Senior UX Researcher ID84743

📍 Job Overview

Job Title: Senior UX Researcher

Company: AgileEngine

Location: Rio de Janeiro, Rio de Janeiro, Brazil

Job Type: Full time

Category: User Experience Research / Operations Support

Date Posted: 2026-08-25

Experience Level: 5-10 years

Remote Status: Remote Solely

🚀 Role Summary

• Drive end-to-end UX research initiatives for IT and Operations employee experience portfolios, focusing on AI-enabled self-service and enterprise tooling.

• Independently scope, plan, and execute mixed-method research studies to generate actionable insights for critical tooling decisions.

• Maintain and evolve a Jobs-to-Be-Done (JTBD) framework to inform product strategy and tool evaluation across multiple initiatives.

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

• Collaborate closely with Product, Service, and Operational teams to validate tooling solutions prior to broader rollout and adoption.

📝 Enhancement Note: While the title is "Senior UX Researcher," the description heavily emphasizes research for IT and Operations employee experience, AI-enabled self-service, and enterprise tooling. This indicates a strong operational focus, requiring candidates to understand internal workflows, employee productivity, and the impact of technology on operational efficiency. The role bridges traditional UX research with a deep understanding of enterprise operations and the adoption of advanced technologies like AI.

📈 Primary Responsibilities

• Plan and lead mixed-method (qualitative and quantitative) UX research studies to evaluate AI-enabled self-service experiences and enhance IT support for internal employees.

• Independently scope research projects from ambiguous questions to decision-ready recommendations, ensuring continuity and impact across priority IT & Ops initiatives.

• Design and moderate research to test AI Skill concepts, identifying core jobs-to-be-done, adoption barriers, and user trust/validation needs.

• Develop comprehensive research plans, participant recruitment strategies, and study materials for key initiatives.

• Synthesize research findings into clear, concise recommendations, actionable research artifacts, and compelling stakeholder readouts that detail implications and next steps.

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

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

• Partner proactively with Product, Service, and Operational teams to validate tooling decisions and ensure alignment with business objectives before scaling.

• Utilize common research platforms for recruitment, moderated/unmoderated studies, surveys, and synthesis, as well as collaboration and documentation systems for traceable research artifacts.

📝 Enhancement Note: The core responsibilities highlight a strong emphasis on operational impact, focusing on internal employee experiences with IT and operational tools, rather than external customer-facing products. The JTBD framework is critical for understanding employee needs and aligning tool adoption with actual job requirements, a key aspect of effective operations management.

🎓 Skills & Qualifications

Education: While no specific degree is mandated, a strong academic background in Human-Computer Interaction, Psychology, Sociology, Anthropology, Computer Science, or a related field is typically expected for senior-level UX research roles. Relevant coursework or certifications in research methodologies are highly valued.

Experience: 5+ years of hands-on UX research experience at a senior individual-contributor level, demonstrating the ability to independently scope, execute, and synthesize research studies.

Required Skills:

• <b>Senior-Level UX Research:</b> Proven ability to independently scope, plan, execute, and synthesize mixed-method UX research studies from initiation to recommendation.

• <b>Mixed-Method Expertise:</b> Strong proficiency in selecting, executing, and analyzing both qualitative (e.g., interviews, usability testing, ethnography) and quantitative (e.g., surveys, analytics, A/B testing) research methods.

• <b>Enterprise/Internal Tooling Research:</b> Demonstrated experience researching enterprise internal tools, employee experience, complex cross-functional workflows, or IT/Operations processes.

• <b>Jobs-to-Be-Done (JTBD) Framework:</b> Proven experience developing and applying a JTBD or comparable strategic research framework across multiple initiatives, translating insights into product and operational decisions.

• <b>Stakeholder Management & Communication:</b> Excellent collaborative stakeholder management skills across product, design, engineering, operations, and service teams. Strong written and verbal communication, including concise research readouts and executive-ready storytelling.

• <b>Research Platforms Proficiency:</b> Familiarity with common research platforms for recruitment, moderated and unmoderated studies, surveys, and synthesis.

• <b>Operational Workflow Understanding:</b> Experience working within enterprise product, service, and operational workflows.

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

• <b>Language Proficiency:</b> Upper-intermediate English level for effective communication in a global team. Preferred Skills:

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

• <b>Employee Experience/ITSM Focus:</b> Experience with employee experience initiatives, IT Service Management (ITSM), self-service support platforms, or digital workplace tools.

• <b>Framework Evolution:</b> Experience applying or evolving a JTBD framework across multiple product or service areas, connecting individual studies to an ongoing strategic framework.

• <b>Impactful Research Track Record:</b> Demonstrated track record of shipping research that influenced enterprise tooling decisions, AI adoption, or service experience improvements.

• <b>End-to-End Process Involvement:</b> Experience partnering through product launch and measurement phases, not solely delivering initial studies.

• <b>Actionable Insight Generation:</b> Ability to transform complex findings into concrete actions that improve self-service, reduce user confusion, or streamline operational workflows.

📝 Enhancement Note: The qualifications emphasize a blend of core UX research competencies with specific experience in enterprise environments and emerging technologies like AI. The "Must Haves" point towards a need for an independent, senior-level researcher capable of driving projects with minimal supervision, particularly within the operational context of internal tools and employee productivity.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrations of independently scoped, executed, and synthesized mixed-method UX research studies, showcasing the full research lifecycle.

• Case studies detailing the application of the Jobs-to-Be-Done (JTBD) framework, illustrating how it informed product or operational decisions and their subsequent impact.

• Examples of research artifacts, including research plans, participant screeners, discussion guides, survey instruments, and synthesis reports.

• Evidence of translating complex research findings into clear, actionable recommendations and decision-ready readouts for diverse stakeholders (product managers, engineers, operations leads).

• Projects that highlight experience researching enterprise internal tools, employee experience, or complex operational workflows, demonstrating an understanding of these environments. Process Documentation:

• Examples of well-documented research plans that clearly outline objectives, methodologies, timelines, and participant recruitment strategies for operational tooling or AI initiatives.

• Showcases of how research findings and decisions are documented and maintained using collaboration and documentation systems, ensuring traceability and knowledge sharing.

• Demonstrations of how research insights have been used to validate tooling decisions, influence product roadmaps, or drive improvements in self-service experiences and operational efficiency.

• Evidence of how the JTBD framework was applied and evolved, with artifacts showing how it connects different initiatives and tool evaluations.

📝 Enhancement Note: For a role focused on enterprise tooling and employee experience, a portfolio should strongly emphasize the researcher's ability to navigate complex organizational structures and drive tangible improvements in operational efficiency and employee productivity. The JTBD framework application is a key differentiator.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for Senior UX Researchers in major metropolitan areas like Rio de Janeiro, with 5-10 years of experience, and considering the remote nature and specialized skill set (AI, JTBD, enterprise tools), a competitive annual salary range would typically fall between R$150,000 to R$250,000 BRL. This estimate accounts for the senior level, specialized research focus, and the high demand for these skills in the tech industry.

Benefits:

• <b>Growth & Development:</b> Access to mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget for professional development.

• <b>Competitive Compensation:</b> Recognition and reward reflecting skills and impact, with regular performance and compensation reviews.

• <b>Remote Work & Flexibility:</b> 100% remote work arrangement with flexible hours to support work-life balance, autonomy, and focused productivity.

• <b>Impactful Projects:</b> Opportunity to work on meaningful, modern projects with leading brands, utilizing cutting-edge technologies.

• <b>Collaborative Culture:</b> A supportive, zero-micromanagement environment that welcomes ideas and recognizes contributions.

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

Working Hours: 40 hours per week, with flexibility to support autonomy and a healthy work rhythm, allowing for focused work periods and effective time management across different time zones if necessary.

📝 Enhancement Note: The salary range is an estimate based on market data for senior UX roles in Brazil, adjusted for remote work and specialized skills. Benefits are directly extracted from the job description and highlighted for their relevance to professional development and work-life balance, which are key considerations for operations professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software Development & IT Services, with a focus on creating award-winning software for Fortune 500 brands and startups across 17+ industries. AgileEngine is recognized for its leadership in application development and AI/ML.

Company Size: AgileEngine is an Inc. 5000 company, indicating it is a rapidly growing, established mid-to-large-sized technology firm, likely employing several hundred to over a thousand professionals globally. This size suggests a structured environment with opportunities for impact but also potential for established processes and cross-functional teams.

Founded: Founded prior to its Inc. 5000 recognition (which typically requires significant growth over several years), suggesting a company with a solid track record and evolving maturity, likely established in the last 5-15 years, focused on innovation and client success.

Team Structure:

• The UX Research function likely sits within a broader Product or Design organization, but this specific role is embedded within or closely aligned with IT and Operations teams.

• The Senior UX Researcher will operate as a senior individual contributor, expected to lead research efforts independently.

• Collaboration will be extensive with Product Managers, Designers, Service Owners, IT Operations specialists, and potentially Engineering teams to validate tooling and improve employee experiences. Methodology:

• <b>Data-Driven Decision Making:</b> Emphasis on research to inform tooling decisions, AI adoption, and process improvements, underpinning a data-driven approach to operations and product development.

• <b>User-Centricity (Internal Focus):</b> Applying UX principles to internal users (employees) to enhance productivity, satisfaction, and efficiency with enterprise tools.

• <b>Agile Research Practices:</b> Likely involves iterative research cycles, close collaboration with development teams, and a focus on delivering actionable insights quickly to support agile development and operational changes.

• <b>Framework Application:</b> Strong reliance on structured frameworks like Jobs-to-Be-Done to ensure research is strategic and directly tied to business objectives and user needs.

Company Website: https://agileengine.com/

📝 Enhancement Note: The company context highlights a tech-forward organization with a strong reputation in software development and AI. The role's placement within IT/Operations employee experience research suggests a company that values the internal employee's productivity and satisfaction as critical to overall business success, a common trait in mature tech companies.

📈 Career & Growth Analysis

Operations Career Level: This role represents a Senior Individual Contributor (IC) position within the UX Research domain, specifically focused on the operational and employee experience aspects of technology within an enterprise setting. It signifies a high level of autonomy, expertise, and the ability to influence strategic decisions related to internal tooling and AI adoption. The scope extends beyond a single project to managing a portfolio of initiatives.

Reporting Structure: While not explicitly stated, a Senior UX Researcher typically reports to a UX Research Lead, Director of UX, or potentially a Director of Product Operations or IT Operations leadership, depending on the organizational structure. This role requires significant cross-functional collaboration with various departments.

Operations Impact: The Senior UX Researcher will have a direct impact on operational efficiency, employee productivity, and the successful adoption of critical internal tools and AI technologies. By ensuring these tools meet user needs and are effectively integrated into workflows, the role contributes to reduced operational friction, improved employee satisfaction, and better decision-making across IT and Operations departments.

Growth Opportunities:

• <b>Specialization in AI and Enterprise UX:</b> Deepen expertise in researching AI-enabled products, employee experience platforms, and complex enterprise systems, becoming a subject matter expert in these critical areas.

• <b>Leadership Development:</b> Potential to mentor junior researchers, lead research strategy for specific portfolios, or transition into a UX Research Lead or Managerial role as the team grows.

• <b>Cross-Functional Influence:</b> Expand influence across product, engineering, and operational leadership by consistently delivering high-impact research that drives strategic decisions and tangible improvements.

• <b>Strategic Framework Mastery:</b> Further develop expertise in strategic frameworks like JTBD, potentially contributing to their evolution and broader application within the company.

• <b>Continuous Learning:</b> Leverage the annual learning budget and internal knowledge-sharing opportunities to stay abreast of the latest UX research methodologies, AI trends, and enterprise technology advancements.

📝 Enhancement Note: The career path for a Senior UX Researcher in an operations-focused role like this often involves deepening expertise in specific domains (like AI or enterprise tools) or moving into leadership. The emphasis on JTBD and influencing operational decisions positions this role as a strategic contributor.

🌐 Work Environment

Office Type: This role is 100% remote, offering a fully distributed work environment. This eliminates the need for physical office space and allows employees to work from their chosen location.

Office Location(s): While the role is remote, the company specifies a primary location for the candidate in Rio de Janeiro, Rio de Janeiro, Brazil. This often indicates that the candidate should be based in this region for legal, payroll, or time zone alignment purposes, even though they will be working remotely.

Workspace Context:

• <b>Autonomous Workspace:</b> Employees are expected to manage their own remote workspace, ensuring they have a productive and reliable environment for focused work and virtual collaboration.

• <b>Digital Collaboration Tools:</b> The environment relies heavily on digital collaboration and communication tools (e.g., Slack, Zoom, project management software) for team interaction, knowledge sharing, and project execution.

• <b>Focus on Output:</b> The remote and flexible nature emphasizes results and impact over physical presence, fostering an environment where contributions are measured by the quality and effectiveness of the work delivered.

• <b>Global Team Interaction:</b> Opportunities to collaborate with a diverse, global team of professionals, bringing together various perspectives and expertise.

Work Schedule: Flexible hours are offered within a standard 40-hour work week. This allows individuals to structure their workday to optimize personal productivity, accommodate personal needs, and potentially align with specific team collaboration windows, while ensuring consistent availability for essential tasks and meetings.

📝 Enhancement Note: The remote and flexible nature of the work environment is a significant perk, aligning with modern work trends. The specific location in Rio de Janeiro suggests the company has a presence or operational hub there, potentially for legal or HR purposes, even with a remote workforce.

📄 Application & Portfolio Review Process

Interview Process:

• <b>Initial Screening:</b> A review of your resume and portfolio to assess alignment with the required skills and experience, focusing on your UX research background and operational context understanding.

• <b>Hiring Manager Interview:</b> A discussion with the hiring manager to delve deeper into your experience, research approach, and understanding of enterprise tooling and employee experience. Be prepared to articulate your philosophy on JTBD and AI research.

• <b>Skills Assessment/Case Study:</b> You may be asked to complete a take-home assignment or participate in a live exercise to demonstrate your research planning, synthesis, and recommendation-writing skills, potentially focusing on a hypothetical IT/Ops scenario.

• <b>Team/Stakeholder Interviews:</b> Interviews with cross-functional partners (e.g., Product Managers, Operations Leads) to assess your collaboration style, communication effectiveness, and ability to influence diverse stakeholders.

• <b>Final Interview:</b> Potentially with a senior leader to discuss strategic alignment, cultural fit, and long-term career aspirations within AgileEngine. Portfolio Review Tips:

• <b>Showcase Independent Work:</b> Clearly highlight projects where you independently scoped, executed, and synthesized research, demonstrating senior-level autonomy.

• <b>Emphasize Operational Context:</b> Include case studies that specifically address research within enterprise environments, focusing on internal tools, employee experience, or complex workflows. Quantify impact where possible (e.g., "research led to a 15% reduction in support tickets," "influenced adoption of tool X").

• <b>Detail JTBD Application:</b> Dedicate sections to how you've applied the Jobs-to-Be-Done framework. Explain your process, the artifacts created, and how JTBD insights translated into strategic product or operational decisions.

• <b>Demonstrate Mixed-Methods:</b> Present projects that showcase your proficiency in both qualitative and quantitative research, explaining why each method was chosen and how they complemented each other.

• <b>Concise Storytelling:</b> For each case study, clearly articulate the problem, your approach, the key findings, and the actionable recommendations made. Focus on the impact and how your research influenced decisions.

• <b>Tool Proficiency:</b> Briefly mention the research platforms and collaboration tools you are proficient with, especially those relevant to remote work and documentation. Challenge Preparation:

• <b>Anticipate Operational Scenarios:</b> Prepare to discuss how you would approach researching a new AI-powered self-service tool for an IT help desk or a collaboration platform for distributed operational teams.

• <b>JTBD Framework Application:</b> Be ready to explain JTBD in your own words and how you would use it to understand employee needs for enterprise software.

• <b>Stakeholder Alignment:</b> Practice articulating how you would manage differing opinions or priorities among product, engineering, and operations stakeholders regarding research findings and recommendations.

• <b>Data Synthesis:</b> Prepare to discuss how you synthesize disparate data points from qualitative and quantitative research into cohesive insights and actionable recommendations.

📝 Enhancement Note: The interview and portfolio review process for this role will heavily scrutinize the candidate's ability to operate independently, apply strategic frameworks like JTBD, and demonstrate practical experience in enterprise and operational contexts. Strong communication and collaboration skills are paramount.

🛠 Tools & Technology Stack

Primary Tools:

• <b>Research Platforms:</b> Proficiency with common platforms for recruitment (e.g., UserTesting.com, Respondent.io), moderated/unmoderated studies (e.g., UserZoom, Maze, Lookback), and survey administration (e.g., SurveyMonkey, Qualtrics, Google Forms). Specific platforms to be confirmed with the hiring manager.

• <b>Collaboration & Documentation:</b> Experience with tools like Confluence, Notion, Google Workspace (Docs, Sheets), or similar systems for maintaining traceable research artifacts, findings, project documentation, and team collaboration.

• <b>Project Management:</b> Familiarity with tools like Jira, Asana, Trello, or Monday.com for managing research projects, tracking progress, and coordinating with cross-functional teams. Analytics & Reporting:

• <b>Survey Analysis Tools:</b> Ability to analyze quantitative data from surveys using built-in platform features or tools like Excel/Google Sheets, and potentially statistical software if advanced analysis is required.

• <b>Data Synthesis Tools:</b> Proficiency in synthesizing qualitative data from interviews and usability tests, potentially using affinity mapping techniques, thematic analysis, or qualitative analysis software.

• <b>Presentation Software:</b> Expertise in creating clear, compelling, and executive-ready presentations using tools like PowerPoint, Google Slides, or Keynote to communicate research findings and recommendations. CRM & Automation:

• <b>Understanding of Enterprise Systems:</b> While not directly managing them, a conceptual understanding of how CRMs, ITSM platforms (e.g., ServiceNow), and other enterprise software function is beneficial for researching employee experiences within these systems.

• <b>Familiarity with AI Concepts:</b> Understanding of AI capabilities, self-service models, and automation principles relevant to enterprise tooling and employee workflows.

📝 Enhancement Note: The emphasis on "common research platforms" and "collaboration and documentation systems" suggests the company uses standard industry tools, but specific requirements will be clarified by the hiring manager. For this role, the ability to leverage these tools for efficient research management and knowledge sharing is key.

👥 Team Culture & Values

Operations Values:

• <b>Impact-Driven:</b> A strong focus on delivering tangible results that improve operational efficiency, employee productivity, and user satisfaction with enterprise tools.

• <b>Data-Informed:</b> Commitment to using research and data to guide decisions, validate hypotheses, and measure the effectiveness of implemented solutions.

• <b>Collaboration & Transparency:</b> Encouraging open communication, knowledge sharing, and close partnerships across product, engineering, and operations teams.

• <b>Continuous Improvement:</b> A culture that embraces iteration, learning from research, and actively seeking ways to optimize processes and user experiences.

• <b>Employee Empowerment:</b> Valuing the internal employee's experience and providing them with the tools and support needed to succeed. Collaboration Style:

• <b>Cross-Functional Integration:</b> Expectation to work seamlessly with diverse teams, acting as a bridge between user needs and technical/operational realities.

• <b>Proactive Partnership:</b> Engaging with stakeholders early and often to define research questions, share insights, and co-create solutions.

• <b>Constructive Feedback Culture:</b> Openness to receiving and providing feedback to refine research methodologies, study designs, and recommendations.

• <b>Knowledge Sharing:</b> Actively contributing to a shared understanding of user needs and research findings through readouts, documentation, and informal discussions.

📝 Enhancement Note: The company's emphasis on a "people-first culture" and "zero micromanagement" suggests an environment that values autonomy, trust, and mutual respect, which are crucial for successful remote collaboration and operations.

⚡ Challenges & Growth Opportunities

Challenges:

• <b>Navigating Complex Enterprise Environments:</b> Understanding and researching intricate, often legacy, enterprise systems and operational workflows can be challenging due to their complexity and interdependencies.

• <b>Balancing Ambiguity and Actionability:</b> Translating potentially ambiguous research questions into clear, actionable insights that drive concrete tooling decisions and process improvements.

• <b>Influencing Stakeholders with Diverse Priorities:</b> Gaining buy-in and driving adoption of research recommendations across product, engineering, and operations teams with potentially competing objectives.

• <b>Researching Emerging AI Technologies:</b> Staying current with rapidly evolving AI capabilities and effectively researching user adoption, trust, and integration challenges for new AI-enabled tools.

• <b>Maintaining JTBD Framework Relevance:</b> Ensuring the Jobs-to-Be-Done framework remains up-to-date, comprehensive, and actively utilized across various initiatives as the company and its tools evolve. Learning & Development Opportunities:

• <b>Deep Dive into AI and Enterprise UX:</b> Become a specialist in researching AI-driven employee experiences and complex enterprise software, a high-demand skill set.

• <b>Strategic Framework Application:</b> Gain extensive experience in applying and potentially evolving strategic frameworks like JTBD to inform enterprise-level product and operational strategies.

• <b>Mentorship and Knowledge Sharing:</b> Benefit from mentorship opportunities and contribute to the knowledge base through internal TechTalks, sharing expertise on AI research, JTBD, and enterprise UX.

• <b>Cross-Functional Leadership:</b> Develop skills in influencing and collaborating with senior leaders across different departments, honing strategic communication and impact articulation.

• <b>Professional Development Budget:</b> Utilize the dedicated annual learning budget for courses, conferences, or certifications to expand expertise in relevant areas such as advanced research methodologies, AI ethics, or specific enterprise platforms.

📝 Enhancement Note: The challenges highlight the strategic and complex nature of the role, requiring not just research skills but also strong problem-solving and influencing capabilities within an operational context. The growth opportunities are significant for someone looking to specialize and advance in enterprise UX and AI research.

💡 Interview Preparation

Strategy Questions:

• <b>"Describe a time you independently scoped and executed a complex UX research study for an enterprise internal tool. What was the challenge, your approach, and the outcome?"</b>: Prepare a detailed case study focusing on your autonomy, methodology, and the actionable impact of your research on operational tooling or employee experience. Emphasize how you translated findings into concrete recommendations.

• <b>"How would you apply the Jobs-to-Be-Done framework to evaluate a new AI-powered self-service portal for IT support? What key jobs would you look for, and how would you validate them?"</b>: Be ready to walk through your thought process for applying JTBD to an AI/self-service scenario, detailing your research steps and how you'd connect user needs to tool functionality and adoption barriers.

• <b>"Imagine product and operations teams disagree on the priority of a new feature for an internal tool. How would you use UX research to inform their decision-making and align their efforts?"</b>: Focus on your stakeholder management skills, how you'd gather objective data, and present findings in a way that bridges different perspectives and drives consensus towards user-centric solutions. Company & Culture Questions:

• <b>"What interests you most about researching employee experiences within IT and Operations at AgileEngine?"</b>: Research AgileEngine's company mission, values, and recent news. Connect your passion for operational efficiency and employee productivity to their goals.

• <b>"How do you approach collaborating with cross-functional teams (Product, Engineering, Operations) in a remote environment?"</b>: Discuss your strategies for proactive communication, managing expectations, sharing insights, and building relationships in a distributed setting. Highlight your experience with collaboration tools.

• <b>"How do you measure the impact of your UX research on product decisions and business outcomes?"</b>: Be prepared to discuss metrics, KPIs, and qualitative indicators you've used to demonstrate the value of your research, especially in terms of operational improvements or tool adoption. Portfolio Presentation Strategy:

• <b>Structure for Impact:</b> Organize your portfolio by case study, clearly outlining the problem statement, your research objectives, methodology (qualitative/quantitative mix), key findings, actionable recommendations, and the resulting impact or influence on decisions.

• <b>Highlight JTBD and AI:</b> Dedicate specific examples or sections to your experience with the JTBD framework and researching AI-enabled products. Clearly articulate your role and contributions.

• <b>Quantify Results:</b> Wherever possible, use numbers and data to demonstrate the impact of your research (e.g., improved user satisfaction scores, increased adoption rates, reduced support requests, streamlined workflows).

• <b>Visual Storytelling:</b> Use visuals (e.g., personas, journey maps, key quotes, charts from data analysis) to make your findings and recommendations more engaging and understandable.

• <b>Concise and Focused:</b> Be prepared to present a few key projects in detail, rather than trying to cover everything. Focus on quality and relevance to the role's requirements.

📝 Enhancement Note: Preparation should focus on demonstrating senior-level autonomy, strategic thinking (especially with JTBD), and practical experience in operational and enterprise contexts, with a clear understanding of how research drives tangible business impact.

📌 Application Steps

To apply for this Senior UX Researcher position:

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

• <b>Customize Your Resume:</b> Tailor your resume to highlight your 5+ years of experience in UX research, specifically emphasizing your expertise in mixed-method studies, the Jobs-to-Be-Done framework, and research on enterprise internal tools or employee experience. Use keywords from the job description such as "AI-enabled self-service," "enterprise tooling," "operational workflows," and "stakeholder management."

• <b>Curate Your Portfolio:</b> Select 2-3 of your most impactful projects that best showcase your ability to independently scope, execute, and synthesize research, particularly those involving complex enterprise systems, AI, or employee experience improvements. Ensure each case study clearly articulates the problem, your methodology, key findings, and the resulting operational or product impact.

• <b>Prepare Your Narrative:</b> Practice articulating your research process, your approach to JTBD, and your experience collaborating with operational and product teams. Be ready to discuss specific examples of how your research led to actionable recommendations and influenced decisions.

• <b>Research AgileEngine:</b> Familiarize yourself with AgileEngine's mission, values, industry standing, and any recent projects or news. Understand their focus on award-winning software and their "people-first culture" to better align your application and interview responses.

⚠️ 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.

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