Senior UX Researcher ID84743

📍 Job Overview

Job Title: Senior UX Researcher ID84743

Company: AgileEngine

Location: Sorocaba, São Paulo, Brazil (Remote)

Job Type: Full time

Category: User Experience Research / Operations Strategy

Date Posted: 2026-08-25

Experience Level: 5-10 years

Remote Status: Remote Solely

🚀 Role Summary

• Lead hands-on UX research initiatives focused on IT and Operations employee experience portfolios, driving continuous improvement through data-driven insights.

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

• Develop and maintain a robust jobs-to-be-done (JTBD) framework across multiple projects, ensuring alignment with enterprise tooling decisions.

• Synthesize complex research findings into actionable recommendations and clear stakeholder readouts for product, service, and operational teams.

• Partner closely with cross-functional teams to validate tooling decisions and ensure successful adoption before broader rollout.

📝 Enhancement Note: This role is positioned within an operations context, focusing on the employee experience of IT and Operations teams. The emphasis on "enterprise tooling," "AI-enabled self-service," and "jobs-to-be-done" framework suggests a strong alignment with operational efficiency and process optimization. The candidate will act as a strategic partner, influencing decisions that impact internal workflows and tool adoption.

📈 Primary Responsibilities

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

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

• Execute research to test AI skill concepts, thoroughly identifying user needs, potential adoption barriers, and crucial trust or validation requirements prior to wider implementation.

• Synthesize research findings into comprehensive reports, clear recommendations, and engaging stakeholder readouts that clearly articulate implications and define recommended next steps.

• Maintain, extend, and evolve the jobs-to-be-done (JTBD) framework to accurately represent internal job functions across the company and ensure updated JTBD artifacts connect new tool evaluations to the endorsed tool suite.

• Develop detailed research plans, participant recruitment strategies, and study materials for key initiatives, ensuring alignment with business objectives.

• Deliver decision-ready findings and strategic recommendations that address AI-enabled self-service, AI skill adoption, collaboration tools, and broader business-process optimization opportunities.

• Collaborate closely with product, service, and operational teams to validate tooling decisions and ensure successful integration and adoption before scaling.

📝 Enhancement Note: The responsibilities highlight a deep dive into internal operational processes and employee tooling. The emphasis on "AI-enabled self-service," "IT support experiences," and "AI skill concepts" indicates a focus on improving internal efficiency and user adoption of technology within IT and Operations departments. The JTBD framework is a critical operational tool for understanding user needs in a complex enterprise environment.

🎓 Skills & Qualifications

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

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

Required Skills:

• Strong proficiency in qualitative and quantitative research methodologies, including study design, execution, and in-depth analysis.

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

• Proven ability to translate raw research data into clear, actionable, and decision-ready recommendations for product and operational stakeholders.

• Significant experience developing and applying a jobs-to-be-done (JTBD) or comparable strategic research framework across multiple initiatives, effectively translating it into tangible product and operational decisions.

• Excellent collaborative stakeholder management skills, with experience working across product, design, engineering, operations, and service teams.

• Superior written and verbal communication skills, with a demonstrated ability to craft concise research readouts and deliver executive-ready storytelling.

• Proficiency with common research platforms for participant recruitment, moderated and unmoderated studies, survey design, and data synthesis.

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

• Comfort utilizing collaboration and documentation systems (e.g., Confluence, Notion) to maintain traceable research artifacts, findings, and decisions.

• Upper-intermediate English proficiency. Preferred Skills:

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

• Experience with employee experience platforms, IT service management (ITSM) tools, self-service support systems, or digital workplace solutions.

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

• A track record of delivering research that has directly influenced enterprise tooling decisions, AI adoption strategies, or service experience improvements.

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

• History of transforming complex research findings into practical actions that enhance self-service capabilities, reduce user confusion, or streamline operational workflows.

• Experience partnering through product launch phases and engaging in post-launch measurement, extending beyond initial study delivery.

📝 Enhancement Note: The requirements emphasize a strong analytical and strategic foundation, particularly in understanding complex internal systems and user behaviors within an enterprise context. The "jobs-to-be-done" framework is a key differentiator, suggesting a need for candidates who can think systematically about user needs and operational efficiency.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 2-3 detailed case studies demonstrating independent scoping, execution, and synthesis of mixed-method UX research projects.

• Clearly articulate the research objectives, methodologies employed (qualitative and quantitative), and the specific research challenges addressed.

• For each case study, present the key findings, actionable recommendations, and the tangible impact or influence these recommendations had on product development, operational processes, or tooling decisions.

• Include examples of how you have applied or adapted strategic frameworks like Jobs-to-Be-Done (JTBD) to inform research direction and decision-making.

• Demonstrate proficiency in presenting complex data and insights in a clear, concise, and stakeholder-friendly manner, suitable for executive readouts. Process Documentation:

• Provide examples of research plans, participant recruitment strategies, and study materials that illustrate your ability to manage the research lifecycle end-to-end.

• Showcase how you document and maintain research artifacts, findings, and decisions using collaboration and documentation systems, ensuring traceability and knowledge sharing.

• Illustrate your approach to synthesizing findings from various research methods into cohesive and actionable insights that drive strategic decisions within product, service, and operational teams.

• Demonstrate your ability to connect individual research efforts to a larger strategic framework or organizational goals, particularly in the context of enterprise tooling and employee experience.

📝 Enhancement Note: A strong portfolio is crucial for this role, as it will serve as evidence of the candidate's ability to independently manage research projects and drive impact. The emphasis on JTBD and its application to enterprise tooling and employee experience is a key area for portfolio demonstration.

💵 Compensation & Benefits

Salary Range: Given the Senior UX Researcher title, 5+ years of experience, and the remote nature of the role within Brazil, the estimated salary range would typically fall between R$ 10,000 to R$ 18,000 per month (gross). This range is an estimate and can vary significantly based on the candidate's specific experience, negotiation skills, and the company's internal compensation structure.

Benefits:

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

• Competitive compensation: Recognition and rewards that reflect skills and impact, with regular performance and compensation reviews.

• Remote work: 100% remote work arrangement, offering flexibility and autonomy.

• Flexible hours: Work schedules that support focus, autonomy, and a healthy work-life rhythm.

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

• Collaborative culture: A supportive environment with a focus on welcoming ideas and recognizing contributions, free from micromanagement.

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

Working Hours: The role specifies flexible hours to support focus, autonomy, and a healthy work rhythm, typical of a 40-hour work week, but with the flexibility to manage one's schedule effectively.

📝 Enhancement Note: The salary estimate is based on general market rates for senior UX researchers in Brazil, considering the remote nature of the role. Benefits are directly extracted from the job description and highlight a strong emphasis on professional growth and employee well-being, which are attractive to operations professionals seeking a supportive and development-oriented environment.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software Development, IT Services, and Consulting. AgileEngine operates across 17+ industries, creating award-winning software for Fortune 500 brands and startups, positioning itself as a leader in application development and AI/ML. This diverse industry exposure means operations professionals may encounter a wide range of business challenges and technological landscapes.

Company Size: AgileEngine is an Inc. 5000 company, indicating significant growth and a substantial employee base, likely in the range of 500-5000 employees. This size suggests a mature organization with established processes but also opportunities for impact and influence within specific teams.

Founded: Founded in 2016, AgileEngine is a relatively young but rapidly growing company, characterized by innovation and a "people-first" approach. This history implies a dynamic and evolving work environment, where new processes and strategies are continuously being implemented.

Team Structure:

• The UX Research team likely consists of senior individual contributors who operate with a high degree of autonomy, as evidenced by the "independently scoping and executing" requirement.

• The role requires close collaboration with product, service, and operational teams, indicating a matrixed or project-based team structure where cross-functional partnerships are essential for success.

• Reporting lines are likely to a UX Research Lead or a Director of Product/Design, with significant direct interaction with Product Managers, Service Owners, and Operations Leads. Methodology:

• Data-driven decision-making: The core of this role is leveraging research to inform decisions, emphasizing a data-driven approach to understanding user needs and operational effectiveness.

• Agile Research Practices: Given AgileEngine's name and focus on software development, research methodologies are likely integrated into agile workflows, prioritizing iterative testing and rapid feedback loops.

• Strategic Framework Application: The explicit mention of a "jobs-to-be-done" framework suggests a structured approach to understanding user motivations and aligning product/tool development with strategic business objectives.

Company Website: https://agileengine.com/

📝 Enhancement Note: AgileEngine's profile as a fast-growing, award-winning software company suggests a culture that values innovation, technical expertise, and employee development. For operations professionals, this means an environment where data-informed strategies are likely to be embraced, and there's an opportunity to contribute to impactful projects for major clients. The "people-first" and "zero micromanagement" culture points towards a collaborative and empowering work environment.

📈 Career & Growth Analysis

Operations Career Level: This role is designated as a "Senior UX Researcher," placing it at an advanced individual contributor level. In an operations context, this seniority signifies the ability to lead complex research initiatives independently, mentor junior researchers (if applicable), and significantly influence strategic decisions related to internal tooling, employee experience, and operational efficiency. The focus is on deep expertise and strategic impact rather than people management.

Reporting Structure: The Senior UX Researcher will likely report to a UX Research Manager, Director of Product, or Head of Operations/IT. They will collaborate extensively with Product Managers, Service Owners, IT Operations Leads, and potentially Engineering Managers. This structure demands strong communication and influencing skills to navigate cross-functional dynamics and ensure research insights are effectively integrated into operational strategies.

Operations Impact: The primary impact of this role will be on enhancing the efficiency, usability, and adoption of enterprise tools and AI-enabled self-service experiences for IT and Operations teams. By providing data-driven insights, the researcher will help optimize internal workflows, reduce operational friction, improve employee productivity, and ensure that technology investments align with user needs and strategic business goals. The application of the JTBD framework further emphasizes a strategic contribution to understanding and meeting core operational needs.

Growth Opportunities:

• Specialization in AI and Employee Experience: Deepen expertise in researching AI-driven tools and complex employee experience landscapes within enterprise IT and Operations.

• Strategic Framework Development: Lead the evolution and expansion of the Jobs-to-Be-Done framework across broader organizational initiatives, becoming a subject matter expert.

• Cross-functional Leadership: Develop stronger leadership and influencing skills by driving consensus and action across diverse product, engineering, and operations teams.

• Mentorship: Potentially mentor junior researchers, contributing to the growth of the UX research function within AgileEngine.

• Impactful Project Leadership: Gain experience leading research for high-profile projects with Fortune 500 clients, enhancing professional reputation and skill set.

📝 Enhancement Note: This role offers a clear path for growth within the specialized field of enterprise UX research, particularly concerning operational efficiency and AI adoption. The opportunity to influence strategic tooling decisions and refine operational frameworks like JTBD provides significant career development potential for operations-minded researchers.

🌐 Work Environment

Office Type: This position is 100% remote, meaning there is no physical office requirement. The "work environment" is therefore the candidate's own dedicated workspace.

Office Location(s): While the role is remote, the primary location derived from the job posting is Sorocaba, São Paulo, Brazil. This suggests that while the work is remote, candidates are ideally located within Brazil to potentially benefit from local well-being programs and support structures.

Workspace Context:

• Autonomy and Flexibility: The remote and flexible hours arrangement allows for a highly autonomous work environment, enabling individuals to structure their day for optimal productivity and focus.

• Technology & Tools: Access to common research platforms, collaboration systems (like Confluence or Notion), and modern technologies for project execution. The candidate will need a reliable internet connection and a suitable home office setup.

• Collaboration: While remote, the role emphasizes strong collaboration with global teams and leading brands, requiring effective virtual communication and teamwork skills. This encourages proactive engagement and participation in virtual team activities.

Work Schedule: The work schedule is flexible, supporting focus, autonomy, and a healthy work rhythm. While a standard 40-hour work week is implied, the emphasis is on task completion and impact rather than strict adherence to office hours, which is ideal for operations roles requiring deep analytical focus.

📝 Enhancement Note: The 100% remote and flexible work arrangement is a significant perk, offering unparalleled autonomy. For operations professionals who often require focused, uninterrupted time for analysis and process mapping, this environment can be highly conducive to productivity. The focus on global collaboration implies a need for strong asynchronous communication skills.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio to assess qualifications and experience, particularly in mixed-method research and JTBD application.

• Hiring Manager Interview: A discussion focused on your experience, research approach, and alignment with the role's responsibilities, including how you've independently scoped and executed studies. Expect questions about your experience with enterprise tooling and employee experience research.

• Technical/Case Study Interview: This stage will likely involve a practical exercise or a deep dive into a portfolio case study. You may be asked to present a past project, discuss your research process, and outline how you would approach a hypothetical research challenge related to AI self-service or internal tool evaluation. Focus on your synthesis and recommendation delivery.

• Cross-functional Team Interview: An opportunity to meet with potential collaborators from product, service, or operations teams. This assesses your communication, collaboration, and stakeholder management skills, and how you translate research into actionable insights for different audiences.

• Final Interview: Potentially with a senior leader to discuss overall fit, career aspirations, and confirm alignment with AgileEngine's culture and values.

Portfolio Review Tips:

• Showcase Independence: Highlight projects where you independently led the entire research process from problem definition to recommendation delivery.

• Emphasize JTBD: Clearly demonstrate your experience applying and evolving the Jobs-to-Be-Done framework. Explain how it informed your research questions, participant selection, and insights.

• Detail Mixed-Methods: For each case study, explicitly state the qualitative and quantitative methods used and why they were appropriate for the research objectives.

• Quantify Impact: Wherever possible, quantify the impact of your research. Use metrics to show how your recommendations led to improvements in user experience, adoption rates, or operational efficiency.

• Focus on Enterprise Context: Prioritize projects involving enterprise internal tools, complex workflows, or employee experience challenges.

• Concise Storytelling: Structure your case studies as compelling narratives: the problem, your approach, the findings, and the resulting actions/impact. Be prepared to walk through these clearly and concisely.

Challenge Preparation:

• Anticipate JTBD Application: Be ready to discuss how you would apply or adapt the JTBD framework to a new internal tool or an AI self-service feature.

• Research Synthesize & Recommend: Prepare to outline how you would synthesize findings from mixed methods and translate them into decision-ready recommendations for product and operational stakeholders.

• Stakeholder Communication: Practice articulating complex research findings and their implications to different audiences (e.g., technical teams vs. business leaders).

• AI/Self-Service Scenarios: Consider potential research questions related to AI adoption, user trust in AI tools, and the effectiveness of self-service IT support.

📝 Enhancement Note: The interview process is designed to assess not only research skills but also strategic thinking, independence, and the ability to drive operational improvements through user insights. A strong portfolio demonstrating JTBD application and impact on enterprise tooling will be critical for success.

🛠 Tools & Technology Stack

Primary Tools:

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

• Collaboration & Documentation: Experience using systems like Confluence, Notion, Google Workspace (Docs, Sheets, Slides), or similar for maintaining traceable research artifacts, findings, and decisions.

• Synthesis & Analysis Tools: Familiarity with tools for qualitative data analysis (e.g., Dovetail, NVivo, or even advanced spreadsheet functions) and quantitative data analysis (e.g., Excel, Google Sheets, basic statistical software).

• Prototyping/Design Tools (Familiarity): While not a designer, an understanding of tools like Figma, Sketch, or Adobe XD can be beneficial for reviewing designs and understanding user flows.

Analytics & Reporting:

• Survey Tools: As mentioned above, for data collection and initial analysis.

• Spreadsheet Software: Advanced proficiency in Excel or Google Sheets for data manipulation, basic analysis, and reporting.

• Presentation Software: Mastery of tools like PowerPoint or Google Slides for creating clear, executive-ready readouts and research artifacts.

CRM & Automation:

• While not directly managing CRM or automation tools, understanding how these systems function within an enterprise context and how UX research can inform their usability and effectiveness is valuable. Familiarity with enterprise IT ticketing systems (e.g., ServiceNow) or internal workflow tools could be a plus.

• Integration Tool Concepts: Understanding that research might inform the integration points or user experience of automated workflows.

📝 Enhancement Note: The technology stack emphasizes tools for research execution, data management, and communication. The mention of specific platforms for recruitment, studies, and documentation highlights the need for practical, hands-on experience with the standard UX research toolkit. A strong understanding of how research integrates with enterprise systems is key.

👥 Team Culture & Values

Operations Values:

• Data-Driven Impact: A core value is the commitment to using research data to drive meaningful improvements in employee experience, operational efficiency, and tooling decisions.

• User-Centricity: While focused on internal users (employees), the approach is deeply user-centric, aiming to understand and address their needs and pain points effectively.

• Collaboration & Partnership: Strong emphasis on working collaboratively with product, service, and operations teams to ensure research insights are understood, adopted, and acted upon.

• Continuous Improvement: A mindset of constantly seeking ways to refine processes, tools, and experiences through ongoing research and feedback.

• Autonomy & Ownership: Valuing individuals who can take ownership of their work, operate independently, and drive initiatives forward with minimal oversight.

Collaboration Style:

• Cross-functional Integration: The role necessitates close collaboration with diverse teams. The ideal candidate will actively engage with product managers, designers, engineers, and operations stakeholders to gather context, share findings, and co-create solutions.

• Transparent Communication: A culture of open and transparent communication, where research findings, challenges, and recommendations are shared proactively and constructively.

• Feedback Exchange: An environment where constructive feedback is welcomed and utilized for personal and team growth, particularly in refining research methodologies and stakeholder engagement.

• Knowledge Sharing: Encouraging the sharing of research insights, best practices, and learnings across the team and with relevant departments to build collective knowledge and improve decision-making.

📝 Enhancement Note: AgileEngine's culture appears to strongly align with the principles of effective operations: data-driven decision-making, continuous improvement, and strong cross-functional collaboration. The emphasis on autonomy and ownership is particularly appealing for senior operations professionals seeking to make a significant impact.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Complex Enterprise Environments: Understanding and researching intricate internal IT and Operations workflows, which can be challenging due to legacy systems, diverse user groups, and competing priorities.

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

• Researching AI & Emerging Technologies: Staying ahead of the curve in understanding user adoption, trust, and ethical considerations for AI-enabled tools and automation, which are rapidly evolving fields.

• Balancing Strategic Frameworks with Tactical Execution: Effectively maintaining and evolving the JTBD framework while simultaneously executing timely, project-specific research studies.

• Remote Collaboration: Maintaining strong team cohesion and effective communication within a fully remote, global team structure.

Learning & Development Opportunities:

• Advanced AI/ML Research: Deepen expertise in researching user interaction with AI and automation, a critical and growing area in enterprise technology.

• Strategic Operations Consulting: Develop skills in applying research to optimize core operational processes and enterprise tooling, acting as an internal consultant.

• Cross-functional Influence: Enhance abilities to influence decision-making across various departments and levels of an organization.

• JTBD Framework Mastery: Become a recognized expert in applying and evolving the Jobs-to-Be-Done framework within a large enterprise context.

• Industry Conferences & Certifications: Utilize the annual learning budget to attend relevant UX research, AI, or operations-focused conferences and pursue certifications.

📝 Enhancement Note: The challenges presented are typical for senior roles in complex, evolving environments. The growth opportunities are substantial, particularly for those interested in the intersection of UX research, AI, and operational efficiency, positioning the candidate for future leadership in these domains.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you independently scoped and executed a complex mixed-method research study. What was the challenge, your approach, and the outcome?" (Focus on autonomy, methodology, and impact.)

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

• "Imagine we are introducing a new AI-powered self-service portal for IT support. What would be your research approach to ensure user adoption and satisfaction?" (Demonstrate your understanding of AI research challenges and operational impact.)

• "How do you translate complex research findings into actionable recommendations for diverse stakeholders, including product managers, engineers, and operations leads?" (Showcase your communication and synthesis skills.) Company & Culture Questions:

• "What attracts you to AgileEngine and our focus on creating award-winning software for Fortune 500 brands?" (Show research into the company's mission and client base.)

• "How do you see your UX research skills contributing to improving the IT and Operations employee experience within a company like ours?" (Connect your skills to the specific role context.)

• "Describe your ideal remote work environment and how you maintain collaboration and productivity without direct supervision." (Align with AgileEngine's remote and autonomous culture.) Portfolio Presentation Strategy:

• Structure for Impact: Begin with a high-level overview of the project, clearly stating the problem, your role, and the key business objectives.

• Walk Through Methodology: Detail your research plan, participant recruitment, and the mixed methods used, explaining the rationale behind your choices.

• Highlight Key Findings: Present your most impactful insights concisely, using visuals where appropriate.

• Emphasize Recommendations & Outcomes: Clearly articulate the recommendations made and, crucially, the subsequent actions taken and their measurable impact on the product, operations, or user experience. Quantify results whenever possible.

• Showcase JTBD Integration: If applicable, dedicate time to explaining how the JTBD framework guided your research and decision-making.

• Be Prepared for Deep Dives: Anticipate questions about specific methodological choices, data analysis, and how you handled unexpected challenges.

📝 Enhancement Note: Preparation should focus on demonstrating independent leadership, strategic thinking through frameworks like JTBD, and a deep understanding of enterprise operations and employee experience. The ability to translate research into tangible operational improvements is paramount.

📌 Application Steps

To apply for this Senior UX Researcher position:

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

• Tailor your Resume: Highlight your 5+ years of hands-on UX research experience, specifically mentioning your work with enterprise internal tools, employee experience, and complex workflows. Emphasize your proficiency in both qualitative and quantitative methodologies.

• Curate Your Portfolio: Select 2-3 strong case studies that showcase your ability to independently scope, execute, and synthesize research. Prioritize projects demonstrating the application of the Jobs-to-Be-Done framework and its impact on product or operational decisions. Ensure clear articulation of findings and outcomes.

• Prepare Your Narrative: Practice articulating your research process, key findings, and the impact of your recommendations. Be ready to discuss how you would approach research challenges related to AI-enabled self-service and enterprise tooling.

• Research AgileEngine: Familiarize yourself with AgileEngine's work, their clients, and their "people-first" culture. Understand their focus on award-winning software and AI/ML.

⚠️ 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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