Senior UX Researcher ID84743

📍 Job Overview

Job Title: Senior UX Researcher ID84743

Company: AgileEngine

Location: Santiago del Estero, Santiago del Estero, Argentina

Job Type: Full-time

Category: User Experience (UX) Research / Operations Research

Date Posted: 2026-08-25

Experience Level: Senior (5+ years)

Remote Status: Fully Remote

🚀 Role Summary

• Spearhead hands-on UX research initiatives focused on the IT and Operations employee experience portfolio, driving continuous improvement through data-driven insights.

• Independently scope, design, and execute mixed-method research studies to evaluate AI-enabled self-service experiences and test novel AI skill concepts.

• Synthesize complex research findings into clear, actionable recommendations for product, service, and operational teams to inform enterprise tooling decisions.

• Maintain and evolve a strategic Jobs-to-Be-Done (JTBD) framework, ensuring its alignment with current and future initiatives and the endorsed tool suite.

• Collaborate closely with cross-functional stakeholders, including product managers, designers, engineers, and operational leads, to validate tooling solutions prior to widespread rollout.

📝 Enhancement Note: This role emphasizes a senior individual contributor with the autonomy to lead research projects from inception to actionable outcomes. The focus on IT and Operations employee experience, coupled with AI-enabled self-service, points to a critical function in optimizing internal workflows and technology adoption within a large enterprise context.

📈 Primary Responsibilities

• Independently plan, conduct, and moderate mixed-method (qualitative and quantitative) research studies to address ambiguous questions within priority IT & Ops initiatives.

• Design and execute research specifically to evaluate the effectiveness and user experience of AI-enabled self-service solutions and to improve overall IT support experiences.

• Conduct targeted research to test AI skill concepts, identifying key jobs-to-be-done, potential adoption barriers, and user trust/validation needs.

• Synthesize research findings into comprehensive reports, clear recommendations, and compelling stakeholder readouts that detail implications and propose actionable next steps.

• Develop, maintain, and extend the Jobs-to-Be-Done (JTBD) framework to accurately represent user needs across the organization and to guide the evaluation of new tools against the endorsed tool suite.

• Produce detailed research plans, participant recruitment strategies, and all necessary 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 opportunities.

• Partner proactively with product, service, and operational teams to validate tooling decisions and ensure successful integration before scaling.

📝 Enhancement Note: The responsibilities highlight a strong emphasis on end-to-end research ownership, strategic framework application (JTBD), and direct impact on enterprise tooling and AI adoption within internal operations. The role requires a proactive approach to identifying research needs and translating insights into tangible business improvements.

🎓 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 a Senior UX Researcher.

Experience: A minimum of 5 years of hands-on UX research experience at a senior individual contributor level, demonstrating the ability to independently scope, execute, and synthesize research studies. Experience researching enterprise internal tools, employee experience, or complex cross-functional workflows is crucial.

Required Skills:

• 5+ years of hands-on UX research experience with proven ability to independently manage research projects from ambiguity to recommendation.

• Strong expertise in qualitative and quantitative research methodologies, including method selection, execution, and analysis.

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

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

• Extensive experience developing and applying a Jobs-to-Be-Done (JTBD) or comparable strategic research framework across multiple initiatives, influencing product and operational decisions.

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

• Superior written and verbal communication abilities, including the capacity for concise research readouts and 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 utilizing collaboration and documentation systems to maintain 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.

• Familiarity with employee experience, IT Service Management (ITSM), self-service support systems, 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 that has demonstrably influenced 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 concrete actions that enhance self-service capabilities, reduce user confusion, or streamline workflows.

• Experience partnering with teams through product launch and post-launch measurement phases, extending research impact beyond initial delivery.

📝 Enhancement Note: The qualifications emphasize a blend of deep research craft, strategic thinking (JTBD), and strong interpersonal/communication skills essential for influencing internal enterprise stakeholders. The "nice to have" skills indicate a growing importance of AI and employee experience research within the company's operational strategy.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase end-to-end UX research projects, clearly detailing your role, the research questions, methodologies employed, and the impact of your findings.

• Include examples of how you have applied a Jobs-to-Be-Done (JTBD) framework or similar strategic research approach to drive product or operational decisions.

• Present case studies demonstrating your ability to research complex enterprise internal tools or employee experience challenges, highlighting how your insights led to tangible improvements.

• Provide evidence of your skills in synthesizing mixed-method research data into clear, actionable recommendations and stakeholder readouts.

• Demonstrate experience in planning and executing research for AI-enabled features or self-service experiences, including how you assessed user trust and adoption barriers. Process Documentation:

• Highlight your experience in documenting research plans, participant recruitment strategies, and study materials, ensuring clarity and reproducibility.

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

• Illustrate your process for translating research insights into product requirements, design iterations, or operational process improvements.

📝 Enhancement Note: For a Senior UX Researcher role, a portfolio is critical for demonstrating practical application of research skills. Emphasis should be placed on strategic frameworks like JTBD and the ability to translate complex data into actionable business insights, particularly within the enterprise and AI context described.

💵 Compensation & Benefits

Salary Range: Given the senior level, the location in Argentina, and the remote nature, a competitive salary range for a Senior UX Researcher in Santiago del Estero, Argentina, would typically fall between ARS $2,000,000 to ARS $4,500,000 per month, depending on experience and specific skill alignment. This estimate is based on typical market rates for senior tech roles in Argentina, adjusted for remote work and the company's international presence, and considering the cost of living in Santiago del Estero.

Benefits:

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

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

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

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

• Collaborative culture: Be part of a supportive environment that values ideas and contributions, with zero micromanagement.

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

Working Hours: The role specifies flexible hours, typical for remote positions, allowing professionals to manage their workday effectively. A standard full-time commitment is generally 40 hours per week, with flexibility in scheduling to accommodate global team collaboration and personal needs.

📝 Enhancement Note: Salary estimations for Argentina can vary significantly due to economic conditions. The provided range is a benchmark. The benefits package emphasizes professional growth, autonomy, and work-life balance, which are key attractors for senior-level remote talent in the tech industry.

🎯 Team & Company Context

🏢 Company Culture

Industry: The company operates within the Software Development and IT Consulting sector, creating award-winning software for Fortune 500 brands and startups across 17+ industries. They have a strong presence in application development and AI/ML.

Company Size: AgileEngine is an Inc. 5000 company, suggesting a significant and growing organization, likely falling into the 500-1000+ employee range, with a global footprint. This size offers opportunities for impact within a structured environment.

Founded: Founded in 2011, AgileEngine has established itself as a reputable player in the software engineering and digital product development space over the past decade, building a track record of successful project delivery.

Team Structure:

• The UX Research function likely sits within a broader Product or Design organization, collaborating closely with Product Management, UX Design, and Engineering teams.

• The Senior UX Researcher will operate as a key individual contributor, potentially leading research efforts for specific product areas or initiatives, and may have opportunities to mentor junior researchers as the team grows.

• Cross-functional collaboration is fundamental, with regular interaction expected with IT operations, service delivery, and business stakeholders to ensure research directly informs enterprise tooling and employee experience strategies. Methodology:

• Data analysis and insights are central, with a strong emphasis on using research findings to drive evidence-based decision-making.

• Workflow planning and optimization are key, particularly concerning the internal employee experience and the efficiency of enterprise tooling.

• Automation and efficiency practices are likely encouraged, especially in the context of evaluating AI-enabled self-service solutions and optimizing operational processes.

Company Website: https://agileengine.com/

📝 Enhancement Note: AgileEngine's positioning as an Inc. 5000 company and its focus on AI/ML suggest a forward-thinking, technologically advanced environment. The emphasis on a "people-first culture" and "Best Place to Work" awards indicates a commitment to employee well-being and a collaborative atmosphere, which is crucial for a remote-first organization.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a "Senior" individual contributor level, implying a high degree of autonomy, expertise, and the ability to independently drive significant research initiatives. The focus on strategic frameworks like JTBD and influencing tooling decisions suggests a role that contributes directly to operational strategy, not just tactical execution.

Reporting Structure: The Senior UX Researcher will likely report to a Head of UX Research, a Director of Product Design, or a similar senior leadership role within the product development or research organization. They will collaborate extensively with Product Managers, Engineering Leads, and Operations Managers.

Operations Impact: The UX Researcher's work will directly impact the efficiency, effectiveness, and satisfaction of internal IT and Operations teams. By validating enterprise tooling and evaluating AI-enabled self-service experiences, the role plays a crucial part in streamlining internal workflows, reducing operational friction, and enhancing overall employee productivity. This, in turn, contributes to the company's ability to deliver high-quality software and services to its clients.

Growth Opportunities:

• Operations Skill Advancement: Deepen expertise in AI/ML research, employee experience design, and advanced qualitative/quantitative methodologies. Opportunity to become a subject matter expert in enterprise tooling research.

• Leadership Development: Potential to mentor junior researchers, lead research for major initiatives, and contribute to the strategic direction of the UX Research practice within AgileEngine.

• Cross-Functional Exposure: Gain in-depth understanding of various enterprise operational functions, product development lifecycles, and stakeholder management complexities.

📝 Enhancement Note: The "Senior" title and the nature of the responsibilities, particularly around strategic frameworks and influencing enterprise tooling, suggest a path towards specialized leadership or architect roles within UX Research or potentially broader operational strategy.

🌐 Work Environment

Office Type: This is a fully remote position, offering the flexibility and autonomy associated with working from home or a chosen location.

Office Location(s): While the role is remote, the specific location is Santiago del Estero, Santiago del Estero, Argentina. AgileEngine also has offices in other locations, suggesting a global presence that fosters diverse perspectives.

Workspace Context:

• The remote nature of the role necessitates strong self-discipline and effective communication tools to maintain team cohesion and collaboration.

• While there isn't a physical office workspace, it's expected that the company provides access to necessary software and collaboration platforms to facilitate research and teamwork.

• Opportunities for interaction will primarily be through virtual meetings, asynchronous communication channels (e.g., Slack, Teams), and collaborative documentation platforms.

Work Schedule: The role offers flexible hours, aligning with a remote work setup. While a standard full-time commitment (e.g., 40 hours/week) is expected, the flexibility allows for managing personal schedules and optimizing productivity, while ensuring availability for essential team syncs and global collaboration.

📝 Enhancement Note: The fully remote and flexible nature of this role is a significant aspect. Candidates should be comfortable with asynchronous communication and proactive engagement to thrive in this environment, ensuring they can effectively collaborate with distributed teams.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will likely conduct an initial call to assess overall fit, experience level, and understanding of the role's core responsibilities, with a focus on your UX research background and familiarity with enterprise environments.

• Technical Interview / Portfolio Review: This stage will involve a deep dive into your past UX research projects. Be prepared to present 2-3 key case studies from your portfolio, detailing your methodology, findings, and the impact of your work, particularly focusing on enterprise tooling, employee experience, or JTBD applications.

• Hiring Manager Interview: A conversation with the hiring manager to discuss your strategic approach to research, your experience with AI-enabled features, your stakeholder management skills, and how you would approach the specific challenges of this role.

• Team/Cross-functional Interview: You may meet with other team members (e.g., product managers, designers, engineers, operations leads) to assess collaboration style, communication effectiveness, and cultural fit within the broader AgileEngine team.

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

Portfolio Review Tips:

• Focus on Impact: Clearly articulate the business impact and user value derived from your research. Quantify outcomes where possible (e.g., "reduced support tickets by X%", "improved task completion time by Y%").

• Highlight JTBD Application: For this role, specifically showcase projects where you applied or evolved a Jobs-to-Be-Done framework. Explain how it guided your research and influenced decisions.

• Demonstrate Mixed-Methods Expertise: Present projects that effectively combine qualitative and quantitative approaches, explaining why each method was chosen and how the findings were synthesized.

• Showcase Enterprise Context: Include examples of research conducted for internal tools, complex workflows, or employee experiences. Detail your approach to stakeholder management in these environments.

• AI/Self-Service Focus: If you have experience researching AI-enabled products, assistants, or self-service platforms, make these projects prominent. Discuss how you assessed user trust and adoption.

• Conciseness and Clarity: Ensure your presentations are well-structured, easy to follow, and tailored to the specific requirements of this Senior UX Researcher role.

Challenge Preparation:

• Be ready to discuss hypothetical research scenarios related to evaluating AI self-service tools or improving IT operational workflows.

• Prepare to explain how you would approach scoping a research project with ambiguous goals.

• Practice articulating complex research findings and their implications to non-research audiences (e.g., product managers, engineers).

📝 Enhancement Note: The emphasis on a portfolio review and specific case studies, particularly those involving JTBD and enterprise tooling, indicates that this stage is critical for assessing practical research capabilities and strategic thinking relevant to the role.

🛠 Tools & Technology Stack

Primary Tools:

• Research Platforms: Proficiency with common platforms for participant recruitment (e.g., UserTesting, Respondent.io), moderated and unmoderated studies (e.g., UserTesting, Lookback, Maze), surveys (e.g., SurveyMonkey, Qualtrics, Google Forms), and synthesis tools.

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

• Prototyping/Design Tools (Familiarity): While not a primary requirement, familiarity with tools like Figma, Sketch, or Adobe XD can be beneficial for understanding design outputs and collaborating with designers.

Analytics & Reporting:

• Data Analysis Tools: Experience with statistical analysis tools (e.g., SPSS, R, Python libraries like Pandas/NumPy) for quantitative data, and qualitative analysis tools (e.g., Dovetail, NVivo) or manual coding techniques for qualitative data.

• Visualization Tools: Ability to create clear charts and graphs using tools like Excel, Google Sheets, Tableau, or within reporting platforms to communicate findings effectively.

CRM & Automation:

• CRM Systems (Understanding): Familiarity with how CRM data (e.g., Salesforce) might inform user segmentation or research participant criteria, though direct CRM management is unlikely to be a core responsibility.

• Automation Tools (Awareness): Understanding of how automation impacts user workflows and experiences, particularly in the context of AI-enabled self-service and internal tooling.

📝 Enhancement Note: The job description explicitly mentions "common research platforms" and "collaboration and documentation systems." While specific names aren't given for all, the emphasis is on the ability to use such tools effectively for research execution, documentation, and stakeholder communication.

👥 Team Culture & Values

Operations Values:

• Data-Driven Decision Making: A core value is leveraging research and data to inform strategic choices regarding enterprise tooling and employee experience.

• Efficiency and Optimization: A drive to identify and implement improvements in internal workflows, self-service capabilities, and operational processes through user-centered insights.

• Collaboration and Partnership: A strong emphasis on working effectively across diverse teams (product, engineering, operations, service) to achieve shared goals and ensure research impact.

• Innovation and Impact: A culture that encourages exploring new technologies (like AI) and applying research to create meaningful, positive impacts on the employee experience and business outcomes.

• Continuous Learning: Encouraging team members to grow their skills, stay abreast of industry trends, and share knowledge to foster collective improvement.

Collaboration Style:

• Cross-functional Integration: The role requires seamless collaboration with product managers, designers, engineers, and IT/operations teams, ensuring research is embedded throughout the development lifecycle.

• Process Review and Feedback: An open environment where research processes and findings are shared, discussed, and refined through constructive feedback from stakeholders.

• Knowledge Sharing: Actively participating in knowledge sharing sessions, documenting insights, and contributing to a centralized repository of research knowledge to benefit the wider organization.

📝 Enhancement Note: The company's emphasis on a "people-first culture" and "collaboration" suggests a supportive and inclusive environment. For this role, the values likely translate into a research practice that is deeply integrated with business objectives and fosters strong relationships with internal stakeholders.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Ambiguity: The role involves tackling research questions that may initially be ill-defined, requiring the ability to scope and clarify objectives independently.

• Influencing Enterprise Stakeholders: Gaining buy-in and driving action on research recommendations within a large enterprise, potentially across multiple departments with competing priorities.

• Evaluating Emerging Technologies: Researching AI-enabled features requires understanding user perceptions of trust, reliability, and adoption barriers for novel technologies.

• Maintaining JTBD Framework: Ensuring the Jobs-to-Be-Done framework remains current, relevant, and actively used across various initiatives can be an ongoing challenge.

Learning & Development Opportunities:

• Specialized AI Research: Opportunities to become an expert in researching AI-driven products, user trust, and adoption patterns.

• Enterprise Operations Deep Dive: Gaining comprehensive knowledge of internal enterprise tooling, IT service management, and operational workflows.

• Strategic Framework Mastery: Further developing expertise in strategic research frameworks like JTBD and their application in enterprise settings.

• Mentorship and Leadership: Potential to mentor junior researchers and take on leadership roles in driving research strategy for key product areas.

📝 Enhancement Note: The challenges presented are typical for senior roles in dynamic environments, particularly those involving new technologies and cross-functional influence. The growth opportunities are directly tied to the specific domain of the role, offering a clear path for skill development and career progression.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you independently scoped and executed a complex UX research study for an enterprise internal tool. What was your approach, what were the key findings, and how did they influence decisions?" (Focus on your end-to-end ownership, methodology, and impact.)

• "How would you approach researching the adoption barriers and trust factors for a new AI-powered self-service tool for IT support?" (Prepare to discuss your methods for assessing user perceptions of AI.)

• "Walk me through how you have used or evolved a Jobs-to-Be-Done framework in a previous role. How did it connect to product or operational decisions?" (Be ready to articulate the JTBD process and its strategic value.) Company & Culture Questions:

• "Based on your understanding of AgileEngine, how do you see UX research contributing to our mission of creating award-winning software and optimizing employee experiences?" (Research AgileEngine's values, industry position, and recent projects.)

• "How do you approach collaborating with product managers, designers, and engineers, especially in a remote environment?" (Highlight your communication and stakeholder management skills.)

• "How do you ensure your research findings translate into actionable insights that drive measurable improvements in enterprise tooling or employee experience?" (Prepare specific examples of impact.) Portfolio Presentation Strategy:

• Structure Your Case Studies: For each project, clearly outline: The Problem/Opportunity, Your Role & Responsibilities, Research Questions, Methodology, Key Findings, Recommendations, and Impact/Outcome.

• Emphasize JTBD: If presenting a JTBD project, clearly map out the "jobs" and how your research addressed them.

• Quantify Impact: Use data and metrics wherever possible to demonstrate the value of your research (e.g., efficiency gains, adoption rates, user satisfaction improvements).

• Tell a Story: Frame your presentations as compelling narratives that showcase your problem-solving skills, strategic thinking, and ability to drive change.

• Be Prepared for Deep Dives: Anticipate questions about your specific contributions, methodological choices, and how you handled challenges.

📝 Enhancement Note: Interview preparation should focus on demonstrating expertise in enterprise UX research, strategic framework application (JTBD), and the ability to influence cross-functional teams, particularly concerning AI and internal tooling.

📌 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, specifically mentioning your work with enterprise internal tools, employee experience, mixed-method research, and the Jobs-to-Be-Done framework. Use keywords from the job description.

• Prepare your portfolio: Curate 2-3 of your strongest UX research projects that best exemplify your skills in scoping, executing, and synthesizing studies, particularly those involving enterprise contexts, JTBD, or AI/self-service. Ensure clear articulation of your role, methodology, findings, and impact.

• Practice your presentation: Rehearse presenting your portfolio case studies, focusing on clarity, conciseness, and demonstrating your strategic thinking and communication abilities. Be ready to discuss your approach to research challenges and stakeholder management.

• Research AgileEngine: Understand the company's mission, values, industry position, and recent projects. Prepare to discuss how your skills and experience align with their goals, especially concerning their focus on AI/ML and award-winning software development.

⚠️ 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.