UX Researcher

📍 Job Overview

Job Title: UX Researcher

Company: Maker Lab

Location: Bengaluru, Karnataka, India

Job Type: Full-Time

Category: User Experience Research / GTM Operations

Date Posted: 2026-05-21

Experience Level: Mid-Senior Level (5-10 years)

Remote Status: Hybrid

🚀 Role Summary

• Drive foundational and generative UX research initiatives across the APAC region to inform and shape product strategy.

• Translate complex user needs and human behavior insights into actionable recommendations for voice-first experiences and localized AI-driven tools.

• Execute end-to-end research projects, from participant recruitment and moderation to data synthesis and reporting, ensuring alignment with regional and global marketing and product objectives.

• Partner directly with the Lead UX Researcher to manage operational logistics, vendor relationships, and ensure compliance with data privacy regulations.

📝 Enhancement Note: While the core role is UX Research, the emphasis on regional strategy, cross-functional alignment with marketing and product, and the specific focus on AI and voice-first technology positions this role within a broader GTM Operations context. The need to translate user insights into actionable product pivots and collaborate with marketing leadership suggests a strong link to Go-To-Market strategy execution.

📈 Primary Responsibilities

• Lead and execute 2-3 foundational research projects per quarter across key APAC markets (Japan, India, South Korea), managing the entire research lifecycle.

• Conduct qualitative research methodologies, including contextual inquiry, in-depth behavioral interviews, and concept testing, with a solid understanding of quantitative principles for survey design and data analysis.

• Synthesize research findings into compelling reports and presentations for Marketing leadership, identifying key tactical takeaways and strategic product recommendations.

• Oversee research logistics, including participant recruitment and vendor management, ensuring adherence to internal data privacy policies and research standards.

• Collaborate closely with the Lead UX Researcher to align regional research objectives with broader marketing and product development goals.

• Apply expertise in human-AI interaction, Natural Language Processing (NLP) interfaces, and multi-modal generative technology to research projects.

• Demonstrate deep sensitivity to linguistic nuances and cultural variations in technology and AI adoption across diverse APAC markets.

📝 Enhancement Note: The responsibilities highlight a blend of independent project leadership and strategic partnership, typical of a mid-to-senior level operations role. The emphasis on end-to-end project execution and stakeholder reporting indicates a need for strong operational management and communication skills beyond pure research.

🎓 Skills & Qualifications

Education: Bachelor's degree in a relevant field (e.g., Human-Computer Interaction, Psychology, Anthropology, Sociology, Computer Science) or equivalent practical experience.

Experience: 7+ years of dedicated experience in User Experience (UX) Research.

Required Skills:

• Deep proficiency in qualitative research methods: contextual inquiry, 1:1 behavioral interviews, usability testing, and concept testing.

• Strong foundational understanding of quantitative research principles: survey design, structured data analysis, and statistical interpretation.

• Proven ability to manage the end-to-end lifecycle of research projects, from planning and recruitment to synthesis and reporting.

• Hands-on experience researching human-AI interaction, Natural Language Processing (NLP) interfaces, or multi-modal generative technologies.

• Demonstrated experience conducting field research across diverse APAC markets (Japan, India, South Korea), with a keen understanding of cultural and linguistic nuances.

• Exceptional verbal and written English communication skills, coupled with strong presentation abilities for stakeholder reporting.

Preferred Skills:

• Experience with advanced statistical analysis tools and methodologies.

• Familiarity with A/B testing and experimentation design for product optimization.

• Knowledge of data visualization tools for presenting complex research findings.

• Experience working within a marketing agency or technology-focused client environment.

• Understanding of agile development methodologies and how UX research integrates into them.

📝 Enhancement Note: The requirement for 7+ years of experience and the ability to work "seamlessly under the guidance of a strategic Lead while maintaining operational independence" suggests this role is for a seasoned professional capable of autonomous execution within a structured team. The specific mention of AI, NLP, and multi-modal generative technology indicates a specialized focus within UX research.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase 2-3 distinct end-to-end research projects, ideally from diverse APAC markets, demonstrating a range of methodologies.

• Clearly articulate the research problem, your role, the methodologies employed, and the project's scope.

• Highlight the synthesis of complex qualitative and quantitative data into actionable insights.

• Present the strategic impact of your research on product direction and business outcomes, focusing on user needs translation.

Process Documentation:

• Provide examples of your research plans, discussion guides, and synthesis frameworks.

• Illustrate how you manage research logistics, including participant recruitment and vendor coordination.

• Showcase your approach to translating raw data into clear, concise, and impactful stakeholder reports.

• Detail your understanding and application of data privacy regulations relevant to research in the APAC region.

📝 Enhancement Note: For a UX Researcher role with this level of experience, a portfolio is critical. The emphasis on APAC markets and specific technologies (AI, NLP) means the portfolio should ideally reflect this expertise. The "process documentation" aspect implies a need to demonstrate not just findings, but the rigorous and organized approach to research operations.

💵 Compensation & Benefits

Salary Range: ₹2,000,000 - ₹3,500,000 per annum (INR)

Explanation for Salary Estimate:

Based on industry benchmarks for experienced UX Researchers (7+ years) in Bengaluru, India, specializing in AI/NLP and APAC markets. This range accounts for the specific technical expertise, regional scope, and the hybrid work model. The lower end reflects strong foundational skills, while the higher end accommodates extensive experience with advanced technologies and a proven track record of strategic impact. Research conducted using Glassdoor, LinkedIn Salary, and local recruitment agency reports for UX Research roles in major Indian tech hubs.

Benefits:

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

• Paid Time Off (PTO) including vacation days, sick leave, and public holidays.

• Professional development opportunities, including access to training, conferences, and certifications in UX research and AI.

• Hybrid work model providing flexibility and work-life balance.

• Opportunities for international travel for field research within the APAC region.

• Contribution to provident fund (PF) and gratuity as per Indian labor laws.

• Performance-based bonuses and potential for stock options in a growing agency.

Working Hours: Approximately 40 hours per week, with flexibility to accommodate research participant schedules and project deadlines across different time zones in APAC. Core working hours are expected to overlap with the Bengaluru team, with some flexibility for remote collaboration.

📝 Enhancement Note: The salary range is an estimate for Bengaluru, India, based on provided experience level and role specialization. Benefits are typical for professional roles in India and the tech industry, with specific additions tailored to a research role involving travel and development.

🎯 Team & Company Context

🏢 Company Culture

Industry: Marketing Agency (Technology-focused, Decentralized Tech, Digital Marketing)

Company Size: 50-200 employees (Based on typical agency structures and workable.com data for similar companies)

Founded: The company description implies a modern, agile agency model focused on emerging technologies. "Maker Lab" suggests a place for innovation and creation.

Team Structure:

• The UX Researcher will likely be part of a dedicated Research or Insights team, reporting to a Lead UX Researcher.

• This team will collaborate closely with Product Managers, Designers, Marketing Strategists, and Data Analysts to drive product development and GTM strategies.

Methodology:

• Data-driven decision-making, leveraging both qualitative and quantitative research to inform strategy.

• Agile and iterative approach to research, adapting to client needs and market dynamics.

• Focus on human-centered design principles, with a strong emphasis on understanding user behavior and needs.

• Collaborative problem-solving and knowledge sharing, fostering a culture of continuous learning.

Company Website: wearemakerlab.com (Derived from URL)

📝 Enhancement Note: Maker Lab's description as a "marketing agency designed to build decentralised technology-led agency teams" suggests a forward-thinking, innovative culture. The focus on embedding specialists into client teams highlights a collaborative and client-centric operational model.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Mid-Senior level UX Researcher. It requires significant autonomy in project execution, strategic contribution to product and marketing goals, and mentorship potential for junior researchers. The scope extends across the APAC region, indicating a high level of responsibility and impact.

Reporting Structure: The UX Researcher will report directly to a Lead UX Researcher, who in turn likely reports to a Head of Research, Insights, or a senior GTM/Product leader. This structure allows for strategic guidance while enabling operational independence for the researcher.

Operations Impact: The UX Researcher's insights will directly influence product strategy, feature development, and GTM messaging for clients in technology, entertainment, financial services, and payments. By understanding user needs and cultural nuances in APAC, this role will be critical in ensuring product-market fit and successful adoption of AI-driven and voice-first solutions. This directly contributes to client success and, by extension, Maker Lab's reputation and growth.

Growth Opportunities:

• Specialization: Deepen expertise in AI/NLP research, voice-first technologies, or specific APAC market dynamics.

• Leadership: Progress to a Lead UX Researcher role, managing a team and setting research strategy for larger programs.

• Cross-functional Mobility: Transition into Product Management, GTM Strategy, or a broader Insights leadership role within the agency or with a client.

• Advanced Training: Access to specialized training, conferences, and certifications to stay at the forefront of UX research methodologies and AI development.

📝 Enhancement Note: The growth path is clearly defined, moving from independent execution to strategic leadership and potential specialization, aligning with typical career progression in operations and research roles within dynamic agencies.

🌐 Work Environment

Office Type: Hybrid work environment. This implies a blend of remote work and in-office collaboration.

Office Location(s): Bengaluru, Karnataka, India. The role also involves extensive travel or remote engagement across the APAC region (Japan, India, South Korea).

Workspace Context:

• Collaborative Hub: The Bengaluru office likely serves as a hub for team meetings, brainstorming sessions, and in-person client interactions where required.

• Remote Work Infrastructure: Expect robust remote collaboration tools and platforms to facilitate seamless communication and data sharing with global and regional teams.

• Field Research: The role necessitates comfort and capability in conducting research remotely or in person across diverse cultural settings within APAC.

Work Schedule: While a standard 40-hour work week is expected, the nature of international research and participant scheduling may require flexibility. This could involve early mornings or late evenings to accommodate different time zones. The hybrid model aims to balance this with personal flexibility.

📝 Enhancement Note: The hybrid nature and regional scope suggest a need for self-discipline, strong organizational skills, and adaptability to different work settings and time zones. The emphasis on collaboration within the Bengaluru office suggests it's a key touchpoint for team cohesion and strategic alignment.

📄 Application & Portfolio Review Process

Interview Process:

1. Application Screening: Initial review of resumes and portfolios for relevant experience, regional expertise (APAC), and technical skills (AI/NLP).

2. Initial Interview (Phone/Video): Conversation with a recruiter or hiring manager to assess general fit, communication skills, and initial understanding of the role. Focus on high-level experience and motivation.

3. Portfolio Presentation & Deep Dive: A dedicated session where the candidate presents 1-2 key research projects from their portfolio. This will involve detailed discussion on methodologies, insights, impact, and how they handled challenges, particularly in APAC markets or with AI/NLP.

4. Case Study/Research Challenge: A practical exercise, potentially involving a brief research problem or data synthesis task. This will assess problem-solving skills, analytical thinking, and ability to translate complex information concisely.

5. Team/Stakeholder Interviews: Meetings with the Lead UX Researcher, potential cross-functional collaborators (e.g., Product, Marketing), and possibly senior leadership. Focus on cultural fit, collaboration style, and strategic thinking.

6. Final Offer: Following successful completion of all stages.

Portfolio Review Tips:

• Curate Strategically: Select projects that best showcase your APAC market research experience, human-AI interaction expertise, and impact on product strategy.

• Structure for Impact: For each project, clearly define: Problem/Opportunity, Your Role & Responsibilities, Research Questions, Methodologies, Key Findings, Strategic Recommendations, and Impact/Outcome (quantified if possible).

• Highlight APAC Nuances: Explicitly discuss how cultural and linguistic differences influenced your research design, participant recruitment, and interpretation of findings.

• Showcase AI/NLP Focus: If possible, include projects specifically involving AI, NLP, or voice-first technologies, detailing the unique challenges and insights.

• Data Synthesis Clarity: Demonstrate your ability to synthesize complex qualitative and quantitative data into clear, actionable insights for stakeholders.

Challenge Preparation:

• Understand the Context: If given a case study, quickly grasp the client's business, target audience, and the core problem.

• Outline Your Approach: Plan your research methodology, participant criteria, and key questions before diving deep.

• Focus on Actionability: Emphasize how your proposed research or analysis will lead to tangible business or product decisions.

• Be Concise: Practice articulating your thoughts and recommendations clearly and efficiently, as time is often limited.

📝 Enhancement Note: The interview process is designed to thoroughly assess not only research skills but also strategic thinking, operational execution, cross-cultural competence, and the ability to communicate complex findings effectively to business stakeholders. A strong, well-curated portfolio is paramount.

🛠 Tools & Technology Stack

Primary Tools:

• Qualitative Research Platforms: UserTesting.com, Lookback, Maze, Dovetail for session recording, analysis, and synthesis.

• Survey & Data Collection Tools: SurveyMonkey, Qualtrics, Google Forms for survey design and data collection.

• Data Analysis & Synthesis: Excel, Google Sheets, potentially SQL for structured data analysis; thematic analysis tools or qualitative data analysis software (e.g., NVivo, ATLAS.ti) for qualitative data.

• Collaboration & Communication: Slack, Microsoft Teams, Zoom, Google Workspace (Docs, Sheets, Slides) for team communication and document sharing.

Analytics & Reporting:

• General Analytics: Google Analytics, Adobe Analytics (to understand user behavior in context).

• Data Visualization: Tableau, Power BI, Google Data Studio for creating dashboards and reporting complex findings to stakeholders.

CRM & Automation:

• CRM (for recruitment/participant management): While not a primary CRM role, familiarity with how CRM data might inform participant selection or understanding user segments is beneficial. Salesforce, HubSpot.

• Project Management: Asana, Trello, Jira for managing research project timelines and tasks.

📝 Enhancement Note: The technology stack emphasizes tools for conducting, analyzing, and reporting on user research. Proficiency in qualitative platforms and data synthesis tools is key, alongside strong collaboration and visualization capabilities. Familiarity with analytics and project management tools is also highly relevant for operational efficiency.

👥 Team Culture & Values

Operations Values:

• Data-Driven Insights: A commitment to grounding decisions in robust user research and data analysis, rather than assumptions.

• User-Centricity: A deep empathy for users and a dedication to advocating for their needs throughout the product development lifecycle.

• Collaboration & Transparency: Open communication, knowledge sharing, and a willingness to work cross-functionally to achieve shared goals.

• Agility & Adaptability: Embracing change, iterating quickly, and adapting research approaches to meet evolving client and market demands.

• Impact & Accountability: A focus on delivering research that drives meaningful business outcomes and taking ownership of research operations and findings.

Collaboration Style:

• Embedded & Integrated: Researchers are expected to be deeply integrated into client teams, fostering strong working relationships and providing continuous insights.

• Partnership-Oriented: Collaborating closely with product managers, designers, and marketing teams to ensure research findings are understood and acted upon.

• Feedback-Rich: A culture that encourages constructive feedback on research methodologies, findings, and presentations to drive continuous improvement.

• Knowledge Sharing: Actively participating in team discussions, sharing learnings from APAC research, and contributing to a collective understanding of user behaviors and market trends.

📝 Enhancement Note: The company culture emphasizes a proactive, data-informed, and collaborative approach to research and GTM strategy, with a strong focus on user advocacy and tangible business impact.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating APAC Diversity: The primary challenge will be managing research across vastly different cultural, linguistic, and technological landscapes within the APAC region, requiring deep cultural sensitivity and adaptive methodologies.

• Bridging Human Behavior and AI: Translating complex human needs and behaviors into actionable insights for cutting-edge AI and voice-first technologies, which are rapidly evolving.

• Balancing Strategic and Operational Demands: Effectively leading multiple end-to-end research projects while also contributing strategically to product and marketing goals, all under the guidance of a Lead Researcher.

• Data Privacy Compliance: Ensuring rigorous adherence to varying data privacy regulations across different APAC countries while conducting research.

Learning & Development Opportunities:

• AI & Emerging Tech: Gaining hands-on experience and expertise in a rapidly growing field of human-AI interaction and generative technologies.

• APAC Market Expertise: Developing a nuanced understanding of diverse user behaviors and market dynamics across key Asian economies.

• Strategic Impact: Enhancing skills in translating research insights into concrete product strategy and GTM recommendations that drive measurable business outcomes.

• Cross-functional Leadership: Opportunities to influence product roadmaps and marketing strategies through impactful research presentations and collaborations.

📝 Enhancement Note: The challenges are directly tied to the role's unique scope (APAC, AI/NLP) and its operational demands, while the growth opportunities highlight the significant learning and career advancement potential in a specialized and high-demand area.

💡 Interview Preparation

Strategy Questions:

• "Describe your process for adapting qualitative research methods to vastly different cultural contexts within the APAC region. Can you share a specific example?" (Focus on methodology adaptation, cultural sensitivity, and case study demonstration).

• "How do you translate complex user needs and behavioral data into actionable insights for AI-driven or voice-first products? Walk us through a project where you did this." (Focus on AI/NLP experience, synthesis skills, and impact articulation).

Company & Culture Questions:

• "Maker Lab focuses on 'decentralized technology-led agency teams.' What does this mean to you, and how would your research approach align with this model?" (Focus on understanding agency structure, collaboration, and tech-forward mindset).

• "How do you ensure your research findings are not only understood but also acted upon by marketing and product leadership?" (Focus on stakeholder management, communication strategies, and influencing skills).

Portfolio Presentation Strategy:

• Start with the 'Why': Clearly articulate the business or product problem you aimed to solve.

• Context is Key: Explain the target audience and the specific APAC market(s) involved.

• Methodology Justification: Detail the research methods used and why they were appropriate for the problem and context.

• Show, Don't Just Tell: Visually present key findings, user quotes, personas, or journey maps.

• Actionable Insights & Impact: Conclude with clear, strategic recommendations and, if possible, demonstrate the tangible impact your research had on the product or business.

• Be Prepared for Deep Dives: Anticipate questions about your specific contributions, challenges faced, and alternative approaches you considered.

📝 Enhancement Note: Preparation should focus on demonstrating not just research proficiency, but also strategic thinking, operational excellence, cultural intelligence, and the ability to translate complex findings into business value, particularly within the context of AI and the APAC market.

📌 Application Steps

To apply for this UX Researcher position:

• Submit your application through the Workable application link provided.

• Curate Your Portfolio: Select 2-3 of your strongest UX research projects, specifically highlighting those involving APAC markets, human-AI interaction, or voice-first technologies. Ensure your portfolio clearly demonstrates your end-to-end research process, synthesis of findings, and strategic impact.

• Tailor Your Resume: Optimize your resume to emphasize your 7+ years of UX research experience, specific qualitative and quantitative methodologies, and any experience with AI, NLP, or multi-modal generative technologies. Quantify your achievements where possible.

• Prepare Your Presentation: Practice presenting your chosen portfolio projects. Focus on clearly articulating the problem, your approach, key insights, and the resulting impact on product strategy or business outcomes. Be ready to discuss how cultural nuances influenced your research.

• Research Maker Lab: Understand the company's mission, its focus on decentralized technology, and its client base. Consider how your research skills can directly benefit their clients and align with their operational model.

⚠️ 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.