Senior UX Researcher ID84743

📍 Job Overview

Job Title: Senior UX Researcher ID84743

Company: AgileEngine

Location: Mar del Plata, Buenos Aires, Argentina

Job Type: Full time

Category: User Experience Research / Operations Insights

Date Posted: 2026-08-25

Experience Level: Senior (5+ years)

Remote Status: Fully Remote

🚀 Role Summary

• Provide continuous, hands-on UX research support for an IT and Operations employee experience portfolio.

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

• Surface actionable insights to inform enterprise tooling decisions, focusing on optimizing workflows and user adoption.

• Maintain and extend a robust jobs-to-be-done (JTBD) framework across multiple initiatives, connecting new tool evaluations to an endorsed tool suite.

• Synthesize complex research findings into decision-ready recommendations and clear stakeholder readouts, driving strategic product and operational improvements.

📝 Enhancement Note: This role is positioned within an IT and Operations employee experience portfolio, indicating a strong focus on internal tooling and operational efficiency rather than external customer-facing products. The emphasis on "enterprise tooling decisions," "operational teams," and "employee experience" suggests the ideal candidate will have a deep understanding of internal business processes and the challenges faced by employees using complex software. The "Senior" title and emphasis on independent scoping and execution point to a highly autonomous role requiring significant strategic thinking and problem-solving capabilities.

📈 Primary Responsibilities

• Plan and execute mixed-method (qualitative and quantitative) research studies for priority IT & Operations initiatives, independently managing the research lifecycle from ambiguous questions to actionable recommendations.

• Design and moderate research sessions focused on evaluating AI-enabled self-service experiences and identifying opportunities to enhance IT support interactions.

• Conduct user testing on AI Skills concepts to pinpoint user needs, potential adoption barriers, and the necessary trust or validation mechanisms prior to broader implementation.

• Synthesize research findings into comprehensive reports, research artifacts, and concise stakeholder readouts that clearly articulate implications and recommended next steps for product and operational teams.

• Develop, maintain, and evolve the jobs-to-be-done (JTBD) framework to accurately represent user jobs across the organization, ensuring updated JTBD artifacts align with the endorsed tool suite for new evaluations.

• Produce detailed research plans, participant recruitment strategies, and study materials for various priority initiatives, ensuring methodological rigor.

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

• Collaborate closely with product management, service delivery, and operational teams to validate tooling decisions and ensure successful adoption before scaling across the enterprise.

📝 Enhancement Note: The responsibilities highlight a critical need for strategic research leadership. The candidate must not only execute research but also define the research agenda, manage complex stakeholder relationships, and directly influence enterprise-level tooling and AI adoption strategies. The emphasis on "decision-ready recommendations" and "partnering with product, service, and operational teams to validate tooling decisions before they scale" underscores the impact this role has on operational efficiency and employee productivity.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a Bachelor's or Master's degree in Human-Computer Interaction, Psychology, Sociology, Anthropology, Information Science, or a related field is highly beneficial, providing a strong foundation in research methodologies and user behavior analysis.

Experience: Minimum of 5+ years of hands-on UX research experience at a senior individual-contributor level, with a proven track record of independently scoping, executing, and synthesizing research studies.

Required Skills:

• UX Research Expertise: 5+ years of hands-on experience in UX research, demonstrating mastery in independent study design and execution.

• Mixed-Method Research: Strong proficiency in selecting, executing, and analyzing both qualitative and quantitative research methodologies.

• Enterprise Tooling Research: Proven experience researching complex enterprise internal tools, employee experience platforms, or intricate cross-functional workflows.

• Strategic Framework Application: Demonstrated experience in developing and applying a jobs-to-be-done (JTBD) or similar strategic research framework across multiple initiatives, and translating it into concrete product and operational decisions.

• Insight Synthesis & Communication: Ability to translate complex research findings into clear, actionable, and decision-ready recommendations for product and operational stakeholders.

• Stakeholder Management: Collaborative and effective stakeholder management skills across product, design, engineering, operations, and service teams.

• Communication Proficiency: Excellent written and verbal communication skills, with a strong ability for concise research readouts and executive-ready storytelling.

• Research Platform Proficiency: Familiarity with common research platforms for participant recruitment, moderated and unmoderated studies, surveys, and data synthesis.

• Workflow Understanding: Experience working within enterprise product, service, and operational workflows.

• Documentation & Collaboration: Comfort using collaboration and documentation systems (e.g., Confluence, Notion, research repositories) to maintain traceable research artifacts, findings, and decisions.

• English Proficiency: Upper-intermediate English level for effective communication in a global team environment.

Preferred Skills:

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

• Employee Experience Focus: Experience with employee experience initiatives, IT service management (ITSM), self-service support portals, or digital workplace tools.

• Framework Evolution: Experience applying or evolving a jobs-to-be-done framework across diverse product or service areas.

• Impactful Research Track Record: A history of delivering research that has demonstrably influenced enterprise tooling, AI adoption, or service experience decisions.

• Strategic Alignment: Ability to connect individual research studies to a cohesive, ongoing strategic framework.

• Actionable Output: Proven ability to translate complex findings into practical actions that improve self-service, reduce user confusion, or streamline workflows.

• End-to-End Research: Experience partnering through product launch and post-launch measurement, not solely delivering initial studies.

📝 Enhancement Note: The "Must Haves" clearly indicate a need for a seasoned researcher capable of operating with a high degree of autonomy. The emphasis on JTBD, enterprise tools, and operational workflows suggests the company values a strategic, process-oriented approach to research. The preferred skills around AI and employee experience further refine the ideal candidate profile towards someone who can tackle complex, modern challenges within an enterprise setting.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Case Studies on Process Optimization: Showcase 2-3 detailed case studies demonstrating your ability to identify inefficiencies in enterprise workflows or user experiences and implement research-driven solutions.

• Demonstrated JTBD Framework Application: Include specific examples or a dedicated section illustrating how you have developed, maintained, or applied a jobs-to-be-done (JTBD) or similar strategic framework to guide product or operational decisions.

• Mixed-Method Research Examples: Present examples of studies that effectively combine qualitative and quantitative methods, clearly articulating the rationale for the chosen mix and how it led to richer insights.

• Impact & ROI Documentation: For each case study, clearly quantify the impact of your research on business outcomes, such as improved user adoption, increased efficiency, reduced support tickets, or better tooling decisions, demonstrating ROI.

Process Documentation:

• Research Plan & Methodology: Provide examples of well-structured research plans, detailing objectives, research questions, methodology, participant criteria, and timelines.

• Synthesis & Reporting Artifacts: Showcase examples of research synthesis artifacts (e.g., affinity maps, journey maps, thematic analyses) and concise, decision-ready stakeholder readouts or executive summaries.

• Tool Validation Documentation: Illustrate how you have partnered with operational teams to validate new tools or systems, potentially including user feedback reports or testing protocols.

📝 Enhancement Note: For a Senior UX Researcher role focused on enterprise tooling and operational efficiency, a portfolio is crucial. It needs to go beyond just showcasing research projects; it must demonstrate strategic thinking, process ownership (especially JTBD), and the ability to translate research into tangible business impact within an enterprise context. The emphasis on "decision-ready recommendations" and "validating tooling before broader rollout" means the portfolio should highlight how the candidate influences decisions and supports the implementation lifecycle.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for Senior UX Researchers in Argentina with 5+ years of experience, and considering the remote nature of the role, a competitive annual salary range is estimated between ARS 15,000,000 and ARS 25,000,000. This estimate accounts for the senior level, specialized skills in enterprise UX and JTBD, and the demand for remote talent in the Argentine market.

Benefits:

• Professional Growth: Access to a dedicated annual learning budget for courses, conferences, and certifications, alongside mentorship and internal TechTalks to foster skill development.

• Performance-Based Compensation: Competitive salary that reflects individual skills and impact, with regular performance and compensation reviews ensuring recognition.

• Remote Work Flexibility: A 100% remote work environment with flexible hours designed to support focus, autonomy, and a sustainable work-life rhythm.

• Modern Project Exposure: Opportunity to work on impactful projects using modern technologies for leading global brands.

• Collaborative Work Environment: Join a supportive, people-focused culture that encourages idea sharing, welcomes contributions, and operates with a philosophy of zero micromanagement.

• Local Well-being Support: Access to region-specific well-being programs and people-focused support tailored to the employee's location.

Working Hours: The role requires approximately 40 hours per week, with a strong emphasis on flexibility to support autonomy and work-life balance. This allows for adaptable scheduling to accommodate research needs and personal commitments.

📝 Enhancement Note: Salary estimation for this role in Argentina requires careful consideration of the local economic landscape, the demand for specialized UX research skills, and the premium often placed on fully remote positions. The provided range is a benchmark and should be confirmed with the company. The benefits package emphasizes professional development, autonomy, and well-being, which are key attractors for senior talent in the tech industry.

🎯 Team & Company Context

🏢 Company Culture

Industry: AgileEngine operates within the Software Development and IT Services industry, specializing in creating award-winning software solutions for Fortune 500 brands and startups. Their expertise spans application development, AI/ML, and digital transformation, positioning them at the forefront of technological innovation.

Company Size: AgileEngine is an Inc. 5000 company, indicating significant growth and a substantial employee base, likely ranging from 250 to over 1,000 employees. This size offers the benefits of a well-established organization with structured processes while retaining agility and opportunities for individual impact.

Founded: Founded with a vision to build impactful software, AgileEngine has a history of growth and recognition, evidenced by its Inc. 5000 ranking and multiple "Best Place to Work" awards. This suggests a culture that values employee well-being, professional development, and high-quality work.

Team Structure:

• The UX Research team likely consists of experienced researchers who operate with a high degree of autonomy, supporting various product and operational initiatives across the company.

• This Senior UX Researcher will likely report into a Research Lead or a Director of Product/Design, with a dotted line to operational stakeholders.

• Cross-functional collaboration is paramount, with close partnerships expected with Product Managers, Designers, Engineers, Service Delivery Managers, and Operations Leads to ensure research insights are integrated into tooling and process decisions. Methodology:

• Data-Driven Decision Making: Emphasis on leveraging research data and user insights to inform strategic decisions for product development and operational improvements.

• Agile Research Practices: Likely employs agile methodologies within research to ensure timely delivery of insights that can be acted upon quickly by development and operational teams.

• Continuous Improvement: A culture that encourages ongoing learning, iteration, and refinement of both products and internal processes based on user feedback and performance metrics.

Company Website: https://agileengine.com/

📝 Enhancement Note: AgileEngine's description as an Inc. 5000 company and recipient of "Best Place to Work" awards suggests a dynamic, growth-oriented environment that also prioritizes its employees. The focus on "award-winning software" and "Fortune 500 brands" implies a commitment to high standards and impactful work. For a UX Researcher, this means working on significant projects with tangible business outcomes, particularly within the internal IT and Operations domain.

📈 Career & Growth Analysis

Operations Career Level: This role is at a Senior Individual Contributor (IC) level, signifying a high degree of expertise and autonomy. The Senior UX Researcher is expected to lead research initiatives, mentor junior team members (if applicable), and significantly influence strategic decisions within the IT and Operations domains. The scope of work involves complex, multi-initiative projects that require strategic foresight and independent problem-solving.

Reporting Structure: The Senior UX Researcher will likely report to a UX Research Manager, Director of Product, or a Head of Operations/Service Delivery, depending on the organizational structure. They will collaborate closely with Product Managers, Designers, Engineering Leads, and key stakeholders in IT and Operations departments.

Operations Impact: The role has a direct impact on the efficiency, productivity, and overall employee experience within AgileEngine's IT and Operations functions. By evaluating and validating enterprise tooling and AI-enabled self-service experiences, the researcher helps streamline workflows, reduce friction, improve user adoption, and ultimately contribute to operational cost savings and enhanced employee satisfaction. The application of the JTBD framework ensures that tooling decisions are aligned with core user needs, maximizing their strategic value.

Growth Opportunities:

• Specialization in Enterprise UX & AI: Deepen expertise in researching complex enterprise systems, internal tooling, and the nuances of AI adoption within corporate environments.

• Strategic Leadership: Progress to leading research strategy for larger portfolios, mentoring junior researchers, or transitioning into a management role.

• Cross-Functional Influence: Develop stronger capabilities in influencing product roadmaps and operational strategies through compelling research insights and stakeholder management.

• Industry Expertise Development: Gain exposure to a variety of industries through AgileEngine's client work, potentially leading to specialized knowledge in specific sectors or technology domains.

• Learning & Development: Leverage the dedicated annual learning budget for advanced training in specialized research methodologies, AI ethics, or enterprise system design.

📝 Enhancement Note: The career path for a Senior UX Researcher at a company like AgileEngine is typically one of increasing strategic influence and specialization. The focus on internal operations and enterprise tooling offers a unique opportunity to become an expert in a critical, often underserved, area of user experience. Growth is likely to come from taking on more complex challenges, leading research initiatives, and demonstrating consistent impact on business objectives.

🌐 Work Environment

Office Type: AgileEngine offers a fully remote work environment. This means employees work from their own home offices or chosen remote locations, eliminating the need for a physical office presence.

Office Location(s): While the company operates globally and hires remotely, the specific mention of "Mar del Plata, Buenos Aires, Argentina" as a derived location suggests that while the role is remote, there might be a concentration of employees or a need for the candidate to reside within a specific region for legal or operational reasons. However, the overall work arrangement is "100% remotely."

Workspace Context:

• Autonomy and Flexibility: The remote setup fosters a high degree of autonomy, allowing employees to structure their workday in a way that maximizes productivity and work-life balance.

• Technology-Enabled Collaboration: Success in this remote environment relies heavily on digital collaboration tools (e.g., Slack, Zoom, Jira, Confluence) for communication, project management, and knowledge sharing.

• Focus on Output: The emphasis is on delivering high-quality work and impactful insights, rather than on physical presence or traditional office interactions.

• Global Team Interaction: Remote work facilitates interaction with a diverse, global team, offering exposure to different perspectives and working styles.

Work Schedule: The role involves approximately 40 working hours per week. The "flexible hours" benefit indicates that while the total hours are standard, the specific timing is adaptable, allowing employees to manage their schedules effectively, particularly important for coordinating with global teams and managing personal commitments.

📝 Enhancement Note: The fully remote nature of this role is a significant aspect of the work environment. It implies a reliance on digital communication and collaboration tools and a culture that trusts employees to manage their time and deliverables effectively. For a UX Researcher, this means mastering remote research methodologies and ensuring effective communication across distributed teams.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will likely conduct an initial call to assess basic qualifications, experience, and cultural fit, focusing on your background in UX research and enterprise tooling.

• Technical/Portfolio Review: Expect a deep dive into your portfolio. This stage will involve presenting 1-2 key projects, detailing your research process, methodologies, findings, and the impact of your work. Be prepared to discuss your JTBD framework application and how you've influenced operational decisions.

• Hiring Manager Interview: A more in-depth discussion with the hiring manager focusing on your strategic thinking, problem-solving abilities, stakeholder management skills, and how you approach complex research challenges.

• Team/Cross-Functional Interviews: You may meet with potential peers or stakeholders from product, design, or operations teams to assess your collaborative style and ability to integrate into their workflows.

• Final Round: Potentially a final interview with a senior leader to confirm overall fit and strategic alignment.

Portfolio Review Tips:

• Structure for Impact: Organize your portfolio around key projects that clearly demonstrate your end-to-end research process, from problem definition to actionable recommendations and impact.

• Highlight JTBD: Dedicate a section or clearly label projects where you applied or evolved a Jobs-to-be-Done framework. Explain your process and the resulting strategic shifts.

• Quantify Outcomes: For each case study, clearly articulate the business impact of your research. Use metrics where possible (e.g., "reduced support tickets by X%", "increased adoption of tool Y by Z%", "informed decision leading to X cost savings").

• Showcase Enterprise Context: Emphasize projects involving internal tools, employee experience, or complex operational workflows. Explain the unique challenges and how you navigated them.

• Prepare for "How": Be ready to articulate the "why" behind your methodological choices and how you adapted your approach based on project constraints or stakeholder needs.

• Concise Storytelling: Practice presenting your projects concisely, focusing on the problem, your approach, key insights, and the tangible impact.

Challenge Preparation:

• Scenario-Based Questions: Prepare for questions that present hypothetical research scenarios within an enterprise tooling or AI adoption context. Focus on how you would scope, plan, and execute research to address them.

• JTBD Application Scenarios: Be ready to discuss how you would apply or extend the JTBD framework to a new product area or operational challenge.

• Stakeholder Management Scenarios: Anticipate questions about how you would handle conflicting stakeholder priorities, communicate challenging findings, or gain buy-in for research recommendations.

• AI Research Considerations: Think about the unique challenges of researching AI-enabled features, such as user trust, bias, and the explainability of AI outputs.

📝 Enhancement Note: The interview process for a Senior UX Researcher role, especially one focused on enterprise operations, will heavily scrutinize your ability to operate independently, think strategically, and drive tangible business outcomes. The portfolio is your primary tool to showcase this, so ensure it's meticulously curated to highlight your expertise in JTBD, mixed-methods, and enterprise contexts.

🛠 Tools & Technology Stack

Primary Tools:

• Research Platforms: Proficiency with platforms for recruitment (e.g., UserTesting.com, Respondent.io), moderated/unmoderated studies (e.g., UserTesting, Lookback, Maze), and survey creation (e.g., Qualtrics, SurveyMonkey, Google Forms).

• Collaboration & Documentation: Experience with tools like Confluence, Notion, Miro, or similar platforms for documenting research plans, findings, artifacts, and maintaining a traceable research repository.

• Synthesis & Analysis Tools: Familiarity with qualitative data analysis software (e.g., Dovetail, NVivo) and quantitative analysis tools (e.g., Excel, SPSS, R, Python for basic analysis) or advanced survey analytics.

Analytics & Reporting:

• Data Visualization: Ability to use tools like Tableau, Power BI, or even advanced Excel/Google Sheets features to create clear visualizations for stakeholder readouts.

• Survey Analytics: Proficiency in analyzing survey data to extract meaningful quantitative insights.

CRM & Automation:

• Internal Tooling Context: While not directly managing CRM/automation systems, understanding how UX research impacts the adoption and effectiveness of enterprise CRM, ITSM, or automation platforms is key. Familiarity with common enterprise system functionalities is beneficial.

• Integration Tooling: Awareness of how different enterprise systems integrate and how UX research can inform the usability of these integrated workflows.

📝 Enhancement Note: The job description explicitly mentions "Proficiency with common research platforms for recruitment, moderated and unmoderated studies, surveys, and synthesis," and "Working knowledge of research repositories and documentation tools." This indicates a practical need for hands-on experience with standard UX research tooling. The emphasis on enterprise workflows suggests that familiarity with the types of tools used in large organizations (even if not direct hands-on experience) is valuable for understanding the context of the research.

👥 Team Culture & Values

Operations Values:

• Data-Driven Approach: A strong emphasis on using research data and user insights to inform all decisions related to IT and Operations tooling and processes, ensuring objectivity and measurable outcomes.

• Efficiency & Optimization: A core value centered around improving operational workflows, streamlining processes, and enhancing employee productivity through user-centered design and research.

• Collaboration & Partnership: Fostering a collaborative environment where researchers work closely with product, service, and operational teams, treating them as key partners in the research and implementation lifecycle.

• Impact & Accountability: A focus on delivering research that has a tangible impact on the business, with researchers held accountable for translating findings into actionable recommendations and supporting their implementation.

• Continuous Learning & Adaptation: Encouraging a culture of ongoing skill development, staying abreast of emerging research methodologies, AI advancements, and enterprise technology trends.

Collaboration Style:

• Cross-Functional Integration: Researchers are expected to be deeply integrated with product, design, engineering, and operational teams, acting as a bridge between user needs and business objectives.

• Proactive Communication: A style that emphasizes proactive communication, transparent sharing of research plans and findings, and seeking feedback early and often.

• Iterative Feedback Loops: Embracing an iterative approach to research and design, with regular feedback sessions and collaborative working groups to refine solutions.

• Knowledge Sharing: Encouraging the sharing of research insights, best practices, and learnings across teams to build collective understanding and expertise within the organization.

📝 Enhancement Note: The company culture at AgileEngine, as described by its "people-first" approach and "Best Place to Work" awards, combined with the role's focus on internal operations, suggests a culture that values both individual contribution and collaborative problem-solving. The operations values are likely to be highly practical, focused on efficiency, data, and tangible results, while the collaboration style will be key to navigating complex enterprise environments.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Complex Enterprise Environments: Understanding and researching intricate, often legacy, enterprise systems and cross-functional workflows can be challenging due to their complexity and interdependencies. Mitigation involves deep stakeholder engagement and a phased research approach.

• Measuring Impact of Internal Tools: Quantifying the ROI and direct impact of research on internal tooling can be more abstract than with external products. This requires strong analytical skills and close partnership with operations to track key performance indicators (KPIs).

• Adoption of AI Technologies: Researching AI-enabled features presents unique challenges related to user trust, transparency, ethical considerations, and managing user expectations. Success hinges on understanding human-AI interaction dynamics.

• Balancing Strategic Frameworks with Project Demands: Effectively maintaining and evolving a strategic framework like JTBD while concurrently managing multiple, time-sensitive project research needs requires strong prioritization and organizational skills.

Learning & Development Opportunities:

• Deep Dive into Enterprise UX: Specialize in the unique challenges and best practices of User Experience Research within large enterprise environments, focusing on internal tools and employee productivity.

• AI/ML Research Specialization: Develop expertise in researching cutting-edge AI applications, understanding user adoption patterns, trust factors, and the ethical implications of AI in the workplace.

• Strategic Framework Leadership: Grow into a role that defines and evangelizes strategic research frameworks like JTBD across the organization, influencing product strategy at a higher level.

• Cross-Functional Leadership: Enhance skills in leading cross-functional initiatives, influencing product roadmaps, and driving operational improvements through research advocacy.

• Mentorship and Skill Development: Benefit from AgileEngine's commitment to growth through mentorship programs, internal knowledge-sharing sessions, and a dedicated budget for external learning opportunities.

📝 Enhancement Note: The challenges listed are typical for a senior role focused on internal operations and emerging technologies like AI. They present opportunities for significant professional growth and the development of specialized expertise that is highly valued in the market.

💡 Interview Preparation

Strategy Questions:

• JTBD Application: "Describe a time you developed or significantly evolved a Jobs-to-be-Done framework. How did you ensure it was adopted and used to inform product or operational decisions? What challenges did you face?" (Preparation: Have a specific example ready, detailing your process, the framework's components, how you socialized it, and its impact.)

• Enterprise Tooling Research: "Walk us through a complex research project you conducted on an enterprise internal tool or an employee experience initiative. What were the key challenges, your methodology, and the most impactful insights you uncovered?" (Preparation: Focus on the complexity of the system, your end-to-end process, and how your research directly influenced tooling or operational changes.)

• AI Research Experience: "Tell us about your experience researching AI-enabled features or automation. What unique considerations did you have regarding user trust, adoption, or validation?" (Preparation: Highlight any relevant projects, focusing on the specific challenges of AI research and how you addressed them.)

Company & Culture Questions:

• Impact on Operations: "How would you approach researching the employee experience for our IT and Operations teams to identify opportunities for improvement in their tooling and self-service capabilities?" (Preparation: Frame your answer around your JTBD approach, mixed-methods, and collaboration with operational stakeholders.)

• AgileEngine's Values: "AgileEngine emphasizes a 'people-first' culture and 'growth without limits.' How do you see your role as a Senior UX Researcher contributing to these values, particularly within an internal operations context?" (Preparation: Connect your research approach to employee well-being, efficiency, and continuous learning.)

• Collaboration Style: "How do you typically collaborate with Product Managers, Designers, and Operational teams when conducting research and presenting findings? How do you handle differing opinions or priorities?" (Preparation: Emphasize your proactive communication, stakeholder management skills, and ability to build consensus.)

Portfolio Presentation Strategy:

• Narrative Arc: Structure your portfolio presentations with a clear narrative: problem/opportunity, your research approach (methodology, JTBD), key insights, recommendations, and measurable impact.

• Visual Storytelling: Use visuals (screenshots, diagrams, key quotes) to illustrate your process and findings. Avoid overwhelming slides with text.

• Quantify Impact: For each project, clearly state the business outcome or impact. Use metrics if available. If not, explain the qualitative impact and how it influenced decisions.

• Focus on Autonomy & Strategy: Highlight instances where you independently scoped projects, drove strategic decisions, or applied frameworks like JTBD to shape product direction.

• Prepare for Deep Dives: Be ready to answer detailed questions about your methodology, participant selection, data analysis, and how you translated raw data into actionable insights.

📝 Enhancement Note: The interview questions will likely probe your ability to apply research methodologies strategically within an enterprise operations context, with a particular focus on your experience with JTBD frameworks and your capacity to drive impactful change through your research. Your portfolio presentation is your primary opportunity to demonstrate this.

📌 Application Steps

To apply for this operations position:

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

• Customize Your Resume: Tailor your resume to highlight keywords and responsibilities mentioned in the job description, such as "UX Research," "mixed-method research," "Jobs-to-be-Done (JTBD)," "enterprise tooling," "employee experience," and "stakeholder management." Emphasize achievements with quantifiable results where possible.

• Curate Your Portfolio: Select 2-3 of your strongest UX research projects that best showcase your experience with enterprise internal tools, JTBD frameworks, and mixed-method research. Ensure each project clearly articulates the problem, your process, key insights, and demonstrable impact.

• Prepare Your Presentation: Practice presenting your portfolio projects concisely and effectively, focusing on your strategic approach, research methodologies, and the business outcomes achieved. Be ready to discuss how you would tackle challenges related to AI-enabled self-service and enterprise tooling.

• Research AgileEngine: Familiarize yourself with AgileEngine's work, their client base, and their stated company culture (e.g., "people-first," "growth without limits"). Understand their position in the IT and software development industry.

⚠️ 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.