Associate UX Researcher

📍 Job Overview

Job Title: Associate UX Researcher

Company: Levi Strauss & Co.

Location: Mexico City, Mexico

Job Type: Full-Time

Category: Consumer Insights / UX Research

Date Posted: 2026-06-18

Experience Level: 1-3 years (Associate)

Remote Status: Remote OK (with primary location in Mexico City)

🚀 Role Summary

• This Associate UX Researcher role at Levi Strauss & Co. focuses on enhancing the digital and omnichannel consumer experience by conducting mixed-methods research.

• A key aspect of this position involves the innovative use of AI-assisted tools to streamline research processes, including synthesis, documentation, and analysis, while maintaining rigorous human oversight.

• The role requires close collaboration with Product Management, UX Design, and Data Science teams to ensure consumer needs are at the forefront of product discovery and optimization efforts.

• The Associate UX Researcher will contribute to understanding consumer behavior and needs across eCommerce platforms and native mobile applications, directly impacting one of the world's most iconic brands.

📝 Enhancement Note: While the title is "Associate UX Researcher," the description implies a need for early-career professionals with 1-3 years of experience, fitting an associate-level profile. The emphasis on AI-fluent practice suggests a forward-thinking approach to research methodologies, making this a unique opportunity for candidates interested in leveraging emerging technologies in user research. The remote aspect with a primary location in Mexico City indicates a hybrid or flexible remote model where physical presence in Mexico City might be preferred or required for certain activities, despite the "Remote OK" designation.

📈 Primary Responsibilities

• Support the planning and execution of mixed-methods research studies, encompassing usability testing, in-depth interviews, surveys, concept testing, and benchmarking across web and mobile app platforms.

• Assist in developing comprehensive research plans, detailed discussion guides, effective survey instruments, and clear usability tasks, leveraging established research frameworks and AI-assisted tools under senior guidance.

• Integrate AI-assisted tools (e.g., ChatGPT, Claude, Copilot) throughout the entire research lifecycle, from study preparation and transcription to tagging, clustering, summarization, synthesis, documentation, and insight communication, always applying critical human judgment and privacy considerations.

• Analyze shopper feedback, usability test results, and other qualitative and quantitative data to identify patterns, derive actionable insights, and contribute findings that inform product and design decisions.

• Manage and coordinate research logistics, including participant scheduling, note-taking during sessions, project tracking, maintaining research repositories, and developing reusable templates to optimize team workflows.

• Stay abreast of advancements in AI and UX research practices, proactively suggesting and contributing to the responsible adoption of new tools to enhance research efficiency and the accessibility of consumer insights.

• Collaborate closely with Product Managers, UX Designers, and Data Scientists to deeply understand consumer needs and support research initiatives across various projects.

• Effectively communicate research findings through well-structured presentations, concise summaries, and clear documentation, adhering to team templates and guidance.

• Actively participate in team meetings, contribute to operational improvements within the research function, and engage in knowledge-sharing activities to foster collective learning.

• Contribute to cultivating a team culture that is collaborative, inquisitive, and consistently user-centered.

📝 Enhancement Note: The responsibilities highlight a blend of traditional UX research execution and a strong emphasis on the practical application of AI tools. This suggests the company is looking for candidates who can not only perform standard research tasks but also innovate by integrating AI for efficiency and deeper insights, making it crucial for applicants to showcase experience or a strong willingness to learn and apply AI in research contexts.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Human Factors, Human-Computer Interaction (HCI), Psychology, Market Research, Product Design, or a closely related field.

• Equivalent practical experience will also be considered, demonstrating a strong foundation in research principles. Experience:

• 1 to 3 years of experience specifically in UX research, consumer insights, or a comparable field. This experience can include internships, academic research projects, or prior roles in agency settings. Required Skills:

• AI-Assisted Research: Demonstrable familiarity and practical experience with AI-assisted tools such as ChatGPT, Claude, Copilot, or similar platforms for tasks like synthesis, documentation, data analysis, and research workflow support.

• Mixed-Methods Research: Foundational understanding and practical application of both qualitative and quantitative research methodologies, including but not limited to usability testing, in-depth interviews, surveys, and concept testing.

• Data Synthesis & Analysis: Ability to analyze qualitative and quantitative data, identify patterns, and synthesize observations into actionable insights with guidance.

• Communication Skills: Strong written and verbal communication skills in English, essential for clear reporting and collaboration.

• Collaboration: Proven ability to collaborate effectively with cross-functional teams, including Product Management, UX Design, and Data Science.

• Research Tools Proficiency: Familiarity with industry-standard UX research tools such as UserTesting, Qualtrics, Maze, dscout, Hotjar, or comparable platforms.

• Research Rigor: Commitment to applying strong human judgment and research rigor, especially when utilizing AI tools.

• Privacy Awareness: Understanding and adherence to data privacy principles in research practices.

Preferred Skills:

• Experience with eCommerce or native mobile application research.

• Familiarity with A/B testing and its relation to user research.

• Basic understanding of data visualization principles for presenting findings.

• Experience with building and maintaining research repositories.

📝 Enhancement Note: The explicit mention of AI tools like ChatGPT, Claude, and Copilot is a significant differentiator. Candidates should be prepared to discuss their experience or learning plans for these tools. The "1-3 years" experience level, combined with the "Associate" title, suggests the company is looking for individuals who are developing their expertise and can grow within the role, rather than seasoned experts.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Case Studies: Showcase 2-3 detailed case studies demonstrating your involvement in UX research projects from inception to insight delivery.

• Methodology Showcase: Clearly articulate the research methods used (qualitative, quantitative, mixed-methods) and the rationale behind choosing them for each project.

• AI Integration Examples: If possible, include examples where AI tools were used to support your research process (e.g., summarizing interview transcripts, generating initial thematic clusters, drafting research reports), highlighting the benefits and your critical oversight.

• Impact Demonstration: Quantify the impact of your research findings on product or design decisions, ideally with measurable outcomes or user experience improvements.

• Deliverables: Include examples of research deliverables such as research plans, discussion guides, survey questionnaires, and synthesized insight reports.

Process Documentation:

• Candidates are expected to demonstrate an understanding of documenting research processes, including:
  • Research Planning: How you approach defining research objectives, methodologies, and participant recruitment.
  • Data Collection: Protocols for conducting interviews, usability tests, and surveys.
  • Synthesis & Analysis: Methods for analyzing qualitative and quantitative data, including the use of AI-assisted summarization and thematic analysis.
  • Reporting: Structuring and presenting research findings clearly and concisely for various stakeholders.

📝 Enhancement Note: The emphasis on AI integration means candidates should be prepared to discuss how they leverage these tools within their portfolio projects. The Levi Strauss & Co. brand context suggests a focus on consumer-facing digital experiences, so portfolio examples related to eCommerce, app usage, or customer journeys would be highly relevant.

💵 Compensation & Benefits

Salary Range:

• For an Associate UX Researcher with 1-3 years of experience in Mexico City, a competitive annual salary range is estimated between MXN $300,000 to MXN $500,000. This estimate is based on industry benchmarks for UX research roles in major metropolitan areas in Mexico, considering the specific skill set required, including AI familiarity. Benefits:

• Comprehensive Health Insurance: Medical, dental, and vision coverage.

• Retirement Savings Plan: Contribution matching to support long-term financial planning.

• Paid Time Off: Generous vacation days, sick leave, and public holidays.

• Employee Discount: Significant discounts on Levi Strauss & Co. products.

• Professional Development: Opportunities for training, workshops, and conference attendance, with a focus on AI and UX research advancements.

• Flexible Work Arrangements: Remote work flexibility and potential for hybrid arrangements.

• Parental Leave: Support for new parents.

Working Hours:

• Standard full-time position, typically around 40 hours per week.

• Flexibility may be offered in terms of daily start and end times, subject to team coordination and project needs, especially given the remote nature of the role.

📝 Enhancement Note: The salary range is an estimation for the Mexico City market for an Associate UX Researcher with 1-3 years of experience, factoring in the specialized AI skills. Actual compensation will depend on the candidate's specific qualifications, experience, and internal company compensation structures. The benefits listed are typical for a large, established global company like Levi Strauss & Co.

🎯 Team & Company Context

🏢 Company Culture

Industry: Apparel & Fashion Retail, with a significant focus on digital commerce and omnichannel experiences.

Company Size: Levi Strauss & Co. is a large, global corporation, employing thousands of individuals worldwide. This scale offers opportunities for broad impact and exposure to diverse business functions.

Founded: 1853, Levi Strauss & Co. is a historic company renowned for its innovation and enduring brand legacy, particularly the invention of the blue jean. This long history suggests a culture that values both heritage and forward-thinking adaptation.

Team Structure:

• The role is within the Consumer Insights team, which likely comprises researchers with diverse specializations.

• The Associate UX Researcher will report to the Director of Consumer Insights.

• Close collaboration is expected with Product Management, UX Design, and Data Science teams, indicating a cross-functional and agile working environment. Methodology:

• The team emphasizes a user-centered approach, ensuring consumer needs drive product development and optimization.

• There is a clear directive to incorporate AI-assisted tools into research workflows, promoting efficiency and potentially deeper analytical capabilities.

• A commitment to mixed-methods research suggests a thorough, data-informed approach to understanding the consumer.

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

📝 Enhancement Note: Levi Strauss & Co. is a well-established brand that balances its iconic heritage with a drive for innovation. The company's commitment to "making the world better" and celebrating individuality ("Calling all originals") suggests a culture that values purpose, diversity, and authenticity. For operations roles, this translates to a structured yet adaptable environment where process improvement and user-centricity are key.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at the "Associate" level, typically for individuals with 1-3 years of experience. It serves as a foundational step in a UX Research or Consumer Insights career path within a large organization. The emphasis on AI integration suggests an opportunity to specialize in emerging research technologies early in one's career.

Reporting Structure: The Associate UX Researcher will report directly to the Director of Consumer Insights. This provides a clear line of mentorship and guidance from a senior leader in the field.

Operations Impact: The research conducted directly influences the design and functionality of Levi Strauss & Co.'s digital platforms (eCommerce websites and native apps). This impact is significant, as it shapes the online shopping experience for millions of consumers globally, contributing to customer satisfaction, conversion rates, and brand loyalty.

Growth Opportunities:

• Skill Specialization: Develop deep expertise in AI-assisted research techniques, mixed-methods research, and specific product domains (e.g., apparel eCommerce).

• Career Advancement: Progression to a full UX Researcher, Senior UX Researcher, or specialized roles within the Consumer Insights or Product teams.

• Cross-Functional Exposure: Gain experience working with various departments like Product Management, UX Design, Marketing, and Data Science, broadening understanding of the business.

• Learning & Development: Access to company-sponsored training, workshops, and potentially conferences focused on UX research, AI, and digital product development.

📝 Enhancement Note: The role offers a solid entry point into UX research within a respected global brand. The unique focus on AI provides a distinct career advantage, allowing the individual to build highly relevant and future-proof skills. The direct reporting line to a Director indicates potential for significant mentorship and accelerated learning.

🌐 Work Environment

Office Type: The role is designated as "Remote OK" with a primary location in Mexico City. This suggests a flexible work environment where remote work is the default, but occasional in-office presence in Mexico City might be beneficial or required for specific team events, workshops, or critical meetings.

Office Location(s): The primary operational hub for this role is Mexico City, Mexico. This implies access to a company office or co-working space in the city, which may be utilized for collaborative sessions or team gatherings.

Workspace Context:

• Collaborative Environment: While remote, the role emphasizes collaboration with Product, Design, and Data Science teams, suggesting a culture that values shared problem-solving and open communication through digital tools.

• Technology Stack: Access to and proficiency with a range of digital collaboration tools, research platforms, and AI-powered research assistants will be essential.

• Team Interaction: Opportunities for regular virtual team meetings, brainstorming sessions, and knowledge-sharing forums to foster connection and continuous learning.

Work Schedule:

• Standard full-time hours (approx. 40 hours/week) with potential for flexible scheduling to accommodate work-life balance, common in remote roles.

• The schedule will need to align with the needs of the Product and Design teams, which may involve some overlap with standard business hours for collaboration.

📝 Enhancement Note: The "Remote OK" with a specific city listed suggests a need for candidates to be based in or willing to relocate to Mexico City, or at least be available for occasional in-person interactions. This model aims to combine the benefits of remote work with the advantages of localized team cohesion.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A brief call with a recruiter to assess basic qualifications, interest, and cultural fit.

• Hiring Manager Interview: An in-depth discussion with the Director of Consumer Insights focusing on experience, research philosophy, AI tool familiarity, and behavioral questions.

• Portfolio Review & Presentation: Candidates will be asked to present 1-2 key projects from their portfolio, demonstrating their research process, findings, and impact. This is a crucial stage to assess practical skills and communication abilities.

• Cross-Functional Interview: A session with key stakeholders from Product Management and UX Design to evaluate collaboration skills and understanding of product development cycles.

• Final Interview: Potentially with a senior leader for final approval, covering strategic thinking and long-term fit.

Portfolio Review Tips:

• Focus on AI Integration: Clearly highlight how AI tools were used in your projects, the specific benefits, and how you ensured research integrity.

• Tell a Story: Structure your case studies as narratives that explain the problem, your approach, the insights derived, and the resulting impact on the product or user experience.

• Quantify Impact: Whenever possible, use data and metrics to demonstrate the value and outcomes of your research.

• Be Prepared for Deep Dives: Anticipate questions about your methodology, decision-making process, and how you handle challenges.

• Tailor to Levi's: Consider how your experience and research approach align with Levi Strauss & Co.'s brand, products, and consumer base.

Challenge Preparation:

• Candidates may be given a small research challenge or asked to critique an existing research approach.

• Prepare to discuss how you would approach a specific UX research problem for an eCommerce platform.

• Practice articulating your thoughts clearly and concisely, demonstrating your process and problem-solving skills.

📝 Enhancement Note: The portfolio review is a critical component. Candidates should select projects that best showcase their ability to conduct rigorous research and effectively integrate AI tools. Being able to articulate the "why" behind their methodological choices and the impact of their findings will be key.

🛠 Tools & Technology Stack

Primary Tools:

• AI-Assisted Research: Proficiency or strong familiarity with tools such as ChatGPT, Claude, Copilot, or similar generative AI platforms for tasks including:

  • Summarizing large volumes of text (interview transcripts, open-ended survey responses).
  • Identifying initial themes and patterns in qualitative data.
  • Drafting research documentation (plans, discussion guides).
  • Generating insights summaries.

• User Testing Platforms: Experience with tools like UserTesting.com, Lookback, or Maze for remote usability testing and feedback collection.

• Survey & Data Collection Platforms: Familiarity with Qualtrics, SurveyMonkey, Google Forms, or similar for designing and deploying surveys and collecting quantitative data.

• Collaboration & Documentation: Tools such as Google Workspace (Docs, Sheets, Slides), Microsoft Office Suite, Confluence, or Notion for documentation, reporting, and team collaboration.

Analytics & Reporting:

• Data Analysis Tools: Basic proficiency in tools for analyzing quantitative data (e.g., Excel, Google Sheets). Familiarity with more advanced statistical software or BI tools is a plus.

• Visualization Tools: Experience creating clear and compelling visualizations using tools like Tableau, Power BI, or even advanced features in Google Slides/PowerPoint to present findings.

• Behavioral Analytics: Familiarity with tools like Hotjar, Amplitude, or Google Analytics for understanding user behavior on websites and apps.

CRM & Automation:

• While not a primary focus, understanding how user research insights can inform CRM strategies or impact automated customer journeys is beneficial. Familiarity with how user data is managed within platforms is a plus.

📝 Enhancement Note: The explicit mention of AI tools is paramount. Candidates should be ready to discuss their specific experiences and comfort levels with these technologies, as well as their understanding of ethical considerations and limitations. Proficiency in standard UX research platforms is also expected.

👥 Team Culture & Values

Operations Values:

• Consumer-Centricity: A deep commitment to understanding and advocating for the consumer in all product and design decisions.

• Innovation & Adaptability: Embracing new technologies and methodologies, such as AI, to drive efficiency and better insights.

• Collaboration & Teamwork: Working effectively with cross-functional partners to achieve shared goals.

• Integrity & Rigor: Maintaining high standards of research ethics, data privacy, and methodological soundness, especially when integrating AI.

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

Collaboration Style:

• Cross-Functional Integration: Actively partnering with Product Management, UX Design, and Data Science to ensure research is integrated early and often in the product development lifecycle.

• Open Communication: Fostering an environment where feedback is shared constructively and insights are communicated transparently.

• Knowledge Sharing: Proactively sharing learnings and best practices within the Consumer Insights team and with broader product teams.

📝 Enhancement Note: The values reflect a company that is both established and forward-looking, seeking individuals who can contribute to a culture of innovation while maintaining a strong ethical compass and consumer focus. For operations roles, this means a blend of structured processes and a willingness to adapt and experiment.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing AI Efficiency with Human Judgment: Effectively integrating AI tools while ensuring research rigor, avoiding bias, and maintaining critical human oversight.

• Synthesizing Diverse Data: Managing and synthesizing insights from multiple research methods and sources to create a cohesive understanding of the consumer.

• Communicating Complex Findings: Translating detailed research data into clear, concise, and actionable recommendations for diverse stakeholders.

• Navigating a Large Organization: Adapting to the processes and stakeholders within a global company like Levi Strauss & Co.

Learning & Development Opportunities:

• AI in Research Specialization: Deepening expertise in leveraging AI for research tasks, becoming a go-to person for AI-assisted research practices.

• Advanced Research Methodologies: Expanding knowledge and application of various qualitative and quantitative research techniques.

• Product Development Lifecycle: Gaining a comprehensive understanding of how UX research fits into the broader product discovery, design, and optimization process.

• Cross-Functional Collaboration Skills: Enhancing ability to work effectively with product, design, engineering, and marketing teams.

📝 Enhancement Note: The primary challenge and growth opportunity lie in mastering the responsible and effective use of AI in UX research. This role provides a unique platform to pioneer these practices within a major retail brand.

💡 Interview Preparation

Strategy Questions:

• AI Integration: "Describe a situation where you used an AI tool to assist with a research task. What was the outcome, and what were the limitations or ethical considerations?" (Prepare to discuss specific tools and your process.)

• Methodology Choice: "For a project aimed at improving the checkout experience on an eCommerce site, what research methods would you propose and why?" (Focus on justifying your choices based on research goals.)

• Insight Delivery: "How do you ensure your research findings are understood and acted upon by product teams?" (Discuss your communication strategies and stakeholder management.)

Company & Culture Questions:

• Brand Understanding: "What are your thoughts on the Levi Strauss & Co. brand and its digital presence?" (Research the brand's history, values, and current digital initiatives.)

• Team Collaboration: "Describe a time you collaborated with designers or product managers on a research project. What was your role, and how did you contribute to the team's success?" (Highlight your ability to work cross-functionally.)

• AI Ethics: "What ethical considerations do you think are important when using AI in user research?" (Demonstrate awareness of responsible AI use.)

Portfolio Presentation Strategy:

• Select Relevant Projects: Choose 1-2 projects that showcase your mixed-methods experience, AI tool usage (if applicable), and impact on digital product design.

• Structure Your Narrative: Clearly outline the problem, your research questions, methodology, key findings, and recommendations.

• Highlight AI's Role: Explicitly detail how AI tools were used, the value they added, and your critical oversight.

• Focus on Impact: Quantify results and explain how your research influenced decisions and improved the user experience.

• Be Prepared for Q&A: Anticipate questions about your process, decisions, and the challenges you faced.

📝 Enhancement Note: The interview process will heavily emphasize practical application, particularly regarding AI tools. Candidates should be ready to demonstrate their research process, critical thinking, and ability to translate findings into actionable product improvements within an eCommerce context.

📌 Application Steps

To apply for this operations position:

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

• Portfolio Customization: Tailor your resume and portfolio to highlight your experience with UX research methodologies, consumer insights, and specifically any projects involving AI-assisted tools. Showcase case studies that demonstrate your ability to drive user-centered design decisions in digital product contexts.

• Resume Optimization: Ensure your resume clearly articulates your 1-3 years of relevant experience, lists proficiency in key research tools (UserTesting, Qualtrics, etc.), and explicitly mentions familiarity with AI tools like ChatGPT or Claude. Use keywords found in the job description.

• Interview Preparation: Practice articulating your research process, especially how you integrate AI tools and ensure research rigor. Prepare to present a portfolio case study that demonstrates impact and cross-functional collaboration.

• Company Research: Familiarize yourself with Levi Strauss & Co.'s brand, values, digital strategy, and recent product launches. Understand their commitment to innovation and consumer focus.

⚠️ 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.