Senior UX Researcher ID84743

📍 Job Overview

Job Title: Senior UX Researcher

Company: AgileEngine

Location: Guatemala (Remote)

Job Type: Full-time

Category: User Experience Research / Operations Insights

Date Posted: 2026-08-25

Experience Level: Senior (5+ years)

Remote Status: Fully Remote

🚀 Role Summary

• Lead hands-on UX research initiatives to enhance the employee experience within IT and Operations portfolios, leveraging mixed-methodologies to uncover critical insights.

• Independently scope, execute, and synthesize research studies focused on evaluating AI-enabled self-service experiences and testing AI skill concepts.

• Drive the application and extension of a Jobs-to-be-Done (JTBD) framework to inform enterprise tooling decisions and validate new tool adoption.

• Collaborate closely with product, service, and operational teams to validate tooling effectiveness and ensure seamless integration before broader rollout.

• Translate complex research findings into actionable, decision-ready recommendations and compelling stakeholder readouts.

📝 Enhancement Note: This role is positioned as a Senior Individual Contributor, requiring a high degree of autonomy and strategic thinking in applying UX research principles to operational efficiency and employee experience within an enterprise context. The focus on AI-enabled self-service and enterprise tooling indicates a need for research that directly impacts internal workflows and productivity.

📈 Primary Responsibilities

• Plan and execute mixed-method (qualitative and quantitative) research studies across critical IT and Operations initiatives, from initial ambiguity to actionable recommendations.

• Design and conduct research specifically to evaluate AI-enabled self-service experiences, aiming to improve IT support and user adoption.

• Test and validate AI Skills concepts, identifying user needs, adoption barriers, and trust factors prior to wider implementation.

• Synthesize research findings into clear, concise recommendations, research artifacts, and compelling stakeholder readouts that detail implications and proposed next steps.

• Maintain and evolve the Jobs-to-be-Done (JTBD) framework to accurately reflect organizational jobs and guide the evaluation and selection of endorsed tools.

• Develop comprehensive research plans, participant recruitment strategies, and study materials for key initiatives.

• Deliver decision-ready findings and strategic recommendations concerning AI-enabled self-service, AI skills, collaboration tools, and business process optimization.

• Act as a key partner to product, service, and operational teams, providing research-backed validation for tooling decisions.

📝 Enhancement Note: The responsibilities emphasize a proactive and independent approach to research, requiring the candidate to not only execute studies but also to strategically guide their direction and ensure their findings translate into tangible business outcomes within an enterprise IT and Operations environment. The integration of JTBD framework maintenance highlights a strategic research function.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Human-Computer Interaction (HCI), Psychology, Sociology, Anthropology, or a related field is typically expected for Senior UX Researcher roles.

Experience: 5+ years of hands-on UX research experience at a senior individual-contributor level, with a proven track record of independent research scoping, execution, and synthesis.

Required Skills:

• Strong proficiency in selecting, executing, and analyzing both qualitative and quantitative research methodologies.

• Demonstrated experience researching enterprise internal tools, employee experience, or complex cross-functional workflows.

• Proven ability to translate research findings into clear, actionable recommendations for product and operational stakeholders.

• Experience developing and applying a Jobs-to-be-Done (JTBD) or comparable strategic research framework across multiple initiatives and influencing product/operational decisions.

• Excellent collaborative stakeholder management skills across product, design, engineering, operations, and service teams.

• Exceptional written and verbal communication skills, including the ability to deliver concise research readouts and engaging executive-level storytelling.

• Proficiency with common research platforms for participant recruitment, moderated/unmoderated studies, surveys, and data synthesis.

• Experience working within enterprise product, service, and operational workflows.

• Comfort using collaboration and documentation systems (e.g., Confluence, Notion) for maintaining traceable research artifacts, findings, and decisions.

• Upper-intermediate English proficiency. Preferred Skills:

• Experience researching AI-enabled products, assistants, automation, or emerging technology adoption, with a focus on trust, validation behavior, user reliance, and rollout readiness.

• Experience with employee experience initiatives, IT Service Management (ITSM), self-service support, or digital workplace tools.

• Experience applying or evolving a Jobs-to-be-Done framework across diverse product or service areas.

• A track record of research influencing enterprise tooling, AI adoption, or service experience decisions.

• Ability to connect individual research studies to a broader, ongoing strategic research framework.

• Proven ability to translate complex findings into actions that improve self-service, reduce user confusion, or streamline operational workflows.

• Experience partnering with teams through product launch and post-launch measurement phases.

📝 Enhancement Note: The "Must Haves" clearly define the core competencies, emphasizing autonomy, strategic framework application (JTBD), and the ability to influence enterprise-level decisions. The preferred skills highlight a strong advantage for candidates with specific experience in AI, employee experience, and ITSM, aligning with the role's focus on internal operational tools and AI integration.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrations of independently scoped, executed, and synthesized mixed-method UX research studies, showcasing the full research lifecycle.

• Case studies detailing the application and impact of a Jobs-to-be-Done (JTBD) framework, illustrating how it informed enterprise tooling or operational decisions.

• Examples of research artifacts, including research plans, discussion guides, survey instruments, and synthesis outputs that clearly articulate findings and recommendations.

• Evidence of translating complex research data into decision-ready insights and actionable recommendations for product, service, and operational stakeholders.

• Projects showcasing experience in enterprise internal tools, employee experience, or complex cross-functional workflows. Process Documentation:

• Examples of research plans that outline clear objectives, methodologies, participant criteria, and timelines.

• Documentation demonstrating the synthesis of qualitative and quantitative data into coherent findings and strategic recommendations.

• Artifacts that illustrate stakeholder readouts or presentations, highlighting concise communication and executive-ready storytelling.

• Evidence of maintaining traceable research artifacts, findings, and decisions using collaboration and documentation systems.

📝 Enhancement Note: For a Senior UX Researcher role focused on operational insights and enterprise tooling, the portfolio should emphasize the candidate's ability to conduct end-to-end research, strategically apply frameworks like JTBD, and translate findings into actionable business intelligence. The ability to document and communicate complex research clearly is paramount, especially when influencing enterprise-level decisions.

💵 Compensation & Benefits

Salary Range: Based on market research for Senior UX Researchers in remote roles supporting enterprise clients, with an upper-intermediate English requirement, a competitive salary range in Guatemala would likely fall between $45,000 - $75,000 USD annually. This estimation considers the Senior level, specialized skills in enterprise tooling and AI research, and the remote, international nature of the role.

Benefits:

• Growth without limits: Access to mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget for professional development.

• Competitive compensation: Regular performance and compensation reviews ensuring recognition for skills and impact.

• Flexibility: 100% remote work with flexible hours to support focus, autonomy, and work-life balance.

• Meaningful, modern projects: Opportunity to work with leading brands on impactful products using modern technologies.

• Collaborative culture: A supportive, inclusive environment that values new ideas and contributions, with a focus on autonomy and minimal micromanagement.

• Well-being & support: Access to local well-being programs and people-focused support tailored to the employee's location.

Working Hours: Approximately 40 hours per week, with flexibility to support focus, autonomy, and work rhythm, aligning with a remote work arrangement.

📝 Enhancement Note: The salary range is an estimation for Guatemala, considering the role's seniority, specialized skills (AI, Enterprise tooling, JTBD), and the remote nature. The benefits package is comprehensive, focusing on professional development, work-life balance, and a positive work environment, which are key attractors for senior talent in the tech industry.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software Development / IT Services / Technology Consulting. AgileEngine operates within a dynamic sector focused on creating award-winning software solutions for Fortune 500 brands and startups. This environment demands adaptability, innovation, and a strong focus on client success and technological advancement.

Company Size: AgileEngine is an Inc. 5000 company, indicating a significant and growing presence, likely employing hundreds to thousands of professionals globally. This size offers stability while maintaining a culture that can still be agile and people-focused.

Founded: Founded in 2019, AgileEngine is a relatively young but rapidly growing company, suggesting a modern, forward-thinking approach to technology and employee engagement.

Team Structure:

• The UX Research team likely operates within a product development or design organization, collaborating closely with product managers, designers, engineers, and crucially, IT and Operations departments.

• Reporting structure is likely to a UX Research Lead or Director, with this Senior role functioning as a key individual contributor.

• Cross-functional collaboration is central, as the role requires close partnerships with product, service, and operational teams to validate tooling decisions. Methodology:

• Data analysis and insights methods will be core, with a strong emphasis on mixed-method UX research to understand user needs and behaviors.

• Workflow planning and optimization strategies will be applied to internal IT and Operations processes, aiming to improve efficiency and employee experience.

• Automation and efficiency practices are indirectly supported through research that identifies opportunities for better tooling and self-service capabilities.

Company Website: https://agileengine.com/

📝 Enhancement Note: AgileEngine's description highlights a "people-first culture" and "award-winning" status, suggesting a company that values its employees and fosters a positive work environment. The Inc. 5000 recognition points to rapid growth and success, which can translate into exciting opportunities but also a fast-paced environment.

📈 Career & Growth Analysis

Operations Career Level: This role is a Senior Individual Contributor within the UX Research domain, specifically focusing on the operational aspects of enterprise tooling and employee experience. It signifies a level of expertise where independent leadership of research projects is expected, with a strong emphasis on strategic impact rather than people management. The role requires deep knowledge of research methodologies and their application to business problems.

Reporting Structure: The Senior UX Researcher will likely report to a UX Research Manager or Director. They will work in close collaboration with various cross-functional teams, including Product Management, Engineering, Design, IT, and Service Operations, acting as a key research partner and advisor.

Operations Impact: The role directly impacts operational efficiency and employee productivity by providing data-driven insights into the effectiveness of IT and Operations tools, AI-enabled self-service experiences, and internal workflows. By validating tooling decisions and understanding user needs, the research will contribute to streamlining processes, reducing friction, and improving the overall employee experience within the company, thereby indirectly supporting business objectives and revenue.

Growth Opportunities:

• Operations Skill Advancement: Deepen expertise in researching complex enterprise systems, AI/ML applications, and employee experience challenges, potentially specializing in areas like ITSM or digital workplace tools.

• Strategic Framework Application: Become a go-to expert for applying and evolving the Jobs-to-be-Done (JTBD) framework across different product and service areas within the company, influencing strategic decision-making.

• Leadership in Research: Transition into leadership roles such as a UX Research Lead or Manager, mentoring junior researchers and shaping research strategy for larger initiatives or departments.

• Cross-Functional Influence: Develop stronger relationships and influence across product, engineering, and operations leadership, becoming a trusted advisor on user-centric decisions for internal tooling.

📝 Enhancement Note: The career path for a Senior UX Researcher in this context leans towards deepening specialized expertise and increasing strategic influence within an enterprise setting. While not a direct people management role, opportunities for mentorship and leading research initiatives provide avenues for growth. The emphasis on JTBD and enterprise tooling suggests a path toward strategic operational research leadership.

🌐 Work Environment

Office Type: This is a Fully Remote position, offering complete flexibility in location. The company fosters a culture that supports remote work, emphasizing autonomy and work-life balance.

Office Location(s): While the role is fully remote, the company is headquartered in Guatemala, and the position is specifically open to candidates located in Guatemala. This suggests potential for local community building or specific regional support programs.

Workspace Context:

• Collaborative Environment: Despite being remote, the company promotes a collaborative culture through its use of modern technologies and communication platforms, encouraging idea sharing and contribution.

• Operations Tools and Technology: Employees will have access to and utilize standard enterprise collaboration and documentation tools (e.g., Slack, Teams, Confluence, Jira), as well as specialized research platforms for participant recruitment, moderated/unmoderated studies, and surveys.

• Operations Team Interaction: Regular interaction with product, design, engineering, and operations teams will occur through virtual meetings, collaborative documents, and project management tools, fostering a connected remote work experience.

Work Schedule: The role specifies "flexible hours that support focus, autonomy, and a healthy work rhythm," indicating a commitment to work-life integration rather than strict adherence to a 9-to-5 schedule, while still expecting approximately 40 hours of work per week.

📝 Enhancement Note: The fully remote nature, coupled with flexible hours and a focus on autonomy, aligns with modern work expectations. The mention of local well-being programs and support suggests that while remote, the company still aims to provide a sense of belonging and tailored assistance to employees within their specific regions, like Guatemala.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review applications and conduct an initial screening call to assess basic qualifications, experience, and cultural fit.

• Hiring Manager Interview: A more in-depth discussion with the hiring manager focusing on specific research experience, strategic thinking, and understanding of enterprise tooling/AI research.

• Portfolio Presentation & Case Study: Candidates will likely present a portfolio showcasing key research projects, with a focus on a specific case study demonstrating their approach to a complex problem, application of JTBD, and impact on decisions. This may include a live demonstration or detailed walkthrough.

• Cross-functional Team Interviews: Interviews with peers and stakeholders from product, design, and operations teams to assess collaboration skills, communication effectiveness, and ability to integrate research into workflows.

• Final Interview: A concluding interview, potentially with a senior leader, to finalize the decision, discuss role expectations, and address any remaining questions.

Portfolio Review Tips:

• Showcase End-to-End Research: Highlight your ability to independently scope, execute, and synthesize studies from ambiguity to actionable insights.

• Emphasize JTBD Application: Clearly articulate how you've used or evolved a Jobs-to-be-Done framework to drive strategic decisions, particularly for enterprise tooling.

• Quantify Impact: Whenever possible, demonstrate the business impact of your research through metrics, such as improved adoption rates, reduced support tickets, or streamlined workflows.

• Tailor to the Role: Focus on projects related to enterprise internal tools, employee experience, AI-enabled self-service, or complex workflows.

• Structure for Clarity: Organize your portfolio logically, perhaps chronologically or by project type, with clear summaries for each case study that outline the problem, your approach, findings, and outcomes.

Challenge Preparation:

• Anticipate Scenario-Based Questions: Be prepared to discuss how you would approach research for specific scenarios related to evaluating AI tools or improving IT self-service.

• Prepare Your JTBD Narrative: Have a clear, concise story about how you've applied the JTBD framework and the impact it had.

• Practice Stakeholder Communication: Rehearse how you would present complex research findings to non-research audiences (e.g., product managers, operations leaders) in an engaging and actionable way.

• Research AgileEngine: Understand their business, their focus on award-winning software, and their "people-first" culture to align your answers.

📝 Enhancement Note: The interview process is structured to assess not just research skills but also strategic thinking, collaboration, and the ability to influence decisions within an enterprise operations context. The portfolio presentation is a critical component, requiring candidates to demonstrate tangible impact and strategic application of research methodologies, particularly JTBD.

🛠 Tools & Technology Stack

Primary Tools:

• Research Platforms: Proficiency with common platforms for participant recruitment (e.g., UserTesting.com, Respondent.io), moderated and unmoderated studies (e.g., UserZoom, Lookback), and survey creation (e.g., SurveyMonkey, Qualtrics).

• Collaboration & Documentation Systems: Experience with tools like Confluence, Notion, or similar for maintaining traceable research artifacts, findings, and decisions.

• Project Management: Familiarity with tools such as Jira or Asana for tracking research projects and collaborating with development teams.

Analytics & Reporting:

• Data Synthesis Tools: Skills in synthesizing qualitative and quantitative data, potentially using tools for thematic analysis or statistical analysis (e.g., Excel, SPSS, R for quantitative; NVivo for qualitative).

• Visualization Tools: Ability to create clear, impactful visualizations of research findings for stakeholder readouts.

CRM & Automation:

• While not directly managing CRM, understanding how research insights can inform CRM strategies or automate user support processes through better self-service tools is beneficial.

• Familiarity with AI-enabled tools and platforms will be a significant advantage, given the role's focus.

📝 Enhancement Note: The technology stack emphasizes tools for conducting user research, documenting findings, and collaborating effectively in a remote environment. The role's focus on AI and enterprise tooling suggests that familiarity with or an aptitude for learning these specific technologies will be highly valued.

👥 Team Culture & Values

Operations Values:

• Data-Driven Decision Making: A strong emphasis on using research and data to inform product, service, and operational decisions, ensuring that insights directly influence strategy and implementation.

• User-Centricity: A commitment to understanding and advocating for the end-user (in this case, employees using internal tools), ensuring their needs and experiences are central to development.

• Efficiency and Optimization: A drive to identify opportunities for process improvement, streamlining workflows, and enhancing productivity through better tooling and self-service capabilities.

• Collaboration and Transparency: Fostering an environment where teams work together openly, share information readily, and build trust through clear communication and shared goals.

• Continuous Learning and Innovation: Encouraging curiosity, exploration of new technologies (like AI), and a commitment to ongoing professional development to stay at the forefront of UX research and its applications.

Collaboration Style:

• Cross-functional Integration: Proactively engaging with product managers, designers, engineers, and operations teams to ensure research is integrated throughout the product development lifecycle and directly supports operational goals.

• Constructive Feedback: Cultivating a culture where feedback is regularly exchanged, research findings are discussed openly, and iterative improvements are made based on insights.

• Knowledge Sharing: Actively sharing research insights, methodologies, and best practices across teams to build collective understanding and capability within the organization.

• Strategic Partnership: Operating as a strategic partner rather than just a service provider, influencing roadmaps and priorities through compelling research narratives and data.

📝 Enhancement Note: The company's "people-first culture" and emphasis on collaboration are likely to extend to the operational and research teams. A successful candidate will be someone who thrives in a supportive, communicative environment and actively contributes to a culture of continuous improvement and data-informed decision-making, particularly within the realm of enterprise operations.

⚡ Challenges & Growth Opportunities

Challenges:

• Ambiguity in Enterprise Environments: Navigating complex organizational structures and potentially siloed departments to conduct research and gain buy-in for recommendations.

• Balancing Strategic Frameworks with Tactical Needs: Effectively applying and maintaining a strategic framework like JTBD while delivering timely, actionable insights for immediate tooling decisions.

• Measuring Impact of Internal Tools: Quantifying the direct impact of UX research on internal employee productivity, efficiency, and satisfaction, which can be more nuanced than user-facing product research.

• Rapid Evolution of AI Technologies: Staying current with the fast-paced advancements in AI and understanding their practical implications for enterprise self-service and user adoption.

• Remote Collaboration Dynamics: Ensuring effective communication and collaboration with distributed teams across different time zones and functions.

Learning & Development Opportunities:

• Specialization in AI UX Research: Gaining deep expertise in researching AI-enabled products, understanding user trust, adoption barriers, and the nuances of human-AI interaction in an enterprise context.

• Advanced JTBD Application: Becoming a subject matter expert in developing and scaling strategic research frameworks like JTBD across a large organization, influencing product strategy and investment.

• Enterprise Tooling Expertise: Developing a deep understanding of the internal tooling landscape, IT Service Management (ITSM), and digital workplace solutions, becoming a go-to researcher for these critical areas.

• Mentorship and Skill Development: Accessing AgileEngine's dedicated annual learning budget, mentorship programs, and internal TechTalks to continuously enhance UX research skills and broaden industry knowledge.

• Strategic Influence: Growing to influence product roadmaps and company-wide operational strategies through consistent delivery of high-impact research.

📝 Enhancement Note: The challenges presented are typical for senior roles in enterprise operations and research, requiring strong problem-solving, strategic thinking, and adaptability. The growth opportunities are well-aligned with the role's focus, offering paths for deep specialization and increased strategic influence within the company.

💡 Interview Preparation

Strategy Questions:

• "Describe how you would approach researching the adoption barriers for a new AI-powered self-service portal for IT support. What methodologies would you employ?" (Focus on your mixed-method approach, JTBD application, and stakeholder collaboration.)

• "Walk me through a time you used a Jobs-to-be-Done framework to influence enterprise tooling decisions. What were the challenges, and how did you overcome them?" (Highlight your strategic framework expertise and ability to translate research into actionable outcomes.)

• "How do you ensure your research findings are translated into actionable recommendations for product and operational teams, especially when dealing with complex enterprise workflows?" (Emphasize your communication skills, stakeholder management, and ability to deliver decision-ready insights.) Company & Culture Questions:

• "What interests you about AgileEngine's focus on award-winning software and its 'people-first' culture, particularly in relation to this Senior UX Researcher role?" (Show you've researched the company and understand its values.)

• "How would you contribute to our collaborative culture as a fully remote Senior UX Researcher?" (Discuss your experience with remote collaboration tools and strategies for fostering connection.)

• "How do you measure the success and impact of your research within an organization, especially for internal tools and employee experience?" (Focus on metrics and demonstrating ROI.) Portfolio Presentation Strategy:

• Structure Your Narrative: Begin with the business problem or user need, detail your research process (methodology, participants, tools), present your key findings clearly, and conclude with the actionable recommendations and their impact.

• Highlight JTBD Integration: Explicitly show where and how the JTBD framework informed your research questions, participant selection, or outcome analysis.

• Showcase Data Synthesis: Demonstrate your ability to distill complex qualitative and quantitative data into concise, understandable insights. Use visuals effectively.

• Focus on Impact: For each project, clearly articulate how your research influenced decisions, improved user experience, or contributed to business goals. Quantify outcomes if possible.

• Be Prepared for Deep Dives: Anticipate questions about your methodology, participant recruitment, data analysis, and the specific challenges you faced during each project.

📝 Enhancement Note: Preparation should focus on demonstrating not just research execution but also strategic thinking, the ability to apply frameworks like JTBD effectively, and a strong understanding of how UX research drives business value within an enterprise operations context. The portfolio presentation is a key opportunity to showcase this.

📌 Application Steps

To apply for this Senior UX Researcher position:

• Submit your application through the provided link on the AgileEngine careers portal.

• Tailor your resume: Highlight your 5+ years of hands-on UX research experience, emphasizing mixed-methodologies, JTBD framework application, and experience with enterprise internal tools or employee experience research. Use keywords from the job description.

• Prepare your portfolio: Curate your best case studies that demonstrate your ability to independently scope, execute, and synthesize research, with a focus on projects involving enterprise tooling, AI-enabled self-service, or complex workflows. Ensure you can articulate the impact of your work.

• Practice your presentation: Rehearse presenting your portfolio and a selected case study, focusing on clear communication, strategic insights, and how your research led to actionable recommendations. Be ready to discuss your approach to JTBD and stakeholder collaboration.

• Research AgileEngine: Familiarize yourself with their company mission, values, and recent projects to articulate your interest and how you align with their culture and goals.

⚠️ 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.