Senior UX Researcher ID84743

AgileEngine
Full-timeSan Miguel de Tucumán, Argentina

📍 Job Overview

Job Title: Senior UX Researcher ID84743

Company: AgileEngine

Location: San Miguel de Tucumán, Tucumán, Argentina

Job Type: Full time

Category: User Experience Research / Operations Insights

Date Posted: 2026-08-25

Experience Level: Senior

Remote Status: Fully Remote

🚀 Role Summary

  • Lead end-to-end UX research initiatives focused on IT and Operations employee experience, ensuring data-driven decisions for enterprise tooling and AI-enabled self-service solutions.

  • Independently scope, execute, and synthesize mixed-method research studies, translating complex findings into actionable insights for product, service, and operational teams.

  • Maintain and evolve a strategic jobs-to-be-done (JTBD) framework to guide tooling decisions and understand user needs across multiple initiatives.

  • Collaborate closely with cross-functional stakeholders, including product managers, designers, engineers, and operational leads, to validate tooling and drive adoption.

  • Drive continuous improvement in employee experience by identifying adoption barriers, trust needs, and opportunities for streamlining complex workflows.

📝 Enhancement Note: This role is positioned as a Senior UX Researcher, but the responsibilities heavily lean into understanding and improving operations and employee experience within IT and enterprise tooling. The focus on validating tooling before rollout and integrating with operational teams suggests a strong connection to operational efficiency and GTM enablement through internal tools. Therefore, the "Category" has been broadened to include "Operations Insights" to reflect this dual focus.

📈 Primary Responsibilities

  • Independently plan, execute, and synthesize mixed-method qualitative and quantitative UX research studies to address ambiguous questions and deliver decision-ready recommendations for priority IT and Operations initiatives.

  • Design and moderate research sessions specifically to evaluate AI-enabled self-service experiences and enhance overall IT support for employees.

  • Conduct targeted research to test AI Skills concepts, uncovering critical user jobs, adoption barriers, and necessary trust/validation mechanisms prior to broader implementation.

  • Develop comprehensive research plans, participant recruitment strategies, and detailed study materials for various research initiatives, ensuring alignment with business objectives.

  • Synthesize research findings into clear, concise recommendations, actionable research artifacts, and compelling stakeholder readouts that articulate implications and suggest strategic next steps.

  • Maintain, extend, and update the jobs-to-be-done (JTBD) framework to accurately reflect user jobs across the organization and inform the selection of an endorsed tool suite.

  • Partner proactively with product management, service delivery, and operational teams to validate proposed tooling solutions, ensuring they meet user needs and operational requirements before widespread rollout.

  • Produce research deliverables that span insights into AI-enabled self-service, AI skills adoption, collaboration tool effectiveness, and broader business process optimization opportunities.

📝 Enhancement Note: The responsibilities emphasize a high degree of autonomy and strategic thinking, typical of a senior-level role. The focus on "decision-ready recommendations," "enterprise tooling," and "operational teams" highlights the critical link between UX research and operational effectiveness, moving beyond traditional product UX.

🎓 Skills & Qualifications

Education: While not explicitly stated, 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. Advanced degrees are often preferred for complex research frameworks like JTBD.

Experience: Minimum of 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.

Required Skills:

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

  • Expertise in qualitative research methodologies, including user interviews, usability testing (moderated and unmoderated), contextual inquiry, and ethnographic studies.

  • Strong quantitative research skills, including survey design, data analysis, statistical interpretation, and proficiency with common survey platforms.

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

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

  • Extensive experience developing, applying, and maintaining a jobs-to-be-done (JTBD) or comparable strategic research framework across multiple initiatives.

  • Strong collaborative stakeholder management skills, with the ability to build rapport and influence decisions across product, design, engineering, operations, and service teams.

  • Excellent written and verbal communication skills, with a talent for crafting concise research readouts and executive-ready 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, understanding their unique challenges and requirements.

  • Working knowledge of research repositories and documentation tools for maintaining traceable research artifacts, findings, and decisions.

  • Upper-intermediate English proficiency (written and spoken). Preferred Skills:

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

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

  • Proven ability to apply or evolve a jobs-to-be-done framework across diverse product or service areas, connecting insights to strategic business goals.

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

  • Ability to connect individual research studies to a broader, ongoing strategic framework and long-term vision.

  • Experience in turning complex research findings into tangible actions that improve self-service rates, reduce user confusion, or streamline operational workflows.

  • Demonstrated experience partnering with teams through product launch phases and contributing to post-launch measurement and iteration.

📝 Enhancement Note: The "Must Haves" section has been expanded to include detailed descriptions of the required research methodologies and stakeholder interaction expectations. The "Nice to Haves" have been elaborated to highlight the value of AI and employee experience research, aligning with the role's focus on IT and Operations. The education requirement is inferred based on industry standards for senior UX roles.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

  • Showcase a minimum of 3-5 distinct UX research projects, with at least one demonstrating experience with enterprise internal tools, employee experience, or complex operational workflows.

  • For each project, clearly articulate the research objectives, methodology employed (qualitative and/or quantitative), and the specific research questions addressed.

  • Provide detailed examples of how you translated research findings into actionable insights and decision-ready recommendations for product and operational stakeholders.

  • Demonstrate proficiency in applying or evolving a jobs-to-be-done (JTBD) framework, illustrating its impact on tooling decisions or strategic planning.

  • Include examples of research artifacts such as research plans, participant recruitment strategies, discussion guides, survey instruments, and synthesis reports.

  • Highlight your ability to communicate complex findings effectively through concise readouts, presentations, or executive-ready storytelling. Process Documentation:

  • Projects should illustrate your ability to document research processes, including scoping, planning, execution, analysis, and reporting phases, ensuring traceability and clarity.

  • Demonstrate experience in using collaboration and documentation systems (e.g., Confluence, Notion, internal wikis) to maintain research artifacts, findings, and decisions for cross-functional visibility.

  • Showcase how your research has informed or validated specific operational processes, tooling implementation, or workflow optimizations.

  • Evidence of creating or contributing to a research repository or knowledge base that democratizes insights across teams.

📝 Enhancement Note: This section is tailored to the specific requirements of a Senior UX Researcher role, emphasizing the need for a portfolio that showcases independent research capabilities, strategic framework application (JTBD), and direct impact on enterprise tools and operational decision-making. The focus is on demonstrating a process-driven approach and clear documentation.

💵 Compensation & Benefits

Salary Range: For a Senior UX Researcher in Tucumán, Argentina, with 5+ years of experience and specialized skills in enterprise/operations research, a competitive salary range would typically fall between ARS $1,500,000 to ARS $2,500,000 per month. This estimate is based on current market data for senior tech roles in Argentina, considering the demand for specialized UX research skills and the remote work arrangement which often aligns with international compensation benchmarks. Factors such as specific tool proficiency, portfolio strength, and negotiation will influence the final offer.

Benefits:

  • Growth Opportunities: Access to mentorship programs, internal TechTalks, challenging projects, and a dedicated annual learning budget to foster skill development and career progression.

  • Competitive Compensation: Recognition of skills and impact through regular performance and compensation reviews, ensuring fair market value.

  • Remote Work Flexibility: Fully remote position with flexible working hours, promoting autonomy, work-life balance, and efficient work rhythm.

  • Impactful Projects: Opportunity to work on meaningful, modern software projects for leading brands using contemporary technologies, alongside global teams.

  • Collaborative Culture: Integration into a supportive, zero-micromanagement environment where ideas are welcomed, contributions are recognized, and collaboration is key.

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

Working Hours: The role specifies "flexible hours that support focus, autonomy, and a healthy work rhythm," indicating a flexible work schedule. While a standard 40-hour work week is assumed, the exact daily hours can be adjusted to suit individual productivity and team collaboration needs, within reasonable operational boundaries for remote work and global team interaction.

📝 Enhancement Note: Salary range provided is an estimate based on the location (Tucumán, Argentina) and the senior experience level. Research for this estimate involved reviewing job boards and salary aggregators for similar roles in Argentina, adjusted for remote work and specialized UX research skills. The benefits are directly extracted and elaborated from the provided perks list, framed within the context of what appeals to operations and tech professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: AgileEngine operates within the Software Development and IT Services industry, specializing in creating award-winning software for Fortune 500 brands and startups. They are recognized leaders in application development and AI/ML, indicating a strong focus on innovation and technical excellence.

Company Size: AgileEngine is an Inc. 5000 company, which typically signifies a rapidly growing organization with a substantial employee base, likely ranging from several hundred to over a thousand employees. This size suggests a structured environment with established processes but also retains agility and opportunities for impact.

Founded: Founded in [Company Founded - Not provided], AgileEngine has a history of growth and achievement, evidenced by its Inc. 5000 recognition and multiple Best Place to Work awards. This suggests a stable yet dynamic company culture that values its employees and fosters a positive work environment.

Team Structure:

  • The UX Research team is likely integrated within product development or a dedicated design/research function. As a Senior UX Researcher, you would be an individual contributor expected to lead your own research streams.

  • You will collaborate closely with product managers, designers, engineers, and critically, service and operational teams, indicating a cross-functional operational focus.

  • The reporting structure likely involves a Research Lead or a Director of Product/Design, with direct interaction with various business units that utilize enterprise tooling. Methodology:

  • AgileEngine emphasizes a "people-first culture" and "zero micromanagement," suggesting a collaborative and empowering work environment.

  • The company's focus on "award-winning software" and leadership in "AI/ML" points to a data-driven and innovative approach to product development.

  • The role itself requires a mixed-method research approach, utilizing both qualitative and quantitative data to drive insights.

  • A strong emphasis is placed on applying strategic frameworks like Jobs-to-be-Done (JTBD) to guide product and operational decisions.

Company Website: https://agileengine.com/

📝 Enhancement Note: The company context is derived from the provided description and general knowledge of Inc. 5000 companies. The emphasis is on how this environment would impact an operations-focused UX Researcher, highlighting opportunities for cross-functional collaboration and impact on enterprise tooling.

📈 Career & Growth Analysis

Operations Career Level: This role is designated as "Senior," indicating a level of expertise and autonomy beyond junior or mid-level positions. As a Senior UX Researcher focused on employee and operational experience, you are expected to independently manage complex research projects, mentor junior team members (potentially), and significantly influence strategic decisions regarding enterprise tooling and AI adoption. This position bridges traditional UX research with operational effectiveness and internal technology strategy.

Reporting Structure: You will report to a Research Lead or a Director within the product or design organization. However, a significant portion of your work will involve close collaboration and direct reporting of findings to product managers, service owners, and operational leaders who directly benefit from or implement the tooling decisions informed by your research. This cross-functional reporting dynamic is crucial for driving impact.

Operations Impact: Your research will directly impact the efficiency, adoption, and overall effectiveness of internal IT and Operations tools. By validating tooling decisions and understanding employee needs through a JTBD lens, you will contribute to streamlining workflows, reducing operational friction, improving employee productivity, and ensuring that technology investments align with business objectives. This role is pivotal in shaping the employee experience of internal systems, which indirectly affects client-facing operations and overall business performance.

Growth Opportunities:

  • Specialization: Deepen expertise in researching AI-enabled technologies, employee experience, and complex enterprise workflows, becoming a go-to subject matter expert in these critical areas.

  • Leadership: Potential to move into a Lead UX Researcher role, managing a team, or transition into a Product Manager or Operations Strategy role where your research expertise is leveraged at a higher strategic level.

  • Framework Development: Opportunity to further develop and evangelize the JTBD framework or other strategic research methodologies within AgileEngine, influencing how the company understands user needs and makes product decisions.

  • Skill Expansion: Gain exposure to a wider array of enterprise systems, AI applications, and operational challenges, broadening your understanding of business processes and technology impact.

  • Mentorship: Opportunities to mentor junior researchers and contribute to the growth of the UX practice within the company.

📝 Enhancement Note: The career analysis focuses on the "Senior" designation and the specific operational context of the role. Growth opportunities are framed around specialization in areas relevant to enterprise operations and AI, as well as potential leadership pathways.

🌐 Work Environment

Office Type: The position is advertised as 100% remote, meaning there is no requirement to work from a physical AgileEngine office. This offers maximum flexibility in terms of location and work setup.

Office Location(s): While the role is remote, the candidate is specifically located in or expected to work from Tucumán, Argentina. AgileEngine operates globally, with teams in various locations, but for this particular role, the focus is on talent within Argentina.

Workspace Context:

  • Remote Autonomy: You will have the autonomy to set up your ideal home office environment, ensuring comfort and productivity.

  • Digital Collaboration: The work environment relies heavily on digital collaboration tools for communication, project management, and knowledge sharing. Expect frequent use of video conferencing, instant messaging, and shared document platforms.

  • Cross-functional Interaction: While remote, you will be integrated into project teams involving product, engineering, design, and crucially, operations and service teams. This requires proactive communication and engagement to maintain strong working relationships.

  • Technology Access: AgileEngine likely provides access to necessary software licenses and potentially hardware or stipends to ensure you have the tools needed to perform your job effectively, especially for research platforms and collaboration software.

Work Schedule: The role offers "flexible hours that support focus, autonomy, and a healthy work rhythm." This suggests that while a standard 40-hour work week is expected, the daily schedule can be adapted to individual preferences and team needs, provided there is adequate overlap for collaboration with colleagues, particularly those in different time zones if applicable.

📝 Enhancement Note: The work environment description is tailored to a fully remote role, emphasizing the implications for workspace setup, digital collaboration, and the importance of proactive communication within a distributed team structure. The Tucumán, Argentina location is noted as the primary operational base for this specific remote hire.

📄 Application & Portfolio Review Process

Interview Process:

  • Initial Screening: A recruiter or hiring manager will likely conduct an initial call to assess your experience, understanding of UX research, and fit with the company culture and role requirements. Be prepared to discuss your background and interest in employee/operations experience research.

  • Technical Interview/Portfolio Review: This is a critical stage where you will present your portfolio. Expect to walk through 2-3 key projects, detailing your process, challenges, and the impact of your research. Focus on projects demonstrating your ability to handle ambiguity, apply JTBD frameworks, and influence enterprise tooling or operational decisions.

  • Skills-Based Assessment: You may be given a small take-home assignment or a live case study exercise to assess your research planning, synthesis, or communication skills in a simulated scenario relevant to enterprise tooling or AI self-service.

  • Team/Stakeholder Interviews: Interviews with potential peers (other researchers, designers) and key stakeholders (Product Managers, Operations Leads) to evaluate your collaboration style, communication effectiveness, and ability to integrate into cross-functional teams.

  • Final Interview: A discussion with a senior leader, potentially to confirm alignment on strategic vision, cultural fit, and overall suitability for the senior role.

Portfolio Review Tips:

  • Curate Strategically: Select projects that best showcase your end-to-end research process, independent scoping, mixed-method application, and impact on enterprise tools or operational workflows. Prioritize projects where you can clearly articulate the "jobs-to-be-done."

  • Showcase Impact: Quantify your impact whenever possible. Did your research lead to a specific tool improvement, increased adoption rates, reduced support tickets, or streamlined workflows? Use metrics to demonstrate value.

  • Detail Your Process: Clearly explain your research methodology, why you chose specific methods, how you recruited participants, and how you synthesized findings. For JTBD projects, explain how you identified and applied the framework.

  • Tell a Story: Structure your project presentations as narratives. Start with the problem or business context, detail your research journey, present your key insights, and conclude with the actionable recommendations and their outcomes.

  • Prepare for Questions: Anticipate questions about your decision-making process, challenges you faced, how you handled conflicting feedback, and how you collaborated with stakeholders.

Challenge Preparation:

  • Understand the Context: If given a case study, thoroughly analyze the provided scenario. Identify the core business problem, the target users (internal employees), and the technology involved (enterprise tools, AI self-service).

  • Research Frameworks: Be ready to apply JTBD or similar frameworks to structure your thinking and recommendations.

  • Methodology Selection: Justify your choice of research methods based on the problem and available resources.

  • Actionable Recommendations: Focus on providing practical, prioritized recommendations that are feasible for enterprise implementation and align with operational goals.

  • Presentation Skills: Practice delivering your findings clearly, concisely, and persuasively, as if presenting to a group of stakeholders with varying technical backgrounds.

📝 Enhancement Note: The application process and portfolio review section are designed to provide actionable advice specific to a Senior UX Researcher role, with a strong emphasis on demonstrating impact in operational and enterprise tooling contexts, and the strategic application of frameworks like JTBD.

🛠 Tools & Technology Stack

Primary Tools:

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

  • Synthesis & Analysis: Experience with tools for qualitative data analysis (e.g., Dovetail, NVivo, Miro for affinity mapping) and quantitative data analysis (e.g., Excel, Google Sheets, potentially R or Python for more advanced statistical analysis).

  • Collaboration & Documentation: Essential proficiency in tools like Jira, Confluence, Notion, Google Workspace (Docs, Sheets, Slides), or similar systems for project management, documentation, and maintaining traceable research artifacts.

  • Prototyping & Design Tools (Familiarity): While not a designer, understanding the output of tools like Figma, Sketch, or Adobe XD is beneficial for reviewing prototypes and discussing design implications.

Analytics & Reporting:

  • Familiarity with internal analytics platforms or BI tools (e.g., Tableau, Power BI) might be beneficial for understanding usage data of enterprise tools, though direct expertise may not be required.

  • Experience in creating clear, data-driven reports and presentations using tools like PowerPoint, Google Slides, or specialized reporting software. CRM & Automation:

  • Understanding how CRM systems (e.g., Salesforce) or workflow automation tools impact employee experience and internal processes can be advantageous, though direct management of these tools is unlikely for this role. The focus is on researching their user experience.

  • Familiarity with IT Service Management (ITSM) tools (e.g., ServiceNow) and their user interfaces is a plus for understanding employee support experiences.

📝 Enhancement Note: This section details the technology stack relevant to a UX Researcher, with a specific emphasis on tools used for research execution, data synthesis, and collaboration within an enterprise context. The inclusion of enterprise-specific systems like ITSM tools and the understanding of CRM/automation impact on employee experience are tailored to the role's operational focus.

👥 Team Culture & Values

Operations Values:

  • Data-Driven Decision Making: A core value of using rigorous research methodologies and data analysis to inform product and operational decisions, moving beyond assumptions.

  • User-Centricity: A strong commitment to understanding the needs, behaviors, and motivations of internal users (employees) to create effective and intuitive enterprise tools and experiences.

  • Collaboration & Transparency: Fostering an environment where cross-functional teams work together openly, sharing insights and feedback to achieve common goals, particularly in validating tooling and process improvements.

  • Continuous Improvement: A drive to constantly iterate and optimize based on feedback and research findings, ensuring that enterprise systems evolve to meet changing user needs and business objectives.

  • Impact & Accountability: A focus on delivering research that has a tangible impact on employee productivity, operational efficiency, and overall business outcomes, with individuals taking ownership of their contributions.

Collaboration Style:

  • Proactive Engagement: Encouraging researchers to actively engage with product, design, engineering, and especially operations and service teams from the outset of research projects, ensuring alignment and buy-in.

  • Open Feedback Loops: Cultivating a culture where constructive feedback on research plans, findings, and recommendations is welcomed and incorporated, leading to stronger outcomes.

  • Knowledge Sharing: Promoting the sharing of research insights through accessible documentation, regular readouts, and potentially internal forums, making research accessible and actionable across the organization.

  • Agile Integration: Working within agile development cycles, adapting research methodologies to provide timely insights that support iterative development and quick validation of enterprise tooling.

📝 Enhancement Note: The team culture and values are inferred from the company's description ("people-first culture," "award-winning," "collaborative") and the specific demands of the Senior UX Researcher role within an operational context. The emphasis is on how these values translate into daily work and collaboration for someone focused on enterprise tools and employee experience.

⚡ Challenges & Growth Opportunities

Challenges:

  • Balancing Ambiguity and Actionability: Navigating ambiguous research questions and translating them into clear, actionable insights that can drive concrete decisions for enterprise tooling and AI adoption.

  • Cross-Functional Influence: Effectively influencing stakeholders across diverse departments (Product, Engineering, Operations, Service) who may have different priorities and perspectives on tooling and user experience.

  • Researching Complex Systems: Understanding and researching intricate enterprise systems, cross-functional workflows, and AI-driven technologies presents a significant learning curve and requires deep analytical thinking.

  • Remote Collaboration Effectiveness: Maintaining strong collaboration, communication, and visibility in a fully remote setting, especially when working with teams across different time zones or with varying work styles.

  • Measuring Impact of Internal Tools: Quantifying the direct impact of UX research on the adoption and effectiveness of internal tools, which can be more challenging than measuring user behavior on external products.

Learning & Development Opportunities:

  • AI & Emerging Tech Specialization: Deepen expertise in researching AI-enabled products, automation, and emerging technologies, becoming a subject matter expert in this rapidly evolving field.

  • Enterprise Operations Domain Knowledge: Gain in-depth understanding of IT Service Management (ITSM), employee experience strategies, and complex business process workflows within large organizations.

  • Strategic Framework Mastery: Further hone skills in applying and evolving strategic research frameworks like Jobs-to-be-Done (JTBD) to influence broader business and product strategy.

  • Leadership & Mentorship: Opportunities to mentor junior researchers, lead research initiatives, and potentially transition into leadership roles within UX research or operations strategy.

  • Industry Exposure: Attend relevant conferences, workshops, or pursue certifications related to UX research, AI, or enterprise technology to stay abreast of industry trends and best practices.

📝 Enhancement Note: Challenges are identified based on the nature of senior-level UX research in an enterprise/operations context, and growth opportunities are aligned with specialization and career progression within these domains.

💡 Interview Preparation

Strategy Questions:

  • "Describe a time you independently scoped and executed a complex UX research study from start to finish. What was the business problem, your approach, and the outcome?" (Focus on autonomy, methodology, 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 tooling decisions." (Assess JTBD expertise and strategic application).

  • "Imagine we are considering a new AI-powered self-service portal for our IT department. What research questions would you ask, and what methodologies would you employ to evaluate its potential success?" (Evaluate research planning and AI research experience).

  • "How do you translate complex research findings into clear, actionable recommendations for diverse stakeholders, including non-researchers like product managers and operational leads?" (Assess communication and stakeholder influence skills). Company & Culture Questions:

  • "What interests you about researching employee and IT/Operations experience, specifically within an enterprise tooling context?" (Gauge motivation and alignment with role focus).

  • "How do you approach building rapport and collaborating with product, engineering, and operational teams, especially in a remote environment?" (Assess collaboration and remote work skills).

  • "AgileEngine values a 'people-first' and 'zero micromanagement' culture. How do you see yourself thriving in such an environment?" (Evaluate cultural fit and work style).

  • "Describe a situation where your research findings challenged existing assumptions or recommendations. How did you handle it?" (Assess ability to present data-driven insights and manage pushback). Portfolio Presentation Strategy:

  • Structure is Key: For each project, clearly define: 1. The Problem/Opportunity, 2. Your Role & Responsibilities, 3. Your Research Process (Methods & Execution), 4. Key Findings & Insights (especially JTBD), 5. Recommendations & Impact, 6. Learnings.

  • Highlight JTBD: If a project involved JTBD, dedicate specific time to explaining how you identified user "jobs," what the core needs were, and how this informed tooling decisions or recommendations.

  • Showcase Mixed Methods: If you used both qualitative and quantitative methods, explain the synergy and how they provided a more complete picture.

  • Focus on Impact: For each project, be ready to articulate the tangible business impact or potential impact of your research. Use metrics where possible.

  • Be Ready to Dive Deep: Interviewers may ask detailed questions about your methodology, data analysis, or decision-making process. Be prepared to elaborate on any aspect of your work.

📝 Enhancement Note: Interview questions are crafted to probe specific skills and experiences relevant to a Senior UX Researcher focused on operations and enterprise tooling, including JTBD application, AI research, and stakeholder management. The portfolio presentation strategy provides tactical advice for showcasing relevant work.

📌 Application Steps

To apply for this operations-focused UX research position:

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

  • Tailor Your Resume: Optimize your resume to highlight your 5+ years of hands-on UX research experience, emphasizing projects involving enterprise internal tools, employee experience, AI-enabled self-service, and complex workflows. Use keywords from the job description such as "mixed-method research," "jobs-to-be-done," "stakeholder management," and "operational workflows."

  • Curate Your Portfolio: Prepare a portfolio that showcases 2-3 of your strongest research projects. Prioritize those demonstrating independent scoping, mixed-method execution, the application of strategic frameworks like JTBD, and a clear impact on tooling or operational decisions. Ensure it's easily accessible (e.g., PDF, personal website, shared drive link).

  • Prepare Your Presentation: Practice delivering a concise and compelling walkthrough of your selected portfolio projects. Be ready to articulate your research process, key insights, actionable recommendations, and the measurable impact of your work. Anticipate questions about your methodology and decision-making.

  • Research AgileEngine: Familiarize yourself with AgileEngine's mission, values, and the types of projects they undertake. Understand their focus on award-winning software, AI/ML, and their "people-first" culture to demonstrate genuine interest and cultural alignment.

⚠️ 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 applying strategic frameworks like jobs-to-be-done and experience researching complex enterprise workflows are essential.