Associate UX Researcher

📍 Job Overview

Job Title: Associate UX Researcher

Company: Levi Strauss & Co.

Location: Mexico City, Mexico

Job Type: Full-time

Category: User Experience (UX) Research / Consumer Insights

Date Posted: September 07, 2026

Experience Level: 1-3 years (Entry to Junior Level)

Remote Status: Remote Eligible (from Mexico City)

🚀 Role Summary

• Spearhead the planning and execution of mixed-methods UX research studies across web and native app platforms, with a strong emphasis on leveraging AI-assisted tools for enhanced efficiency and insight generation.

• Collaborate closely with Product Management, UX Design, and Data Science teams to integrate consumer understanding into the discovery, development, and optimization phases of digital and omnichannel experiences.

• Actively utilize and explore AI-powered tools for various stages of the research lifecycle, including transcription, synthesis, documentation, analysis, and insight communication, while maintaining rigorous research standards and ethical considerations.

• Contribute to a user-centered culture by translating complex consumer feedback and usability data into clear, actionable findings that inform strategic product and design decisions for a global iconic brand.

📝 Enhancement Note: This role is specifically focused on UX Research within a consumer-facing technology context, emphasizing the integration of AI tools. While the input data mentions "revenue operations," "sales operations," and "GTM," this role is distinct and falls within the User Experience and Consumer Insights domain. The AI-assisted component is a critical differentiator for this position.

📈 Primary Responsibilities

• Support the development and execution of research plans for web and app experiences, encompassing usability testing, in-depth interviews, surveys, concept testing, and competitive benchmarking.

• Assist in crafting comprehensive research materials, including participant screener questionnaires, discussion guides, usability tasks, and consent forms, utilizing established frameworks and AI-assisted tools.

• Employ AI-assisted tools for efficient data processing, such as transcribing interviews, tagging feedback, clustering themes, summarizing findings, and generating initial drafts of research reports, always applying critical human judgment and research rigor.

• Analyze qualitative and quantitative data from user feedback, usability sessions, and surveys to identify key patterns, pain points, and opportunities for improvement in the digital customer journey.

• Manage research logistics, including participant recruitment and scheduling, note-taking during sessions, project tracking, maintaining research repositories, and updating documentation and reusable templates.

• Continuously research and propose new AI tools and methodologies that can responsibly enhance research execution, improve insight accessibility, and elevate the overall UX research practice at Levi Strauss & Co.

📝 Enhancement Note: The responsibilities highlight a blend of traditional UX research tasks and a forward-thinking approach to AI integration. The emphasis on "support" and "assist" indicates this is an Associate-level role, requiring guidance from senior researchers.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Human Factors, Human-Computer Interaction (HCI), Psychology, Market Research, Product Design, or a closely related field; or equivalent practical experience demonstrating a strong foundation in research principles. Experience:

• 1-3 years of hands-on experience in UX research, consumer insights, or a related analytical field. This can include internships, academic research projects, or agency experience. Required Skills:

• Foundational understanding and practical application of qualitative research methods (e.g., usability testing, user interviews) and quantitative research methods (e.g., surveys, A/B testing principles).

• Familiarity with AI-assisted tools such as ChatGPT, Claude, Copilot, or similar platforms for tasks including text summarization, content generation, data analysis assistance, and report drafting.

• Demonstrated ability to synthesize observations from research studies and articulate findings clearly and concisely, with guidance from senior researchers.

• Proficiency in English, with strong written and verbal communication skills essential for clear reporting and cross-functional collaboration.

• Experience with common UX research tools and platforms such as UserTesting, Qualtrics, Maze, dscout, Hotjar, or comparable software for study execution and data collection.

• A strong user-centered mindset and a passion for understanding consumer needs and behaviors. Preferred Skills:

• Experience with data analysis and visualization tools.

• Familiarity with e-commerce platforms and digital retail environments.

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

• Basic knowledge of statistical analysis for quantitative data interpretation.

📝 Enhancement Note: The requirement for AI-assisted tool familiarity is a key differentiator for this role, positioning it as a modern UX research position. The experience level suggests a candidate who has some foundational knowledge but will be developing advanced skills under mentorship.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate a clear understanding of the research process from planning to reporting, showcasing how research questions were translated into actionable studies.

• Include examples of research deliverables such as research plans, discussion guides, surveys, and synthesized findings reports, highlighting your contribution.

• Showcase projects where you analyzed qualitative and quantitative data to derive meaningful insights that informed product or design decisions.

• If possible, include examples of how you have used or experimented with AI tools to enhance research efficiency or insight generation. Process Documentation:

• Present well-structured research plans that clearly outline objectives, methodologies, participant criteria, and timelines.

• Provide examples of how you documented research findings, including clear summaries, key takeaways, and actionable recommendations.

• Illustrate your ability to collaborate with design and product teams, showing how research insights were communicated and integrated into the product development workflow.

📝 Enhancement Note: For an Associate UX Researcher, the portfolio should emphasize foundational understanding and potential, rather than extensive, independently led projects. The inclusion of AI tool usage, even in experimental stages, would be highly beneficial.

💵 Compensation & Benefits

Salary Range:

• Based on industry benchmarks for Associate UX Researchers in Mexico City with 1-3 years of experience, a competitive annual salary range would likely be between MXN 300,000 - MXN 500,000. This estimate considers the cost of living in Mexico City and the specific requirements of the role, including AI tool proficiency. Benefits:

• Comprehensive health insurance coverage, including medical, dental, and vision plans.

• Retirement savings plan and potential company matching contributions.

• Paid time off, including vacation days, sick leave, and public holidays.

• Employee discount on Levi Strauss & Co. products.

• Opportunities for professional development, including training, workshops, and conference attendance.

• Access to company-provided AI tools and relevant software licenses. Working Hours:

• Standard full-time work schedule, typically 40 hours per week. The role offers flexibility in terms of daily work hours, allowing for remote work from Mexico City.

📝 Enhancement Note: Salary is an estimate based on common compensation for similar roles in Mexico City and the specified experience level. Benefits are standard for a large, established company like Levi Strauss & Co.

🎯 Team & Company Context

🏢 Company Culture

Industry: Apparel & Fashion Retail, with a strong focus on digital commerce and e-commerce platforms. Levi Strauss & Co. is a heritage brand known for its innovative spirit and commitment to quality.

Company Size: Levi Strauss & Co. is a large, global corporation, employing thousands of individuals worldwide. This size offers stability, significant resources, and exposure to large-scale projects.

Founded: 1853. With a history spanning over 170 years, Levi Strauss & Co. has a deep legacy of innovation and brand strength, emphasizing enduring quality and consumer focus.

Team Structure:

• The Consumer Insights team is likely composed of researchers with diverse specializations, including UX research, market research, and data analysis, working collaboratively to provide a holistic understanding of consumers.

• This Associate UX Researcher will report to the Director of Consumer Insights, indicating a clear reporting line and opportunities for mentorship from senior leadership.

• Close collaboration with Product Management, UX Design, and Data Science teams is fundamental, requiring strong cross-functional communication and partnership to drive product strategy and user experience improvements. Methodology:

• The team likely employs a mixed-methods approach to research, combining qualitative insights with quantitative data to form robust conclusions.

• Data analysis is central, with a growing emphasis on leveraging AI tools to accelerate synthesis and improve the depth of insights derived from consumer interactions.

• Workflow optimization is a continuous focus, aiming to streamline research processes and make insights more accessible and actionable for stakeholders.

Company Website: https://www.levistrauss.com/

📝 Enhancement Note: Levi Strauss & Co.'s long history suggests a stable work environment, but its focus on innovation indicates an openness to new methodologies, such as AI integration in research. The company's global presence implies exposure to diverse markets and user bases.

📈 Career & Growth Analysis

Operations Career Level: This is an Associate-level position, suitable for individuals with 1-3 years of experience. It represents an entry point into specialized UX Research within a large corporation, focusing on execution and learning under guidance.

Reporting Structure: The role reports to the Director of Consumer Insights, providing a direct line to senior leadership and opportunities to learn from experienced research professionals. This structure facilitates mentorship and career development guidance.

Operations Impact: The UX Researcher's insights will directly influence the digital shopping experience for Levi Strauss & Co.'s global customer base, impacting e-commerce conversion rates, customer satisfaction, and brand loyalty. Contributions will help shape product roadmaps and feature prioritization for digital platforms.

Growth Opportunities:

• Skill Specialization: Develop expertise in various UX research methodologies, particularly in mixed-methods research and the application of AI tools. Potential to specialize in areas like e-commerce UX, mobile app research, or specific AI-driven research techniques.

• Career Advancement: Progress from Associate UX Researcher to UX Researcher, Senior UX Researcher, or potentially specialize in areas like Research Operations or Consumer Insights Strategy.

• Learning & Development: Access to internal training programs, industry conferences, and workshops focused on UX research, AI in research, and digital product development. Opportunities to learn from senior researchers and cross-functional partners.

📝 Enhancement Note: This role offers a structured path for growth within the UX Research field. The emphasis on AI integration provides a unique specialization opportunity that aligns with current industry trends, potentially accelerating career progression.

🌐 Work Environment

Office Type: While the role is advertised as remote from Mexico City, Levi Strauss & Co. likely maintains physical office spaces. The remote arrangement suggests a flexible work policy, allowing employees to work from a home office within the specified location.

Office Location(s): The primary location specified is Mexico City, Mexico. This indicates that while the role is remote, candidates must reside in or be willing to relocate to Mexico City to be eligible.

Workspace Context:

• The remote work setup necessitates a self-disciplined approach to managing tasks and maintaining productivity. It also implies a need for strong digital collaboration tools and communication practices.

• Access to company-provided software licenses for research tools, AI platforms, and collaboration suites will be crucial for effective remote work.

• Opportunities for virtual team interaction, including regular video calls, team meetings, and digital knowledge-sharing sessions, will foster a sense of connection and collaboration. Work Schedule:

• The standard 40-hour work week allows for flexibility in structuring the workday. This can be advantageous for researchers who need to schedule participant interviews or dedicate focused time to data synthesis and analysis.

📝 Enhancement Note: The "remote from Mexico City" stipulation is key. It's not a fully remote role but a hybrid model where the "office" is the employee's home within that specific city, with the possibility of occasional in-person collaboration or team events if the company has a local presence.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review applications and resumes, focusing on relevant experience, educational background, and demonstrated interest in UX research and AI tools.

• Hiring Manager Interview: A discussion with the Director of Consumer Insights to assess your understanding of UX research methodologies, your experience with AI tools, and your alignment with the team's culture and objectives.

• Portfolio Review & Case Study: Presentation of your research portfolio, highlighting 1-2 key projects that demonstrate your skills in research execution, synthesis, and communication. You may be asked to walk through a specific research challenge or a project where you used AI tools.

• Cross-functional Interview: An interview with a Product Manager or UX Designer to evaluate your collaboration skills, your ability to translate insights into actionable recommendations, and your understanding of product development cycles.

• Final Interview: Potentially a final discussion with a senior leader to assess overall fit and confirm your suitability for the role.

Portfolio Review Tips:

• Curate Selectively: Choose 3-5 projects that best showcase your research skills, problem-solving abilities, and impact. Prioritize projects that demonstrate your experience with mixed methods, qualitative/quantitative analysis, and ideally, any use of AI tools.

• Structure for Clarity: For each project, clearly outline the problem statement, your role and responsibilities, the research methodology used, key findings, and the impact of your recommendations.

• Highlight AI Integration: If you have used AI tools, clearly explain how they were integrated into your workflow, what benefits they provided (e.g., speed, depth of analysis), and how you maintained research rigor and human oversight.

• Quantify Impact: Wherever possible, use metrics to demonstrate the impact of your research, such as improvements in usability scores, conversion rates, or user satisfaction.

• Practice Your Pitch: Be prepared to present your portfolio concisely and engagingly, answering questions about your process and decision-making.

Challenge Preparation:

• Be ready for hypothetical research scenarios. Practice framing research questions, selecting appropriate methodologies, and outlining how you would approach data synthesis, especially with AI assistance.

• Anticipate questions about how you would handle challenging participant interactions, conflicting stakeholder feedback, or the ethical implications of using AI in research.

• Prepare to discuss your understanding of the Levi Strauss & Co. brand and its digital presence, and how you would approach researching its customer experience.

📝 Enhancement Note: The portfolio review is crucial for this role. Emphasizing AI tool usage in past projects or hypothetical scenarios will significantly differentiate candidates.

🛠 Tools & Technology Stack

Primary Tools:

• AI-Assisted Tools: Proficiency or familiarity with tools like ChatGPT, Claude, Copilot, or similar generative AI platforms for text summarization, synthesis, content generation, and analysis assistance.

• Research Platforms: Experience with tools such as UserTesting.com, Maze, Lookback, or similar for remote usability testing and qualitative data collection.

• Survey Tools: Familiarity with Qualtrics, SurveyMonkey, Google Forms, or similar for designing and deploying surveys.

• Data Analysis & Synthesis Tools: Experience with qualitative data analysis software (e.g., Dovetail, NVivo, dscout) or general data analysis tools that can support synthesis.

Analytics & Reporting:

• Analytics Platforms: Basic understanding of web analytics tools like Google Analytics or Adobe Analytics to contextualize user behavior.

• Reporting & Presentation Software: Proficiency in tools like Microsoft PowerPoint, Google Slides, or Keynote for creating clear and compelling research presentations.

• Collaboration Suites: Experience with tools such as Microsoft Teams, Slack, or Google Workspace for team communication and project management.

CRM & Automation:

• While not directly CRM-focused, understanding how UX research feeds into customer experience strategies that are often managed within CRM systems is beneficial. Familiarity with how user feedback impacts customer journeys is relevant.

📝 Enhancement Note: The specific mention of AI tools like ChatGPT, Claude, and Copilot is critical. Familiarity with common UX research platforms like UserTesting and Qualtrics is also a core requirement.

👥 Team Culture & Values

Operations Values:

• User-Centricity: A deep commitment to understanding and advocating for the user's needs and experience in all product and design decisions.

• Curiosity & Learning: A drive to continuously explore new research methodologies, tools (especially AI), and user behaviors to uncover novel insights.

• Collaboration: A belief in the power of teamwork, actively seeking input from and sharing insights with cross-functional partners to achieve shared goals.

• Integrity & Rigor: Maintaining high standards of research ethics, privacy, and methodological soundness, even when leveraging AI tools.

• Impact-Driven: Focusing on delivering actionable insights that lead to tangible improvements in the consumer experience and business outcomes.

Collaboration Style:

• The team fosters an open and communicative environment where ideas are shared freely, and feedback is constructive and collaborative.

• Expect regular cross-functional syncs with Product, Design, and Data Science to ensure alignment and integrate research findings seamlessly into the product development lifecycle.

• A culture of knowledge sharing, potentially through internal presentations, documentation, and informal discussions, helps democratize user insights across the organization.

📝 Enhancement Note: The emphasis on AI tools suggests a forward-thinking and innovative team culture, balancing technological adoption with core research principles.

⚡ Challenges & Growth Opportunities

Challenges:

• Integrating AI Responsibly: Learning to effectively and ethically integrate AI-assisted tools into the research workflow without compromising data quality, privacy, or human judgment.

• Balancing Methodologies: Effectively employing a mix of qualitative and quantitative research methods to provide comprehensive insights, especially for an Associate level.

• Communicating Complex Findings: Translating nuanced user research data into clear, concise, and actionable recommendations for diverse stakeholders, including those less familiar with research.

• Pace of Innovation: Keeping up with the rapid advancements in AI technology and UX research best practices to ensure the team remains at the forefront of consumer understanding.

Learning & Development Opportunities:

• AI in Research Specialization: Gain hands-on experience and potentially become a go-to person for AI-assisted UX research within the team and organization.

• Mentorship: Receive guidance and training from senior UX researchers and the Director of Consumer Insights on advanced research techniques, strategic thinking, and career development.

• Cross-Functional Exposure: Develop a deeper understanding of product management, UX design principles, and data science by working closely with these teams.

• Industry Trends: Opportunities to attend industry conferences, webinars, and workshops to stay abreast of the latest trends in UX research and AI.

📝 Enhancement Note: The primary challenge and growth opportunity lie in mastering the integration of AI into UX research, making this role particularly attractive for those looking to build skills in a cutting-edge area.

💡 Interview Preparation

Strategy Questions:

• "Describe your experience using AI-assisted tools in a research context. What were the benefits and limitations?"

• "How would you approach planning a usability study for a new feature on our e-commerce platform, considering both qualitative and quantitative data?"

• "Imagine you've synthesized user feedback using an AI tool, and it highlights a surprising trend. How would you validate this finding and decide if it's significant enough to pursue?"

• "Walk me through a research project where your insights directly influenced a product or design decision. What was your process?" Company & Culture Questions:

• "What do you know about Levi Strauss & Co.'s brand and its digital presence? How might you approach researching its customers?"

• "How do you stay updated on the latest advancements in UX research and AI technology?"

• "Describe a time you had to collaborate with individuals from different functional teams (e.g., Product, Design). How did you ensure effective communication?"

• "What are your thoughts on the ethical considerations of using AI in user research?" Portfolio Presentation Strategy:

• Storytelling: Frame your portfolio projects as narratives – problem, your approach, your findings, and the impact.

• AI Integration Focus: For relevant projects, clearly articulate how you used AI tools, what specific tasks they assisted with (e.g., transcription, summarization, theme clustering), and how you ensured accuracy and rigor.

• Conciseness: Aim for a clear, impactful presentation that respects the interviewer's time. Highlight key takeaways and be prepared to dive deeper into specific areas.

• Demonstrate Impact: Clearly articulate the outcomes of your research, even if it’s an early-stage insight that informed future iterations.

📝 Enhancement Note: Expect questions that probe your understanding of AI's role in research, your foundational research skills, and your ability to collaborate effectively within a product development team.

📌 Application Steps

To apply for this Associate UX Researcher position:

• Submit your application through the Levi Strauss & Co. careers portal.

• Curate Your Portfolio: Select 2-3 strong projects that showcase your UX research skills, specifically highlighting any experience with AI-assisted tools or your approach to leveraging them. Ensure your portfolio clearly outlines your role, methodology, findings, and impact.

• Tailor Your Resume: Emphasize keywords related to UX research, consumer insights, mixed-methods research, AI tools (mention specific ones if applicable), and relevant software. Quantify achievements where possible.

• Prepare Your Pitch: Practice presenting your portfolio and answering common UX research interview questions, focusing on your ability to synthesize data, communicate findings, and collaborate with cross-functional teams. Be ready to discuss your perspective on AI in research.

• Research Levi Strauss & Co.: Understand the company's brand, its digital presence, and its target audience. Consider how UX research can contribute to its e-commerce success.

⚠️ 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.