UX Researcher

📍 Job Overview

Job Title: UX Researcher

Company: Glance

Location: Bangalore, Karnataka, India

Job Type: Full-Time

Category: User Experience Research / Consumer Insights

Date Posted: March 23, 2026

Experience Level: Mid-Level (3-5 years)

Remote Status: On-site

🚀 Role Summary

• Drive impactful product and marketing decisions through a blend of qualitative and quantitative user research methodologies.

• Lead and evolve Voice of Consumer programs to establish structured, ongoing feedback loops beyond ad-hoc studies.

• Conduct in-depth behavioral analysis to uncover user decision heuristics and identify distinct user cohorts for targeted strategies.

• Monitor and report on longitudinal shifts in consumer sentiment and behavior to inform long-term strategic planning.

• Translate complex research findings into clear, actionable recommendations for product marketing, marketing teams, and data science.

📝 Enhancement Note: The role is explicitly positioned as "research that gets used," emphasizing a practical, decision-driving approach rather than purely academic or report-centric work. The hybrid qualitative and quantitative focus is a core differentiator.

📈 Primary Responsibilities

• Design and execute mixed-methods research studies, integrating qualitative depth (interviews, ethnography, usability testing) with quantitative rigor (surveys, behavioral data analysis, statistical testing).

• Own and develop Voice of Consumer (VOC) programs, establishing structured feedback loops and systematic data collection beyond reactive, ad-hoc research.

• Conduct detailed behavioral analysis to uncover user decision heuristics, identify key user cohorts, and understand their motivations.

• Track longitudinal shifts in consumer sentiment and behavior over time, providing insights into evolving market dynamics.

• Translate complex research findings into clear, concise, and actionable recommendations presented in plain English for stakeholders across Product Marketing, Marketing, and Data Science.

• Collaborate closely with the Data Science team on user profile intelligence, advanced behavioral segmentation, and predictive modeling.

• Support Product Marketing in developing compelling copy, refining product messaging, and generating insights for product presentations.

• Adapt research methodologies to effectively address cross-cultural contexts for global expansion, with a particular emphasis on APAC and Japan markets.

📝 Enhancement Note: The responsibilities highlight a strategic role involving not just research execution but also program ownership (VOC), cross-functional collaboration (Data Science), and global adaptation, indicating a significant level of autonomy and strategic input.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Psychology, Behavioral Science, Human-Computer Interaction (HCI), Anthropology, Sociology, Statistics, or a related field is typically expected for this level of research role.

Experience: 3-5 years of dedicated experience in user research, consumer insights, or applied behavioral research is required.

Required Skills:

• Demonstrated ability to design and execute mixed-methods studies, seamlessly integrating qualitative methods (e.g., in-depth interviews, ethnography, usability testing) with quantitative approaches (e.g., surveys, behavioral data analysis, statistical testing).

• Proven experience in translating research findings into strategic recommendations that have demonstrably influenced product or marketing decisions.

• Strong command of survey design principles, sampling methodologies, and statistical interpretation for deriving robust insights.

• Ability to thrive in ambiguous environments, proactively identifying and refining research questions before diving into execution.

Preferred Skills:

• Global research exposure, including direct or indirect experience conducting research in international markets or adapting methodologies for cross-cultural contexts (APAC/Japan experience is a significant plus).

• Experience with panel management or the design and execution of longitudinal research programs to track trends over time.

• A background in behavioral science, psychology, or related fields that provide a theoretical foundation for understanding human behavior.

• Familiarity with experiment design principles and the interpretation of A/B test results to validate hypotheses and optimize user experiences.

📝 Enhancement Note: The "Preferred Skills" strongly suggest a focus on global expansion and longitudinal studies, indicating the company's strategic priorities and the ideal candidate's profile for contributing to those areas. The emphasis on behavioral science is also a key differentiator.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 2-3 distinct research projects that clearly demonstrate the integration of both qualitative and quantitative methodologies.

• For each project, detail the research objectives, the methods employed, the challenges encountered, and the specific, actionable recommendations derived.

• Highlight how your research directly influenced a product or marketing decision, ideally with quantifiable outcomes or impact metrics.

• Include examples of survey design, statistical analysis, and the interpretation of quantitative data, alongside qualitative research outputs (e.g., interview summaries, usability findings).

Process Documentation:

• Provide examples of your process for designing mixed-methods studies, from initial problem definition to final reporting.

• Illustrate your approach to developing and managing Voice of Consumer programs, including feedback loops and data synthesis methods.

• Showcase how you analyze and interpret behavioral data to identify user cohorts and decision heuristics.

• Document your strategies for adapting research methodologies for cross-cultural contexts or longitudinal tracking.

📝 Enhancement Note: The explicit request for a "research project where you integrated qual and quant methods to drive a real decision" in the application instructions directly informs the portfolio requirements. This emphasizes practical application and impact over theoretical knowledge.

💵 Compensation & Benefits

Salary Range: For a Mid-Level UX Researcher (3-5 years of experience) in Bangalore, India, with a focus on mixed-methods and consumer insights within an AI/tech company, the estimated annual salary range is ₹1,200,000 - ₹2,000,000 (approximately $14,400 - $24,000 USD, subject to exchange rates). This range accounts for the specialized skills, the company's tech-forward nature, and the cost of living in Bangalore.

Benefits:

• Opportunity to shape consumer understanding for a high-growth AI commerce platform.

• Direct impact on critical product and marketing strategies.

• Exposure to diverse international markets, including the US and Japan, facilitating global research experience.

• A collaborative team culture emphasizing curiosity, craftsmanship, integrity, and challenge without internal politics.

• Standard benefits package likely includes health insurance, paid time off, and professional development opportunities.

Working Hours: The role is likely based on a standard 40-hour work week, common in the tech industry. Given the on-site requirement in Bangalore, typical working hours would be Monday to Friday, with potential for flexibility depending on project needs and team collaboration.

📝 Enhancement Note: Salary estimate is based on current market data for UX Researchers in Bangalore with 3-5 years of experience, considering the tech industry and specialized skill set. Benefits are inferred from the "What We Offer" section and common industry standards.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology, AI Commerce, E-commerce, Digital Advertising. Glance AI operates at the intersection of AI, e-commerce, and consumer technology, leveraging advanced platforms like Google's Gemini and Imagen to create novel shopping experiences.

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 a significant entity within this group, indicating a large, well-resourced organization with a global footprint.

Founded: Glance AI is backed by Google, Jio Platforms, and Mithril Capital, suggesting a strong foundation and significant investment. The InMobi Group was founded in 2007.

Team Structure:

• The UX Researcher will likely be part of a growing research or insights team, potentially within a larger Product or Marketing organization.

• Reporting structure will likely be to a Head of Research, Director of Product, or Head of Marketing, depending on team organization.

Methodology:

• Emphasis on data-driven decision-making, integrating AI and advanced technology platforms (Gemini, Imagen on Vertex AI).

• Focus on inspiration-led discovery and hyper-realistic, personalized shopping experiences.

• Open architecture approach for seamless adoption across various hardware and software ecosystems.

• Utilizes rich first-party data and global scale for high-impact, performance-driven shopping journeys.

Company Website: glance.com

📝 Enhancement Note: The description highlights a strong technological foundation and a unique "inspiration-led shopping" model, differentiating it from traditional e-commerce. The affiliation with InMobi Group and major tech investors (Google, Jio) suggests a dynamic, well-funded, and globally ambitious environment.

📈 Career & Growth Analysis

Operations Career Level: This is a Mid-Level UX Researcher role, requiring 3-5 years of experience. It signifies a transition from executing research tasks to owning research programs, driving strategic insights, and influencing key business decisions. The role demands a blend of research craft and strategic thinking.

Reporting Structure: The UX Researcher will likely report to a senior leader within Product, Marketing, or a dedicated Research function. Collaboration will be extensive with cross-functional teams, including Data Science, Product Marketing, and Marketing.

Operations Impact: The role has a direct impact on shaping the user experience and driving the adoption of Glance AI's unique inspiration-led shopping model. By providing deep consumer understanding, the researcher influences product development, marketing messaging, and overall go-to-market strategy, ultimately contributing to user engagement, conversion rates, and revenue growth.

Growth Opportunities:

• Specialization: Opportunity to deepen expertise in mixed-methods research, behavioral science, or cross-cultural research, particularly within the APAC and Japan markets.

• Leadership: Potential to lead larger research initiatives, mentor junior researchers, and contribute to the strategic direction of the user insights function as the company grows.

• Skill Development: Exposure to cutting-edge AI commerce platforms, advanced AI models (Gemini, Imagen), and global market dynamics provides continuous learning opportunities.

• Cross-functional Advancement: Experience in influencing product and marketing strategy can open doors to roles in Product Management, Product Marketing, or broader GTM strategy roles.

📝 Enhancement Note: The growth opportunities are framed around specialization in key areas (global research, behavioral science) and potential leadership progression, aligning with the company's global ambitions and the role's strategic importance.

🌐 Work Environment

Office Type: The role is designated as "On-site," indicating a traditional office-based work environment. This suggests a collaborative physical workspace designed for team interaction and in-person brainstorming.

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

Workspace Context:

• Expect a dynamic, fast-paced environment typical of a high-growth tech company and part of a larger global organization.

• The workspace will likely foster collaboration, with opportunities for spontaneous discussions and team problem-solving.

• Access to cutting-edge technology, including AI platforms and data analytics tools, will be integral to the research process.

• The environment encourages a culture of curiosity, continuous learning, and a focus on business impact.

Work Schedule: Standard full-time hours (approximately 40 hours per week) are expected, Monday through Friday. While on-site, there might be some flexibility for project-specific needs, but the core expectation is consistent office presence.

📝 Enhancement Note: The "On-site" designation is crucial. It implies a preference for in-person collaboration, which can be beneficial for certain types of qualitative research and team synergy, but may be a consideration for candidates seeking remote flexibility.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will likely review your resume and the brief note explaining your integrated qual/quant project.

• Hiring Manager Interview: A discussion focusing on your experience, research philosophy, and specific examples of mixed-methods studies, behavioral analysis, and driving decisions.

• Skills Assessment/Case Study: You may be asked to present a past research project in detail, or work on a hypothetical research challenge that requires you to outline your approach using mixed methods. This will assess your ability to translate findings into actionable insights.

• Cross-functional Interviews: Interviews with stakeholders (e.g., Product Marketing, Data Science) to assess collaboration style, communication effectiveness, and understanding of business needs.

• Final Interview: Potentially with a senior leader to discuss strategic alignment and cultural fit.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 projects that best showcase your ability to integrate qualitative and quantitative methods and demonstrate tangible impact.

• Structure for Impact: For each project, clearly articulate the business problem, your research objectives, the mixed-methods approach, key findings (integrating qual and quant insights), and the resulting actionable recommendations.

• Quantify Impact: Wherever possible, highlight the business outcomes or decisions influenced by your research. Use metrics to demonstrate ROI.

• Highlight Global/Cross-Cultural Aspects: If applicable, emphasize any experience with international markets or adapting methodologies for diverse cultural contexts.

• Be Prepared to Discuss: Be ready to discuss your process, rationale for methodological choices, and how you navigated challenges.

Challenge Preparation:

• Think Mixed-Methods: Anticipate scenarios where you'd need to combine data sources and approaches.

• Focus on Actionability: Prepare to explain how your insights translate into concrete steps for product or marketing teams.

• Understand the Business: Research Glance AI's business model, target audience, and unique "inspiration-led shopping" approach. Consider how user research can support these goals.

• Articulate Your "Why": Be ready to explain your research philosophy and why you believe in the power of integrated qualitative and quantitative approaches.

📝 Enhancement Note: The application instructions specifically ask for a note on a mixed-methods project, making portfolio preparation and the initial application step critical. The interview process is likely to heavily weigh practical application and strategic influence.

🛠 Tools & Technology Stack

Primary Tools:

• Qualitative Research Tools: Tools for conducting and analyzing interviews, focus groups, and usability tests (e.g., UserTesting.com, Lookback, Dovetail, Maze).

• Quantitative Research Tools: Survey platforms (e.g., SurveyMonkey, Qualtrics, Google Forms), statistical analysis software (e.g., SPSS, R, Python libraries like Pandas/SciPy), and potentially A/B testing platforms.

• Collaboration Tools: Project management software (e.g., Jira, Asana), communication platforms (e.g., Slack, Microsoft Teams), and documentation tools (e.g., Confluence, Google Workspace).

Analytics & Reporting:

• Data Visualization Tools: Tableau, Power BI, or similar tools for creating dashboards and reports to communicate findings effectively.

• Behavioral Data Analysis: Experience with tools that track user behavior within applications or on websites (e.g., Amplitude, Mixpanel, Google Analytics).

• AI/ML Platforms: Familiarity with how user insights integrate with platforms like Google's Gemini and Imagen on Vertex AI would be beneficial.

CRM & Automation:

• While not directly managing CRM systems, understanding how user insights inform CRM strategies and marketing automation workflows is valuable. Familiarity with Salesforce, HubSpot, or similar platforms at a user-level can be a plus.

📝 Enhancement Note: The mention of Google's AI platforms (Gemini, Imagen on Vertex AI) suggests that familiarity with how user insights can feed into or be informed by AI models is a desirable trait, even if not a direct requirement for using these tools.

👥 Team Culture & Values

Operations Values:

• Curiosity: A genuine drive to understand human behavior, making research feel like play rather than work.

• Integrity: Stating findings objectively ("say what the data says, not what they want to hear"), prioritizing truth over consensus.

• Simplicity: Ability to explain complex findings clearly and concisely, demonstrating true understanding.

• Thoroughness: Conducting comprehensive research ("do the homework others skip") to achieve a 360-degree understanding before drawing conclusions.

• Proactiveness & Solutions-Oriented: Raising concerns early and clearly, always accompanied by potential solutions.

• Impact-Driven: Prioritizing research that delivers business impact and practical effort, not research for its own sake.

Collaboration Style:

• Cross-functional Integration: Works closely with Product Marketing, Marketing, and Data Science, requiring strong communication and partnership skills.

• Feedback Exchange: Open to providing and receiving constructive feedback to refine research approaches and insights.

• Knowledge Sharing: Likely involves sharing research findings and methodologies across teams to foster a data-informed culture.

• Efficiency Focus: Collaborates to ensure research efforts are aligned with business priorities and deliver tangible value.

📝 Enhancement Note: The "Who Thrives Here" section is a goldmine for understanding the company's desired culture. It paints a picture of a pragmatic, intellectually honest, and impact-focused team.

⚡ Challenges & Growth Opportunities

Challenges:

• Bridging Qual & Quant: Effectively synthesizing insights from disparate qualitative and quantitative data sources can be challenging.

• Driving Action: Ensuring research findings are not just reported but actively adopted and acted upon by product and marketing teams requires strong influence and communication skills.

• Global Adaptation: Adapting research methodologies and interpreting findings across diverse cultural contexts (especially APAC/Japan) demands sensitivity and expertise.

• Ambiguity Management: Navigating unclear research objectives and complex business problems requires resilience and strategic thinking.

• Measuring Impact: Quantifying the precise business impact of research initiatives can be difficult but is crucial for demonstrating value.

Learning & Development Opportunities:

• Advanced Methodologies: Opportunity to hone skills in mixed-methods research, behavioral science, and longitudinal tracking.

• Global Exposure: Gain invaluable experience in international market research, understanding diverse consumer behaviors and cultural nuances.

• AI Commerce Domain: Develop expertise in the rapidly evolving AI commerce landscape and its implications for user behavior.

• Strategic Influence: Grow in ability to influence product strategy, marketing campaigns, and business decisions through data-driven insights.

• Mentorship: Potential to learn from experienced leaders within the company and the broader InMobi Group.

📝 Enhancement Note: The challenges highlight areas where a candidate can demonstrate their problem-solving skills and strategic thinking, while the growth opportunities point towards career development paths within the company.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you successfully integrated qualitative and quantitative research to solve a complex problem. What were the challenges, and how did you overcome them?" (Focus on your process, data synthesis, and actionable outcomes.)

• "How would you approach understanding user decision heuristics for our 'inspiration-led shopping' model? What methods would you prioritize, and why?" (Demonstrate your understanding of the company's core proposition and relevant research techniques.)

Company & Culture Questions:

• "Based on your research into Glance AI, what do you see as the biggest user research opportunity or challenge for our platform?" (Showcase your understanding of the company and its market.)

• "How do you ensure your research is objective and not influenced by stakeholder expectations or personal biases?" (Address the "say what the data says" value.)

Portfolio Presentation Strategy:

• Craft a Narrative: Structure your portfolio presentation around a compelling story for each key project, emphasizing the problem, your approach, the insights, and the impact.

• Visual Storytelling: Use clear, concise visuals (charts, graphs, key quotes) to illustrate your findings and recommendations. Avoid overwhelming slides with text.

• Focus on Integration: Explicitly call out how you combined qual and quant data, and what unique insights this integration provided.

• Quantify Impact: Be ready to discuss the measurable results of your research on product or marketing decisions.

• Be Prepared for Q&A: Anticipate questions about your methodology, data interpretation, and how you would apply your learnings to Glance AI's specific context.

📝 Enhancement Note: The interview preparation advice is tailored to the specific requirements and cultural values highlighted in the job description, emphasizing the need for practical, impact-driven research communication.

📌 Application Steps

To apply for this UX Researcher position:

• Submit your application through the provided link on Greenhouse.

• Tailor Your Resume: Highlight keywords related to mixed-methods research, behavioral analysis, consumer insights, quantitative analysis, qualitative research, and experience driving product/marketing decisions. Quantify achievements where possible.

• Craft Your Note: Prepare a concise but impactful note (as requested) detailing a specific research project where you integrated qualitative and quantitative methods to drive a real business decision. Clearly articulate the problem, your approach, the outcome, and the impact.

• Prepare Your Portfolio: Curate your portfolio to showcase 2-3 strong examples of mixed-methods research projects, emphasizing actionable insights and demonstrable business impact. Be ready to discuss these in detail.

• Research Glance AI: Thoroughly understand Glance AI's business model, its "inspiration-led shopping" concept, target audience, and recent developments. Consider how your research skills can contribute to their unique value proposition.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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