Senior UX Researcher ID84743

📍 Job Overview

Job Title: Senior UX Researcher ID84743

Company: AgileEngine

Location: Cartagena, Bolívar, Colombia

Job Type: Full time

Category: User Experience Research / Product Operations

Date Posted: 2026-08-25

Experience Level: Senior (5-10 years)

Remote Status: 100% Remote

🚀 Role Summary

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

• Independently scope, execute, and synthesize mixed-method research studies to inform critical tooling and AI skill development decisions.

• Maintain and advance a Jobs-to-be-Done (JTBD) framework to guide product and operational strategy across multiple initiatives.

• Translate complex research findings into clear, actionable recommendations and executive-ready readouts for diverse stakeholder groups.

• Partner collaboratively with product, service, and operational teams to validate tooling solutions prior to broader implementation and rollout.

📝 Enhancement Note: While the role is Senior UX Researcher, its focus on employee experience portfolios, AI-enabled self-service, and enterprise tooling, alongside collaboration with operational teams, places it at the intersection of UX Research and Product Operations. This means candidates will need a strong understanding of operational workflows and how user experience directly impacts operational efficiency and employee productivity. The emphasis on JTBD framework and product validation also points towards a strategic, operations-minded approach to research.

📈 Primary Responsibilities

• Plan and execute comprehensive mixed-method (qualitative and quantitative) research studies for key IT and Operations initiatives, from initial concept to actionable recommendations.

• Design and moderate research sessions to evaluate the effectiveness of AI-enabled self-service experiences and identify opportunities to enhance IT support.

• Conduct targeted research on AI Skills concepts to understand user needs, adoption barriers, trust factors, and validation requirements before widespread deployment.

• Synthesize research findings into clear, concise reports, research artifacts, and stakeholder presentations that detail implications and actionable next steps for product and operational teams.

• Develop, maintain, and extend the Jobs-to-be-Done (JTBD) framework, ensuring it accurately reflects user needs across the organization and guides the selection of endorsed tools.

• Create detailed research plans, define participant recruitment strategies, and develop study materials for priority initiatives.

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

• Collaborate closely with product managers, service owners, and operational leaders to validate tooling decisions and ensure successful integration into existing workflows.

📝 Enhancement Note: The responsibilities emphasize an independent and strategic approach to research, requiring the candidate to not only conduct studies but also to actively manage the research lifecycle and influence product and operational roadmaps. The focus on JTBD and validation before rollout indicates a proactive role in preventing costly enterprise tooling missteps and ensuring successful adoption through user-centric design and operational alignment.

🎓 Skills & Qualifications

Education: Bachelor's or Master's degree in Human-Computer Interaction (HCI), Psychology, Sociology, Anthropology, Information Science, or a related field, or equivalent practical experience.

Experience: 5+ years of hands-on UX research experience at a senior individual-contributor level, with a proven track record of independently managing research projects from inception to completion.

Required Skills:

• Demonstrated ability to independently scope, execute, and synthesize complex mixed-method (qualitative and quantitative) UX research studies.

• Strong expertise in qualitative research methods such as user interviews, usability testing, ethnographic studies, and contextual inquiry.

• Proven ability in quantitative research methods including survey design and analysis, A/B testing, and data analytics to inform user behavior.

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

• Skill in translating research findings into clear, concise, and decision-ready recommendations tailored for product and operational stakeholders.

• Demonstrated experience developing, applying, and evolving a Jobs-to-be-Done (JTBD) or comparable strategic research framework across multiple initiatives.

• Proven ability to translate strategic frameworks into concrete product and operational decisions and tool suite endorsements.

• Excellent stakeholder management and communication skills, with the ability to collaborate effectively across product, design, engineering, operations, and service teams.

• Strong narrative and storytelling capabilities for creating executive-ready research readouts and presentations.

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

• 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 for effective communication in a global team environment. Preferred Skills:

• Experience researching AI-enabled products, AI assistants, automation technologies, or emerging technology adoption, with a focus on user trust, validation behaviors, 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, demonstrating adaptability and strategic thinking.

• Track record of conducting research that directly influenced enterprise tooling decisions, AI adoption strategies, or service experience improvements.

• Ability to connect individual research studies to a larger, ongoing strategic research framework and organizational objectives.

• Experience in turning complex, nuanced findings into concrete actions that demonstrably improve self-service capabilities, reduce user confusion, or streamline operational workflows.

• Experience partnering with teams through product launch phases and contributing to post-launch measurement and iteration cycles, extending research impact beyond initial delivery.

📝 Enhancement Note: The emphasis on "senior individual-contributor level" and "independently scope, execute, and synthesize" highlights the need for a self-starter with a strong portfolio demonstrating end-to-end research ownership. The preferred skills around AI and employee experience research are highly relevant to current enterprise technology trends and directly support the role's focus on evaluating AI-driven self-service and tooling.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• A curated collection of research projects demonstrating end-to-end ownership, from initial problem definition and research design to synthesis and actionable recommendations.

• Case studies showcasing the application of mixed-method research (qualitative and quantitative) to solve complex user problems within enterprise contexts.

• Examples of research artifacts, including research plans, discussion guides, survey instruments, synthesis reports, and stakeholder readouts, highlighting clarity and impact.

• Evidence of applying strategic research frameworks, particularly Jobs-to-be-Done (JTBD), to inform product strategy and operational decisions.

• Demonstrations of how research insights have directly influenced product roadmaps, tooling decisions, or operational process improvements, with measurable outcomes where possible. Process Documentation:

• Documentation of your personal research process, from scoping ambiguous problems to delivering decision-ready insights, emphasizing efficiency and rigor.

• Examples of how you have maintained and evolved research frameworks (e.g., JTBD) to ensure consistency and strategic alignment across multiple projects.

• Evidence of collaborative documentation practices, using tools to maintain traceable research artifacts, findings, and decisions for team accessibility and continuity.

• Examples of how you have partnered with product, service, and operational teams to ensure research findings are understood and acted upon, including validation steps before broader rollout.

📝 Enhancement Note: For a senior role focused on enterprise tooling and operational impact, a portfolio is critical. It should not just showcase research projects but also demonstrate strategic thinking, process management, and the ability to translate research into tangible business outcomes. The emphasis on JTBD framework and collaboration with operational teams means portfolio pieces should highlight how research integrates with and informs operational strategy and decision-making.

💵 Compensation & Benefits

Salary Range: Given the role is a Senior UX Researcher based in Cartagena, Colombia, and considering the company's global presence with remote work, a competitive salary range would typically be between $55,000 - $85,000 USD annually. This range is an estimate based on industry benchmarks for senior UX Researchers in Latin America, factoring in the demand for specialized skills like AI research and JTBD framework application, as well as the remote nature of the position which often aligns with global compensation standards.

Benefits:

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

• Competitive compensation: Recognition for skills and impact, with regular performance and compensation reviews to ensure fair and competitive pay.

• Flexibility: 100% remote work arrangement with flexible hours designed to promote focus, autonomy, and a healthy work-life rhythm.

• Meaningful, modern projects: Opportunity to work on impactful products using modern technologies for leading brands, alongside global teams.

• Collaborative culture: A supportive environment with an emphasis on welcoming ideas, recognizing contributions, and fostering collaboration without micromanagement.

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

Working Hours: Standard full-time hours are expected, likely around 40 hours per week. The role offers flexible hours, allowing for autonomy in scheduling to accommodate focus, productivity, and personal needs, within the context of collaborating with global teams across different time zones.

📝 Enhancement Note: The salary range is estimated based on general market data for senior UX Researchers in Latin America and the typical compensation for remote roles that align with international standards. Actual compensation will depend on the candidate's specific experience, skills, and negotiation. The benefits package highlights AgileEngine's commitment to professional development, work-life balance, and employee well-being, which are key attractors for senior 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 means the company values innovation, technical expertise, and the ability to adapt to rapidly evolving technological landscapes, particularly in areas like AI and automation.

Company Size: AgileEngine is an Inc. 5000 company, indicating significant growth and a substantial employee base. While exact numbers aren't provided, this suggests an organization large enough to have established processes and cross-functional teams but potentially agile enough to foster a dynamic work environment. For operations professionals, this size often means opportunities for impact and visibility, with the potential for well-defined career paths and access to robust internal systems.

Founded: AgileEngine was founded in 2011. This history suggests a company that has matured in the market, possesses a solid understanding of software development best practices, and has likely built a stable operational foundation while retaining an innovative edge.

Team Structure: The Senior UX Researcher will likely be part of a broader Product or Design team, but will work very closely with IT and Operations teams. This implies a matrixed or heavily cross-functional structure where collaboration is key. The research function is expected to be a central point for gathering insights that inform decisions across multiple departments, requiring strong communication and integration capabilities.

Methodology: AgileEngine's focus on award-winning software and AI/ML suggests a data-driven and iterative approach to product development. For this role, the emphasis will be on mixed-method research, strategic frameworks like JTBD, and close collaboration with operational teams to ensure research findings are practical and actionable for enterprise tooling and employee experience improvements.

Company Website: https://agileengine.com/

📝 Enhancement Note: The company's background as an Inc. 5000 company and its focus on AI/ML and Fortune 500 clients suggest a high-performance environment where research directly contributes to strategic business outcomes. The emphasis on a "people-first culture" and "Best Place to Work" awards indicates a supportive environment, which is crucial for operations roles that often require deep collaboration and problem-solving.

📈 Career & Growth Analysis

Operations Career Level: This role is designated as "Senior," indicating a position of significant autonomy and expertise. A Senior UX Researcher is expected to lead research initiatives independently, mentor junior team members (if applicable), and contribute strategically to product and operational roadmaps. The focus on a "portfolio" of employee experience and enterprise tooling suggests a specialization within UX research that directly supports operational efficiency and employee productivity.

Reporting Structure: While not explicitly stated, a Senior UX Researcher typically reports to a UX Research Lead, Head of Product, Director of Design, or potentially a Director of Operations or Employee Experience, depending on the team's organizational structure. The role requires extensive collaboration with product managers, service owners, IT professionals, and operational stakeholders, indicating a central position in cross-functional decision-making processes.

Operations Impact: The Senior UX Researcher will have a direct impact on the effectiveness and efficiency of IT and Operations departments by evaluating and validating enterprise tooling and AI-enabled self-service experiences. Their work will inform decisions that improve employee productivity, reduce operational friction, enhance user adoption of new technologies, and ultimately contribute to a better employee experience, which is crucial for overall business performance and retention.

Growth Opportunities:

• Specialization Deepening: Further develop expertise in AI research, employee experience research, and advanced JTBD framework applications.

• Strategic Influence: Grow into a role where you are shaping the strategic direction of enterprise tooling and employee experience initiatives based on research insights.

• Leadership Potential: Opportunities to mentor junior researchers, lead larger research programs, or transition into leadership roles within UX research or product operations.

• Cross-functional Expertise: Gain deep insights into IT and operational workflows, enhancing your understanding of enterprise systems and business processes.

• Learning Budget: Utilize the annual learning budget for specialized courses, certifications, or conferences relevant to advanced UX research, AI, or operations.

📝 Enhancement Note: The growth opportunities emphasize moving beyond execution to strategic contribution and potential leadership, aligning with typical career trajectories for senior operations and research professionals in growing tech companies. The focus on employee experience and enterprise tooling suggests a pathway into more specialized product operations or strategic research roles.

🌐 Work Environment

Office Type: This position is 100% remote, offering a "Work Solely" arrangement. This means the primary workspace will be a home office, providing maximum flexibility and autonomy.

Office Location(s): The role is based in Cartagena, Bolívar, Colombia. While the role is remote, being located in Colombia allows access to local well-being programs and support tailored to the region, suggesting the company values localized support structures even for its remote workforce.

Workspace Context:

• Autonomy and Flexibility: The 100% remote and flexible hours setup is ideal for deep work, allowing researchers to structure their day for maximum productivity, especially for tasks requiring intense focus like data synthesis and report writing.

• Technology Access: As a tech company, it's expected that AgileEngine provides necessary tools and software, or supports the acquisition of them, to facilitate remote research, collaboration, and documentation.

• Global Collaboration: While working remotely, the role involves collaboration with global teams and leading brands, offering exposure to diverse work styles and international projects. This necessitates strong digital communication and collaboration skills.

Work Schedule: The standard working hours are approximately 40 hours per week, but with flexible scheduling. This flexibility is crucial for operations roles, allowing individuals to manage their time effectively, balance personal commitments, and optimize their working hours for peak performance, while still ensuring alignment with team needs and project deadlines.

📝 Enhancement Note: The remote and flexible nature of the role is a significant draw for operations professionals who value work-life balance and autonomy. The mention of local well-being programs for Colombia-based employees adds a layer of personalized support that can be appealing. The emphasis on collaboration with global teams highlights the need for strong remote communication and time management skills.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A brief call with an HR representative or recruiter to assess basic qualifications, experience, and cultural fit.

• Technical Interview: An in-depth interview with the hiring manager or a senior member of the UX Research or Product Operations team. This will likely focus on your research methodologies, experience with JTBD frameworks, and handling of complex enterprise tooling research.

• Portfolio Review Session: A dedicated session where you will present selected case studies from your portfolio, detailing your approach, findings, and the impact of your research. This is a critical step to demonstrate your hands-on capabilities.

• Cross-functional Collaboration Interview: An interview with stakeholders from product, service, or operations teams to assess your ability to collaborate, communicate, and translate research into actionable insights for diverse audiences.

• Final Interview: Potentially a final interview with a senior leader to discuss strategic alignment and long-term fit within the company. Portfolio Review Tips:

• Curate Strategically: Select 2-3 projects that best showcase your senior-level capabilities, particularly those involving enterprise tooling, employee experience, or AI research, and demonstrate your JTBD application.

• Tell a Story: For each case study, clearly articulate the problem, your research approach, key findings, the insights derived, and the tangible impact or recommendations made. Use a clear narrative structure.

• Highlight Process Rigor: Detail your methodologies, including why you chose specific qualitative and quantitative methods, how you managed recruitment, and your synthesis approach.

• Showcase Impact: Quantify the impact of your research whenever possible. If direct metrics are unavailable, articulate the strategic implications and potential ROI of your recommendations.

• Demonstrate Collaboration: Include examples of how you partnered with product, design, and operational teams, and how you presented findings to different stakeholder groups.

• Prepare for Questions: Be ready to discuss your decision-making process, challenges faced, and how you adapted your approach. Challenge Preparation:

• JTBD Framework Application: Be prepared to discuss how you would apply or evolve the JTBD framework for a specific enterprise tooling scenario or AI self-service experience.

• Research Scoping: You might be presented with an ambiguous problem related to employee experience or IT operations and asked to outline a research plan.

• Synthesis and Recommendation: You may be given a set of (hypothetical) research findings and asked to synthesize them into actionable recommendations for product or operational teams.

• Stakeholder Communication: Practice articulating complex research findings clearly and concisely, tailoring your message to different audience needs (e.g., executive vs. technical).

📝 Enhancement Note: The interview process and portfolio review are heavily geared towards assessing practical application of research skills, strategic thinking, and collaboration, especially within an enterprise and operational context. Candidates should prepare to demonstrate not just research execution but also the ability to drive impact and influence decisions.

🛠 Tools & Technology Stack

Primary Tools:

• UX Research Platforms: Proficiency with common platforms for participant recruitment (e.g., UserTesting, Respondent.io), moderated and unmoderated usability testing (e.g., UserTesting, Lookback), and survey tools (e.g., SurveyMonkey, Qualtrics, Google Forms).

• Collaboration & Documentation Tools: Experience with systems for maintaining traceable research artifacts, findings, and decisions. This could include tools like Confluence, Notion, Miro, or dedicated research repository software (specific platforms to be confirmed with the hiring manager).

• Data Synthesis & Analysis Tools: Familiarity with tools for qualitative data analysis (e.g., Dovetail, NVivo) and quantitative data analysis (e.g., Excel, Google Sheets, basic statistical software). Analytics & Reporting:

• While not a primary analytics role, understanding how to interpret user analytics from enterprise tools or platforms to inform research questions and validate findings is beneficial. Familiarity with dashboarding tools (e.g., Tableau, Power BI) for presenting aggregated findings can also be advantageous. CRM & Automation:

• Experience within enterprise environments often involves interacting with CRM systems (e.g., Salesforce) or understanding how user research can inform the design of automated workflows and self-service portals within IT Service Management (ITSM) or other operational systems.

📝 Enhancement Note: The emphasis on "common research platforms" and "collaboration and documentation systems" suggests a need for adaptability and proficiency across a range of industry-standard tools. The specific mention of "research repositories" indicates a potential requirement for structured knowledge management within the UX research function.

👥 Team Culture & Values

Operations Values:

• Data-Driven Decision Making: A strong emphasis on using research insights and data to inform product and operational decisions, ensuring a logical and evidence-based approach.

• User-Centricity: A core value of understanding and prioritizing the needs of the end-user, whether they are internal employees or external customers, to drive impactful solutions.

• Collaboration and Partnership: A culture that fosters strong working relationships across departments (Product, Design, Engineering, Operations, Service) to achieve shared goals.

• Efficiency and Optimization: A drive to continuously improve processes, tools, and experiences to enhance productivity and reduce friction.

• Impact and Ownership: A focus on taking ownership of research initiatives and ensuring they translate into tangible improvements and measurable outcomes. Collaboration Style:

• Cross-functional Integration: The role requires active collaboration with product, service, and operational teams. This means a proactive approach to communication, regular check-ins, and integrating research into their workflows.

• Feedback Exchange: An open culture for giving and receiving constructive feedback on research plans, findings, and recommendations to ensure alignment and continuous improvement.

• Knowledge Sharing: Practices that encourage sharing research insights, methodologies, and best practices across teams to build collective understanding and expertise.

• Strategic Partnership: Working as a strategic partner with operational teams to validate tooling decisions and co-create solutions that address identified user needs and operational challenges.

📝 Enhancement Note: The values and collaboration style reflect a mature, operations-focused tech environment. The emphasis on data-driven decisions, user-centricity, and cross-functional partnership is critical for a role that bridges UX research and operational effectiveness.

⚡ Challenges & Growth Opportunities

Challenges:

• Ambiguity in Enterprise Environments: Navigating complex, often legacy, enterprise systems and organizational structures to identify research opportunities and gain access to users.

• Balancing JTBD Framework with Evolving Needs: Maintaining the integrity and utility of the JTBD framework while adapting to new technologies (like AI) and evolving user needs within IT and Operations.

• Synthesizing Diverse Data Sources: Integrating insights from mixed-method research, operational data, and stakeholder feedback to form a holistic understanding of user needs and system effectiveness.

• Driving Adoption of Research Insights: Ensuring that research findings are not just delivered but are actively understood, prioritized, and implemented by product and operational teams, overcoming potential resistance to change.

• Staying Ahead of AI Trends: Keeping pace with the rapid advancements in AI and automation and understanding their implications for user experience and operational workflows. Learning & Development Opportunities:

• Advanced AI Research Techniques: Opportunities to delve deeper into researching AI-enabled products, focusing on user trust, adoption barriers, and ethical considerations.

• Strategic Framework Mastery: Further developing expertise in applying and evolving strategic frameworks like Jobs-to-be-Done for complex enterprise product portfolios.

• Operations Workflow Deep Dive: Gaining in-depth knowledge of IT Service Management, self-service support, and digital workplace tools, enhancing your understanding of operational ecosystems.

• Mentorship and Leadership: Potential to mentor junior researchers or take on leadership responsibilities for larger research programs, contributing to career progression.

• Industry Conferences & Certifications: Utilizing the annual learning budget to attend relevant conferences or pursue certifications in UX research, AI, or related operational fields.

📝 Enhancement Note: The challenges presented are typical for senior roles operating at the intersection of user experience and enterprise operations, requiring strategic problem-solving and adaptability. The growth opportunities are directly aligned with the role's focus and provide clear paths for professional advancement within the company.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you independently scoped and executed a complex mixed-method UX research study for an enterprise tool or employee experience initiative. What was the outcome?" (Focus on your end-to-end process, decision-making, and impact.)

• "How would you approach applying or evolving the Jobs-to-be-Done framework to understand the needs of IT operations staff regarding new collaboration tools?" (Demonstrate your strategic thinking and JTBD expertise.)

• "Walk us through a situation where your research findings led to a significant change in product strategy or operational processes. How did you ensure your insights were understood and acted upon?" (Highlight your ability to influence and drive adoption.) Company & Culture Questions:

• "What interests you specifically about researching employee experience and enterprise tooling at AgileEngine?" (Showcase your research into the company and role.)

• "How do you typically collaborate with product managers, engineers, and operational stakeholders to ensure research is integrated into their workflows?" (Assess your cross-functional collaboration skills.)

• "How do you measure the impact of your research beyond initial recommendations? Have you been involved in post-launch measurement or iteration?" (Focus on your commitment to long-term impact and continuous improvement.) Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, start with the business problem or user need, detail your research approach, present key findings and insights concisely, and conclude with the recommendations and their impact.

• Highlight JTBD Integration: Explicitly show how the JTBD framework informed your research questions, analysis, or recommendations in relevant projects.

• Visualize Your Data: Use clear charts, graphs, and quotes to illustrate your findings and make them easily digestible. Avoid overwhelming slides with text.

• Focus on Actionability: Emphasize the "so what?" – what actions did your research enable for product and operations teams?

• Be Prepared for Deep Dives: Anticipate questions about your methodology, participant selection, synthesis process, and how you handled challenges.

📝 Enhancement Note: Interview preparation should focus on demonstrating senior-level autonomy, strategic thinking, and a proven ability to deliver actionable insights that impact enterprise operations and employee experience. The portfolio presentation is a key component, so practicing a clear, impact-driven narrative is essential.

📌 Application Steps

To apply for this Senior UX Researcher position:

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

• Tailor Your Resume: Highlight your 5+ years of hands-on UX research experience, specifically mentioning your work with enterprise tools, employee experience, AI research, and your proficiency with mixed-methodologies. Use keywords from the job description such as "Jobs-to-be-Done," "stakeholder management," and "qualitative/quantitative research."

• Prepare Your Portfolio: Curate 2-3 strong case studies that showcase your ability to independently scope, execute, and synthesize research, with a clear emphasis on impact and actionable recommendations for operational or product decisions. Ensure it highlights your JTBD framework application.

• Practice Your Presentation: Rehearse presenting your portfolio case studies, focusing on a clear narrative, concise delivery, and articulating the impact of your research on business outcomes. Be ready to discuss your process and strategic thinking.

• Research AgileEngine: Familiarize yourself with AgileEngine's work, their focus on AI/ML, and their company culture. Understand how your UX research expertise aligns with their mission and values, particularly in supporting enterprise tooling and employee experience.

⚠️ 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.