Senior UX Researcher ID84743

📍 Job Overview

Job Title: Senior UX Researcher ID84743

Company: AgileEngine

Location: Bogota, Colombia

Job Type: Full time

Category: User Experience Research / Product Operations

Date Posted: August 25, 2026

Experience Level: 5+ Years

Remote Status: 100% Remote

🚀 Role Summary

• Drive comprehensive UX research initiatives for IT and Operations employee experience portfolios, focusing on AI-enabled self-service and enterprise tooling.

• Independently scope, plan, and execute mixed-method research studies (qualitative and quantitative) to uncover actionable insights.

• Maintain and evolve a strategic Jobs-to-be-Done (JTBD) framework to guide product and operational decisions.

• Collaborate closely with Product, Service, and Operations teams to validate tooling before wider rollout and ensure successful adoption.

• Synthesize complex findings into clear, decision-ready recommendations and compelling stakeholder readouts.

📝 Enhancement Note: This role is positioned as a Senior Individual Contributor within UX Research, with a strong emphasis on strategic application of research methodologies to inform enterprise tooling and AI adoption within an IT and Operations context. The focus on a "jobs-to-be-done" framework and validation before rollout indicates a need for researchers who can bridge user needs with business objectives and operational efficiency.

📈 Primary Responsibilities

• Plan and conduct mixed-method (qualitative and quantitative) research across priority IT & Ops initiatives, independently moving studies from ambiguous questions to decision-ready recommendations.

• Plan and moderate research that evaluates AI-enabled self-service experiences and aims to improve IT support experiences for employees.

• Test AI Skills concepts to identify employee needs (jobs to be done), adoption barriers, and trust or validation requirements ahead of broader rollout.

• Synthesize findings into clear recommendations, research artifacts, and stakeholder readouts that document implications and recommended next steps for product and operational teams.

• Maintain and extend the jobs-to-be-done (JTBD) framework to accurately represent jobs across the company, and update JTBD artifacts to connect new tool evaluations to the endorsed tool suite.

• Produce comprehensive research plans, participant and recruitment strategies, and study materials for priority initiatives.

• Deliver decision-ready findings and recommendations spanning AI-enabled self-service, AI skills, collaboration tools, and business-process optimization opportunities.

• Partner closely with product, service, and operational teams to validate tooling decisions before they are scaled across the organization.

📝 Enhancement Note: The core responsibilities highlight a proactive and autonomous research function. The emphasis on "independently moving studies from ambiguous questions to decision-ready recommendations" and "partnering with product, service, and operational teams to validate tooling decisions before they scale" suggests a need for a researcher who can manage the entire research lifecycle and directly influence strategic business decisions, particularly concerning technology adoption and employee productivity within an enterprise IT/Ops environment.

🎓 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 demonstrated ability to independently scope, execute, and synthesize studies. Experience researching enterprise internal tools, employee experience, or complex cross-functional workflows is crucial.

Required Skills:

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

• Demonstrated ability to independently scope, execute, and synthesize UX research studies from inception to actionable recommendations.

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

• Ability to translate complex 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.

• Strong written and verbal communication skills, including the ability to create 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, particularly focusing 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 a broader research roadmap.

• History of turning complex findings into actions that improve self-service, reduce confusion, or streamline workflows.

• Experience partnering through product launch and measurement phases, not solely delivering initial studies.

📝 Enhancement Note: The "Must Haves" clearly define a seasoned UX researcher capable of independent strategic work. The "Nice to Haves" strongly suggest a preference for candidates with experience in AI, employee experience within IT/Ops, and a proven ability to drive research impact through to product launch and measurement, aligning with a mature product development lifecycle.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 2-3 distinct case studies demonstrating end-to-end UX research project ownership, from initial problem definition to actionable insights and impact.

• Each case study should clearly articulate the research objectives, the methodologies employed (qualitative and quantitative mix), the research process, key findings, and the tangible impact or recommendations delivered.

• Specifically highlight projects involving enterprise internal tools, employee experience improvements, or complex workflow analysis.

• Include examples of how you have applied or adapted a strategic framework like Jobs-to-be-Done (JTBD) to inform product or operational decisions.

• Demonstrate proficiency in synthesizing research findings into clear, concise, and decision-ready recommendations for diverse stakeholders (product managers, engineers, operations leads). Process Documentation:

• Provide evidence of your ability to create comprehensive research plans, including participant recruitment strategies and study materials (e.g., interview guides, survey questionnaires).

• Showcase examples of how you've used collaboration and documentation systems (e.g., Confluence, Notion, research repositories) to maintain traceable research artifacts, findings, and decisions.

• Illustrate your approach to synthesizing research findings into various output formats, such as stakeholder readouts, executive summaries, and detailed reports.

• Demonstrate experience in translating research insights into concrete next steps and influencing product and operational strategies.

📝 Enhancement Note: For a Senior UX Researcher role, especially one focused on enterprise tooling and operational impact, a portfolio is critical. It needs to demonstrate not just research execution but strategic thinking, framework application (JTBD), and the ability to translate findings into tangible business outcomes and influence. The emphasis on documentation and collaboration systems also points to the need for organized and transparent research practices.

💵 Compensation & Benefits

Salary Range: Given the Senior UX Researcher title, 5+ years of experience, and the remote nature in Bogota, Colombia, a competitive salary range is expected. Based on industry benchmarks for senior UX researchers in major Latin American cities with a remote component for international companies, a range of $50,000 - $80,000 USD annually is a reasonable estimate. This range accounts for the seniority, specialized skills in enterprise/AI research, and the remote work flexibility.

Benefits:

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

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

• Flexibility: Work 100% remotely with flexible hours, supporting focus, autonomy, and a healthy work rhythm.

• Meaningful, modern projects: Opportunity to build impactful products using modern technologies alongside global teams and leading brands.

• Collaborative culture: Join a supportive, people-first environment with zero micromanagement where ideas are welcomed and contributions 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, implying a standard 40-hour work week. The mention of "flexible hours" suggests that while the total hours are consistent, the daily schedule can be adjusted to accommodate personal needs and optimize productivity, provided core collaboration times are met.

📝 Enhancement Note: The salary estimate is based on typical compensation for senior-level UX Researchers in high-cost-of-living cities or for roles with international companies hiring remotely in Latin America. The benefits package is comprehensive, with a strong emphasis on professional development, flexibility, and employee well-being, which are attractive to experienced professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: AgileEngine operates within the Software and IT Services industry, specializing in application development, AI/ML, and providing software engineering talent to Fortune 500 brands and startups. Their focus on "award-winning software" and "trailblazing startups" indicates a culture that values innovation and high-quality delivery.

Company Size: AgileEngine is an Inc. 5000 company, which generally implies a significant growth trajectory and a substantial number of employees, likely in the hundreds to over a thousand. This size offers opportunities for impactful work within specialized teams while retaining a degree of agility.

Founded: AgileEngine was founded in 2011. This provides a decade-plus of experience and established processes, suggesting a stable yet evolving company.

Team Structure:

• The UX Researcher will likely be part of a Product Development or Design team, potentially within a larger Engineering organization.

• Collaboration is expected with Product Managers, Designers, Engineers, and crucially, Service and Operations teams.

• The "people-first culture" and "zero micromanagement" suggest an environment that empowers individuals and values autonomy, with a strong emphasis on collaboration and mutual support. Methodology:

• The company's focus on "award-winning software" and "AI/ML" implies a commitment to modern development methodologies, data-driven decision-making, and continuous improvement.

• The UX Researcher's role will directly feed into these methodologies by providing user insights to inform product strategy, design, and operational efficiency.

• Emphasis on "mixed-method studies" and "jobs-to-be-done" frameworks indicates a structured, analytical approach to understanding user needs and business requirements.

Company Website: https://agileengine.com/

📝 Enhancement Note: AgileEngine's profile suggests a company that values both technical excellence and employee well-being. The growth stage indicated by being an Inc. 5000 company means opportunities for impact are significant, but also that processes are likely well-defined. The "people-first" and "zero micromanagement" ethos is a key cultural indicator for potential candidates.

📈 Career & Growth Analysis

Operations Career Level: This role is for a Senior UX Researcher, indicating an advanced individual contributor position. It requires a high degree of autonomy, strategic thinking, and the ability to mentor or guide less experienced team members implicitly. The focus on "enterprise tooling" and "employee experience" within IT/Ops positions this role as critical for internal process optimization and technology adoption.

Reporting Structure: While not explicitly stated, a Senior UX Researcher typically reports to a UX Research Lead, Design Manager, or Head of Product/Design. The role involves close collaboration with Product Managers, Service Owners, and Operations Leads, suggesting a matrixed reporting or strong cross-functional partnership structure.

Operations Impact: The Senior UX Researcher will have a direct impact on:

• The effectiveness and adoption of enterprise tools used by IT and Operations staff.

• The efficiency and usability of AI-enabled self-service experiences, potentially reducing support costs and improving employee productivity.

• Strategic decisions regarding technology investments and rollout strategies by providing data-driven user insights.

• The overall employee experience within the IT and Operations departments, influencing satisfaction and retention. Growth Opportunities:

• Skill Development: Deepen expertise in AI research, complex enterprise system research, and advanced JTBD framework application. Opportunity to learn and apply new research methodologies and tools.

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

• Career Progression: Potential to move into Lead UX Researcher roles, UX Research Manager positions, or transition into Product Management or Strategy roles with a strong user-centric foundation, especially within the enterprise software domain.

📝 Enhancement Note: This role is a significant step for a UX researcher looking to specialize in enterprise environments and AI adoption. The growth opportunities are framed around deepening strategic research skills and influencing critical internal technology decisions, rather than solely focusing on external-facing consumer products.

🌐 Work Environment

Office Type: This role is advertised as 100% remote, meaning there is no physical office requirement. The work is conducted from the employee's home or a chosen remote workspace.

Office Location(s): While the role is remote, the primary location mentioned is Bogota, Colombia. This suggests that candidates based in or near Bogota may be preferred for time zone alignment and potential local support initiatives, though the "100% remote" aspect implies broader geographical flexibility within reasonable working hours.

Workspace Context:

• Autonomy & Flexibility: The 100% remote and flexible hours policy creates an environment where individuals are trusted to manage their own time and workspace to maximize productivity and well-being.

• Technology & Tools: Employees will be expected to have a reliable internet connection and a suitable home office setup. Access to AgileEngine's collaborative and documentation systems will be provided.

• Collaboration: While remote, the role emphasizes strong collaboration with global teams and stakeholders. This will be facilitated through virtual communication tools (e.g., Slack, Zoom, Teams) and documentation platforms.

Work Schedule: The role is full-time with flexible hours. This allows individuals to structure their workday around personal needs while ensuring availability for team meetings, stakeholder syncs, and research sessions, likely aligning with the Bogota (America/Bogota) time zone for core collaboration.

📝 Enhancement Note: The 100% remote and flexible hours are key selling points, offering significant autonomy. The emphasis on collaboration tools and time zone alignment for Bogota suggests that while remote, proactive communication and integration with the team are essential for success.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will review applications and resumes, likely focusing on the required years of experience, core UX research skills, and specific experience with enterprise tools or JTBD frameworks.

• Portfolio Review & Discussion: Candidates will be asked to present their portfolio, showcasing 2-3 key projects. This will involve detailing the research problem, methodology, process, findings, and impact, with a focus on how they translated insights into actionable recommendations. Expect questions about how you scoped research, handled challenging stakeholders, and measured the impact of your work.

• Technical/Skills Interview: This may involve a deeper dive into specific research methodologies, problem-solving scenarios related to IT/Ops employee experience, and potentially a take-home assignment or a live case study exercise. This will assess your ability to apply JTBD frameworks, analyze qualitative/quantitative data, and propose solutions for AI adoption or tooling validation.

• Stakeholder/Team Fit Interview: Interviews with potential collaborators (e.g., Product Managers, Operations Leads, other UX Researchers) to assess communication style, collaboration approach, and cultural alignment with AgileEngine's "people-first" and "zero micromanagement" values.

• Final Interview: Typically with a senior leader (e.g., Head of Product, VP of Engineering) to discuss overall strategic fit, career aspirations, and confirm alignment with the company's vision.

Portfolio Review Tips:

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

• Highlight JTBD Application: Explicitly showcase how you used or adapted the Jobs-to-Be-Done framework to drive decisions.

• Emphasize Enterprise/Ops Context: Select projects that best demonstrate your experience with internal tools, employee experience, complex workflows, or AI adoption.

• Quantify Impact: Wherever possible, use metrics to demonstrate the impact of your research (e.g., "influenced a change that reduced support tickets by X%", "led to adoption of tool Y by Z% of users").

• Tell a Story: Present your work in a narrative format that clearly communicates the journey from problem to solution, highlighting your critical thinking and problem-solving skills.

• Be Prepared for "How": Expect detailed questions about your research process, decisions made, and how you handled challenges.

Challenge Preparation:

• Understand the JTBD Framework: Be ready to discuss its principles, applications, and how you've used it to uncover user needs and inform strategy.

• AI Adoption Scenarios: Prepare for hypothetical scenarios involving the rollout of new AI tools for employees, focusing on identifying user concerns, trust issues, and adoption barriers.

• Enterprise Tooling Evaluation: Anticipate questions about how you would research and validate new enterprise software for internal teams, considering factors like usability, efficiency, and integration with existing workflows.

• Data Synthesis & Recommendation: Practice synthesizing findings from simulated qualitative and quantitative data into actionable recommendations for product and operational stakeholders.

📝 Enhancement Note: The interview process is designed to assess a candidate's ability to operate independently at a senior level, particularly in strategic research application within an enterprise context. A strong, well-articulated portfolio that showcases JTBD and enterprise experience will be paramount.

🛠 Tools & Technology Stack

Primary Tools:

• Research Platforms: Proficiency with common platforms for participant recruitment, moderated and unmoderated studies, surveys, and synthesis. Examples may include UserTesting.com, Qualtrics, SurveyMonkey, Lookback, Maze, Dovetail, or similar.

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

• Communication Tools: Experience with tools like Slack, Microsoft Teams, Zoom, or Google Meet for day-to-day communication and virtual meetings.

Analytics & Reporting:

• Experience with survey analysis tools (e.g., Qualtrics, SurveyMonkey built-in analytics) and potentially basic data analysis tools (e.g., Excel, Google Sheets) for quantitative data synthesis.

• Ability to create clear, concise research readouts and executive-ready presentations using tools like PowerPoint, Google Slides, or Keynote.

CRM & Automation: While not directly a CRM role, an understanding of how user research insights can inform CRM strategies or how enterprise tools (which may include CRM components) function is beneficial. Familiarity with automation concepts as they relate to self-service experiences and AI is also relevant.

📝 Enhancement Note: The emphasis is on tools that facilitate research execution, data synthesis, documentation, and communication. While specific platforms are not mandated, a strong familiarity with industry-standard UX research tools and collaborative documentation systems is expected.

👥 Team Culture & Values

Operations Values:

• User-Centricity: A deep commitment to understanding and advocating for the user, ensuring that technology and processes meet their needs effectively.

• Data-Driven Decision Making: Reliance on research insights and data to inform strategies, validate hypotheses, and measure impact.

• Collaboration & Partnership: Working closely with cross-functional teams (Product, Engineering, Service, Operations) to ensure research is integrated into the product lifecycle and operational planning.

• Impact & Efficiency: A focus on delivering research that leads to tangible improvements in user experience, process efficiency, and business outcomes.

• Continuous Learning & Improvement: Embracing new methodologies, tools, and approaches to stay at the forefront of UX research and contribute to ongoing team development.

Collaboration Style:

• Proactive Engagement: Actively seeking out opportunities to collaborate with product, service, and operational teams, rather than waiting to be assigned tasks.

• Transparent Communication: Openly sharing research plans, findings, and recommendations through documentation and presentations to ensure alignment and buy-in.

• Feedback Integration: Open to receiving and providing constructive feedback to improve research processes and outcomes.

• Cross-Functional Understanding: Demonstrating an understanding of the goals and challenges faced by different departments to ensure research is relevant and actionable for all stakeholders.

📝 Enhancement Note: The culture at AgileEngine, as described, values autonomy, collaboration, and a results-oriented approach. The UX Researcher will be expected to be a proactive partner, driving insights that contribute directly to the efficiency and effectiveness of internal operations and employee experiences.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Ambiguity: Independently scoping research from broad, ambiguous questions into focused, actionable studies within complex enterprise environments.

• Bridging User Needs and Business Goals: Effectively translating user insights into recommendations that align with business objectives, operational constraints, and technical feasibility.

• Influencing Cross-Functional Teams: Gaining buy-in and driving action from diverse stakeholders (Product, Engineering, Operations, Service) who may have different priorities.

• Researching Emerging Technologies: Staying current with and effectively researching the adoption of AI-enabled tools, understanding nuanced user behaviors like trust, reliance, and validation.

• Maintaining JTBD Framework: Effectively updating and extending a strategic framework like JTBD to ensure it remains relevant and actionable across multiple initiatives and evolving business needs.

Learning & Development Opportunities:

• Deep Dive into AI & Enterprise UX: Gain specialized expertise in researching AI-driven products, employee experience within IT/Ops, and complex enterprise software ecosystems.

• Strategic Framework Application: Hone skills in developing and applying strategic research frameworks like Jobs-to-Be-Done to inform high-level product and business decisions.

• Cross-Functional Influence: Develop advanced stakeholder management and communication skills to effectively influence decision-making across various departments.

• Mentorship & Knowledge Sharing: Opportunities to learn from experienced colleagues and contribute to the growth of the UX research practice through mentorship and internal knowledge-sharing sessions.

• Professional Development Budget: Utilize the annual learning budget to attend conferences, take courses, or pursue certifications relevant to UX research, AI, or enterprise technology.

📝 Enhancement Note: The challenges presented are typical for a senior, strategic role focused on complex enterprise environments and emerging technologies. The growth opportunities are well-aligned with deepening expertise in these areas and developing influencing and leadership capabilities.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you independently scoped and executed a mixed-method research study from ambiguous questions to actionable recommendations. What was the outcome?" (Assesses autonomy, methodology, and impact)

• "How have you used or adapted a Jobs-to-Be-Done framework in your previous roles? Provide a specific example of how it influenced product or operational decisions." (Assesses strategic framework application)

• "Walk us through a research project where you had to influence multiple cross-functional stakeholders (e.g., Product, Engineering, Operations). What was your approach, and what challenges did you face?" (Assesses stakeholder management and communication)

• "Imagine we are rolling out a new AI-powered self-service tool for our IT support team. What are the key user experience considerations and research questions you would prioritize?" (Assesses understanding of AI adoption, employee experience, and research planning) Company & Culture Questions:

• "What interests you about AgileEngine and this specific role, particularly our focus on enterprise tooling and employee experience?" (Assesses research and motivation alignment)

• "How do you approach collaboration in a remote, 'zero micromanagement' environment? How do you ensure your work is visible and impactful?" (Assesses cultural fit and remote work effectiveness)

• "How do you ensure your research findings translate into tangible improvements for both users and the business?" (Assesses impact orientation and synthesis skills) Portfolio Presentation Strategy:

• Focus on Impact: For each case study, clearly articulate the business problem, your research objectives, the actions taken based on your findings, and the measurable impact.

• Showcase JTBD: If applicable, dedicate a section or highlight within a case study how the JTBD framework guided your research and decision-making.

• Demonstrate Process: Be ready to explain your research process in detail, including participant selection, methodology choices, and synthesis techniques.

• Tailor to the Role: Emphasize projects that align with enterprise tooling, employee experience, or AI research, as these are key aspects of the role.

• Prepare for Q&A: Anticipate questions about your methodology choices, handling of challenging data, and how you would approach similar problems at AgileEngine.

📝 Enhancement Note: Interview preparation should focus on demonstrating senior-level autonomy, strategic thinking, strong communication skills, and direct experience with enterprise environments and advanced research frameworks like JTBD. The portfolio presentation is a critical component for showcasing these capabilities.

📌 Application Steps

To apply for this Senior UX Researcher position:

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

• Portfolio Customization: Tailor your resume and portfolio to highlight your experience with enterprise internal tools, employee experience research, AI-enabled self-service, and the application of frameworks like Jobs-to-Be-Done (JTBD). Ensure your portfolio clearly showcases 2-3 end-to-end research projects with demonstrable impact.

• Resume Optimization: Integrate keywords from the job description such as "UX research," "mixed-method," "qualitative," "quantitative," "stakeholder management," "enterprise tooling," "employee experience," and "Jobs-to-be-done." Quantify achievements wherever possible.

• Interview Preparation: Practice articulating your research process, methodologies, and the impact of your work. Prepare specific examples for common interview questions related to stakeholder management, problem-solving, and strategic research application. Rehearse your portfolio presentation to be clear, concise, and focused on outcomes.

• Company Research: Familiarize yourself with AgileEngine's services, company culture (people-first, zero micromanagement), and recent projects. Understand their position in the software development and IT services market. This will help you tailor your answers and demonstrate genuine interest.

⚠️ 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.