Senior UX Researcher ID84743
π Job Overview
Job Title: Senior UX Researcher ID84743
Company: AgileEngine
Location: Bariloche, RΓo Negro, Argentina
Job Type: Full time
Category: User Experience Research / Operations
Date Posted: 2026-08-25
Experience Level: 5-10 years
Remote Status: Fully Remote
π Role Summary
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This Senior UX Researcher role focuses on providing critical research continuity for an IT and Operations employee experience portfolio, emphasizing the evaluation of AI-enabled self-service solutions and enterprise tooling.
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The position requires independent scoping and execution of mixed-method studies to uncover actionable insights that inform decisions regarding AI skill concepts and enterprise software adoption.
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A core responsibility will be maintaining and extending a jobs-to-be-done (JTBD) framework across various initiatives, ensuring alignment with endorsed tool suites and strategic objectives.
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The role involves close collaboration with product, service, and operational teams to validate tooling decisions and ensure successful integration into existing workflows before broader rollout.
π Enhancement Note: While the title is "Senior UX Researcher," the responsibilities and context provided strongly indicate a focus on operations and internal tooling, particularly within IT and employee experience. This role bridges traditional UX research with operational efficiency and enterprise system adoption, making it highly relevant for operations professionals with a user-centric mindset. The emphasis on "employee experience portfolio" and "operational teams" suggests a deep dive into the tools and processes that support internal functions, rather than external customer-facing products.
π Primary Responsibilities
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Independently plan, scope, and conduct mixed-method (qualitative and quantitative) research studies to evaluate AI-enabled self-service experiences and improve IT support for employees.
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Design and moderate research initiatives to test AI skill concepts, identify core jobs-to-be-done, uncover adoption barriers, and assess trust and validation needs.
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Synthesize complex research findings into clear, actionable recommendations, well-documented research artifacts, and concise stakeholder readouts, highlighting implications and recommended next steps.
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Maintain and evolve the jobs-to-be-done (JTBD) framework, ensuring it accurately reflects current jobs across the organization and connects new tool evaluations to the endorsed tool suite for consistent adoption.
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Develop comprehensive research plans, participant recruitment strategies, and study materials for priority IT and Operations initiatives, ensuring robust data collection.
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Deliver decision-ready findings and recommendations that span AI-enabled self-service, AI skills, collaboration tools, and business-process optimization opportunities.
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Actively partner with product, service, and operational teams to validate tooling decisions, ensuring alignment with operational needs and user experience before scaling deployment.
π Enhancement Note: The responsibilities highlight a proactive and strategic approach to research, emphasizing its direct impact on operational efficiency and employee productivity through better tooling and AI integration. The role requires not just research execution but also the ability to translate findings into strategic recommendations and drive adoption through cross-functional collaboration.
π Skills & Qualifications
Education: While specific degrees are not explicitly mentioned, a Bachelor's or Master's degree in Human-Computer Interaction, Psychology, Sociology, Anthropology, Information Science, or a related field is typically expected for senior UX research roles.
Experience: 5+ years of hands-on UX research experience at a senior individual-contributor level, with a proven track record of independently scoping, executing, and synthesizing research studies. Experience researching enterprise internal tools, employee experience, or complex cross-functional workflows is essential.
Required Skills:
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Strong proficiency in qualitative and quantitative research methodologies, including study design, execution, and analysis.
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Demonstrated ability to independently scope, execute, and synthesize research studies from ambiguous questions to decision-ready recommendations.
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Proven experience developing and applying a jobs-to-be-done (JTBD) or comparable strategic research framework across multiple initiatives, influencing product and operational decisions.
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Excellent stakeholder management skills, with the ability to collaborate effectively across product, design, engineering, operations, and service teams.
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Exceptional written and verbal communication skills, with a talent for concise research readouts and executive-ready storytelling.
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Proficiency with common research platforms for participant recruitment, moderated and unmoderated studies, surveys, and synthesis.
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Experience working within enterprise product, service, and operational workflows.
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Comfort utilizing collaboration and documentation systems to maintain traceable research artifacts, findings, and decisions.
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Upper-intermediate English level. Preferred Skills:
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Experience researching AI-enabled products, assistants, automation, or emerging technology adoption, with a focus on trust, validation behavior, user reliance, and rollout readiness.
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Experience with employee experience platforms, IT service management (ITSM) tools, self-service support systems, or digital workplace solutions.
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Experience applying or evolving a jobs-to-be-done framework across multiple product or service areas, demonstrating strategic impact.
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Track record of delivering research that has demonstrably influenced enterprise tooling, AI adoption, or service experience decisions.
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Ability to connect individual research studies to a broader, ongoing strategic framework.
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Proven ability to translate complex findings into actionable insights that improve self-service, reduce confusion, or streamline workflows.
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Experience partnering with teams through product launch and post-launch measurement phases, extending research impact beyond initial delivery.
π Enhancement Note: The qualifications emphasize a blend of deep UX research expertise and practical understanding of enterprise environments and operational processes. The "Must Haves" are critical for success, while the "Nice to Haves" indicate areas where advanced experience would be highly beneficial and differentiate candidates, particularly concerning AI and employee-centric operational tools.
π Process & Systems Portfolio Requirements
Portfolio Essentials:
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A portfolio showcasing a minimum of 5 years of hands-on UX research experience, with a strong emphasis on projects related to enterprise internal tools, employee experience, or complex operational workflows.
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Detailed case studies demonstrating the independent scoping, execution, and synthesis of mixed-method research studies, from initial problem definition to actionable recommendations.
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Examples of how a jobs-to-be-done (JTBD) or similar strategic research framework was developed, applied, and how it influenced product or operational decisions.
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Demonstrations of translating complex research findings into clear, decision-ready recommendations and stakeholder readouts, including specific examples of impact.
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Evidence of collaboration with cross-functional teams (product, design, engineering, operations, service) and how research insights were integrated into their workflows. Process Documentation:
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Showcase experience in documenting research plans, participant recruitment strategies, and study materials for complex initiatives.
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Provide examples of creating research artifacts, findings, and decisions within collaboration and documentation systems, ensuring traceability.
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Illustrate how research findings have been used to validate tooling decisions before broader rollout and how they contributed to process optimization.
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Examples of how research has informed the improvement of AI-enabled self-service experiences or IT support processes.
π Enhancement Note: For a role like this, the portfolio is crucial. It needs to go beyond standard UX research projects and clearly demonstrate the ability to operate within an enterprise context, understand operational challenges, and apply strategic frameworks to drive tangible improvements in internal tools and processes. Highlighting the impact on efficiency, adoption, and employee experience will be key.
π΅ Compensation & Benefits
Salary Range: For a Senior UX Researcher with 5-10 years of experience in a fully remote role in Argentina, a competitive salary range would typically fall between ARS $1,500,000 to ARS $2,500,000 per month, depending on specific experience, skill set, and negotiation. This estimate is based on current market data for senior-level tech roles in Argentina, adjusted for remote work and the specialized nature of operations-focused UX research.
Benefits:
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Growth without limits: Access to mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget for professional development.
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Competitive compensation: Recognition for skills and impact with regular performance and compensation reviews.
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Flexibility: 100% remote work environment with flexible hours, promoting autonomy and work-life balance.
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Meaningful, modern projects: Opportunity to work on impactful products using modern technologies with global teams and leading brands.
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Collaborative culture: A supportive, non-micromanaged environment where ideas are welcomed and contributions are recognized.
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Well-being & support: Access to local well-being programs and people-focused support tailored to the employee's location.
Working Hours: The role is advertised as full-time, typically around 40 hours per week, with flexible hours to support autonomy and work rhythm. Given the remote nature and potential collaboration with global teams, some flexibility in scheduling may be required.
π Enhancement Note: The salary estimate is based on current market research for senior UX roles in Argentina, considering the remote aspect and the specialized nature of the role. Benefits are detailed as provided in the job description, highlighting the company's focus on employee growth, well-being, and a flexible work environment, which are attractive to operations professionals.
π― Team & Company Context
π’ Company Culture
Industry: Software Development & IT Consulting. AgileEngine operates within the technology sector, creating award-winning software solutions for a diverse range of clients, from Fortune 500 companies to startups, spanning over 17 industries. This broad exposure means operations and research insights can have wide-ranging applicability.
Company Size: AgileEngine is an Inc. 5000 company, suggesting a mid-to-large size organization with established processes but likely retaining agility and a growth-oriented mindset. This size typically offers opportunities for impact and career progression without the bureaucracy of very large enterprises.
Founded: Founded in 2011, AgileEngine has a decade-plus history, indicating stability and experience in the market. This longevity suggests a mature understanding of software development, client needs, and building a sustainable company culture.
Team Structure:
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The role is part of an IT and Operations employee experience portfolio, implying a dedicated focus on internal systems and processes that support the company's workforce.
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The Senior UX Researcher will likely work within a team that includes product managers, designers, engineers, and other operational specialists who are all focused on improving the internal employee journey.
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Collaboration is expected to be cross-functional, with direct interaction with product, service, and operational teams to ensure research findings are integrated into strategic decisions and tooling validation. Methodology:
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Data Analysis & Insights: The role is heavily data-driven, requiring the synthesis of qualitative and quantitative research to derive actionable insights. This involves understanding user behaviors, needs, and pain points within the IT and operations context.
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Workflow Planning & Optimization: A key aspect is maintaining and extending the jobs-to-be-done framework, which directly supports workflow planning and the optimization of internal processes and tools.
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Automation & Efficiency: Research will focus on AI-enabled self-service and enterprise tooling, directly contributing to efforts in automation and efficiency improvements for internal operations.
Company Website: https://agileengine.com/
π Enhancement Note: AgileEngine's positioning as an Inc. 5000 company and its focus on creating software for diverse industries suggests a dynamic and forward-thinking environment. For operations professionals, this means opportunities to work on impactful projects that leverage modern technologies, with a strong emphasis on data-driven decision-making and process improvement. The "people-first culture" and "zero micromanagement" are key indicators of a collaborative and empowering work environment.
π Career & Growth Analysis
Operations Career Level: This role is positioned at a senior individual contributor level within the UX Research domain, with a specific focus on internal operations and employee experience. It offers a path to deepen expertise in operational research, AI adoption, and enterprise tooling strategy, moving beyond traditional product UX.
Reporting Structure: While not explicitly stated, a Senior UX Researcher typically reports to a UX Research Lead, a Director of Product, or potentially a Head of Operations/Employee Experience, depending on the specific team structure. The role emphasizes collaboration with various departments, indicating a central, influential position.
Operations Impact: The Senior UX Researcher will have a significant impact on operational efficiency and employee productivity by ensuring that IT and operational tools are user-centric, effective, and aligned with employee needs and strategic objectives. Their work directly influences the adoption and success of AI-enabled solutions and enterprise software, streamlining workflows and improving the overall employee experience.
Growth Opportunities:
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Operations Skill Development: Deepen expertise in applying UX research principles to operational challenges, understanding enterprise systems, and evaluating AI-driven solutions within an organizational context.
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Strategic Framework Application: Gain extensive experience in developing, maintaining, and leveraging strategic frameworks like Jobs-to-Be-Done to drive organizational decision-making.
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Cross-Functional Leadership: Develop strong leadership and influencing skills through close collaboration with product, service, and operational teams, potentially leading research initiatives that shape broader company strategies.
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Specialized Expertise: Build a niche expertise in AI adoption research, employee experience platforms, and IT service management tooling, becoming a go-to expert in these areas.
π Enhancement Note: This role offers a unique opportunity for operations-minded individuals to leverage UX research skills within a corporate environment. The growth path leans towards strategic influence and specialized knowledge in operational technology and employee experience, rather than purely product-focused UX.
π Work Environment
Office Type: This is a 100% remote position, offering flexibility and autonomy. There is no requirement to be in an office.
Office Location(s): While the role is remote, the specific location mentioned is Bariloche, RΓo Negro, Argentina. This suggests that while the work is remote, the company may have a presence or target specific regions for its remote workforce, potentially for compliance or localized support.
Workspace Context:
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Collaborative Environment: Despite being remote, the culture emphasizes collaboration. The role requires active partnership with product, service, and operational teams, suggesting strong communication and virtual collaboration tools will be essential.
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Operations Tools & Technology: The role will likely involve using a range of research platforms, collaboration tools (e.g., Slack, Teams), documentation systems (e.g., Confluence, Notion), and potentially project management software. Specific tools for research repositories and documentation will be confirmed by the hiring manager.
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Team Interaction: Opportunities for interaction will be through virtual meetings, shared documentation, and collaborative platforms, fostering a connected remote team dynamic.
Work Schedule: The role is full-time with flexible hours, allowing individuals to manage their workday to optimize focus, autonomy, and work-life rhythm. This flexibility is beneficial for deep work required in research and analysis, as well as accommodating potential cross-time zone collaborations.
π Enhancement Note: The fully remote nature with flexible hours is a significant perk for operations professionals who often benefit from dedicated, uninterrupted time for analysis and process design. The emphasis on collaboration within a remote setting highlights the need for strong asynchronous and synchronous communication skills.
π Application & Portfolio Review Process
Interview Process:
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Initial Screening: A review of your resume and portfolio to assess experience, skills, and alignment with the role's requirements, particularly in enterprise research and JTBD frameworks.
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Hiring Manager Interview: A discussion focused on your experience with mixed-method research, stakeholder management, and your approach to tackling complex operational challenges. You'll likely be asked about specific projects and how you've translated research into actionable insights.
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Research Challenge/Case Study: A practical exercise where you might be asked to outline a research plan for a given scenario (e.g., evaluating a new AI tool for IT support), or present a past research project in detail. This is where your portfolio will be crucial.
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Team/Cross-Functional Interview: An opportunity to meet with potential collaborators from product, design, or operations teams to assess cultural fit, communication style, and collaborative approach.
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Final Interview: Potentially with a senior leader to discuss overall fit, strategic thinking, and long-term career aspirations.
Portfolio Review Tips:
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Curate Strategically: Focus on 3-4 of your strongest projects that best demonstrate your ability to scope, execute, and synthesize research for enterprise internal tools or employee experience.
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Highlight JTBD: Clearly articulate your experience with Jobs-to-Be-Done or similar strategic frameworks, showing how you've applied them to drive product and operational decisions.
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Showcase Impact: Quantify the impact of your research whenever possible. For operations roles, this means demonstrating improvements in efficiency, adoption rates, cost savings, or employee satisfaction.
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Detail Process: For each project, clearly outline the problem, your role, the methods used, your key findings, and the resulting recommendations and their impact.
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Storytelling: Present your work as compelling narratives that showcase your problem-solving skills, strategic thinking, and ability to influence stakeholders.
Challenge Preparation:
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Research Planning: Be prepared to outline a research plan for a hypothetical scenario involving enterprise tooling or AI adoption. Focus on methodology, participant recruitment, and how you'd measure success.
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JTBD Application: Practice articulating how you would apply or extend a JTBD framework to a new product or operational area.
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Stakeholder Communication: Prepare examples of how you've communicated complex research findings to diverse stakeholders (technical and non-technical) and how you've managed differing opinions or priorities.
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AI & Self-Service: Familiarize yourself with current trends and challenges in AI-enabled self-service and employee experience in enterprise settings.
π Enhancement Note: The interview process for this role will heavily weigh practical application and strategic thinking. Candidates should be prepared to demonstrate not just research skills but also a strong understanding of operational contexts and the ability to drive tangible business outcomes through their research. The portfolio is not just a showcase but a critical tool for demonstrating these capabilities.
π Tools & Technology Stack
Primary Tools:
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Research Platforms: Proficiency with common platforms for participant recruitment, moderated/unmoderated studies, surveys, and synthesis is required. Examples might include UserTesting.com, Maze, Qualtrics, SurveyMonkey, or similar tools for conducting and analyzing user research.
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Collaboration Systems: Experience with tools like Slack, Microsoft Teams, or similar for team communication and asynchronous collaboration.
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Documentation Systems: Familiarity with tools for maintaining traceable research artifacts, findings, and decisions. This could include Confluence, Notion, Google Workspace, or specific research repository tools (exact platforms to be confirmed with the hiring manager).
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Project Management Tools: While not explicitly stated, familiarity with tools like Jira, Asana, or Trello might be beneficial for tracking research initiatives and progress.
Analytics & Reporting:
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Data Analysis Tools: Skills in analyzing qualitative data (e.g., thematic analysis) and quantitative data (e.g., statistical analysis of survey results). Familiarity with spreadsheet software (Excel, Google Sheets) is a given.
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Visualization Tools: Ability to create clear, impactful visualizations for research findings and stakeholder readouts. This could involve using built-in features of research platforms or tools like Tableau or Power BI for more complex analyses.
CRM & Automation:
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While not a direct CRM role, understanding how user research impacts the employee experience with internal systems (which may include aspects of CRM or ITSM) is key.
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Experience with AI-enabled self-service and automation concepts is a plus, as the research will directly evaluate these.
π Enhancement Note: The emphasis on "common research platforms" and "collaboration and documentation systems" suggests a need for adaptability. Candidates should be prepared to highlight their experience with a broad range of tools and demonstrate how they leverage technology to conduct research efficiently and collaborate effectively in a remote, operations-focused environment.
π₯ Team Culture & Values
Operations Values:
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Data-Driven Decision Making: A strong emphasis on using research data and insights to inform decisions regarding enterprise tooling, AI adoption, and operational process improvements.
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Efficiency & Optimization: A core drive to identify opportunities for streamlining workflows, improving self-service capabilities, and enhancing overall operational efficiency through user-centered design and research.
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Collaboration & Partnership: A commitment to working closely with cross-functional teams (Product, Design, Engineering, Operations, Service) to ensure research is integrated and actionable.
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Employee Focus: Prioritizing the employee experience by understanding their needs, pain points, and workflows to create more effective and user-friendly internal tools and systems.
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Continuous Improvement: Embracing a mindset of ongoing learning and iteration, using research to continuously refine and improve the employee experience and operational processes.
Collaboration Style:
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Cross-Functional Integration: The role requires seamless integration with various departments, acting as a bridge between user needs and the development/implementation of operational solutions.
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Process Review & Feedback: A culture that encourages open feedback loops, where research findings are actively discussed, debated, and refined with stakeholders to ensure buy-in and effective implementation.
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Knowledge Sharing: Practices that promote the sharing of research insights and best practices across teams, potentially through documentation, presentations, or dedicated knowledge-sharing sessions.
π Enhancement Note: The company's values and collaboration style are highly aligned with the principles of effective operations management. The focus on data, efficiency, and cross-functional partnership is critical for driving impactful changes within an organization's internal systems and processes.
β‘ Challenges & Growth Opportunities
Challenges:
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Translating Research to Operations: Bridging the gap between user research findings and the specific needs and constraints of enterprise IT and operational teams can be challenging. This requires understanding operational workflows and communicating insights in a relevant context.
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Validating AI Adoption: Researching user trust, reliance, and adoption barriers for AI-enabled tools requires nuanced methodologies and a deep understanding of human-AI interaction.
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Maintaining JTBD Framework: Keeping a strategic framework like JTBD up-to-date and consistently applied across a large organization with evolving initiatives requires ongoing effort and strong stakeholder buy-in.
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Cross-Functional Alignment: Ensuring all stakeholders (product, service, operations) are aligned on research insights and recommendations, especially when they might involve significant changes to existing processes or tooling.
Learning & Development Opportunities:
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Operations Research Specialization: Develop deep expertise in applying UX research methodologies specifically to internal operations, IT support, and employee experience challenges.
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AI & Emerging Tech: Gain hands-on experience researching cutting-edge AI-enabled tools, understanding user adoption patterns, and contributing to their successful integration.
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Strategic Framework Mastery: Become highly proficient in developing, implementing, and evolving strategic frameworks like Jobs-to-Be-Done to influence organizational strategy and tooling decisions.
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Cross-Functional Influence: Hone skills in stakeholder management, communication, and influencing across diverse departments to drive research-backed operational improvements.
π Enhancement Note: The challenges presented are common in roles that bridge user experience with operational realities. Successfully navigating these challenges offers significant opportunities for professional growth and specialization within the operations and technology domains.
π‘ Interview Preparation
Strategy Questions:
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"Describe a time you independently scoped and executed a complex mixed-method research study. What was the business context, what were your key findings, and what was the impact?" (Focus on your process, synthesis, and stakeholder communication).
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"How would you approach developing or extending a Jobs-to-Be-Done framework for an organization's IT and Operations tooling? What are the key considerations and potential pitfalls?" (Demonstrate strategic thinking and understanding of JTBD application).
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"Imagine we are considering a new AI-powered self-service portal for IT support. Outline your research plan to evaluate its potential effectiveness, identify adoption barriers, and assess user trust." (Showcase your research design skills and understanding of AI user experience). Company & Culture Questions:
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"AgileEngine emphasizes a 'people-first' culture and 'zero micromanagement.' How do you see your role as a Senior UX Researcher contributing to this culture, particularly within a remote, operations-focused team?" (Reflect on collaboration, autonomy, and contribution to team dynamics).
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"How do you ensure your research findings are actionable and adopted by product, service, and operational teams, especially when dealing with enterprise systems?" (Highlight your collaboration and influencing skills).
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"Describe a situation where your research findings challenged existing assumptions or plans within an organization. How did you handle it, and what was the outcome?" (Assess your ability to present data-driven recommendations and manage potential conflict). Portfolio Presentation Strategy:
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Structure Your Narrative: For each project, clearly define the problem, your specific contribution, the methodology, key insights, and the tangible impact or recommendations.
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Quantify Impact: Where possible, use metrics to demonstrate the value of your research (e.g., "led to a 15% increase in self-service adoption," "identified usability issues that, if addressed, could save X hours per week").
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Emphasize JTBD: Clearly articulate how your research aligned with or informed a Jobs-to-Be-Done framework, or how you would use such a framework in your analysis.
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Showcase Collaboration: Highlight instances where you partnered with operations, product, or service teams and how that collaboration led to better outcomes.
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Be Prepared for Deep Dives: Anticipate questions about your methodology, your decision-making process, and how you handled any challenges encountered during your projects.
π Enhancement Note: Candidates should prepare to articulate their research process with a focus on operational impact and strategic frameworks like JTBD. Demonstrating an understanding of enterprise environments and the ability to collaborate effectively in a remote setting will be crucial.
π Application Steps
To apply for this operations-focused UX research position:
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Submit your application through the provided application link on the AgileEngine careers portal.
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Curate Your Portfolio: Select and refine 3-4 key case studies that best showcase your experience in enterprise internal tools, employee experience research, and your application of strategic frameworks like Jobs-to-Be-Done. Ensure these highlight your ability to drive operational efficiency and inform tooling decisions.
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Optimize Your Resume: Tailor your resume to highlight your 5+ years of senior-level UX research experience, emphasizing your skills in mixed-method research, stakeholder management, and your experience within enterprise or operational contexts. Use keywords from the job description naturally.
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Prepare Your Narrative: Practice presenting your portfolio projects, focusing on storytelling that clearly articulates the problem, your research approach, key findings, actionable recommendations, and the measurable impact on operations and employee experience. Be ready to discuss how you'd apply your skills to AgileEngine's IT and Operations employee experience portfolio.
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Research AgileEngine: Familiarize yourself with AgileEngine's mission, services, and company culture. Understand their approach to software development and client partnerships, and consider how your operations-focused UX research skills can contribute to their success and their internal employee experience.
β οΈ 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.
Application Requirements
Candidates must have 5+ years of hands-on UX research experience with a strong background in both qualitative and quantitative methodologies. Proficiency in researching enterprise internal tools and applying strategic frameworks like jobs-to-be-done is essential for this role.