Senior UX Researcher ID84743

AgileEngine
Full-timeAMCO, Area Metropolitana Centro Occidente, Colombia

📍 Job Overview

Job Title: Senior UX Researcher ID84743

Company: AgileEngine

Location: Pereira, Risaralda, Colombia

Job Type: Full time

Category: User Experience Research / Operations

Date Posted: 2026-08-25

Experience Level: Senior (5+ years)

Remote Status: 100% Remote

🚀 Role Summary

  • This Senior UX Researcher role focuses on the IT and Operations employee experience portfolio, requiring independent scoping and execution of mixed-method research studies.

  • A key responsibility is evaluating AI-enabled self-service experiences and testing AI skill concepts to gather actionable insights for enterprise tooling decisions.

  • The role demands maintaining and extending a jobs-to-be-done (JTBD) framework across multiple initiatives, ensuring research findings directly inform product and operational strategies.

  • Collaboration with product, service, and operational teams is crucial for validating tooling decisions prior to broader rollout, emphasizing a data-driven approach to user experience enhancement.

📝 Enhancement Note: While the title is "Senior UX Researcher," the description heavily emphasizes its application within an IT and Operations context, focusing on employee experience, enterprise tooling, and AI-enabled self-service. This positions the role as a hybrid between traditional UX Research and Operations Research, requiring a deep understanding of internal business processes and employee workflows.

📈 Primary Responsibilities

  • Independently plan, scope, and execute mixed-method (qualitative and quantitative) research studies to evaluate AI-enabled self-service experiences and optimize IT support for employees.

  • Design and moderate research initiatives to test AI skill concepts, identify potential adoption barriers, and assess user trust and validation needs before wider implementation.

  • Develop and maintain a robust jobs-to-be-done (JTBD) framework, ensuring it accurately reflects employee needs across the company and guides decisions regarding the endorsed tool suite.

  • Synthesize complex research findings into clear, actionable recommendations, research artifacts, and stakeholder readouts that highlight implications and suggest concrete next steps for product and operational improvements.

  • Produce comprehensive research plans, participant recruitment strategies, and study materials for priority initiatives, ensuring rigorous methodology and clear objectives.

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

  • Partner closely with product management, service delivery, and operational teams to validate tooling decisions, ensuring alignment with business objectives and employee needs before scaling solutions.

📝 Enhancement Note: The responsibilities highlight a proactive and strategic approach to research, emphasizing not just data collection but also the strategic application of findings to influence product roadmaps and operational efficiency. The focus on JTBD and enterprise tooling suggests a need for deep analytical skills and the ability to connect user needs to business outcomes.

🎓 Skills & Qualifications

Education: While specific degree requirements are not listed, candidates are expected to possess a strong theoretical foundation and practical application in UX Research methodologies, likely obtained through a Bachelor's or Master's degree in Human-Computer Interaction, Psychology, Sociology, Computer Science, or a related field.

Experience: A minimum of 5 years of hands-on UX research experience at a senior individual contributor level is mandatory, with a proven track record of independently managing the entire research lifecycle from scoping to synthesis and recommendation.

Required Skills:

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

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

  • 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, translating insights into product and operational decisions.

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

  • Excellent written and verbal communication skills, including the ability to deliver 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 (written and spoken). 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 platforms, IT service management (ITSM) tools, self-service support systems, or digital workplace solutions.

  • Experience applying or evolving a jobs-to-be-done framework across multiple product or service areas.

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

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

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

  • Experience partnering through product launch and measurement phases, not solely focused on initial study delivery.

📝 Enhancement Note: The "Must Haves" clearly indicate a need for a seasoned researcher who can operate autonomously and strategically. The emphasis on JTBD and enterprise workflows suggests that candidates with experience in internal tools or B2B product research will have a significant advantage. The preferred skills point towards a growing need for expertise in AI and its impact on user behavior within enterprise settings.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

  • Showcase a minimum of 2-3 comprehensive case studies demonstrating the full research lifecycle: problem definition, research design (methodology, participant selection), execution, analysis, and actionable recommendations.

  • Clearly articulate the impact of your research on product or operational decisions, quantifying improvements where possible (e.g., reduced support tickets, increased tool adoption, improved user satisfaction scores).

  • Highlight experience with strategic frameworks like Jobs-to-be-Done (JTBD), illustrating how you've applied them to understand user needs and inform strategy.

  • Include examples of research artifacts such as research plans, discussion guides, survey instruments, and synthesized findings reports.

  • Demonstrate proficiency in researching enterprise internal tools, employee experience, or complex workflows. Process Documentation:

  • Provide examples of research plans that clearly outline objectives, scope, methodology, and participant criteria for complex initiatives.

  • Showcase how you have documented and communicated research findings, including stakeholder readouts and decision-ready recommendations tailored for product and operational teams.

  • Illustrate your approach to maintaining traceable research artifacts, findings, and decisions within collaborative documentation systems.

  • Include evidence of how you have contributed to or managed a research repository, ensuring knowledge continuity and accessibility.

📝 Enhancement Note: For this role, a portfolio that demonstrates strategic impact and an understanding of enterprise environments is crucial. Candidates should emphasize their ability to not only conduct research but also to translate findings into tangible business outcomes and operational improvements, particularly within the context of internal tooling and AI adoption.

💵 Compensation & Benefits

Salary Range:

Given the Senior UX Researcher title, 5+ years of experience, and the remote nature of the role in Colombia, the estimated salary range is typically between $3,500,000 - $6,000,000 COP per month. This estimate is based on market research for senior UX Researcher roles in Colombia, considering the specialized focus on IT/Operations and AI, and the company's position as an Inc. 5000 company. Actual compensation will depend on the candidate's specific experience, skills, and negotiation.

Benefits:

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

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

  • Flexibility: 100% remote work with flexible hours, promoting autonomy and work-life balance.

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

  • Collaborative culture: Supportive environment with a focus on welcoming ideas and recognizing contributions.

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

Working Hours: The role involves full-time employment with flexible hours, typically aligning with a standard 40-hour work week, allowing for autonomy in managing one's schedule to optimize focus and productivity.

📝 Enhancement Note: The salary range is an estimation based on publicly available data for comparable roles in Colombia. The benefits package is directly extracted from the job description and highlights a strong emphasis on professional growth, flexibility, and employee well-being, which are attractive aspects for senior-level operations and research professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software Development & IT Consulting. AgileEngine operates within the technology sector, specializing in application development, AI/ML, and creating software solutions for Fortune 500 brands and startups. This industry context implies a fast-paced environment driven by innovation and technological advancement.

Company Size: AgileEngine is an Inc. 5000 company, indicating significant growth and a substantial employee base. While an exact number isn't provided, this suggests a well-established organization with a global presence, likely employing hundreds or even thousands of professionals. This size offers opportunities for cross-functional collaboration and impact.

Founded: AgileEngine was founded in 2015. This relatively recent founding date suggests a company that is dynamic, adaptable, and likely embraces modern technologies and agile methodologies.

Team Structure:

  • The UX Research function likely operates as a specialized unit, potentially within a broader Product or Design department, or as a dedicated team supporting various product lines.

  • As a Senior UX Researcher, you would likely report to a UX Research Lead, Head of Product, or a Director of Design, with a matrixed reporting structure for project-specific work.

  • Cross-functional collaboration is a cornerstone of this role, involving close partnerships with Product Managers, Designers, Engineers, Service Delivery Managers, and Operations Leads. Methodology:

  • AgileEngine's focus on award-winning software and leadership in AI/ML suggests a strong emphasis on data-driven decision-making, continuous improvement, and user-centric design principles.

  • The "people-first culture" and "Best Place to Work" awards indicate a commitment to employee well-being, collaboration, and professional development.

  • Research methodologies are expected to be rigorous, employing mixed-methods to gather comprehensive insights, with a focus on translating findings into actionable business and product strategies.

Company Website: https://agileengine.com/

📝 Enhancement Note: AgileEngine's profile as a rapidly growing, award-winning software company suggests a culture that values innovation, collaboration, and employee growth. The "people-first" approach, combined with a focus on modern technologies and AI/ML, creates an environment where a Senior UX Researcher can make a significant impact on both product development and internal operational efficiency.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at a Senior Individual Contributor level within the UX Research discipline. It requires a high degree of autonomy, strategic thinking, and the ability to mentor or guide less experienced researchers indirectly through best practices and shared frameworks. The scope extends beyond traditional product UX to encompass employee experience within IT and Operations, indicating a specialized and impactful niche.

Reporting Structure: The Senior UX Researcher will likely report to a UX Research Manager or a Director of Product/Design. However, a significant portion of the role involves cross-functional collaboration, meaning you'll work closely with Product Managers, Service Owners, and Operations Leads, influencing their decisions and roadmaps without direct reporting authority over them.

Operations Impact: The role has a direct impact on the efficiency and effectiveness of internal IT and Operations processes by evaluating and informing decisions about enterprise tooling and AI-enabled self-service experiences. By ensuring that these tools meet employee needs and are adopted effectively, the researcher contributes to increased productivity, reduced support costs, and improved employee satisfaction within the organization. The application of the JTBD framework further ensures that investments in tooling are strategically aligned with actual employee job requirements.

Growth Opportunities:

  • Specialization in AI and Employee Experience: Deepen expertise in researching AI-driven tools and employee productivity, becoming a go-to expert in this critical area.

  • Strategic Framework Development: Lead the evolution and expansion of the JTBD framework across new initiatives and product areas, influencing strategic planning.

  • Mentorship and Leadership: Potentially mentor junior researchers or lead research initiatives, developing leadership skills within the UX function.

  • Cross-functional Influence: Grow influence across product, engineering, and operations teams, becoming a key advisor in technology and process decisions.

  • Learning Budget: Utilize the annual learning budget for advanced training, certifications, or conferences in AI, UX research, or operations management.

📝 Enhancement Note: This role offers a unique blend of UX research rigor applied to operational challenges. The growth path is not just about climbing a traditional UX ladder but also about becoming a critical strategic partner in how an organization leverages technology to improve its internal processes and employee productivity, particularly in the emerging space of AI-assisted workflows.

🌐 Work Environment

Office Type: AgileEngine offers a 100% remote work environment. This means there is no physical office to report to, providing maximum flexibility for employees to work from their chosen location.

Office Location(s): While the job is posted for Pereira, Risaralda, Colombia, and benefits are tailored to local well-being programs, the 100% remote nature means that employees are not tied to a specific physical office. However, candidates must be legally able to work in Colombia.

Workspace Context:

  • The remote setup encourages autonomy and requires self-discipline, with an emphasis on asynchronous communication and collaboration tools.

  • Employees are expected to have a suitable home office setup conducive to focused work and virtual meetings.

  • Collaboration occurs primarily through digital platforms, fostering a global team dynamic where ideas are shared and contributions are recognized irrespective of physical location.

  • Access to modern technologies and a supportive digital infrastructure is implied, enabling effective remote collaboration and research execution.

Work Schedule: The work schedule is flexible, supporting a standard 40-hour work week. This flexibility allows employees to structure their day to optimize focus and productivity, accommodating different personal rhythms while ensuring availability for key team interactions and project deadlines.

📝 Enhancement Note: The 100% remote and flexible hours model is a significant aspect of AgileEngine's culture. For operations-focused roles, this can be advantageous for deep-dive analysis and focused work, but it also requires strong self-management skills and effective virtual communication. The company's commitment to local well-being programs suggests an effort to provide support despite the distributed nature of the workforce.

📄 Application & Portfolio Review Process

Interview Process:

  • Initial Screening: A review of your application, resume, and portfolio to assess alignment with the required skills and experience, particularly in UX research and strategic frameworks.

  • Hiring Manager Interview: A discussion focused on your experience, research methodologies, approach to JTBD, and stakeholder management. Expect behavioral questions and scenarios related to enterprise tooling and AI research.

  • Portfolio Presentation/Case Study Review: A session where you will present one or two key case studies from your portfolio, demonstrating your research process, findings, and impact. This is a critical stage to showcase your ability to translate research into actionable insights for operations and product teams.

  • Team/Cross-functional Interview: An opportunity to meet with potential collaborators (e.g., Product Managers, Operations Leads) to assess your communication style, collaborative approach, and cultural fit within the organization's "people-first" environment.

  • Final Interview: Potentially with a senior leader to discuss strategic alignment, career aspirations, and finalize any remaining questions.

Portfolio Review Tips:

  • Structure for Impact: Organize your case studies to clearly demonstrate the problem, your research approach, key findings, and the concrete impact or recommendations made. Quantify results whenever possible.

  • Highlight JTBD Application: Specifically showcase how you've used or adapted Jobs-to-be-Done or similar frameworks to drive strategic decisions in past roles.

  • Emphasize Enterprise/Operations Context: Select examples that demonstrate your experience researching internal tools, employee workflows, or complex operational processes.

  • Showcase Synthesis and Communication: Clearly present how you synthesized complex data and communicated findings effectively to diverse stakeholders, including non-research audiences.

  • Prepare for Questions: Be ready to discuss your methodology choices, the challenges you faced, and how you navigated them, especially concerning enterprise tooling and AI.

Challenge Preparation:

  • You may be asked to discuss how you would approach a hypothetical research problem related to employee experience or AI tool evaluation.

  • Be prepared to articulate your strategy for stakeholder alignment and for ensuring research findings are actionable and integrated into product roadmaps and operational plans.

  • Practice presenting your work concisely and engagingly, focusing on the "so what?" of your research.

📝 Enhancement Note: The interview process emphasizes practical application and strategic thinking. Candidates should prepare to deeply discuss their portfolio, particularly examples demonstrating their ability to drive impact within enterprise settings and their understanding of strategic frameworks like JTBD. The focus on AI and employee experience suggests interviewers will probe for specific examples in these areas.

🛠 Tools & Technology Stack

Primary Tools:

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

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

  • Synthesis Tools: Familiarity with qualitative analysis software (e.g., Dovetail, NVivo) or advanced spreadsheet/presentation techniques for synthesizing large datasets.

Analytics & Reporting:

  • While not the primary focus, an understanding of how to interpret quantitative data from surveys and analytics platforms is beneficial. Experience with tools like Google Analytics or internal BI tools could be a plus. CRM & Automation:

  • While the role is not directly in CRM or automation management, understanding how internal enterprise tools and potential automation features impact employee workflows is essential. Familiarity with ITSM platforms or employee self-service portals would be advantageous.

📝 Enhancement Note: The "Must Haves" explicitly mention proficiency with "common research platforms for recruitment, moderated and unmoderated studies, surveys, and synthesis," and "collaboration and documentation systems." While specific brand names are not listed, candidates should be prepared to discuss their experience with a range of such tools, emphasizing their ability to adapt to AgileEngine's specific stack.

👥 Team Culture & Values

Operations Values:

  • Data-Driven Insights: A strong emphasis on using rigorous research methods to gather objective data and translate it into actionable insights that drive informed decisions for product and operations.

  • User-Centricity: A commitment to understanding and advocating for the user (in this case, the internal employee), ensuring that tools and processes are designed to meet their needs and improve their experience.

  • Collaboration & Partnership: A belief in working closely with cross-functional teams (Product, Design, Engineering, Operations, Service) to ensure research is integrated into the development lifecycle and that solutions are well-supported.

  • Impact & Ownership: Taking ownership of research initiatives from start to finish, driving them to deliver tangible impact on business objectives and employee productivity, and seeing recommendations through to implementation.

  • Continuous Improvement: An ongoing drive to refine processes, learn new methodologies, and adapt to evolving user needs and technological advancements, particularly in AI and self-service.

Collaboration Style:

  • Cross-functional Integration: The role requires seamless collaboration across departments, acting as a bridge between user needs and business/operational requirements.

  • Proactive Communication: Regular updates, clear readouts, and open dialogue with stakeholders are essential to ensure alignment and buy-in for research findings and recommendations.

  • Feedback Exchange: An environment where constructive feedback is welcomed, both in giving and receiving, to continuously improve research quality and impact.

  • Knowledge Sharing: A culture that encourages sharing research insights, best practices, and learnings across teams to foster collective understanding and efficiency.

📝 Enhancement Note: AgileEngine's "people-first culture" and "award-winning" status suggest a positive and collaborative environment. For this role, the emphasis will be on how research insights contribute to operational efficiency and employee well-being, aligning with core values of data-driven decision-making and cross-functional partnership.

⚡ Challenges & Growth Opportunities

Challenges:

  • Navigating Complex Enterprise Workflows: Understanding and researching intricate IT and Operations processes can be challenging, requiring deep dives into system dependencies and user behaviors within specific operational contexts.

  • Influencing Cross-Functional Stakeholders: Gaining buy-in and driving action from diverse teams (Product, Engineering, Operations, Service) with potentially competing priorities requires strong communication and strategic persuasion skills.

  • Researching Ambiguous AI Concepts: Evaluating emerging AI-enabled experiences and skill concepts involves dealing with inherent ambiguity and user uncertainty, demanding flexible and innovative research approaches.

  • Maintaining JTBD Framework Integrity: Ensuring the Jobs-to-be-Done framework remains relevant, updated, and consistently applied across various initiatives requires ongoing effort and strategic oversight.

  • Measuring Impact in Remote Settings: Demonstrating the tangible impact of UX research on operational improvements and employee satisfaction in a fully remote environment necessitates robust data collection and analysis.

Learning & Development Opportunities:

  • Deep Dive into AI and Employee Experience: Gain specialized expertise in researching the human-computer interaction aspects of AI-driven enterprise tools and their impact on employee productivity and satisfaction.

  • Strategic Framework Mastery: Develop advanced skills in applying, extending, and championing strategic research frameworks like JTBD to influence organizational strategy.

  • Cross-functional Leadership: Enhance leadership capabilities by influencing product roadmaps and operational decisions through data-driven insights, potentially mentoring junior team members.

  • Industry Conferences and Certifications: Utilize the annual learning budget to attend relevant UX research, AI, or operations-focused conferences and pursue certifications.

  • Mentorship Programs: Benefit from mentorship opportunities within AgileEngine to guide career progression and skill development in specialized areas.

📝 Enhancement Note: This role presents a significant opportunity to shape the employee experience within a growing tech company by leveraging advanced research techniques. The challenges are directly tied to the strategic nature of the role, offering substantial growth potential for individuals adept at navigating complex organizational dynamics and emerging technologies.

💡 Interview Preparation

Strategy Questions:

  • "Describe a time you independently scoped and executed a mixed-method research study from start to finish. What was the outcome?" (Focus on your 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 operational decisions." (Demonstrate your strategic thinking and application of frameworks).

  • "Walk me through a research project where you had to influence product or operational stakeholders who had different priorities. How did you approach it, and what was the result?" (Highlight stakeholder management and communication skills).

  • "Imagine we are considering a new AI-powered self-service tool for our IT department. How would you approach researching its potential adoption barriers and user trust issues?" (Showcase your research planning and problem-solving abilities for AI). Company & Culture Questions:

  • "What interests you about AgileEngine's focus on 'award-winning software for Fortune 500 brands and trailblazing startups'?" (Show your understanding of their business and market position).

  • "How does your approach to UX research align with a 'people-first culture' and 'collaboration'?" (Connect your values and work style to the company's stated culture).

  • "Describe your experience working with enterprise internal tools and employee experience portfolios. What are the unique challenges and opportunities?" (Demonstrate relevant domain knowledge). Portfolio Presentation Strategy:

  • Select Relevant Case Studies: Prioritize 1-2 case studies that best showcase your experience with enterprise tooling, employee experience, AI research, and the application of strategic frameworks like JTBD.

  • Structure for Clarity: Use a clear narrative: Problem -> Research Approach -> Key Findings -> Recommendations -> Impact. Ensure each step is well-articulated.

  • Quantify Impact: Whenever possible, use metrics to demonstrate the tangible results of your research (e.g., "led to a 15% increase in tool adoption," "reduced support escalations by 10%").

  • Highlight Collaboration: Explain how you partnered with product, operations, and service teams throughout the research process and in presenting findings.

  • Be Prepared for Deep Dives: Anticipate questions about your methodology choices, data analysis, and how you handled any challenges or unexpected findings.

📝 Enhancement Note: Preparation should focus on demonstrating not just research skills but also strategic thinking, stakeholder influence, and an understanding of the operational impact of technology within an enterprise context. Highlighting specific experience with JTBD and AI research will be crucial.

📌 Application Steps

To apply for this Senior UX Researcher position:

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

  • Tailor your resume: Highlight keywords and experiences directly related to UX research, mixed-method studies, JTBD frameworks, enterprise tooling, AI research, and stakeholder management. Quantify achievements wherever possible.

  • Curate your portfolio: Select 2-3 strong case studies that demonstrate your end-to-end research process, strategic thinking, and measurable impact, specifically focusing on enterprise or employee experience projects. Be ready to walk through these in detail.

  • Prepare for interview questions: Practice articulating your experience with behavioral questions, strategy scenarios, and your approach to presenting research findings and recommendations.

  • Research AgileEngine: Familiarize yourself with the company's mission, values, and recent projects to demonstrate genuine interest and cultural alignment during the interview process.

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