. Use clear charts, concise language, and executive summaries.

• Segmentation Examples: Include examples of segmentation frameworks you've built or contributed to, explaining the rationale and how they were used.

• Quantitative Rigor: Be prepared to discuss the statistical methods you employed, your approach to data cleaning, and how you ensured the validity and reliability of your findings.

Challenge Preparation:

• Understand Glance: Research Glance's AI commerce platform, its target audience, and its unique value proposition (inspiration-led shopping). Understand its position in the market and its competitive landscape.

• Anticipate Research Questions: Consider potential research questions related to user engagement, feature adoption, market expansion, or consumer behavior in AI-driven commerce.

• Prepare a Case Study: Select a strong research project from your portfolio that best showcases your skills in quantitative research, segmentation, and delivering actionable insights. Structure it with a clear problem statement, methodology, key findings, and recommended actions.

• Practice Communication: Rehearse explaining your work clearly and concisely, anticipating questions about your methodology, data interpretation, and the impact of your findings.

📝 Enhancement Note: The emphasis on quantitative research, segmentation, and influencing decisions suggests that the interview process will heavily scrutinize your ability to handle complex data, derive strategic insights, and communicate them effectively to drive business outcomes. A well-prepared portfolio is essential.

🛠 Tools & Technology Stack

Primary Tools:

• Survey Platforms: Qualtrics, SurveyMonkey, Typeform, or similar tools for designing, distributing, and collecting survey data.

• Statistical Analysis Software: SPSS, R, Python (with libraries like Pandas, NumPy, SciPy), or other statistical packages for data analysis and modeling.

• Data Visualization Tools: Tableau, Power BI, Looker, or similar tools for creating dashboards and presenting data visually.

Analytics & Reporting:

• Behavioral Analytics Tools: Tools like Mixpanel, Amplitude, or internal product analytics platforms to track user behavior within the app/platform.

• Data Warehousing/Databases: Experience interacting with data warehouses (e.g., Snowflake, BigQuery) or databases (SQL) to extract and analyze user data.

• Reporting Frameworks: Ability to structure and deliver regular reports on consumer insights, segmentation performance, and Voice of Consumer metrics.

CRM & Automation:

• While not directly managing CRM, understanding how CRM data integrates with research findings might be beneficial.

• Familiarity with any internal tools or platforms used for managing customer feedback or panel data.

• Experience working with Data Science teams who leverage AI platforms like Google's Gemini and Imagen on Vertex AI, understanding how research insights can complement AI-driven personalization.

📝 Enhancement Note: Proficiency in quantitative research tools and statistical analysis is core. Experience with data visualization and an understanding of how to integrate research findings with product analytics and AI platforms will be highly advantageous, reflecting Glance's tech-forward approach.

👥 Team Culture & Values

Operations Values:

• Data-Driven: A strong emphasis on using data (quantitative and behavioral) to understand users and make informed decisions.

• Customer-Centric: A deep commitment to understanding and serving the user, with consumer insights being a strategic differentiator.

• Innovation: Fostering a culture of experimentation and pushing boundaries in AI commerce and inspiration-led shopping.

• Collaboration: Working effectively across diverse teams (Product, Growth, Data Science, Marketing) to achieve shared goals.

• Impact-Oriented: Focusing on delivering insights that drive measurable business outcomes and directly influence product roadmaps and strategies.

Collaboration Style:

• Cross-functional Integration: Expect a highly collaborative environment where researchers work hand-in-hand with Data Science, Product, and Growth teams. Regular sync-ups, joint working sessions, and shared project ownership are likely common.

• Insight Enablement: A proactive approach to sharing findings and empowering other teams with consumer understanding, rather than operating in isolation.

• Feedback Loops: Openness to feedback on research methodologies, findings, and communication style to ensure maximum relevance and impact.

• Agile Mindset: Adapting to changing business needs and research priorities, often working within agile development cycles.

📝 Enhancement Note: The company's positioning as an "AI commerce platform shaping the next wave" suggests a culture that values forward-thinking, rapid execution, and a deep understanding of evolving consumer desires, all powered by robust data and insights.

⚡ Challenges & Growth Opportunities

Challenges:

• Scale of Data: Managing and deriving insights from the behavior of hundreds of millions of users requires robust analytical skills and scalable research methodologies.

• Rapidly Evolving Market: The AI commerce and inspiration-led shopping space is dynamic, requiring continuous learning and adaptation of research approaches.

• Translating Complex Data: Effectively communicating intricate quantitative findings and behavioral nuances to diverse stakeholders who may not have a research background.

• Balancing Speed & Rigor: Delivering insights quickly enough to impact fast-paced product and growth cycles while maintaining methodological soundness.

• Cross-Cultural Nuances: Adapting research and insights for a global user base operating in 140 countries, understanding cultural differences in behavior and preferences.

Learning & Development Opportunities:

• Advanced Analytics: Deepen skills in statistical modeling, segmentation, predictive analytics, and working with large datasets.

• AI & Tech Exposure: Gain hands-on experience with cutting-edge AI platforms (Gemini, Imagen) and understand how research complements AI-driven personalization.

• Strategic Impact: Develop expertise in translating consumer insights into actionable product and business strategies that have a significant global impact.

• Cross-functional Expertise: Broaden understanding of product management, growth marketing, and business development through close collaboration.

• Industry Trends: Stay at the forefront of e-commerce, AI, and consumer behavior research by working on innovative projects and potentially attending industry events.

📝 Enhancement Note: The role offers significant opportunities to tackle complex, large-scale challenges in a rapidly evolving industry, with ample room for professional growth and skill development in advanced analytics and strategic decision-making.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you designed and executed a complex quantitative study from scratch. What were the objectives, methodology, key findings, and business impact?"

• "How do you approach building a behavioral segmentation framework? Walk us through your process and how you've validated segments in the past."

• "Imagine we're seeing a drop-off in our checkout funnel. How would you use quantitative research to diagnose the problem and recommend solutions?"

• "How do you ensure your research findings are actionable and understood by stakeholders who aren't researchers, such as Product Managers or Growth Marketers?"

Company & Culture Questions:

• "What interests you about Glance's AI commerce platform and the concept of inspiration-led shopping?"

• "How do you see consumer insights playing a strategic role in a company like Glance, especially with its global reach?"

• "Describe your experience working cross-functionally. How do you build relationships and influence decisions with teams like Product or Data Science?"

• "How do you stay updated on consumer behavior trends, particularly in the tech and e-commerce space?"

Portfolio Presentation Strategy:

• Structure: For each case study, clearly outline: Problem/Objective, Your Role, Methodology, Key Findings, Recommendations, and Impact.

• Quantify: Use numbers and data points to illustrate the scale of your work and the impact of your insights.

• Visualize: Use clear, well-designed charts and graphs. Avoid overly complex visuals that are hard to interpret quickly.

• Narrative: Tell a compelling story about how your research solved a problem or created an opportunity.

• Conciseness: Be prepared to present a summary within a set timeframe (e.g., 15-20 minutes) and then dive deeper into specifics during Q&A. Focus on the most impactful aspects.

📝 Enhancement Note: Preparation should focus on demonstrating a strong command of quantitative research methodologies, the ability to translate complex data into strategic recommendations, and a collaborative approach to influencing product and business decisions within a fast-paced, data-driven environment.

📌 Application Steps

To apply for this UX Researcher position:

• Submit your application through the Greenhouse portal via the provided link.

• Curate Your Portfolio: Select 2-3 of your most impactful quantitative research projects. Ensure they clearly demonstrate your end-to-end research process, segmentation skills, and ability to drive business outcomes. Prepare concise summaries and visuals for each.

• Tailor Your Resume: Highlight keywords and responsibilities from the job description, such as "quantitative research," "behavioral segmentation," "survey design," "Voice of Consumer," "stakeholder enablement," and experience with large user bases or global markets. Quantify achievements wherever possible.

• Prepare Your Presentation: Practice walking through your selected portfolio case studies. Anticipate questions about your methodology, data interpretation, and the strategic implications of your findings. Be ready to discuss how your work aligns with Glance's mission.

• Research Glance: Understand their AI commerce platform, their unique "inspiration-led shopping" approach, their global presence (140 countries), and their key partners (Google, Jio, Mithril). Familiarize yourself with their competitive landscape.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and industry-standard assumptions. While every effort has been made to reflect the role accurately based on the provided information, candidates should verify specific details about responsibilities, compensation, benefits, and the interview process directly with Glance.