Senior UX Researcher ID84743

📍 Job Overview

Job Title: Senior UX Researcher ID84743

Company: AgileEngine

Location: Cordoba, Córdoba, Argentina

Job Type: Full time

Category: UX Research / Operations Strategy

Date Posted: 2026-08-25

Experience Level: 5+ Years

Remote Status: 100% Remote

🚀 Role Summary

• This Senior UX Researcher role focuses on understanding and improving the employee experience within IT and Operations through rigorous, independent research.

• The position requires a strong command of mixed-method research to evaluate AI-enabled self-service tools and emerging AI skill concepts.

• A key aspect of this role involves maintaining and evolving a Jobs-to-Be-Done (JTBD) framework to guide enterprise tooling decisions and product development.

• The researcher will collaborate closely with product, service, and operational teams to ensure validated tooling solutions are implemented effectively.

📝 Enhancement Note: While the job title is Senior UX Researcher, the description heavily emphasizes its application within an IT and Operations employee experience portfolio, focusing on enterprise tooling, AI-enabled self-service, and operational workflows. This positions the role as a critical intersection of User Experience and Operations Strategy, requiring a candidate who can bridge user needs with business and operational requirements.

📈 Primary Responsibilities

• Independently scope, plan, and execute mixed-method (qualitative and quantitative) research initiatives for critical IT and Operations projects, driving from ambiguous questions to actionable recommendations.

• Design and conduct research studies to evaluate the effectiveness and user experience of AI-enabled self-service platforms and to test new AI skill concepts, identifying adoption barriers and trust factors.

• Develop and maintain a comprehensive Jobs-to-Be-Done (JTBD) framework, ensuring it accurately reflects organizational jobs and guides the selection of endorsed enterprise tools.

• Synthesize complex research findings into clear, decision-ready recommendations, research artifacts, and compelling stakeholder readouts that detail implications and strategic next steps.

• Partner proactively with product managers, service owners, and operational teams to validate tooling decisions and ensure successful adoption and integration into existing workflows.

• Produce detailed research plans, participant recruitment strategies, and study materials for priority initiatives, ensuring methodological rigor.

• Deliver insights on AI-enabled self-service, AI skills, collaboration tools, and business process optimization opportunities to inform strategic decisions.

• Collaborate with cross-functional teams to validate enterprise tooling and employee experience solutions prior to wider rollout, ensuring alignment with operational goals.

📝 Enhancement Note: The responsibilities highlight a proactive, end-to-end research ownership. The emphasis on "independently moving studies from ambiguous questions to decision-ready recommendations" and "partner with product, service, and operational teams to validate tooling" indicates a need for a self-starter with strong strategic thinking and cross-functional influence capabilities, crucial for operations-focused UX roles.

🎓 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 role.

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:

• 5+ years of hands-on UX research experience with demonstrated ability to independently scope, execute, and synthesize studies.

• Strong qualitative and quantitative research-method selection, execution, and analysis skills.

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

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

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

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

• Excellent written and verbal communication skills, including concise research readouts and executive-ready storytelling.

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

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

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

• Upper-intermediate English level. Preferred Skills:

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

• Experience with employee experience, IT service management, self-service support, or digital workplace tools.

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

• Track record of shipping research that influenced enterprise-tooling, AI-adoption, or service-experience decisions.

• Ability to connect individual studies to an ongoing strategic framework and demonstrate impact.

• History of transforming complex findings into actionable improvements for self-service, confusion reduction, or workflow streamlining.

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

📝 Enhancement Note: The "Must Haves" strongly emphasize operations-adjacent experience (enterprise internal tools, employee experience, complex workflows, operational stakeholders) and a strategic framework (JTBD). The preferred skills further lean into AI, IT Service Management, and influencing operational decisions, indicating this role is less about consumer UX and more about B2B/internal enterprise solutions and process optimization.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrations of independently scoped, executed, and synthesized mixed-method research studies.

• Case studies showcasing research into enterprise internal tools, employee experience, or complex cross-functional workflows.

• Examples of translating research findings into clear, actionable recommendations for product and operational stakeholders.

• Evidence of developing or applying a Jobs-to-Be-Done (JTBD) framework and its impact on product or operational decisions.

• Proof of successful stakeholder management and communication of research insights to diverse audiences. Process Documentation:

• Research plans, participant recruitment strategies, and study materials for various initiatives.

• Synthesized findings, research artifacts, and stakeholder readouts detailing implications and recommended next steps.

• Documentation of how JTBD frameworks were maintained, extended, and used to connect new tool evaluations to an endorsed tool suite.

• Examples of collaboration and documentation within systems (e.g., Confluence, Notion) to maintain traceable research artifacts, findings, and decisions.

• Evidence of influencing tooling decisions through research, especially for enterprise, AI, or service experience improvements.

📝 Enhancement Note: For a role like this, a portfolio should go beyond typical UX deliverables. It needs to showcase the ability to connect user research to operational outcomes, demonstrate strategic framework application (JTBD), and highlight influencing skills within a complex enterprise environment. The emphasis on "decision-ready recommendations" and "validating tooling before broader rollout" means showing how research directly impacts operational efficiency and technology adoption.

💵 Compensation & Benefits

Salary Range: For a Senior UX Researcher in Cordoba, Argentina, with 5+ years of experience and upper-intermediate English, targeting remote work for a US-based company (AgileEngine is an Inc. 5000 company), the salary range could be estimated between USD $60,000 - $90,000 per year.

Benefits:

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

• Competitive compensation: Regular performance and compensation reviews to ensure recognition of skills and impact.

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

• Meaningful Projects: Opportunity to work on impactful products using modern technologies for leading brands.

• Collaborative Culture: A supportive, zero-micromanagement environment where ideas are welcomed and contributions are recognized.

• 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. Given the remote nature and flexible hours, it likely implies a standard 40-hour work week, with flexibility in scheduling to accommodate collaboration with teams in different time zones.

📝 Enhancement Note: The salary estimate is based on current market data for senior-level UX Researchers working remotely for US companies, adjusted for the cost of living and typical compensation structures in Argentina. AgileEngine's profile as an Inc. 5000 company suggests they can offer competitive compensation. The listed benefits are directly extracted from the job description and tailored for operations professionals who value continuous learning, autonomy, and work-life balance.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software Development, IT Services, and Technology Consulting. AgileEngine operates across 17+ industries, creating award-winning software for Fortune 500 brands and startups. Their focus on application development and AI/ML positions them at the forefront of technological innovation.

Company Size: AgileEngine is an Inc. 5000 company, indicating significant growth and a substantial employee base, likely in the range of 500-5000+ employees globally. This size suggests established processes but also potential for agility and impact.

Founded: Founded in 2011, AgileEngine has over a decade of experience in the software development industry, building a reputation for quality and reliability.

Team Structure:

• The UX Research team likely operates within a larger product or engineering division, with senior members acting as individual contributors or team leads.

• Reporting is expected to be to a Head of UX, Director of Product, or a similar senior leadership role overseeing user experience strategy.

• Cross-functional collaboration is a core tenet, with close partnerships with Product Management, Design, Engineering, Operations, and Service teams being integral to the role's success. Methodology:

• AgileEngine likely employs agile development methodologies, emphasizing iterative development, continuous feedback, and rapid prototyping.

• Data analysis and insights are central, with a strong focus on user-centric design principles and evidence-based decision-making.

• Workflow planning and optimization are critical, especially for this role which directly impacts internal operational processes and tooling.

• Automation and efficiency practices are likely leveraged across development and operations to streamline processes and enhance productivity.

Company Website: https://agileengine.com/

📝 Enhancement Note: AgileEngine's "people-first culture" and "multiple Best Place to Work awards" suggest a positive and supportive work environment. For an operations-focused role, understanding that the company builds software for diverse industries means the UX researcher will be exposed to a wide range of business challenges and enterprise environments, requiring adaptability and a broad understanding of operational needs.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior Individual Contributor role, requiring a high degree of autonomy and expertise. It sits at a level where one is expected to lead complex research initiatives, mentor junior team members, and significantly influence strategic decisions related to enterprise tooling and employee experience within IT and Operations.

Reporting Structure: The Senior UX Researcher will likely report to a UX Research Manager, Director of Product, or Head of UX. They will work closely with Product Managers, Designers, Engineers, and key stakeholders within IT and Operations departments.

Operations Impact: The role has a direct impact on operational efficiency, employee productivity, and the adoption of critical enterprise tools. By evaluating and validating self-service experiences and tooling, the researcher helps streamline IT support, improve user adoption rates, and ensure technology investments align with employee needs and business objectives. This role bridges the gap between user needs and operational effectiveness.

Growth Opportunities:

• Skill Specialization: Deepen expertise in AI research, enterprise tooling UX, or advanced JTBD framework application.

• Leadership Development: Potential to move into a Lead UX Researcher role, managing a small team or a specific product area, or transition into Product Management or Operations Strategy roles by leveraging their deep understanding of user and operational needs.

• Cross-functional Exposure: Gain extensive experience working with diverse teams and business units, broadening understanding of enterprise-wide challenges and solutions.

• Strategic Influence: Contribute to high-level strategic planning for enterprise technology adoption and employee experience initiatives.

📝 Enhancement Note: The growth opportunities are framed around specialization within UX Research, but also highlight potential transitions into roles that are more directly operational or strategic, leveraging the unique blend of user advocacy and operational understanding this position cultivates.

🌐 Work Environment

Office Type: The position is 100% remote, offering significant flexibility. While AgileEngine likely has physical offices, this role is designed for individuals who thrive in a distributed work environment.

Office Location(s): While the job is posted in Cordoba, Argentina, and the candidate is expected to be located there, the remote nature means the primary "work environment" is the candidate's home office. AgileEngine has global operations, with a significant presence in Latin America and the US.

Workspace Context:

• Collaborative Environment: Despite being remote, the role emphasizes collaboration. This will likely involve extensive use of virtual collaboration tools (e.g., Slack, Microsoft Teams, Zoom) for meetings, discussions, and brainstorming sessions.

• Operations Tools & Technology: Access to and proficiency in various research platforms, collaboration suites (e.g., Confluence, Notion), and potentially enterprise system access for validation studies will be provided or expected.

• Team Interaction: Regular virtual check-ins, team meetings, and cross-functional project syncs will facilitate interaction and knowledge sharing within the operations and UX communities.

Work Schedule: The role offers flexible hours, supporting a 40-hour work week. This flexibility is beneficial for managing personal commitments and optimizing productivity, while also requiring discipline to coordinate with teams potentially in different time zones.

📝 Enhancement Note: The remote and flexible nature of the role is a key perk, aligning with modern work trends. For operations professionals, this means a need for strong self-discipline, time management, and communication skills to effectively collaborate in a distributed setting and manage complex research projects.

📄 Application & Portfolio Review Process

Interview Process:

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

• Technical Interview(s): Expect in-depth discussions about UX research methodologies, experience with enterprise tools, JTBD frameworks, and AI research. This may include a practical exercise or case study.

• Portfolio Review: A dedicated session to present and discuss past work, focusing on how research influenced product or operational decisions. Be prepared to walk through specific projects, methodologies, and outcomes.

• Stakeholder/Team Interviews: Meetings with potential cross-functional partners (e.g., Product Managers, Operations Leads) to assess collaboration style and ability to translate research into actionable insights for their areas.

• Final Interview: A discussion with a senior leader to confirm overall fit, strategic alignment, and address any remaining questions. Portfolio Review Tips:

• Showcase Operations Impact: Select 2-3 projects that best demonstrate your ability to research and influence enterprise tooling, employee experience, or operational workflows.

• Highlight JTBD Application: Clearly explain how you've used or evolved a JTBD framework, detailing the process and its impact on decision-making.

• Detail Mixed-Methods: For each project, explain the qualitative and quantitative methods used, why they were chosen, and how they contributed to a holistic understanding.

• Focus on Recommendations: Emphasize the actionable recommendations derived from your research and provide evidence of their impact or how they informed stakeholder decisions.

• Concise Storytelling: Prepare to present your work clearly and concisely, tailoring your narrative to the specific needs of an operations-focused UX role. Challenge Preparation:

• Be ready for a research scenario or case study, possibly involving a hypothetical enterprise tool or AI-enabled self-service feature.

• Practice articulating your thought process for scoping research, selecting methods, and synthesizing findings under time constraints.

• Prepare to discuss how you would approach gaining buy-in from operational stakeholders for research initiatives and how you would present findings to ensure adoption.

📝 Enhancement Note: The emphasis on "decision-ready recommendations" and "validating tooling before broader rollout" means interviewers will be looking for evidence of strategic thinking and practical application of research. Candidates should prepare to discuss not just what they researched, but how it directly contributed to improving operational efficiency or user adoption within an enterprise context.

🛠 Tools & Technology Stack

Primary Tools:

• UX Research Platforms: Proficiency with tools for participant recruitment, moderated/unmoderated studies, surveys, and data synthesis (e.g., UserTesting.com, Lookback, Qualtrics, SurveyMonkey, Dovetail).

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

• Prototyping & Design Tools: Familiarity with tools like Figma, Sketch, or Adobe XD for understanding design artifacts and user flows, even if not creating them directly. Analytics & Reporting:

• Data Analysis Tools: Familiarity with tools for analyzing quantitative data (e.g., Excel, Google Sheets, R, SPSS) and qualitative data (e.g., NVivo, Dovetail).

• Dashboarding Tools: Experience with tools like Tableau or Power BI for visualizing research findings and impact metrics, if applicable. CRM & Automation:

• CRM Systems: Understanding of how CRM systems (e.g., Salesforce) function within an enterprise context, as research might involve internal sales or customer support tool experiences.

• Automation Tools: Familiarity with concepts of workflow automation, as research may evaluate tools designed to automate operational tasks.

📝 Enhancement Note: While the core role is UX Research, the context of "enterprise tooling," "operations," and "AI-enabled self-service" implies a need for familiarity with the types of systems these users interact with. The mention of "research repositories and documentation tools" is crucial, pointing towards a need for strong organizational and knowledge management skills.

👥 Team Culture & Values

Operations Values:

• Data-Driven Decision Making: A commitment to using research and data to inform strategic decisions, especially concerning enterprise tooling and operational processes.

• User-Centricity within Operations: Advocating for the end-user (employee) experience while balancing operational efficiency and business objectives.

• Efficiency & Process Optimization: A drive to identify and implement improvements in workflows and tooling that enhance productivity and reduce friction.

• Collaboration & Transparency: Open communication and teamwork across departments to ensure alignment and shared understanding of goals and challenges.

• Continuous Improvement: A proactive approach to identifying areas for enhancement and a willingness to iterate based on feedback and new insights. Collaboration Style:

• Cross-functional Integration: Actively engaging with product, engineering, and operations teams to ensure research insights are understood and integrated into development and deployment cycles.

• Stakeholder Engagement: Building strong relationships with operational stakeholders to understand their needs, gather requirements, and present research findings in a way that drives action.

• Knowledge Sharing: Contributing to a culture of shared learning by documenting findings, participating in team discussions, and potentially mentoring others on research best practices.

📝 Enhancement Note: The company's "people-first culture" and "Best Place to Work awards" suggest that the team values support, respect, and individual contribution. For this specific role, the blend of user advocacy with operational focus implies a need for a pragmatic, results-oriented collaborator who can navigate complex organizational structures.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Complex Enterprise Environments: Understanding and researching intricate IT and Operations workflows, often with legacy systems or diverse user groups.

• Influencing Stakeholders: Gaining buy-in and driving action based on research findings, especially when recommendations challenge existing processes or investments.

• Balancing User Needs with Operational Constraints: Synthesizing research to advocate for user experience while ensuring solutions are feasible, cost-effective, and align with operational goals.

• Researching Emerging Technologies: Staying current with AI advancements and understanding user adoption patterns, trust issues, and rollout readiness for new AI-enabled tools.

• Independent Research Scoping: Proactively identifying research opportunities and defining ambiguous problems into actionable research plans without constant direction. Learning & Development Opportunities:

• Advanced AI Research: Opportunities to specialize in researching AI-driven products, user trust, and adoption strategies.

• Enterprise Tooling Expertise: Deepen knowledge in the design and effectiveness of internal enterprise systems, IT service management, and digital workplace tools.

• Strategic Framework Application: Refine skills in applying and evolving frameworks like Jobs-to-Be-Done to guide enterprise-wide product and operational strategies.

• Cross-Disciplinary Impact: Gain exposure to various business functions and operational challenges, potentially leading to roles in Operations Strategy, Product Management, or Enterprise UX.

• Mentorship and Skill Building: Access to internal TechTalks, mentorship programs, and a dedicated annual learning budget to pursue relevant certifications or courses.

📝 Enhancement Note: The challenges highlight the need for a researcher who is not only methodologically sound but also a strategic thinker, adept at navigating organizational dynamics and influencing decisions within a complex operational landscape. The growth opportunities underscore the role's potential for significant career development in specialized areas or broader strategic functions.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you independently scoped and executed a complex UX research study from ambiguous beginnings to actionable recommendations. What was the outcome?" (Focus on your end-to-end process, problem definition, and impact.)

• "How have you applied a Jobs-to-Be-Done (JTBD) framework in your previous roles? Provide a specific example of how it influenced product or operational decisions." (Be ready to detail the framework's implementation and its tangible results.)

• "Imagine we are considering a new AI-enabled self-service portal for IT support. What would be your initial research questions, and what mixed-methods approach would you propose to evaluate its potential adoption and effectiveness?" (Demonstrate your ability to think strategically and apply appropriate methodologies.) Company & Culture Questions:

• "How do you approach collaborating with product, engineering, and operations teams to ensure your research findings are understood and acted upon?" (Highlight your communication and stakeholder management skills.)

• "What is your experience researching enterprise internal tools or employee experience? What makes this type of research unique compared to consumer research?" (Show your understanding of the specific context of this role.)

• "How do you ensure your research directly informs operational decisions and tooling validation before broader rollout?" (Focus on your ability to bridge user insights with business and operational needs.) Portfolio Presentation Strategy:

• Structure for Impact: Organize your portfolio around key projects that showcase your ability to research enterprise tools, apply JTBD, and deliver decision-ready recommendations.

• Quantify Outcomes: Wherever possible, use data and metrics to demonstrate the impact of your research on user adoption, efficiency, or operational improvements.

• Tell a Story: For each project, clearly articulate the problem, your approach, the key findings, your recommendations, and the resulting impact.

• Highlight Collaboration: Be prepared to discuss how you partnered with different teams and stakeholders throughout the research process.

• Focus on JTBD Integration: Dedicate a segment to showcasing how you've utilized or evolved JTBD frameworks, demonstrating your strategic thinking.

📝 Enhancement Note: The interview preparation advice is tailored to the specific emphasis of this role: independent research execution, JTBD framework application, AI research, and influencing operational/enterprise tooling decisions. Candidates should prepare concrete examples that directly address these areas.

📌 Application Steps

To apply for this operations-focused UX Researcher position:

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

• Tailor Your Resume: Ensure your resume clearly highlights your 5+ years of UX research experience, with specific emphasis on mixed-methods research, enterprise tooling, employee experience, and the application of strategic frameworks like Jobs-to-Be-Done (JTBD). Quantify achievements where possible.

• Curate Your Portfolio: Select 2-3 key projects that best demonstrate your ability to independently scope and execute research, translate findings into actionable recommendations for product and operational stakeholders, and influence tooling decisions. Prepare to present these projects concisely, focusing on impact and methodology.

• Prepare for Operations-Focused Questions: Practice answering questions related to your experience with enterprise workflows, AI research, JTBD application, and cross-functional collaboration with operations and product teams.

• Research AgileEngine: Understand the company's mission, values, and the types of clients and projects they undertake. Consider how your UX research skills can contribute to their success in building award-winning software.

⚠️ 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.