Senior UX Researcher ID84743

📍 Job Overview

Job Title: Senior UX Researcher (ID84743)

Company: AgileEngine

Location: Bucaramanga, Santander, Colombia

Job Type: Full-time

Category: User Experience Research / Operations Research

Date Posted: August 25, 2026

Experience Level: Senior (5+ years)

Remote Status: 100% Remote

🚀 Role Summary

• Spearhead hands-on UX research for an IT and Operations employee experience portfolio, driving continuity and impact.

• Independently scope and execute mixed-method studies to evaluate AI-enabled self-service experiences and test AI skill concepts.

• Develop and maintain a robust jobs-to-be-done (JTBD) framework across multiple strategic initiatives.

• Synthesize complex findings into actionable, decision-ready recommendations for product, service, and operational stakeholders.

• Partner closely with cross-functional teams to validate enterprise tooling decisions before broader rollout, ensuring user-centricity and operational efficiency.

📝 Enhancement Note: This role is positioned as a Senior UX Researcher, with a strong emphasis on applying research methodologies to internal enterprise tools and employee experience within IT and Operations. The core function involves bridging user needs with technological solutions, particularly in the context of AI and self-service platforms. The focus on a "jobs-to-be-done" framework suggests a strategic approach to understanding user motivations and improving workflows, which is highly relevant to operations professionals aiming to optimize processes and tool adoption.

📈 Primary Responsibilities

• Independently plan, scope, and conduct mixed-method qualitative and quantitative research studies to address complex questions within priority IT & Ops initiatives.

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

• Conduct targeted research on AI Skills concepts to uncover user needs, adoption barriers, and trust/validation requirements prior to large-scale deployment.

• Synthesize research findings into comprehensive reports, actionable recommendations, and compelling stakeholder readouts that clearly articulate implications and proposed next steps.

• Maintain, extend, and champion the jobs-to-be-done (JTBD) framework, ensuring it accurately reflects user jobs across the organization and informs endorsed tool suite evaluations.

• Develop detailed research plans, define participant and recruitment strategies, and create all necessary study materials for high-priority initiatives.

• Deliver clear, concise, and decision-ready findings and recommendations that span AI-enabled self-service, AI skills, collaboration tools, and broader business process optimization opportunities.

• Collaborate proactively with product managers, designers, engineers, operations, and service teams to validate tooling decisions, ensuring alignment with user needs and business objectives before scaling.

📝 Enhancement Note: The responsibilities highlight a deep dive into internal enterprise tooling and employee experience, which is a critical area for Revenue and Sales Operations. The emphasis on evaluating AI-enabled self-service and IT support experiences directly relates to optimizing internal workflows and improving operational efficiency. The requirement to maintain and extend a JTBD framework is a strategic imperative for understanding user needs within complex operational environments, directly impacting tool adoption and process improvement.

🎓 Skills & Qualifications

Education:

• While no specific degree is mandated, a Bachelor's or Master's degree in Human-Computer Interaction (HCI), Psychology, Sociology, Anthropology, Computer Science, or a related field is typically expected for Senior UX Researcher roles, demonstrating a foundational understanding of research methodologies and human behavior. Experience:

• A minimum of 5 years of hands-on UX research experience at a senior individual contributor level, with a proven track record of independently scoping, executing, and synthesizing research studies from ambiguity to actionable insights.

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

• Proven ability to translate research findings into clear, concise, and decision-ready recommendations for product, design, engineering, and operational stakeholders.

• Substantial experience in developing, applying, and extending a strategic research framework, such as Jobs-to-Be-Done (JTBD), across multiple product or service initiatives, and effectively translating it into tangible product and operational decisions.

• Experience working within established enterprise product, service, and operational workflows, understanding the nuances of internal system adoption and change management. Required Skills:

• UX Research: Comprehensive expertise in designing, conducting, and analyzing user research studies.

• Mixed-Method Research: Proficient selection, execution, and analysis of both qualitative (e.g., interviews, usability testing) and quantitative (e.g., surveys, analytics) research methodologies.

• Jobs-to-Be-Done (JTBD) Framework: Demonstrated ability to develop, apply, and evolve strategic research frameworks like JTBD to understand user needs and inform product/operational strategy.

• Enterprise Tooling & Employee Experience: Experience researching and understanding the complexities of internal enterprise software, employee productivity tools, and IT support systems.

• Data Synthesis & Storytelling: Ability to synthesize complex data from multiple sources into clear, compelling narratives and actionable recommendations for diverse stakeholder groups.

• Stakeholder Management: Collaborative and effective engagement with product managers, designers, engineers, operations, service teams, and executive leadership.

• Communication Skills: Exceptional written and verbal communication, with a proven ability to deliver concise research readouts and executive-ready presentations.

• Research Platforms Proficiency: Familiarity with common research platforms for participant recruitment, moderated/unmoderated studies, survey deployment, and data synthesis.

Preferred Skills:

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

• Direct experience with employee experience platforms, IT Service Management (ITSM) tools, self-service support portals, or digital workplace solutions.

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

• Ability to connect individual research initiatives to a broader, ongoing strategic research framework and organizational objectives.

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

📝 Enhancement Note: The qualifications emphasize a senior-level researcher capable of independent work and strategic thinking. The explicit mention of "enterprise internal tools," "employee experience," and "complex cross-functional workflows" is highly relevant for operations roles, particularly in areas like Sales Operations and Revenue Operations where internal tool adoption, process efficiency, and cross-departmental collaboration are paramount. The JTBD framework is a key differentiator, indicating a need for strategic user understanding rather than just tactical usability testing.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Case Studies of Independent Research: Showcase 2-3 detailed case studies demonstrating your ability to independently scope, execute, and synthesize mixed-method research projects from inception to actionable outcomes.

• Demonstration of JTBD Framework Application: Include examples or descriptions of how you have applied or evolved a Jobs-to-Be-Done (or similar strategic framework) to inform product or operational decisions, highlighting the impact on tool selection or process optimization.

• Enterprise Tooling Research Examples: Present research projects focused on internal enterprise tools, employee experience, or complex operational workflows, illustrating your understanding of this specific domain.

• Synthesis and Recommendation Artifacts: Provide examples of research artifacts, such as detailed reports, stakeholder readouts, or decision-ready recommendations, that clearly articulate findings and proposed next steps.

• Quantitative and Qualitative Integration: Showcase projects where you effectively combined qualitative and quantitative data to provide a holistic understanding of user needs and behaviors.

Process Documentation:

• Research Planning & Execution: Document your process for creating research plans, defining participant recruitment strategies, and developing study materials for complex initiatives.

• Synthesis and Reporting Methodology: Outline your approach to synthesizing data from various research methods and translating it into clear, concise, and impactful stakeholder readouts.

• Framework Maintenance and Extension: Describe your methodology for maintaining and extending strategic research frameworks like JTBD, ensuring their ongoing relevance and integration into organizational decision-making.

• Cross-Functional Collaboration Workflow: Illustrate your process for partnering with product, service, and operational teams, including how you integrate their input and validate tooling decisions.

📝 Enhancement Note: For operations roles, a portfolio is crucial for demonstrating practical application of skills. This section emphasizes the need to showcase experience with internal enterprise systems, process optimization through frameworks like JTBD, and the ability to translate complex research into actionable operational improvements. This is a direct opportunity for candidates to highlight their impact on efficiency, tool adoption, and strategic decision-making within an organizational context.

💵 Compensation & Benefits

Salary Range:

• Based on market research for Senior UX Researchers in Colombia, particularly for remote roles with international companies, and considering the 5+ years of experience requirement and the specific focus on enterprise tooling and AI research, a competitive annual salary range is estimated between $45,000,000 COP to $75,000,000 COP. This range can fluctuate based on the candidate's specific experience, negotiation, and the company's compensation philosophy for its global workforce. Benefits:

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

• Competitive Compensation: Recognition for skills and impact with regular performance and compensation reviews, ensuring fair remuneration.

• 100% Remote Work: Flexibility to work from any location within Colombia, promoting autonomy and work-life balance.

• Flexible Hours: Ability to structure workdays to optimize focus, productivity, and personal rhythm, supporting a healthy work-life integration.

• Meaningful Projects: Opportunity to work on impactful products using modern technologies alongside global teams and leading brands, contributing to significant initiatives.

• Collaborative Culture: Join a supportive, people-first environment with a focus on welcoming ideas and recognizing contributions, fostering a positive work experience.

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

Working Hours:

• The role is advertised with "flexible hours that support focus, autonomy, and a healthy work rhythm," aligning with the 100% remote work arrangement. While a standard 40-hour work week is implied, the flexibility allows for adaptation to different time zones and personal schedules, provided core responsibilities and collaboration needs are met.

📝 Enhancement Note: The salary estimate for this role in Colombia is based on industry benchmarks for senior-level UX research positions, factoring in the complexity of the role (enterprise tooling, AI research) and the company's likely positioning as an international employer. The benefits listed are comprehensive and align with modern remote work expectations, particularly the emphasis on professional development and flexibility, which are attractive to operations professionals seeking growth and work-life balance.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software Development & IT Consulting. AgileEngine operates within the technology sector, creating software solutions for Fortune 500 brands and startups across diverse industries. This context suggests a fast-paced, innovation-driven environment.

Company Size: AgileEngine is an Inc. 5000 company, indicating it is a rapidly growing mid-to-large-sized organization. This size often means a blend of established processes with the agility to adapt and innovate, offering opportunities for impact.

Founded: Founded in 2011, AgileEngine has over a decade of experience building award-winning software and has established itself as a leader in application development and AI/ML. This history suggests a stable yet forward-thinking organization.

Team Structure:

• Operations Research Focus: The role sits within a portfolio focused on IT and Operations employee experience, implying collaboration with IT, HR, and operational efficiency teams.

• Cross-Functional Collaboration: The Senior UX Researcher will partner closely with product, service, and operational teams, indicating a matrixed or highly collaborative structure where research insights inform decisions across multiple departments.

• Independent Contributor Role: While collaborative, the role emphasizes being a "senior individual contributor," suggesting a high degree of autonomy in research execution and strategic thinking, with direct reporting likely to a UX Research Lead or a Director of Product/Operations.

Methodology:

• Data-Driven Decision Making: The role is centered on generating actionable insights through rigorous research, emphasizing a data-driven approach to product and tooling decisions.

• Agile and Iterative Processes: Given the company's name and industry, it's highly probable that research is integrated into agile development cycles, supporting iterative improvements and rapid validation.

• User-Centric Design Philosophy: The core of the role is to advocate for the user (in this case, internal employees and IT/Ops personnel) by ensuring their needs and pain points are understood and addressed through technology and process improvements.

Company Website: https://agileengine.com/

📝 Enhancement Note: AgileEngine's profile as an Inc. 5000 company with a focus on award-winning software and a "people-first" culture suggests an environment that values innovation, professional growth, and employee well-being. For an operations-focused UX researcher, this means opportunities to influence internal tools and processes within a dynamic tech company, with potential for significant impact on employee productivity and satisfaction.

📈 Career & Growth Analysis

Operations Career Level: This role is clearly positioned at a Senior level, signifying a high degree of autonomy, expertise, and strategic contribution. A Senior UX Researcher is expected to lead complex research initiatives, mentor junior team members, and significantly influence product and operational strategy. They are seen as subject matter experts in their domain.

Reporting Structure: The Senior UX Researcher will likely report to a UX Research Manager, Director of Product, or a lead within the IT/Operations function responsible for employee experience. The role requires close collaboration with Product Managers, Designers, Engineers, and various operational teams, indicating a central position within the product development and operational improvement lifecycle.

Operations Impact: The impact of this role is profound, focusing on improving the employee experience for IT and Operations personnel. By evaluating AI-enabled self-service, testing AI skill concepts, and validating enterprise tooling, the researcher directly contributes to:

• Increased Operational Efficiency: Streamlining workflows and tool adoption for internal teams.

• Enhanced Employee Productivity: Ensuring employees have the right tools and support to perform their jobs effectively.

• Informed Strategic Decisions: Providing critical data to guide investments in technology and process improvements within IT and Operations.

• Reduced Friction and Frustration: Identifying and mitigating pain points in employee tool usage and support interactions.

Growth Opportunities:

• Specialization in AI & Enterprise UX: Deepen expertise in researching cutting-edge AI technologies and their application within enterprise environments, a highly sought-after skill set.

• Strategic Framework Development: Lead the evolution and strategic application of frameworks like Jobs-to-Be-Done across the organization, influencing broader company strategy.

• Mentorship and Leadership: Opportunity to mentor junior researchers, contribute to team best practices, and potentially grow into a leadership role within UX Research or a related operational strategy function.

• Cross-Functional Influence: Expand influence across different departments by successfully driving research-informed improvements in IT, Operations, Product, and Service areas.

• Learning & Development Budget: Utilize the allocated annual learning budget for advanced training, conferences, or certifications relevant to AI, enterprise UX, or operations strategy.

📝 Enhancement Note: The career path for a Senior UX Researcher in this context leans heavily into operational improvement and strategic influence. The ability to impact internal workflows, tool adoption, and employee productivity makes this role highly relevant for individuals aspiring to move into operational leadership or strategic planning roles within the tech industry. The focus on AI and enterprise tools also positions the candidate at the forefront of current technological trends impacting business operations.

🌐 Work Environment

Office Type: This role is 100% remote, meaning there is no physical office requirement for the employee. The work is conducted from the employee's chosen location.

Office Location(s): While the role is remote, the job posting specifies the location as Bucaramanga, Santander, Colombia. This likely indicates that candidates must be legally authorized to work in Colombia, or that the company has a presence or specific compliance requirements for employees in this region. The "Well-being & support tailored to your location" benefit further reinforces this.

Workspace Context:

• Autonomy and Flexibility: The 100% remote and flexible hours environment fosters a high degree of autonomy, allowing researchers to structure their workday for optimal focus and productivity.

• Digital Collaboration Tools: Expect to heavily utilize digital collaboration platforms (e.g., Slack, Microsoft Teams, Zoom, Miro, Confluence) for communication, meetings, research planning, and artifact sharing.

• Access to Research Tools: The role requires proficiency with common research platforms for recruitment, moderated/unmoderated studies, surveys, and synthesis, as well as documentation tools, which are typically cloud-based and accessible remotely.

• Global Team Interaction: Opportunities to collaborate with a diverse, global team of professionals, enriching the work experience and exposing the researcher to different perspectives.

Work Schedule: The role offers "flexible hours" within a 100% remote setup. While a standard 40-hour work week is generally expected, the emphasis is on autonomy and outcomes rather than strict adherence to a 9-to-5 schedule. This flexibility is ideal for deep work sessions required for research analysis and synthesis.

📝 Enhancement Note: The remote and flexible nature of this role is a significant draw for operations professionals who value work-life integration and autonomy. The context of working with a global team and utilizing digital collaboration tools is standard for modern tech companies and requires strong self-management skills, which are critical for success in any operations role.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Likely a brief call with HR or a recruiter to assess basic qualifications, experience, and cultural fit. Prepare to articulate your experience with enterprise tools and mixed-method research.

• Hiring Manager Interview: A more in-depth conversation with the hiring manager to discuss your background, approach to UX research, experience with JTBD frameworks, and specific examples from your portfolio. Focus on how you tackle ambiguous problems and deliver actionable insights.

• Technical/Portfolio Review: A session dedicated to reviewing your portfolio. Be prepared to walk through 1-2 key case studies, detailing your research process, methodologies, findings, and the impact of your work. Expect questions about your experience with AI research and enterprise tooling.

• Team/Cross-Functional Interviews: Interviews with potential collaborators (e.g., Product Managers, Designers, Engineers, Operational Leads) to assess your collaboration style, communication skills, and ability to influence cross-functional teams.

• Final Interview/Offer: A final discussion, potentially with a senior leader, to confirm fit and extend an offer.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 projects that best showcase your end-to-end UX research process, your ability to work independently, your experience with enterprise tools/employee experience, and your application of strategic frameworks like JTBD.

• Focus on Impact: For each project, clearly articulate the problem, your research approach, the key insights, and most importantly, the impact of your findings on product decisions, operational improvements, or business outcomes. Quantify impact where possible (e.g., "recommendations led to a X% increase in adoption," "identified friction points that could be resolved to save Y hours per employee").

• Highlight JTBD Application: Explicitly detail how you used or evolved the JTBD framework. Show how it helped define user needs, prioritize features, or inform tool selection.

• Demonstrate Mixed Methods: Show how you integrated qualitative and quantitative data to build a comprehensive understanding.

• Storytelling: Structure your case studies as compelling narratives. Explain the context, the challenge, your journey, the discoveries, and the resolution or recommendations.

• Conciseness: Be prepared to present your portfolio effectively within the allotted time. Focus on the most critical aspects of each project.

Challenge Preparation:

• Hypothetical Research Scenario: You might be given a scenario related to evaluating an internal tool or an AI-enabled self-service feature and asked to outline a research plan. Focus on defining research objectives, selecting appropriate methods, identifying target participants, and outlining how you'd synthesize findings.

• Problem-Solving Exercise: Be ready to discuss how you would approach a complex operational problem using research methodologies. Emphasize your analytical thinking, structured approach, and ability to translate problems into research questions.

• Stakeholder Communication: Prepare to discuss how you would communicate research findings and recommendations to different stakeholders (e.g., executives, product managers, engineers) to ensure buy-in and action.

📝 Enhancement Note: The application process emphasizes practical demonstration of skills through a portfolio. For operations professionals, this means framing research projects in terms of their impact on efficiency, process improvement, and strategic tool adoption. Highlighting experience with internal enterprise systems and the ability to influence operational decisions will be key differentiators.

🛠 Tools & Technology Stack

Primary Tools:

• UX Research Platforms: Proficiency with common platforms for participant recruitment (e.g., UserTesting.com, Respondent.io), moderated and unmoderated study execution (e.g., UserTesting, Lookback, Maze), survey creation (e.g., SurveyMonkey, Qualtrics, Google Forms), and qualitative data analysis (e.g., Dovetail, NVivo).

• Documentation & Collaboration Tools: Experience with systems for maintaining traceable research artifacts, findings, and decisions. This likely includes tools such as Confluence, Notion, Google Workspace (Docs, Sheets), or similar knowledge management and collaboration platforms.

• Prototyping & Design Tools (Familiarity): While not a designer, understanding or basic familiarity with tools like Figma, Sketch, or Adobe XD can be beneficial for reviewing prototypes and understanding design artifacts.

Analytics & Reporting:

• Survey Analysis Tools: Familiarity with tools to analyze quantitative survey data (e.g., Excel, Google Sheets, specialized statistical software if applicable).

• Data Visualization Tools (Basic): Ability to interpret and potentially create basic visualizations from data to support research findings, possibly using tools integrated into survey platforms or general office suites.

CRM & Automation (Indirect Relevance):

• While not directly managing CRM or automation systems, understanding how internal enterprise tools (which may include CRM or workflow automation components) function and are used by employees is crucial. Familiarity with the impact of CRM and automation on employee workflows is valuable.

• Familiarity with Enterprise Tooling: Understanding the landscape of enterprise software, including ITSM, HRIS, productivity suites, and internal platforms, is a key requirement.

📝 Enhancement Note: Proficiency with a range of UX research tools is essential. For operations professionals, understanding how these tools integrate with broader enterprise systems and contribute to operational efficiency and employee productivity is a key aspect. The ability to document and share findings through collaboration platforms is critical for ensuring research insights translate into actionable operational changes.

👥 Team Culture & Values

Operations Values:

• Data-Driven Decision Making: A strong emphasis on using empirical data and user insights to inform strategic decisions, particularly concerning internal tooling and operational processes.

• Efficiency and Optimization: A core drive to identify inefficiencies, streamline workflows, and improve the overall user experience for internal employees, leading to increased productivity and satisfaction.

• Collaboration and Partnership: A commitment to working closely with cross-functional teams (Product, Engineering, Operations, Service) to ensure research insights are integrated and acted upon effectively.

• User Advocacy: A dedication to representing the voice of the internal user, ensuring their needs, pain points, and workflows are understood and prioritized in the development and selection of enterprise tools.

• Continuous Learning and Improvement: An environment that encourages ongoing learning, adaptation to new technologies (like AI), and a proactive approach to refining processes and methodologies.

Collaboration Style:

• Cross-Functional Integration: Expect a highly collaborative environment where UX research is embedded within product development and operational improvement cycles, requiring close partnership with diverse teams.

• Open Communication and Feedback: A culture that likely values open dialogue, constructive feedback, and transparent sharing of research findings and recommendations.

• Knowledge Sharing: Opportunities to share research insights through readouts, documentation, and potentially internal workshops, fostering a collective understanding of user needs across the organization.

• Agile and Iterative Approach: Collaboration likely follows agile principles, involving iterative design and validation cycles to quickly adapt to user feedback and evolving business needs.

📝 Enhancement Note: The values and collaboration style described are highly conducive to operations professionals. The emphasis on data, efficiency, and cross-functional partnership aligns perfectly with the goals of Revenue Operations, Sales Operations, and GTM roles. This suggests an environment where operational improvements are valued and research plays a key role in driving them.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Complex Enterprise Environments: Understanding and researching intricate internal workflows, legacy systems, and diverse user needs within a large enterprise can be challenging. The "employee experience portfolio" for IT and Operations presents a complex ecosystem.

• Translating Ambiguity into Action: Moving from ambiguous business questions or emerging AI concepts to well-defined research plans and actionable insights requires strong analytical and problem-solving skills.

• Driving Adoption of Research Insights: Influencing stakeholders and ensuring that research findings translate into concrete changes in tooling, processes, or product development can be a significant hurdle.

• Keeping Pace with AI Advancements: Researching the adoption, trust, and impact of rapidly evolving AI technologies requires continuous learning and adaptation of research methodologies.

Learning & Development Opportunities:

• Deep Dive into AI/ML Research: Gain specialized experience in researching the user impact, adoption challenges, and ethical considerations of AI-enabled tools and features.

• Strategic Framework Mastery: Become an expert in applying and evolving the Jobs-to-Be-Done framework, contributing to strategic planning and tool evaluation processes at a higher level.

• Enterprise Operations Insight: Develop a deep understanding of IT and Operations functions, their tooling, and their critical workflows, which is invaluable for a career in operations strategy.

• Mentorship and Knowledge Sharing: Benefit from mentorship from senior colleagues and contribute to the growth of junior researchers, honing leadership and communication skills.

• Industry Exposure: Work with leading brands and on modern technologies, potentially attending industry conferences or workshops to stay abreast of UX research and AI trends.

📝 Enhancement Note: The challenges presented are common in roles focused on operational improvement and internal tool optimization. The growth opportunities are significant, particularly in the specialized areas of AI research and strategic framework application, which are highly relevant for advancing within operations leadership.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you independently scoped and executed a complex mixed-method research study. What was the outcome?" (Focus on your process, challenges, and the impact of your findings.)

• "How have you used or evolved a Jobs-to-Be-Done framework in your previous roles? Provide a specific example of how it informed a product or operational decision." (Highlight your strategic thinking and framework application.)

• "Imagine we are considering a new AI-powered self-service tool for our IT department. How would you approach researching its potential adoption, user trust, and impact on existing workflows?" (Demonstrate your research planning skills for AI and enterprise contexts.)

• "Walk me through a research project where you had to translate complex findings into clear, decision-ready recommendations for non-research stakeholders." (Emphasize your synthesis and communication abilities.) Company & Culture Questions:

• "What interests you about AgileEngine and this specific role focused on employee experience within IT and Operations?" (Research AgileEngine's mission, values, and recent projects. Connect your skills to the role's objectives.)

• "How do you approach collaborating with product, engineering, and operational teams to ensure your research insights are understood and acted upon?" (Provide examples of successful cross-functional collaboration.)

• "Describe your experience working in a remote, flexible environment. How do you ensure productivity and maintain team connections?" (Highlight your self-management and communication skills.)

• "How do you stay current with advancements in UX research methodologies and emerging technologies like AI?" (Show your commitment to continuous learning.) Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, clearly define the problem, your role, the research methods used, key insights, recommendations, and the ultimate impact.

• Quantify Impact: Whenever possible, use metrics to demonstrate the value of your research (e.g., improved adoption rates, reduced support tickets, time savings).

• Highlight JTBD and Enterprise Context: Explicitly discuss how your work relates to JTBD and how you addressed the unique challenges of enterprise tooling and employee experience.

• Be Prepared for Deep Dives: Anticipate detailed questions about your methodology, participant selection, data analysis, and decision-making process.

• Engage Your Audience: Present with enthusiasm and clarity. Be ready to discuss trade-offs and alternative approaches you considered.

📝 Enhancement Note: Interview preparation for this role should focus on demonstrating not just UX research expertise, but also a strategic understanding of how research drives operational efficiency and informs enterprise tooling decisions. Highlighting experience with internal systems, AI, and frameworks like JTBD will be critical.

📌 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 keywords and experiences directly related to UX research, mixed-methodologies, Jobs-to-Be-Done frameworks, enterprise tooling, employee experience, and AI research. Quantify achievements where possible.

• Curate Your Portfolio: Select 2-3 strong case studies that best showcase your ability to independently scope, execute, and synthesize research, particularly in enterprise contexts. Ensure clear articulation of impact and JTBD application. Prepare to present these effectively.

• Prepare for Behavioral and Situational Questions: Practice answering questions about your research process, stakeholder management, remote work effectiveness, and how you handle ambiguity and drive change.

• Research AgileEngine: Understand the company's mission, values, and recent work, especially in AI and software development, to demonstrate genuine interest and cultural alignment during interviews.

⚠️ 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.