Senior UX Researcher

📍 Job Overview

Job Title: Senior UX Researcher

Company: Pulse Labs AI, Inc.

Location: Brazil

Job Type: Full-Time

Category: User Experience Research / Operations

Date Posted: 2026-06-09T19:36:56.657

Experience Level: 7+ Years (Senior)

Remote Status: 100% Remote

🚀 Role Summary

• Lead and execute complex, multi-faceted qualitative UX research projects with minimal supervision, ensuring adherence to rigorous research methodologies.

• Drive human-centered product development by delivering actionable insights derived from user interactions and perceptions of next-generation mobile, smart home, and AI products.

• Analyze rich qualitative data from diary studies, focus groups, In-Depth Interviews (IDIs), and longitudinal panel studies to inform product strategy and design.

• Mentor and coach junior researchers and analysts, fostering a collaborative and high-performing UX research team environment.

• Serve as a key liaison with customers, presenting research findings and recommendations to senior-level stakeholders (Director/VP).

📝 Enhancement Note: The role is explicitly focused on qualitative research within a "research operations environment" and emphasizes working "on behalf of customers." This suggests a strong operational component, requiring structured processes, efficient project execution, and client-facing deliverables, aligning closely with the principles of GTM and Revenue Operations in terms of driving business outcomes through data and customer understanding. The mention of "rapid-response environment" and "ambiguous environment" further solidifies the need for operational agility and problem-solving skills.

📈 Primary Responsibilities

• Design, plan, and execute end-to-end qualitative research studies, including diary studies, focus groups, IDIs, and longitudinal panel studies, tailored to specific customer requirements and business objectives.

• Analyze qualitative data from participant videos, transcripts, surveys, and other study artifacts to identify key themes, patterns, and user insights.

• Develop comprehensive research deliverables such as Toplines, Scorecards, Executive Summaries, and Final Reports, ensuring clarity, accuracy, and actionable recommendations.

• Present research findings and strategic recommendations effectively to diverse audiences, including senior-level clients (Director/VP) and internal product teams.

• Collaborate closely with Panel and Research Operations teams to ensure seamless project execution, data integrity, and adherence to timelines.

• Mentor and provide guidance to junior analysts and researchers, fostering their professional development in qualitative research methodologies and client communication.

• Contribute to the continuous improvement of internal research processes, tools, and platforms by sharing learnings and providing feedback to Design and Engineering teams.

• Actively engage with customers to understand their evolving needs and ensure research outputs directly address their strategic goals.

📝 Enhancement Note: The primary responsibilities emphasize a blend of direct research execution, strategic client engagement, and internal process improvement. This mirrors the operational focus of GTM roles where understanding customer needs, executing strategic initiatives, and optimizing internal processes are paramount. The expectation to present to Director/VP levels highlights the strategic impact and operational importance of this role within the client's product development lifecycle.

🎓 Skills & Qualifications

Education:

• Graduate degree in Psychology, Human-Computer Interaction (HCI), Sociology, Research Methods, or a related field. Experience:

• Minimum of 7 years of progressive experience in a qualitative research role, specifically within a detail-oriented research operations environment, conducting research on behalf of external customers.

• Proven experience working with early-to-mid stage startups and/or FAANG/top-tier technology companies. Required Skills:

• Expertise in qualitative research methodologies, including diary studies, focus groups, In-Depth Interviews (IDIs), and longitudinal panel studies.

• Strong proficiency in data collection, analysis, and interpretation of qualitative data, identifying nuanced patterns and anomalies.

• Demonstrated success in leading complex, multi-faceted research projects from inception to completion with minimal oversight.

• Comprehensive understanding of the end-to-end research lifecycle, including various research methods, approaches, and common UX-related analyses.

• Proven ability to maintain and foster strong relationships with customers, vendors, and internal team members.

• High attention to detail, with a meticulous approach to data handling and reporting.

• Comfort and skill in presenting research findings and insights to senior-level stakeholders (Director/VP).

• Excellent written and verbal communication skills, with the ability to articulate complex findings clearly and concisely.

• Strong analytical skills, enabling the synthesis of qualitative data into strategic recommendations.

• Proficiency in utilizing emerging technologies and various software systems, particularly AI products. Preferred Skills:

• Experience working with AI products such as Gemini, NotebookLM, ChatGPT, Claude, or similar platforms.

• High comfort and proficiency using Google Workspace (Google Docs, Google Sheets, etc.).

• Collaborative attitude and demonstrated ability to foster a positive and productive team environment.

• Experience working within a rapid-response, often ambiguous operational environment alongside analysts and researchers.

• Self-initiation, a strong sense of ownership, and a commitment to transparency.

📝 Enhancement Note: The requirement for "research operations environment" and "conducting research on behalf of customers" strongly indicates a need for operational rigor, process adherence, and client-management skills. The preference for AI product usage and Google Workspace proficiency points to a need for efficiency and adaptability within a tech-forward operational framework.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase of at least 3-5 complex qualitative research projects, demonstrating end-to-end execution from research design to final reporting.

• Case studies that highlight the application of various qualitative methods (diary studies, IDIs, focus groups, longitudinal studies) and the ability to adapt methodologies to specific client needs.

• Evidence of data analysis and interpretation, presenting key findings, and translating them into actionable product recommendations.

• Examples of client-facing deliverables, such as executive summaries, slide decks, or full reports, demonstrating communication clarity and stakeholder engagement.

• Documentation or descriptions of how research findings influenced product decisions or strategy for clients. Process Documentation:

• Examples of research plans or proposals, illustrating the structured approach to defining research objectives, methodologies, participant criteria, and timelines.

• Demonstrations of how research data (transcripts, videos, survey responses) was systematically analyzed and synthesized.

• Artifacts showcasing the creation of clear, concise, and impactful research reports and presentations tailored for different stakeholder levels.

• Evidence of collaboration with research operations or project management teams to ensure efficient study execution.

📝 Enhancement Note: For a Senior UX Researcher role with an operational focus, a portfolio is crucial. It should not just showcase research findings but also the process by which those findings were achieved efficiently and effectively for clients. This includes demonstrating project management, data synthesis, and stakeholder communication skills, all of which are core to operations roles. The emphasis on "research operations environment" suggests a need to see structured, repeatable processes in action.

💵 Compensation & Benefits

Salary Range:

• Given the "Senior" title, 7+ years of experience, and the specialized nature of UX research within an AI-focused company, a competitive salary range for a remote position in Brazil, while considering the company's US base and potential client base, is estimated.

• Estimated Salary Range: R$15,000 - R$25,000 per month (approximately $3,000 - $5,000 USD per month, subject to exchange rate fluctuations).

• This estimate is based on market data for senior-level UX Researchers in technology companies, adjusted for the Brazilian market and the remote nature of the role. It also considers the company's backing by investors like Google and Amazon, suggesting a capacity for competitive compensation. Benefits:

• Health insurance (comprehensive coverage tailored for remote employees).

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

• Professional development opportunities, including training, conferences, and access to learning resources.

• Potential for performance-based bonuses or stock options.

• Flexible working hours within operational requirements to support client needs.

• Access to cutting-edge AI tools and technologies for research and analysis.

• A collaborative remote work environment with opportunities for virtual team building. Working Hours:

• The role requires working approximately 40 hours per week.

• While primarily US working hours are expected, flexibility is needed, potentially requiring work before and after standard hours, including weekends, to ensure quality and on-time client delivery. This aligns with operational demands for client satisfaction.

📝 Enhancement Note: Salary estimation for a remote role based in Brazil but likely serving a US client base requires careful consideration of both markets. The provided range is a general estimate for the Brazilian market for a senior role and should be verified. The "mostly US working hours" with potential for off-hours work is a critical detail for operations roles that often require client availability.

🎯 Team & Company Context

🏢 Company Culture

Industry: Artificial Intelligence (AI) Products & Services, Technology Consulting, Market Research.

Company Size: The provided "company_size" data is missing. However, given the description as "empowering insights and elevating experiences for the world's top technology companies" and backed by major investors like Google and Amazon, Pulse Labs AI likely operates as a well-funded, growth-stage startup or a specialized division within a larger entity. This implies a dynamic, fast-paced environment.

Founded: The "company_founded" data is missing. Assuming it's a relatively modern company given its focus on AI and investor backing.

Team Structure:

• The UX Research team is described as a "talented and dedicated group of fellow researchers and analysts."

• The Senior UX Researcher will be an "integral member" and will "mentor and coach analysts and more junior researchers," potentially serving as a manager.

• Collaboration is expected with "Panel and Research Operations team members" and also with "Design and Engineering teams" internally.

• The role requires working alongside "operations personnel in a rapid-response, often ambiguous environment." Methodology:

• Focus on delivering "human-centered, actionable insights."

• Emphasis on "rigor and quality" in research execution and analysis.

• Utilization of "rich video and survey data" for analysis and interpretation.

• A "multi-project environment" requiring strong project management and prioritization.

• Continuous improvement of "internal processes" is encouraged.

Company Website: https://pulselabs.ai/

📝 Enhancement Note: The company's focus on AI and its investor backing suggest a culture of innovation, data-driven decision-making, and a commitment to high-quality, impactful work. The "research operations environment" aspect points to a structured, process-oriented approach to delivering client services, which is a key characteristic of successful GTM operations.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Senior UX Researcher, indicating a mid-to-senior level within a specialized research function. It involves leading complex projects, mentoring others, and interacting with senior clients, signifying a significant level of responsibility and autonomy. The potential to manage analysts further elevates its operational leadership potential.

Reporting Structure: The Senior UX Researcher will report to a Research Lead or Manager within the UX Research team. They will also work closely with Project Managers or Account Managers on client-facing aspects and collaborate with Research Operations for execution. Direct reports may include Analysts or Junior Researchers.

Operations Impact: This role has a direct impact on product success by ensuring products are user-centered and meet market needs. By providing actionable insights to top technology companies, Pulse Labs AI, and by extension this researcher, influences the design and development of cutting-edge products, thereby contributing to market adoption and revenue generation for their clients. The role's operational success is measured by client satisfaction, timely delivery of high-quality research, and the actionable impact of findings.

Growth Opportunities:

• Specialization: Deepen expertise in specific AI product domains or advanced qualitative research techniques.

• Leadership: Transition into a Research Manager role, overseeing a team of researchers and analysts, and taking on greater strategic responsibility for client accounts.

• Process Improvement: Lead initiatives to refine and optimize research operations, tools, and methodologies within Pulse Labs AI.

• Client Strategy: Develop deeper client relationships and contribute to strategic account planning and business development.

• Cross-functional Advancement: Potentially move into product management, strategy, or client success roles within the AI/tech sector, leveraging strong user insight and operational experience.

📝 Enhancement Note: The growth path here is clearly defined, moving from individual contribution to leadership and strategic influence. The emphasis on mentoring and process improvement aligns with typical career progression in operations-focused roles, where developing team capabilities and operational efficiency are key markers of advancement.

🌐 Work Environment

Office Type: Fully remote, with no physical office requirement. The company operates in a distributed model.

Office Location(s): While the role is open to candidates in Brazil, the company's operational focus and client base are primarily US-centric. The job description mentions "100% full-time remote US-based position, requiring mostly US working hours," but also lists Brazil as a location. This suggests candidates in Brazil are welcome to apply, provided they can align with US working hours and client needs.

Workspace Context:

• A highly collaborative, yet autonomous remote work environment.

• Access to a suite of digital tools for communication, collaboration, and research (e.g., Google Workspace, AI tools).

• Opportunities to connect with a global team of researchers, analysts, and operations personnel.

• A dynamic setting that requires adaptability and proactive engagement with colleagues and clients. Work Schedule:

• Standard 40-hour work week is expected.

• Significant flexibility is required to accommodate client needs, which may involve working outside of typical business hours, including evenings and weekends, to ensure timely delivery and quality. This operational flexibility is key to client service.

📝 Enhancement Note: The remote nature is clear, but the nuance regarding US working hours for a role listed in Brazil is important. This implies candidates must be prepared for significant overlap with US time zones, a common operational requirement for global teams serving specific markets.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of resume and portfolio to assess foundational qualifications and relevant experience.

• Hiring Manager Interview: Discussion focused on research experience, methodology expertise, leadership potential, and cultural fit. May include behavioral questions.

• Team/Peer Interview: Interaction with fellow researchers and analysts to evaluate collaboration style, technical skills, and ability to mentor.

• Client Simulation/Case Study: A practical exercise where candidates may be asked to outline a research plan for a given scenario or present findings from a past project, simulating client interaction and problem-solving.

• Final Interview: With senior leadership to discuss strategic alignment, long-term vision, and final offer details.

Portfolio Review Tips:

• Structure: Organize your portfolio logically, perhaps by project type or client industry. For each project, clearly state the objective, your role, the methodology used, key findings, recommendations, and the impact.

• Showcase Operations: Highlight how you managed project timelines, collaborated with operations teams, handled client communication, and ensured efficient delivery. Quantify impact where possible (e.g., "reduced research cycle time by X%," "delivered findings that led to Y product improvement").

• Methodology Depth: Detail your process for selecting and applying qualitative methods. Explain why you chose specific approaches and how they addressed the research questions.

• Deliverables: Include examples of your client-facing reports, presentations, or scorecards. Ensure they are polished, concise, and demonstrate your ability to translate complex data into understandable insights for senior stakeholders.

• AI Integration: If applicable, showcase any projects where you leveraged AI tools in your research process or analyzed user interaction with AI products.

Challenge Preparation:

• Research Design: Be prepared to outline a research plan for a hypothetical new product or feature, considering target users, research questions, appropriate qualitative methods, and potential challenges.

• Data Synthesis: Practice articulating how you would analyze and synthesize data from a complex qualitative study (e.g., a longitudinal diary study with hundreds of entries).

• Stakeholder Communication: Prepare to explain a complex research finding to a non-researcher audience (e.g., an executive) in a clear, concise, and impactful manner. Focus on the "so what?" and the business implications.

• Problem-Solving: Think about common challenges in UX research (e.g., recruitment issues, participant bias, ambiguous client requests) and how you would operationally address them.

📝 Enhancement Note: The emphasis here is on demonstrating not just research acumen but also operational excellence in project execution, client management, and communication. The portfolio is a critical tool for operations roles to showcase process, efficiency, and impact.

🛠 Tools & Technology Stack

Primary Tools:

• Qualitative Research Platforms: Experience with tools for conducting and analyzing qualitative data (e.g., Dovetail, UserTesting.com, Qualtrics, survey platforms for qualitative feedback).

• AI Products: Keen knowledge and demonstrated use of AI products such as Gemini, NotebookLM, ChatGPT, Claude, or similar generative AI and AI research assistants. This is a critical requirement for understanding and analyzing user interactions with AI products.

• Collaboration Suites: High comfort working with Google Workspace (Google Docs, Google Sheets, Google Slides) or similar productivity and collaboration tools (e.g., Microsoft 365).

Analytics & Reporting:

• Proficiency in data analysis and interpretation tools, even if primarily qualitative. This may include advanced spreadsheet functions (Google Sheets) or specialized qualitative analysis software.

• Experience in creating clear, visually appealing reports and presentations (e.g., using Google Slides, PowerPoint, or dedicated reporting tools). CRM & Automation:

• While not explicitly a CRM role, an understanding of how user research integrates with customer understanding and product development pipelines is beneficial. Familiarity with project management tools (e.g., Asana, Trello, Jira) for managing research projects effectively.

• Experience with systems that facilitate data collection and management for research studies.

📝 Enhancement Note: The specific mention of AI products like Gemini and ChatGPT is a key differentiator. This indicates the company is at the forefront of AI product research and expects its researchers to be proficient in analyzing user experiences with these technologies. The emphasis on Google Workspace also points to a standardized, efficient operational toolset.

👥 Team Culture & Values

Operations Values:

• Customer-Centricity: A deep commitment to understanding and serving customer needs, ensuring research directly contributes to client success and satisfaction.

• Rigor and Quality: Upholding high standards in research methodology, data analysis, and reporting to deliver trustworthy and impactful insights.

• Collaboration: Fostering a supportive and communicative team environment where knowledge is shared, and collective problem-solving is encouraged across research, operations, and client teams.

• Innovation: Embracing new technologies, especially AI, and exploring creative approaches to research to stay at the forefront of user insights.

• Ownership and Transparency: Taking responsibility for research outcomes, maintaining open communication about progress, challenges, and findings.

Collaboration Style:

• Cross-functional Integration: Actively partnering with research operations for execution, design and engineering for feedback, and client teams for strategic alignment.

• Proactive Communication: Regularly updating stakeholders on project status, insights, and potential roadblocks, especially in a remote and fast-paced setting.

• Mentorship and Knowledge Sharing: Willingness to guide junior team members and openly share learnings and best practices within the team.

• Adaptability: Working effectively in a dynamic, often ambiguous environment, adjusting plans and approaches as needed while maintaining quality and focus.

📝 Enhancement Note: The emphasis on "research operations environment," "rapid-response," and "ambiguous environment" suggests a culture that values agility, clear communication, and a proactive approach to problem-solving—all hallmarks of strong operational teams.

⚡ Challenges & Growth Opportunities

Challenges:

• Managing Multiple Complex Projects: Balancing the demands of several concurrent research projects, each with unique client requirements and timelines, requiring strong prioritization and time management skills.

• Working Across Time Zones: Coordinating with clients and internal teams across different time zones, especially given the role's listing in Brazil but operational focus on US hours.

• Interpreting Nuanced AI User Behavior: Understanding and articulating complex user interactions with emerging AI products, which may involve novel interaction patterns and learning curves.

• Delivering Actionable Insights in Fast-Paced Environments: Synthesizing data quickly and effectively to provide timely, impactful recommendations to clients operating in rapid product development cycles.

• Mentoring and Developing Junior Talent: Effectively guiding and coaching less experienced researchers while managing one's own project load.

Learning & Development Opportunities:

• AI Research Specialization: Gaining deep expertise in researching user experiences with cutting-edge AI technologies and products.

• Advanced Qualitative Methodologies: Exploring and mastering new or advanced qualitative research techniques relevant to evolving product landscapes.

• Client Relationship Management: Developing strategic account management and client advisory skills through regular interaction with senior stakeholders.

• Operational Process Optimization: Contributing to and leading initiatives to enhance the efficiency and effectiveness of Pulse Labs AI's research operations.

• Leadership Development: Opportunities to grow into management roles, honing skills in team building, performance management, and strategic planning.

📝 Enhancement Note: The challenges highlight the operational complexities of the role, requiring more than just research skills. The growth opportunities are framed around advancing both research expertise and operational leadership.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you led a complex qualitative research project from start to finish. What were the key challenges, how did you overcome them, and what was the outcome?"

  • Preparation: Focus on a project where you demonstrated end-to-end ownership, strong methodology, data synthesis, and impactful recommendations. Highlight your role in managing timelines and client expectations, showcasing operational efficiency.

• "How would you approach designing a research study to understand user perceptions and usage patterns of a new AI-powered chatbot like ChatGPT?"

  • Preparation: Outline a research plan, including target users, research questions, choice of qualitative methods (e.g., diary study, moderated interviews), and how you'd analyze the data. Emphasize your understanding of AI product nuances and your ability to integrate AI tools in your process.

• "Imagine a client is unhappy with the insights from a recent research study. How would you handle this situation to rebuild trust and ensure future collaboration?"

  • Preparation: Focus on active listening, understanding the client's perspective, transparently reviewing the process and data, and offering solutions or further investigation. This tests your client management and problem-solving skills, crucial for operations. Company & Culture Questions:

• "What interests you about Pulse Labs AI and our work with AI products?"

  • Preparation: Research Pulse Labs AI's mission, recent news, and investor backing. Connect your passion for AI and user experience to their specific focus.

• "How do you approach mentoring junior researchers or analysts?"

  • Preparation: Provide specific examples of how you've guided team members, shared knowledge, and fostered growth. Highlight your commitment to developing talent within an operational team.

• "Describe your experience working in a fast-paced, potentially ambiguous research environment. How do you maintain focus and deliver quality?"

  • Preparation: Share examples of thriving under pressure, adapting to changing project scopes, and implementing structured approaches (e.g., clear communication protocols, agile planning) to maintain operational excellence. Portfolio Presentation Strategy:

• Narrative Arc: For each case study, tell a compelling story: the problem, your approach (the "how," including operational considerations), the insights (the "what"), and the impact (the "so what?").

• Quantify Impact: Whenever possible, link your research findings to tangible business outcomes or product improvements. Use data points or estimations to demonstrate ROI.

• Highlight Process: Clearly explain your research process, including any operational efficiencies you implemented or challenges you overcame in execution.

• Visual Clarity: Use clean, professional slides. Ensure graphs, charts, and quotes are easy to read and understand.

• Client Focus: Frame your contributions in terms of how they solved client problems or helped clients achieve their business objectives.

📝 Enhancement Note: Interview preparation for an operations-focused role like this requires demonstrating not just technical expertise but also project management, client service, and problem-solving capabilities. The portfolio is the primary tool to showcase these operational strengths.

📌 Application Steps

To apply for this Senior UX Researcher position:

• Submit your application through the provided link on Workable.

• Customize your resume: Tailor your resume to highlight your 7+ years of qualitative research experience, specific methodologies used (diary studies, IDIs, etc.), experience in a "research operations environment," and any work with startups or top tech companies. Use keywords from the job description.

• Prepare your portfolio: Curate 3-5 strong case studies demonstrating end-to-end project leadership, data analysis, client reporting, and impactful recommendations. Be ready to articulate the operational aspects of your projects.

• Practice your presentation: Rehearse presenting a case study from your portfolio, focusing on clarity, conciseness, impact, and your ability to communicate complex findings to senior stakeholders.

• Research Pulse Labs AI: Understand their mission, the types of clients they serve, their focus on AI, and any recent company news to tailor your responses during the interview process.

⚠️ 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.

---