Senior UX Researcher ID84743

📍 Job Overview

Job Title: Senior UX Researcher ID84743

Company: AgileEngine

Location: Mendoza, Mendoza, Argentina

Job Type: Full-time

Category: User Experience Research / Operations Research

Date Posted: 2026-08-25

Experience Level: Senior (5+ years)

Remote Status: Fully Remote

🚀 Role Summary

• Spearhead hands-on UX research for an IT and Operations employee experience portfolio, focusing on AI-enabled self-service and enterprise tooling.

• Independently scope, execute, and synthesize mixed-method studies to uncover actionable insights for critical operational decisions.

• Maintain and extend a robust jobs-to-be-done (JTBD) framework, integrating new tool evaluations into the endorsed tool suite.

• Drive validation of new tooling and AI skill concepts in partnership with product, service, and operational teams before wider rollout.

• Deliver decision-ready recommendations that enhance enterprise tooling, AI adoption, and overall employee experience within IT and Operations.

📝 Enhancement Note: This role is positioned as a Senior Individual Contributor with a strong emphasis on autonomy and strategic impact within an operational context. The focus on "employee experience portfolio" for IT and Operations suggests a deep dive into internal tooling and processes, requiring a candidate who can translate complex user needs into tangible improvements for internal stakeholders.

📈 Primary Responsibilities

• Independently plan and conduct mixed-method (qualitative and quantitative) research studies aligned with priority IT & Ops initiatives, from initial scoping to actionable recommendations.

• Design and moderate research sessions to evaluate the effectiveness of AI-enabled self-service experiences and identify opportunities to improve IT support processes.

• Test and validate AI skill concepts to understand user needs, potential adoption barriers, and critical trust or validation requirements prior to broad implementation.

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

• Develop, maintain, and evolve the jobs-to-be-done (JTBD) framework to accurately represent user needs across the organization and inform decisions on tool endorsements.

• Produce comprehensive research plans, define participant recruitment strategies, and create all necessary study materials for key initiatives.

• Deliver decision-ready insights and strategic recommendations focused on AI-enabled self-service, AI skills, collaboration tools, and business process optimization opportunities.

• Collaborate closely with product, service, and operational teams to ensure tooling decisions are thoroughly validated before scaling across the enterprise.

📝 Enhancement Note: The responsibilities highlight a deep involvement in the entire research lifecycle, from planning to delivery and follow-through. The emphasis on "decision-ready recommendations" and "validation before broader rollout" indicates a direct impact on operational strategy and technology adoption, requiring a candidate who can influence stakeholders and drive change.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Human-Computer Interaction, Psychology, Sociology, Anthropology, Computer Science, or a related field is typically expected for senior UX research roles.

Experience: A minimum of 5 years of hands-on UX research experience as a senior individual contributor, with a proven track record of independently scoping, executing, and synthesizing research studies. Experience in enterprise internal tools, employee experience research, or complex cross-functional workflow analysis is crucial.

Required Skills:

• Proven ability to independently scope, execute, and synthesize mixed-method (qualitative and quantitative) research studies.

• Strong expertise in qualitative research methodologies, including user interviews, contextual inquiry, usability testing, and ethnographic research.

• Proficient in quantitative research methods such as surveys, data analysis, and statistical interpretation.

• Demonstrated experience in developing and applying strategic research frameworks, particularly Jobs-to-be-Done (JTBD) or comparable models, across multiple initiatives.

• Skill in translating complex research findings into clear, actionable, and decision-ready recommendations for product and operational stakeholders.

• Excellent stakeholder management and communication skills, with the ability to collaborate effectively with product, design, engineering, operations, and service teams.

• Proficiency in common research platforms for participant recruitment, moderated and unmoderated studies, survey deployment, and data synthesis.

• Familiarity with enterprise product, service, and operational workflows.

• Experience with research repositories and documentation tools for maintaining traceable research artifacts, findings, and decisions.

• Upper-intermediate English proficiency for effective communication and reporting. Preferred Skills:

• Experience researching AI-enabled products, assistants, or automation, with a focus on user trust, reliance, and adoption barriers.

• Background in employee experience, IT Service Management (ITSM), self-service support systems, or digital workplace tools.

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

• Proven track record of research influencing enterprise tooling, AI adoption strategies, or service experience improvements.

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

• Experience in transforming complex qualitative and quantitative data into actionable insights that streamline workflows and reduce user confusion.

• Familiarity with partnering through product launch phases and contributing to post-launch measurement and iteration.

📝 Enhancement Note: The "Must Haves" strongly emphasize the ability to work autonomously and strategically. The preferred skills point towards a specialization in AI and employee experience within an enterprise setting, suggesting the company is at the forefront of adopting new technologies for its internal operations.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase case studies demonstrating the independent scoping, execution, and synthesis of complex mixed-method research projects.

• Include examples of how your research directly informed product or operational decisions, with clear articulation of the problem, methodology, findings, and impact.

• Present evidence of developing and applying a strategic research framework, such as Jobs-to-be-Done (JTBD), to guide product strategy and tool evaluation.

• Demonstrate experience in documenting and communicating research findings effectively to diverse stakeholders, including product managers, engineers, and operations leaders.

• Highlight projects involving enterprise internal tools, employee experience, or complex workflow optimization. Process Documentation:

• Detail your approach to creating research plans, including defining research objectives, participant criteria, and methodology selection.

• Illustrate your process for synthesizing qualitative and quantitative data into actionable insights and decision-ready recommendations.

• Provide examples of how you have maintained traceable research artifacts, findings, and decisions within collaborative documentation systems.

• Showcase your experience in partnering with cross-functional teams throughout the research and product development lifecycle, from ideation to validation and post-launch analysis.

📝 Enhancement Note: The emphasis on a "portfolio" and "process documentation" suggests that candidates will be expected to present tangible evidence of their research capabilities and strategic thinking. For this role, showcasing how research directly influences operational tool adoption and employee experience improvements will be critical.

💵 Compensation & Benefits

Salary Range:

Given the Senior UX Researcher title, 5+ years of experience, and a fully remote role in Argentina, a competitive salary range would be estimated between ARS $1,500,000 to ARS $2,500,000 per month. This estimation is based on current market data for senior-level UX researchers in Argentina, considering the high demand for specialized skills in AI and enterprise tooling research, and factoring in the cost of living in Mendoza.

Benefits:

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

• Competitive compensation: Recognition reflecting skills and impact, with regular performance and compensation reviews.

• Flexibility: 100% remote work arrangement with flexible hours to support focus, autonomy, and a healthy work-life rhythm.

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

• Collaborative culture: A supportive environment with an emphasis on welcoming ideas and recognizing contributions, free from micromanagement.

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

Working Hours: Standard full-time hours are expected, likely around 40 hours per week, with the flexibility to manage daily schedules to optimize productivity and work-life balance.

📝 Enhancement Note: The salary range is an estimate based on general market data for senior UX roles in Argentina. Actual compensation will depend on the candidate's specific experience, skill set, and negotiation. The benefits package strongly emphasizes professional growth and work-life balance, aligning with a modern, employee-centric company culture.

🎯 Team & Company Context

🏢 Company Culture

Industry: AgileEngine operates within the Software Development and IT Services industry, focusing on creating award-winning software solutions for Fortune 500 brands and startups. Their expertise spans application development and AI/ML, positioning them as a leader in technological innovation.

Company Size: AgileEngine is an Inc. 5000 company, indicating significant growth and a substantial employee base, likely in the range of 500-1000+ employees. This size suggests a structured organization with established processes, but still agile enough to foster innovation and individual impact.

Founded: Founded to create cutting-edge software solutions, AgileEngine has a history of building award-winning products. While the exact founding date isn't provided, their Inc. 5000 recognition points to a company with a solid track record and sustained growth.

Team Structure:

• The UX Research team likely consists of experienced researchers, with this role being a senior individual contributor.

• Collaboration is expected across various departments, including Product Management, Design, Engineering, and crucially, IT and Operations teams.

• The reporting structure for this role is likely to be within a product or design leadership framework, with direct interaction with operational stakeholders. Methodology:

• AgileEngine emphasizes data-driven decision-making and leverages modern technologies.

• Their approach to software creation is likely agile, focusing on iterative development and continuous improvement.

• For this role, the methodology will heavily involve mixed-method research, applying strategic frameworks like JTBD, and ensuring cross-functional alignment.

Company Website: https://agileengine.com/

📝 Enhancement Note: AgileEngine's "people-first culture" and Inc. 5000 status suggest a dynamic and growth-oriented environment. For a Senior UX Researcher, this means opportunities to work on impactful projects with leading brands while being part of a company that values employee development and well-being. The focus on IT and Operations employee experience indicates a strategic internal initiative that the company is investing in.

📈 Career & Growth Analysis

Operations Career Level: This role is defined as a "Senior UX Researcher," indicating an advanced individual contributor level. It requires significant autonomy in scoping, executing, and synthesizing research, with a direct impact on strategic decisions related to enterprise tooling and AI adoption within IT and Operations.

Reporting Structure: While not explicitly detailed, a Senior UX Researcher typically reports to a Lead UX Researcher, UX Manager, Director of Product, or a similar senior role within the product or design organization. This role will require close collaboration and reporting to product, service, and operational teams.

Operations Impact: The Senior UX Researcher will have a significant impact on operational efficiency and employee productivity by providing critical insights into the usability and effectiveness of internal IT and Operations tools. Their work will directly influence decisions on technology adoption, AI implementation, and process optimization, ultimately improving the employee experience and driving better business outcomes.

Growth Opportunities:

• Skill Specialization: Deepen expertise in AI-enabled product research, employee experience research, and advanced JTBD framework application.

• Leadership Development: Potential to mentor junior researchers, lead research initiatives, and influence product strategy with a focus on operational excellence.

• Cross-Functional Influence: Grow through extensive collaboration with diverse teams, building strategic relationships and influencing decision-making across the organization.

• Learning & Development: Benefit from a dedicated annual learning budget, internal TechTalks, and mentorship to continuously advance UX research capabilities and stay abreast of emerging technologies.

📝 Enhancement Note: The "Growth without limits" perk is a strong indicator that AgileEngine invests in its employees' development. For a Senior UX Researcher, this translates to opportunities for deep specialization, strategic influence, and leadership within the operations and product domains.

🌐 Work Environment

Office Type: This position is 100% remote, offering a flexible work environment without the need for a physical office presence.

Office Location(s): While the role is remote, the specific location of the candidate is Mendoza, Argentina. AgileEngine is a global company with employees in various locations, suggesting a distributed team structure.

Workspace Context:

• The remote work setup allows for a personalized workspace, fostering autonomy and focus.

• Collaboration will primarily occur through digital tools, requiring strong communication and digital etiquette.

• The "collaborative culture" implies an environment where remote team members are actively included and encouraged to participate.

• Access to local well-being programs and support tailored to the employee's location in Argentina will be available.

Work Schedule: The role offers flexible hours, allowing the Senior UX Researcher to manage their workday to optimize productivity and integrate personal commitments. This flexibility is a key benefit for a remote position, enabling a healthy work rhythm.

📝 Enhancement Note: The 100% remote and flexible hours are significant benefits for a Senior UX Researcher, allowing for deep work and personal autonomy. The company's commitment to local well-being programs demonstrates a thoughtful approach to supporting its distributed workforce.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio to assess experience, skills, and fit with the role's requirements, particularly in mixed-method research and JTBD frameworks.

• Hiring Manager Interview: A discussion with the hiring manager to delve deeper into your experience, research methodologies, stakeholder management approach, and understanding of enterprise tooling and employee experience. Expect questions about how you've independently scoped and executed complex studies.

• Technical/Skills Interview: This may involve a deep dive into specific research techniques, data synthesis, and how you translate findings into actionable recommendations. You might be asked to discuss your experience with AI research or enterprise internal tools.

• Case Study Presentation/Portfolio Review: A critical stage where you'll present a relevant case study from your portfolio, demonstrating your research process, strategic thinking, and impact. Focus on how you applied JTBD or similar frameworks and influenced decisions.

• Cross-functional Team Interviews: Meet with potential collaborators from product, engineering, or operations to assess your collaboration style, communication skills, and ability to integrate research insights into operational workflows.

• Final Interview: Likely with a senior leader to discuss overall fit, career aspirations, and confirm alignment with AgileEngine's culture and values.

Portfolio Review Tips:

• Highlight Autonomy and Strategy: Showcase projects where you independently led research initiatives from start to finish, emphasizing strategic planning and framework application (e.g., JTBD).

• Focus on Impact: Quantify the impact of your research whenever possible. Demonstrate how your insights led to tangible improvements in enterprise tooling, AI adoption, or employee experience.

• Showcase Mixed Methods: Include examples that clearly illustrate your proficiency in both qualitative and quantitative research, and how you synthesized findings from both.

• Document Your Process: Clearly articulate your research process, including problem definition, methodology, participant recruitment, data analysis, and recommendation delivery.

• Tailor to the Role: Emphasize projects related to internal tools, employee experience, IT operations, or AI-enabled services, as these are core to the position.

Challenge Preparation:

• Prepare a Strong JTBD Case Study: Be ready to walk through an example of how you developed, applied, and evolved a JTBD framework and how it influenced product or operational decisions.

• Anticipate AI Research Scenarios: Think about how you would approach researching AI-enabled self-service experiences, focusing on user trust, adoption barriers, and validation needs.

• Practice Stakeholder Communication: Prepare to discuss how you manage relationships with diverse stakeholders, present complex findings concisely, and drive consensus.

• Demonstrate Problem-Solving: Be ready to discuss how you tackle ambiguous research problems and translate them into clear research plans and actionable insights.

📝 Enhancement Note: The interview process emphasizes the candidate's ability to operate autonomously, strategically, and collaboratively. A strong portfolio showcasing impact and a deep understanding of the role's specific focus areas (AI, employee experience, enterprise tooling) will be crucial for success.

🛠 Tools & Technology Stack

Primary Tools:

• Research Platforms: Proficiency with common platforms for participant recruitment (e.g., UserTesting, Respondent), moderated and unmoderated usability testing (e.g., Lookback, Maze), survey deployment (e.g., SurveyMonkey, Qualtrics, Google Forms), and data synthesis.

• Collaboration & Documentation: Experience with tools like Confluence, Jira, Notion, Google Workspace (Docs, Sheets, Slides), or similar systems for maintaining traceable research artifacts, findings, and decisions.

• Data Analysis: Familiarity with tools for qualitative data analysis (e.g., Dovetail, NVivo) and quantitative data analysis (e.g., Excel, Google Sheets, potentially statistical software like R or SPSS for advanced analysis).

Analytics & Reporting:

• While not a direct analytics role, an understanding of how to leverage usage data, system logs, or performance metrics to inform research questions and validate findings would be beneficial.

• Ability to create clear, visual, and concise stakeholder readouts and presentations using tools like PowerPoint, Google Slides, or data visualization software. CRM & Automation:

• Experience researching or understanding the impact of enterprise CRM systems or automation tools on employee workflows and experiences would be advantageous.

📝 Enhancement Note: The job description mentions "common research platforms" and "collaboration and documentation systems to maintain traceable research artifacts." While specific tools aren't listed, candidates should be prepared to discuss their experience with industry-standard UX research tools and project management/documentation software.

👥 Team Culture & Values

Operations Values:

• Data-Driven Decision Making: A strong emphasis on using research insights to inform strategic decisions for product development and operational improvements.

• User-Centricity: A commitment to understanding and advocating for the employee/user experience, even within internal tooling contexts.

• Collaboration & Partnership: Valuing close working relationships with product, engineering, and operational teams to ensure research is integrated and impactful.

• Impact & Ownership: Taking ownership of research projects and driving them to deliver tangible results and positive change.

• Continuous Improvement: A proactive approach to evolving research methodologies and frameworks (like JTBD) to better serve the organization's needs.

Collaboration Style:

• Cross-functional Integration: Expectation to work seamlessly with diverse teams, bridging the gap between research insights and operational implementation.

• Proactive Communication: Maintaining open and transparent communication channels with stakeholders, providing regular updates and seeking feedback.

• Knowledge Sharing: A culture that encourages sharing research findings, best practices, and learnings across teams to foster collective growth and understanding.

• Agile and Iterative: Embracing an agile mindset to adapt research plans and deliverables based on evolving project needs and stakeholder feedback.

📝 Enhancement Note: AgileEngine's "people-first culture" and emphasis on collaboration suggest a supportive and inclusive environment. For operations-focused roles, this means being part of a team that values efficiency, impact, and a user-centric approach to internal systems.

⚡ Challenges & Growth Opportunities

Challenges:

• Complexity of Enterprise Tooling: Navigating and researching complex, often legacy, enterprise systems that may have established user behaviors and resistance to change.

• Balancing Strategic Frameworks with Tactical Needs: Effectively applying the JTBD framework to a broad portfolio while also addressing immediate, tactical research requests from various operational teams.

• Driving Adoption of AI-Enabled Experiences: Researching user adoption barriers, trust issues, and validation needs for new AI technologies within an enterprise context.

• Influencing Operational Decisions: Translating research findings into actionable recommendations that resonate with and influence IT and Operations leaders to drive tooling and process changes.

Learning & Development Opportunities:

• Deep Dive into AI Research: Gain hands-on experience researching cutting-edge AI applications, user trust, and adoption patterns within enterprise environments.

• Mastering JTBD Frameworks: Further develop expertise in applying and evolving the Jobs-to-be-Done framework for strategic product and operational planning.

• Cross-Functional Expertise: Expand knowledge of IT and Operations workflows, service management, and internal business processes through close collaboration.

• Leadership and Mentorship: Opportunities to lead significant research initiatives, mentor junior colleagues, and contribute to shaping the UX research practice within AgileEngine.

📝 Enhancement Note: The challenges presented are typical for senior roles focused on internal operations and emerging technologies. The growth opportunities are substantial, offering a path for specialization and leadership within a forward-thinking company.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you independently scoped and executed a complex mixed-method research study. What was the problem, your approach, and the impact of your findings?" (Focus on autonomy, methodology, and quantifiable results.)

• "How have you applied or evolved a Jobs-to-be-Done framework in a previous role? Provide an example of how it influenced product or operational decisions." (Highlight strategic thinking and framework application.)

• "Imagine you need to research the adoption barriers for a new AI-enabled self-service tool for IT support. What would be your research plan, and what key areas would you focus on?" (Demonstrate understanding of AI research, user trust, and operational contexts.) Company & Culture Questions:

• "What interests you about AgileEngine and this specific role focusing on IT and Operations employee experience?" (Showcase research into the company and alignment with the role's unique focus.)

• "How do you approach collaborating with product managers, engineers, and operational teams to ensure your research insights are understood and acted upon?" (Assess stakeholder management and communication skills.)

• "How do you ensure your research contributes to tangible business outcomes and influences enterprise tooling decisions?" (Focus on impact measurement and strategic contribution.) Portfolio Presentation Strategy:

• Select 2-3 High-Impact Case Studies: Choose projects that best demonstrate your senior-level capabilities, autonomy, mixed-methods expertise, and direct influence on product/operational decisions. Prioritize those involving internal tools, employee experience, or AI.

• Structure for Clarity: For each case study, clearly outline: The Business/User Problem, Your Role & Responsibilities, Research Objectives, Methodology (why you chose it), Key Findings, Recommendations, and the Impact/Outcome.

• Quantify Impact: Wherever possible, use metrics to demonstrate the success of your recommendations (e.g., reduction in support tickets, increase in self-service adoption, improved user satisfaction scores).

• Highlight JTBD Application: If applicable, dedicate a section or clearly articulate how you used JTBD or a similar framework to drive strategic direction.

• Be Prepared for Deep Dives: Anticipate questions about your methodology choices, synthesis process, and how you handled challenges or unexpected findings.

📝 Enhancement Note: Interview preparation should focus on demonstrating a strong command of research methodologies, strategic thinking (especially with JTBD), and the ability to translate complex findings into actionable insights for operational stakeholders. The portfolio is key to showcasing these abilities.

📌 Application Steps

To apply for this operations-aligned UX Research 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 your work on enterprise internal tools, employee experience, and complex workflows. Integrate keywords like "mixed-method research," "Jobs-to-be-Done," "AI-enabled self-service," and "stakeholder management."

• Curate Your Portfolio: Select 2-3 compelling case studies that showcase your ability to independently scope, execute, and synthesize research. Prioritize projects demonstrating impact on operational efficiency or employee experience, and clearly articulate your JTBD framework application if applicable.

• Prepare Your Case Study Presentation: Practice walking through your chosen case studies, focusing on clarity, impact, and your strategic approach. Be ready to discuss your methodology and how your findings influenced decisions.

• Research AgileEngine: Understand their mission, values, and recent work (especially in AI/ML and software development). Prepare to articulate why you are a good cultural fit and how your skills align with their focus on award-winning software and employee experience.

⚠️ 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.