Senior UX Researcher ID84743

AgileEngine
Full-timeSiuna, Nicaragua

📍 Job Overview

Job Title: Senior UX Researcher

Company: AgileEngine

Location: Belo Horizonte, Minas Gerais, Brazil

Job Type: Full time

Category: User Experience Research / Operations Research

Date Posted: 2026-08-25

Experience Level: Senior

Remote Status: Fully Remote

🚀 Role Summary

  • Drive impactful UX research initiatives focused on IT and Operations employee experience portfolios, ensuring continuity and deep understanding.

  • Independently scope, plan, and execute mixed-method research studies, leveraging both qualitative and quantitative approaches to uncover actionable insights.

  • Evaluate AI-enabled self-service experiences and test AI skill concepts to inform enterprise tooling decisions and adoption strategies.

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

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

  • Collaborate closely with product, service, and operational teams to validate tooling and drive informed product development before broader rollout.

📝 Enhancement Note: This role is positioned as a Senior Individual Contributor with a strong emphasis on independent research execution and strategic application of findings. The focus on "IT and Operations employee experience" indicates a need for understanding complex internal enterprise environments and how technology impacts productivity, efficiency, and user satisfaction within these critical functions. The mention of AI-enabled self-service and AI skills suggests a forward-looking approach to user support and internal tool adoption.

📈 Primary Responsibilities

  • Independently plan and conduct mixed-method (qualitative and quantitative) research studies across priority IT and Operations initiatives, managing the entire research lifecycle from ambiguous questions to actionable recommendations.

  • Design and moderate research sessions to evaluate AI-enabled self-service experiences, aiming to enhance user adoption and satisfaction.

  • Conduct targeted research to test AI Skill concepts, identifying key jobs-to-be-done, potential adoption barriers, and user trust/validation needs.

  • Synthesize research findings into concise reports, compelling presentations, and actionable recommendations, clearly articulating implications and proposed next steps for product and operational stakeholders.

  • Develop, maintain, and extend the Jobs-to-be-Done (JTBD) framework, ensuring it accurately reflects current jobs across the company and linking new tool evaluations to the endorsed tool suite.

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

  • Deliver decision-ready findings and recommendations that directly influence strategies for AI-enabled self-service, AI skills, collaboration tools, and broader business process improvements.

  • Act as a key research partner with product, service, and operational teams, validating tooling decisions and ensuring user needs are met before scaling solutions.

📝 Enhancement Note: The responsibilities highlight a strong emphasis on autonomous research execution and strategic impact. The role requires not just conducting research but also framing it within a strategic context (JTBD) and ensuring it directly informs enterprise tooling and operational decisions. The partnership with various operational teams underscores the need for strong interpersonal and communication skills to influence decision-making.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Human-Computer Interaction (HCI), Psychology, Sociology, Anthropology, Information Science, or a related field is typically expected for Senior UX Researcher roles.

Experience: 5+ years of hands-on UX research experience at a senior individual-contributor level, demonstrating the ability to independently scope, execute, and synthesize studies. Experience researching enterprise internal tools, employee experience, or complex cross-functional workflows is crucial.

Required Skills:

  • Senior-Level UX Research Expertise: 5+ years of demonstrated hands-on experience in conducting UX research independently.

  • Mixed-Method Research Proficiency: Strong skills in selecting, executing, and analyzing both qualitative (e.g., interviews, usability testing, ethnography) and quantitative (e.g., surveys, analytics, A/B testing) research methods.

  • Enterprise Context Understanding: Proven experience researching complex internal tools, employee experience, or intricate cross-functional workflows within large organizations.

  • Strategic Framework Application: Demonstrated experience developing and applying a Jobs-to-be-Done (JTBD) or comparable strategic research framework across multiple initiatives, and translating insights into concrete product and operational decisions.

  • Actionable Insight Generation: Ability to translate research findings into clear, decision-ready recommendations for product and operational stakeholders.

  • Stakeholder Collaboration & Communication: Collaborative stakeholder management skills across product, design, engineering, operations, and service teams. Excellent written and verbal communication, including concise research readouts and executive-ready storytelling.

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

  • Process & Documentation Acumen: Experience working within enterprise product, service, and operational workflows. Comfort using collaboration and documentation systems to maintain traceable research artifacts, findings, and decisions.

  • English Fluency: 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/IT Support Focus: Experience with employee experience initiatives, IT service management, self-service support, or digital workplace tools.

  • Framework Evolution: Experience applying or evolving a Jobs-to-be-Done framework across multiple product or service areas.

  • Impactful Research Track Record: Proven track record of shipping research that directly influenced enterprise tooling, AI adoption, or service experience decisions.

  • Strategic Synthesis: Ability to connect individual research studies to an ongoing strategic framework and demonstrate long-term impact.

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

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

📝 Enhancement Note: The "Must Haves" clearly define a seasoned UX researcher capable of operating autonomously within a complex enterprise setting. The emphasis on JTBD and translating research into "decision-ready recommendations" points to a strategic, business-oriented approach. The preferred skills highlight a desire for candidates with experience in AI and employee support contexts, indicating the company's strategic direction.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

  • Case Studies of Independent Research: Showcase at least 2-3 detailed case studies demonstrating your ability to independently scope, plan, execute, and synthesize mixed-method UX research projects from start to finish.

  • Demonstration of Strategic Framework Application: Include examples where you have applied a Jobs-to-be-Done (JTBD) or similar strategic framework to guide research and influence product/operational decisions. Clearly articulate the framework's evolution and impact.

  • Evidence of Enterprise Tooling/Employee Experience Research: Highlight projects specifically focused on internal enterprise tools, employee workflows, or complex cross-functional processes, detailing the challenges and insights derived.

  • Quantifiable Impact & Recommendations: For each case study, clearly articulate the research outcomes, the specific recommendations made, and, where possible, the impact those recommendations had on product development, tooling decisions, or operational efficiency.

  • Documentation & Collaboration Examples: Showcase how you document research findings, create stakeholder readouts, and collaborate with cross-functional teams (product, engineering, operations). This could include examples of research repositories or shared documentation.

Process Documentation:

  • Research Planning & Execution Documentation: Detail your process for creating research plans, defining participant recruitment strategies, and developing study materials for both qualitative and quantitative studies.

  • Synthesis & Reporting Workflow: Illustrate your approach to synthesizing complex data from multiple sources, identifying key themes, and translating them into clear, concise, and actionable recommendations for diverse audiences.

  • JTBD Framework Management: Provide examples of how you have maintained, extended, or applied a JTBD framework, including how you connect new tool evaluations to an endorsed tool suite and track adoption.

📝 Enhancement Note: For a Senior UX Researcher role, especially one focused on internal enterprise tools and strategic frameworks like JTBD, a portfolio is critical. It needs to demonstrate not just research execution but strategic thinking, impact, and the ability to operate autonomously within a complex organizational structure. The emphasis should be on how research directly influenced business outcomes and operational efficiency.

💵 Compensation & Benefits

Salary Range:

Given the senior level, the location (Belo Horizonte, Brazil), and the fully remote nature, a competitive salary range would likely fall between R$ 15,000 to R$ 25,000 per month (Brazilian Reais). This estimate is based on industry benchmarks for senior UX researchers in major Brazilian tech hubs, adjusted for remote work opportunities and the specific demands of enterprise and AI research.

Benefits:

  • Growth without limits:

    • Mentorship programs for skill development and career guidance.
    • Internal TechTalks and knowledge-sharing sessions.
    • Exposure to challenging, impactful projects.
    • Dedicated annual learning budget for courses, conferences, and certifications.
  • Competitive compensation:

    • Recognition reflecting skills and impact.
    • Regular performance and compensation reviews.
  • Flexibility:

    • 100% remote work arrangement.
    • Flexible hours to support autonomy and work-life balance.
  • Meaningful, modern projects:

    • Opportunity to build impactful products using modern technologies.
    • Collaboration with global teams and leading brands.
  • Collaborative culture:

    • Supportive environment with a focus on autonomy and idea contribution.
    • Recognition for contributions and innovative ideas.
  • Well-being & support:

    • Access to local well-being programs tailored to the employee's location.

    • People-focused support systems. Working Hours: The role specifies flexible hours, but typically this implies a standard 40-hour work week commitment. The flexibility allows for greater autonomy in scheduling work blocks, accommodating different time zones for global collaboration, and optimizing personal productivity.

📝 Enhancement Note: The salary range is an estimate based on typical compensation for senior-level technical roles in Brazil, particularly in tech and R&D. The provided benefits are directly extracted from the job description and emphasize professional development, flexibility, and a supportive work environment, which are key attractors for senior operations and research professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software Development, IT Services, Technology Consulting. AgileEngine operates within the broader technology sector, specializing in creating custom software solutions for Fortune 500 brands and startups. They are recognized for their expertise in application development and AI/ML, positioning them as a company at the forefront of technological innovation.

Company Size: AgileEngine is an Inc. 5000 company, which typically indicates a significant but still agile and growing organization, likely employing several hundred to a few thousand professionals globally. This size offers the benefits of established processes and resources while maintaining a dynamic, less bureaucratic environment.

Founded: AgileEngine was founded in 2010. This history suggests a company with a proven track record, established processes, and a mature understanding of the software development and consulting landscape, while still maintaining a modern approach to technology and talent management.

Team Structure:

  • Operations Research Focus: The Senior UX Researcher will be part of a team dedicated to understanding and improving the employee experience within IT and Operations. This suggests a specialized function focused on internal tool adoption, process efficiency, and user satisfaction for critical business functions.

  • Cross-Functional Collaboration: The role explicitly requires partnership with product, service, and operational teams. This implies a matrixed or highly collaborative structure where research insights are integrated directly into decision-making processes across different departments.

  • Global Team Dynamics: Given AgileEngine's global presence and remote-first approach, the researcher will likely collaborate with colleagues and stakeholders across various geographies and time zones, fostering a diverse and international work environment.

Methodology:

  • Data-Driven Decision Making: The emphasis on mixed-method research, synthesis of findings, and providing "decision-ready recommendations" points to a strong commitment to data-driven decision-making within the organization.

  • User-Centricity in Internal Tools: The focus on employee experience and AI-enabled self-service indicates a user-centric approach, even for internal-facing products and tools, aiming to optimize productivity and satisfaction.

  • Agile Development Practices: As suggested by the company name "AgileEngine" and their industry, it's highly probable that agile methodologies are employed, fostering iterative development, continuous feedback, and rapid adaptation.

Company Website: https://agileengine.com/

📝 Enhancement Note: The company context emphasizes a blend of technological expertise, a people-first culture, and a focus on impactful projects. For an operations-focused role, understanding the company's approach to internal tools, employee experience, and the integration of AI is crucial. The Inc. 5000 status suggests a company that is well-established but still ambitious and growing.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Senior Individual Contributor. This means the focus is on deep expertise and autonomous execution of research rather than people management. The "Senior" designation implies a high level of autonomy, strategic thinking, and the ability to mentor or guide less experienced researchers. The scope of work is significant, covering entire employee experience portfolios and influencing critical tooling decisions.

Reporting Structure: While not explicitly stated, a Senior UX Researcher typically reports to a UX Research Lead, a Head of Product Design, or potentially a Director of Operations or Product Management, depending on the team's structure. The emphasis on collaboration suggests close working relationships with Product Managers, Service Designers, and Operations Leads.

Operations Impact: The Senior UX Researcher's work will directly impact the efficiency, productivity, and satisfaction of IT and Operations teams. By validating tooling decisions and improving AI-enabled self-service experiences, the role contributes to reduced operational costs, faster problem resolution, and a more positive employee experience, which are critical for overall business performance. The role also influences the adoption of new technologies like AI within the enterprise.

Growth Opportunities:

  • Deep Specialization in Enterprise UX & AI: The role offers the opportunity to become a subject matter expert in researching complex enterprise internal tools, employee experience, and the adoption of AI technologies within an organizational context.

  • Strategic Framework Mastery: Continued development and application of the Jobs-to-be-Done (JTBD) framework, potentially evolving it further and influencing broader company strategy.

  • Cross-Functional Influence & Leadership: Developing strong influencing skills by partnering with diverse stakeholders, potentially leading research initiatives across multiple product lines or departments.

  • Mentorship & Knowledge Sharing: Opportunities to mentor junior researchers, lead internal knowledge-sharing sessions (TechTalks), and contribute to the growth of the UX research practice within AgileEngine.

  • Broader Impact: Potential to influence not just tooling but also service design, operational processes, and the overall digital workplace strategy through impactful research.

📝 Enhancement Note: The career growth for a Senior Individual Contributor often lies in deepening expertise, strategic influence, and potentially moving into lead or principal roles within their discipline, rather than direct management. This role offers substantial opportunity for specialization in the critical areas of enterprise UX and AI adoption.

🌐 Work Environment

Office Type: The company offers a fully remote work environment. This means there is no requirement to be present in a physical office. Collaboration and work are conducted entirely online.

Office Location(s): While the job is posted with a location of Belo Horizonte, Minas Gerais, Brazil, the "100% remotely" perk indicates that candidates from other locations within Brazil might be considered, or potentially globally, as long as they meet the "Upper-intermediate English level" requirement and can work with the Brazilian team's core hours.

Workspace Context:

  • Digital Collaboration Hub: The workspace is primarily digital, relying on collaboration tools (e.g., Slack, Microsoft Teams, Zoom) for communication, project management tools (e.g., Jira, Asana) for task tracking, and cloud-based documentation platforms (e.g., Confluence, Google Workspace) for knowledge sharing and artifact management.

  • Tools & Technology: Access to common research platforms for recruitment, moderated/unmoderated studies, surveys, and synthesis tools. This also includes enterprise-grade software for product development, IT operations, and potentially AI platforms.

  • Autonomy & Flexibility: The environment is designed to foster autonomy, allowing researchers to manage their schedules and work from their preferred remote location. This requires strong self-discipline and time management skills.

Work Schedule: The job description explicitly states flexible hours. While a standard 40-hour work week is implied for full-time employment, the flexibility allows employees to structure their day to optimize productivity, manage personal commitments, and potentially align with global team members across different time zones.

📝 Enhancement Note: The fully remote, flexible hours environment is a significant draw. For operations and research roles, this can be ideal for deep work and focused analysis, but it necessitates strong self-management and communication skills to stay connected and aligned with the team.

📄 Application & Portfolio Review Process

Interview Process: The interview process is likely to be multi-stage and designed to assess research expertise, strategic thinking, collaboration skills, and cultural fit.

  • Initial Screening: A recruiter or hiring manager will likely review your resume and application, focusing on your years of experience, specific research methodologies used, and familiarity with enterprise environments and JTBD frameworks.

  • Technical Interview(s): Expect in-depth discussions about your UX research experience, methodology choices, how you handle ambiguity, and your approach to synthesizing complex data. You'll likely be asked to walk through specific case studies from your portfolio.

  • Portfolio Review: A dedicated session where you present 1-2 detailed case studies from your portfolio. This is where you'll demonstrate your research process, your ability to derive insights, and how your work influenced decisions. Be prepared to discuss the challenges, your role, and the outcomes.

  • Stakeholder/Team Interview: Interviews with potential cross-functional partners (e.g., Product Managers, Operations Leads) to assess your collaboration style, communication skills, and ability to translate research into actionable recommendations for their specific domains.

  • Final Interview: Potentially with a senior leader to discuss strategic alignment, cultural fit, and long-term career aspirations.

Portfolio Review Tips:

  • Focus on Impact: For each case study, clearly articulate the problem, your role, the research methods used, key insights, and most importantly, the recommendations made and the resulting impact (even if qualitative).

  • Showcase JTBD Application: If possible, highlight a case study where you applied or evolved a Jobs-to-be-Done framework. Explain your process and how it informed strategic decisions.

  • Demonstrate Enterprise Context: Emphasize research conducted within enterprise settings, dealing with internal tools, complex workflows, or employee experience challenges.

  • Be Prepared for "Why": Be ready to explain why you chose specific research methods, why you made certain recommendations, and how you navigated challenges.

  • Conciseness and Clarity: Present your work clearly and concisely, avoiding jargon where possible, and tailoring your narrative to the specific role requirements. Use visuals effectively.

Challenge Preparation:

  • Hypothetical Research Scenario: You might be given a hypothetical scenario related to IT/Operations employee experience or AI tool adoption and asked to outline a research plan, including methodologies, target participants, and key questions.

  • Data Synthesis Exercise: You may be presented with mock research data (e.g., survey results, interview snippets) and asked to synthesize key insights and formulate recommendations.

  • JTBD Framework Application: Be prepared to discuss how you would apply or extend the JTBD framework to a given problem or product area.

  • Stakeholder Communication: Practice articulating complex research findings and recommendations in a way that is easily understood and actionable for non-researchers.

📝 Enhancement Note: The interview process for a senior role like this will be rigorous. The portfolio review is a critical component, and candidates should prepare detailed case studies that highlight their strategic thinking, autonomy, and impact, especially within enterprise and AI contexts.

🛠 Tools & Technology Stack

Primary Tools:

  • Research Platforms: Proficiency with common platforms for participant recruitment (e.g., UserTesting, Respondent.io), moderated and unmoderated usability testing (e.g., UserTesting, Lookback), survey creation (e.g., SurveyMonkey, Qualtrics, Google Forms), and potentially specialized tools for diary studies or ethnographic research.

  • Collaboration & Documentation: Advanced usage of collaboration suites like Google Workspace (Docs, Sheets, Slides) or Microsoft 365. Familiarity with knowledge management systems like Confluence is highly probable for maintaining traceable research artifacts.

  • Project Management: Experience with tools like Jira or Asana for tracking research tasks and workflows, especially when collaborating with product and engineering teams.

Analytics & Reporting:

  • Survey Analysis Tools: Experience with tools that facilitate quantitative analysis of survey data (e.g., Excel, Google Sheets, SPSS, or built-in platform analytics).

  • Data Visualization: Ability to create clear and impactful visualizations of research data using tools like Tableau, Power BI, or even advanced features in Excel/Google Sheets and presentation software.

  • Qualitative Synthesis Tools: Familiarity with tools that aid in qualitative data analysis, such as Dovetail, NVivo, or thematic analysis methods supported by shared documents.

CRM & Automation:

  • Indirect Familiarity: While not directly managing CRM or automation systems, the role requires understanding how enterprise tools, including CRMs and automation platforms, function within operational workflows. This understanding is crucial for researching their impact on employee experience and productivity.

  • Integration Context: Awareness of how different enterprise systems integrate and the potential user experience implications of these integrations.

📝 Enhancement Note: The emphasis on "common research platforms" and "collaboration and documentation systems" suggests a need for adaptability rather than deep expertise in one specific tool. However, demonstrated proficiency in core UX research tools and strong skills in data synthesis and communication are paramount. The mention of "enterprise product, service, and operational workflows" implies an understanding of the ecosystem where these tools operate.

👥 Team Culture & Values

Operations Values:

  • Data-Driven Decision Making: A core value that underpins the entire research function. Decisions regarding tooling and employee experience should be informed by robust, well-analyzed research data.

  • Impact & Efficiency: A strong focus on generating research that leads to tangible improvements in operational efficiency, employee productivity, and overall user satisfaction with internal tools and services.

  • Collaboration & Partnership: Valuing strong working relationships with product, engineering, and operations teams, fostering an environment where research is seen as an integrated partner, not an isolated function.

  • Continuous Improvement: An ethos of always seeking ways to enhance processes, tools, and user experiences, driven by ongoing research and feedback loops.

  • User-Centricity: Applying a user-focused lens to all aspects of employee experience, ensuring that internal tools and services are designed with the end-user's needs and workflows in mind.

Collaboration Style:

  • Proactive & Integrated: The role requires proactive engagement with stakeholders, integrating research into their planning cycles rather than being an afterthought.

  • Insightful Communication: A style that prioritizes clear, concise, and actionable communication, translating complex research findings into easily digestible insights for diverse audiences.

  • Strategic Partnership: Working as a strategic partner with product and operations teams to define problems, co-create solutions, and validate approaches through research.

  • Feedback-Oriented: A culture that encourages open feedback, both giving and receiving, to refine research methods, improve deliverables, and foster team growth.

📝 Enhancement Note: The culture and values emphasize a results-oriented, collaborative, and user-centric approach. For operations professionals, understanding how the company values data, efficiency, and cross-functional teamwork is key to success and integration.

⚡ Challenges & Growth Opportunities

Challenges:

  • Navigating Complex Enterprise Environments: Understanding and researching intricate IT and Operations workflows, legacy systems, and diverse user needs within a large enterprise can be challenging.

  • Influencing Decisions with Data: Effectively translating research findings into compelling arguments that drive adoption of recommended changes, especially when faced with competing priorities or entrenched practices.

  • Researching AI Adoption & Trust: Understanding user perceptions, adoption barriers, and trust factors related to AI-enabled tools and services requires nuanced research approaches.

  • Maintaining JTBD Framework Relevance: Ensuring the Jobs-to-be-Done framework remains current, comprehensive, and actively used across multiple initiatives requires ongoing effort and stakeholder buy-in.

  • Balancing Strategic Impact with Tactical Needs: Delivering both deep strategic insights and timely, tactical research to support immediate product and operational decisions.

Learning & Development Opportunities:

  • Deep Dive into Enterprise UX & AI: Become a go-to expert in understanding the unique challenges and opportunities of user experience within enterprise IT/Operations and the adoption of AI technologies.

  • Strategic Framework Advancement: Hone skills in developing, applying, and evolving strategic frameworks like JTBD, potentially contributing to their broader adoption within the company.

  • Cross-Functional Influence Development: Gain extensive experience in influencing product and operational strategies through research, enhancing skills in stakeholder management and executive communication.

  • Mentorship & Knowledge Sharing: Opportunities to mentor junior researchers, lead internal training sessions, and contribute to building the UX research practice at AgileEngine.

  • Exposure to Cutting-Edge Technology: Work with Fortune 500 brands and trailblazing startups on projects involving modern technologies and AI, staying at the forefront of industry trends.

📝 Enhancement Note: The challenges highlight the complexities inherent in enterprise operations research and AI adoption. The growth opportunities are substantial for a senior individual contributor looking to deepen their expertise and strategic influence in these critical areas.

💡 Interview Preparation

Strategy Questions:

  • Research Strategy for Ambiguous Problems: "Describe a time you had to scope research for a highly ambiguous problem within an enterprise setting. How did you define the objectives, choose your methods, and ensure your research would yield actionable insights?" (Focus on your process for tackling ambiguity and your JTBD application).

  • Influencing Stakeholders with Research: "Tell me about a situation where your research findings conflicted with existing beliefs or plans of product or operations stakeholders. How did you present your findings, and what was the outcome?" (Highlight your communication, persuasion, and data-driven approach).

  • Applying JTBD to Tooling Decisions: "Imagine we are considering a new AI-powered self-service tool for our IT department. How would you use the Jobs-to-be-Done framework to evaluate its potential adoption and impact on employee workflows?" (Demonstrate your understanding of JTBD and its application to enterprise tools).

Company & Culture Questions:

  • AgileEngine's Approach to Employee Experience: "Based on your understanding of this role and AgileEngine, what do you believe are the key challenges and opportunities in improving the IT and Operations employee experience through technology?" (Show you've researched the company and understand the role's context).

  • Remote Collaboration: "How do you ensure effective collaboration and communication with remote teams and stakeholders across different time zones?" (Address your remote work strategies and communication style).

  • Measuring Research Impact: "How do you measure the success and impact of your UX research initiatives, particularly within an operational context?" (Focus on metrics, outcomes, and how you tie research to business value).

Portfolio Presentation Strategy:

  • Structure Your Narrative: For each case study, use a clear structure: Problem/Opportunity -> Your Role -> Research Questions -> Methodology -> Process -> Key Findings -> Recommendations -> Impact/Outcome.

  • Quantify When Possible: Highlight metrics, adoption rates, efficiency gains, or cost savings that resulted from your recommendations. If direct quantification isn't possible, focus on qualitative impact and stakeholder feedback.

  • Emphasize Your Autonomy: Clearly articulate your specific contributions, decisions, and leadership within the project, especially for senior-level roles.

  • Connect to the Role: When presenting, subtly link your experiences and skills back to the requirements of the Senior UX Researcher role at AgileEngine, especially concerning enterprise tools, AI, and JTBD.

  • Prepare for Deep Dives: Be ready to answer detailed questions about your methodology choices, participant selection, data analysis, and how you handled any challenges or unexpected findings.

📝 Enhancement Note: Interview preparation should focus on demonstrating not just research skills but strategic thinking, autonomy, and the ability to translate insights into tangible business value, particularly within the specified context of enterprise operations and AI.

📌 Application Steps

To apply for this operations-focused UX Research position:

  • Submit your application through the provided application link on the Zoho Recruit portal.

  • Curate Your Portfolio: Select 2-3 of your most relevant UX research case studies that best showcase your experience with enterprise internal tools, employee experience, AI evaluation, and the application of strategic frameworks like Jobs-to-be-Done. Ensure each case study clearly outlines the problem, your role, methodology, insights, recommendations, and impact.

  • Optimize Your Resume: Tailor your resume to highlight your 5+ years of senior-level UX research experience, emphasizing mixed-method research skills, enterprise context, JTBD framework application, and cross-functional stakeholder management. Use keywords from the job description.

  • Prepare Your Presentation: Practice walking through your selected portfolio case studies. Be ready to articulate your process, reasoning, and the impact of your work concisely and compellingly. Prepare to answer questions about your methodology and strategic approach.

  • Research AgileEngine: Understand AgileEngine's mission, their focus on AI/ML and application development, and their "people-first" culture. Consider how your research skills can contribute to their goals, particularly in enhancing internal employee experiences.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Application Requirements

Candidates must have 5+ years of hands-on UX research experience with a strong background in both qualitative and quantitative methodologies. Proficiency in applying strategic research frameworks and managing cross-functional stakeholders within enterprise environments is essential.