Senior UX Researcher ID84743

📍 Job Overview

Job Title: Senior UX Researcher ID84743

Company: AgileEngine

Location: São Paulo, São Paulo, Brazil

Job Type: Full time

Category: UX Research / Product Operations

Date Posted: 2026-08-25

Experience Level: 5-10 years

Remote Status: Remote Solely

🚀 Role Summary

• Lead end-to-end UX research initiatives for IT and Operations employee experience portfolios, ensuring continuity and strategic alignment.

• Independently design, execute, and synthesize mixed-method research studies, focusing on AI-enabled self-service experiences and enterprise tooling.

• Develop and maintain a robust jobs-to-be-done (JTBD) framework to guide product and operational decisions across multiple projects.

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

• Collaborate closely with cross-functional teams, including product, design, engineering, and operations, to validate tooling solutions before broader rollout.

📝 Enhancement Note: This role is deeply embedded within IT and Operations, focusing on the employee experience of internal tooling and AI integrations, rather than external customer-facing products. The emphasis on a "jobs-to-be-done" framework suggests a strategic approach to understanding user needs and aligning tool development with core operational objectives.

📈 Primary Responsibilities

• Independently scope, plan, and conduct mixed-method (qualitative and quantitative) research studies across priority IT & Ops initiatives, transforming ambiguous questions into clear, actionable recommendations.

• Design and moderate research sessions specifically to evaluate AI-enabled self-service experiences and identify opportunities for improving IT support and internal tool effectiveness.

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

• Synthesize research findings into concise and compelling reports, research artifacts, and stakeholder readouts that clearly document implications and recommend strategic next steps.

• Own and evolve the jobs-to-be-done (JTBD) framework, ensuring it accurately reflects current jobs across the organization and updating JTBD artifacts to link new tool evaluations to the endorsed tool suite.

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

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

• Actively partner with product, service, and operational teams to conduct thorough validation of tooling decisions, ensuring alignment and readiness before scaling.

📝 Enhancement Note: The responsibilities highlight a significant degree of autonomy and strategic ownership. The expectation to "independently scope" and "maintain and extend the jobs-to-be-done framework" indicates a senior-level individual contributor role that requires proactive initiative and deep understanding of operational workflows.

🎓 Skills & Qualifications

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

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

Required Skills:

• Strong proficiency in selecting, executing, and analyzing both qualitative and quantitative research methodologies.

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

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

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

• Excellent collaborative stakeholder management skills, with the ability to engage effectively across product, design, engineering, operations, and service teams.

• Exceptional written and verbal communication skills, including the ability to deliver concise research readouts and compelling, executive-ready storytelling.

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

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

• Comfort utilizing collaboration and documentation systems to maintain traceable research artifacts, findings, and decisions.

• Upper-intermediate English language proficiency. Preferred Skills:

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

• Familiarity with employee experience, IT service management (ITSM), self-service support, or digital workplace tools.

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

• A track record of research that has demonstrably influenced enterprise tooling, AI adoption, or service experience decisions.

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

• Proven ability to transform complex findings into concrete actions that enhance self-service capabilities, reduce user confusion, or streamline operational workflows.

• Experience partnering with teams through product launch and post-launch measurement, beyond just delivering initial studies.

📝 Enhancement Note: The "Must Haves" emphasize independent execution and strategic application of research frameworks, particularly JTBD, within an enterprise operations context. The "Nice to Haves" point towards a growing need for expertise in AI and employee experience technologies, suggesting the company is investing in these areas.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 3-5 distinct UX research projects, with a strong emphasis on those involving enterprise internal tools, employee experience, or operational workflows.

• Clearly articulate the research problem or question for each project, detailing the specific business or operational context.

• Demonstrate the methodology chosen (qualitative, quantitative, mixed-methods) and provide a clear rationale for its selection.

• Present key findings and insights with supporting data visualizations, user quotes, or other evidence.

• Detail the actionable recommendations derived from the research and, if possible, illustrate the impact of those recommendations on tool adoption, efficiency, or user satisfaction.

• Include examples of how a jobs-to-be-done (JTBD) framework was applied or could have been applied to inform the research or recommendations. Process Documentation:

• For each portfolio project, provide evidence of research planning documentation, including research plans, participant screeners, and discussion guides.

• Include examples of synthesis artifacts, such as affinity diagrams, journey maps, or key insight summaries.

• Showcase stakeholder readouts or presentations that demonstrate your ability to communicate complex findings concisely and effectively to diverse audiences.

• If applicable, include documentation illustrating how research findings were integrated into product backlogs, design iterations, or operational process improvements.

📝 Enhancement Note: Given the role's focus on internal enterprise tools and operational workflows, the portfolio should heavily feature examples of research that led to tangible improvements in employee productivity, tool adoption, or process efficiency within an organizational setting. The explicit mention of JTBD also means candidates should highlight projects where this framework was used.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for Senior UX Researchers in major tech hubs in Brazil and considering the remote nature of the role, a competitive salary range is estimated between BRL 150,000 to BRL 250,000 annually. This range accounts for the 5+ years of experience, senior-level responsibilities, and the specialized focus on enterprise operations and AI.

Benefits:

• Growth without limits: Access to mentorship programs, internal TechTalks, challenging projects, and a dedicated annual learning budget of up to $X (specific amount to be confirmed).

• Competitive compensation: Regular performance and compensation reviews to ensure recognition of skills and impact.

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

• Meaningful Projects: Opportunity to work on impactful products using modern technologies for leading brands.

• Collaborative Culture: A supportive, zero-micromanagement environment where ideas are welcomed and contributions are recognized.

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

• Global Team Collaboration: Work alongside global teams and leading brands.

Working Hours: This is a full-time position. While the role offers flexible hours, it is expected to align with core business needs and team collaboration, typically equating to approximately 40 hours per week. The remote nature allows for significant autonomy in scheduling, provided deliverables are met and collaboration with teams across potentially different time zones is managed effectively.

📝 Enhancement Note: The salary range is an estimate based on typical compensation for senior UX researchers in Brazil, adjusted for a remote, international company like AgileEngine, which often offers competitive packages. The benefits listed are directly from the job description and are tailored to attract and retain talent in the tech industry, with a particular emphasis on professional development and work-life balance.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software Development, IT Services, and Digital Transformation. AgileEngine operates across 17+ industries, creating award-winning software for Fortune 500 brands and startups. This broad industry reach implies a dynamic environment with exposure to diverse business challenges.

Company Size: AgileEngine is an Inc. 5000 company, indicating it is a rapidly growing mid-to-large sized enterprise, likely with hundreds or thousands of employees globally. This size suggests established processes but also room for agility and impact.

Founded: While the founding date isn't explicitly stated, its Inc. 5000 recognition implies significant growth and established operations. The company's focus on "award-winning software" and "people-first culture" points towards a commitment to quality and employee well-being.

Team Structure:

• The UX Research team, while not explicitly sized, operates within a larger organization that includes product, design, engineering, and operations departments.

• This Senior UX Researcher will likely report into a Head of UX, Director of Product, or a similar leadership role overseeing user experience and product development initiatives.

• Collaboration is expected to be highly cross-functional, with close partnerships with Product Managers, Service Designers, IT Operations leads, and potentially AI/ML specialists. Methodology:

• Data-Driven Insights: The company prioritizes creating "award-winning software," suggesting a strong emphasis on data-informed decision-making and user-centric design principles.

• Agile Development: As an "AgileEngine" company, it's highly probable that agile methodologies are employed in software development and product management.

• Continuous Improvement: The focus on employee experience and enterprise tooling implies a commitment to ongoing optimization and iterative development based on user feedback and operational needs.

Company Website: https://agileengine.com/

📝 Enhancement Note: AgileEngine's profile as an Inc. 5000 company and its focus on Fortune 500 clients suggest a professional, results-oriented environment. The "people-first culture" and "Best Place to Work" awards indicate a strong emphasis on employee satisfaction and a supportive work atmosphere, which is crucial for roles involving complex internal stakeholder management.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a "Senior UX Researcher," signifying an experienced individual contributor with a high degree of autonomy and strategic influence. The focus on an "employee experience portfolio" within IT and Operations suggests a specialization that bridges traditional UX research with a deep understanding of internal business processes and enterprise systems. The role requires not just executing research but also shaping the research strategy and framework (JTBD).

Reporting Structure: The Senior UX Researcher will likely report to a manager or director within the UX, Product, or potentially an IT/Operations leadership team responsible for internal tools and employee experience. This structure allows for direct contribution to strategic decisions concerning enterprise software and AI adoption.

Operations Impact: The UX Researcher's work will directly impact the efficiency, productivity, and satisfaction of IT and Operations employees by ensuring that AI-enabled self-service experiences and enterprise tooling are user-centered, effective, and aligned with their core jobs-to-be-done. This has a ripple effect on overall organizational efficiency and technology adoption rates.

Growth Opportunities:

• Specialization Advancement: Deepen expertise in researching AI-enabled technologies, employee experience, and enterprise systems, potentially becoming a subject matter expert within AgileEngine.

• Strategic Framework Development: Further refine and expand the application of the jobs-to-be-done framework across new initiatives or product areas, influencing strategic roadmapping.

• Leadership Potential: Transition into a lead researcher role, mentoring junior researchers, or moving into product management or design leadership roles that leverage strong user advocacy and strategic thinking.

• Skill Expansion: Develop expertise in quantitative analysis and advanced research methodologies, or gain deeper insights into AI/ML product development cycles.

• Cross-Functional Influence: Build a strong network and reputation for driving impactful research, leading to opportunities to influence broader technology strategy and investment decisions.

📝 Enhancement Note: The career path for a Senior UX Researcher at a company like AgileEngine is typically focused on deepening expertise and increasing strategic impact. The emphasis on internal operations and AI suggests opportunities to specialize in a high-demand and evolving field within UX.

🌐 Work Environment

Office Type: This role is 100% remote, offering significant flexibility. While there may not be a physical office requirement, the company culture emphasizes collaboration and support, suggesting a virtual environment that fosters connection despite geographical distance.

Office Location(s): The role is based in São Paulo, Brazil, but is fully remote. This means the employee can work from any suitable location within Brazil, with potential flexibility for other regions depending on company policy and tax implications.

Workspace Context:

• Home Office Setup: Employees are expected to maintain a productive and secure home office environment conducive to focused work and virtual collaboration.

• Virtual Collaboration Tools: Extensive use of digital collaboration platforms (e.g., Slack, Microsoft Teams, Zoom, Miro, Figma) will be essential for team communication, brainstorming, and research synthesis.

• Access to Technology: The company likely provides necessary software licenses and potentially a hardware stipend to ensure employees have the tools required for their roles, including research platforms and documentation systems.

• Global Team Interaction: Opportunities to connect with colleagues from diverse backgrounds and locations, fostering a global perspective on UX and operations.

Work Schedule: The role offers flexible hours, ideal for remote work. While the core expectation is around 40 hours per week, employees have autonomy in structuring their workday to maximize productivity and balance personal commitments. Effective time management and communication are key to ensuring alignment with global teams and project deadlines.

📝 Enhancement Note: The fully remote and flexible work arrangement is a significant perk, appealing to individuals seeking work-life balance and autonomy. The emphasis on virtual collaboration tools highlights the need for strong digital communication skills.

📄 Application & Portfolio Review Process

Interview Process:

1. Initial Screening: A brief call with HR or a recruiter to assess basic qualifications, interest, and cultural fit.

2. Hiring Manager Interview: A more in-depth discussion with the hiring manager focusing on your experience, approach to UX research, understanding of JTBD, and how you handle complex operational research challenges. Be prepared to discuss your experience with enterprise tools and AI.

3. Portfolio Presentation & Case Study: A dedicated session where you will present 1-2 key projects from your portfolio. Focus on demonstrating your research process, strategic thinking (especially JTBD), synthesis skills, and the impact of your work on business or operational outcomes. Be ready to answer detailed questions about your methodology and decision-making.

4. Cross-Functional Interview(s): Meetings with key stakeholders from product, design, operations, or engineering teams. These interviews assess your collaboration style, communication effectiveness, and ability to translate research into actionable insights for diverse audiences.

5. Final Interview/Offer: A potential final discussion with senior leadership or a formal offer extended.

Portfolio Review Tips:

• Curate Strategically: Select projects that best demonstrate your expertise in enterprise internal tools, employee experience, or complex workflows. Highlight your senior-level autonomy and strategic contributions.

• Emphasize JTBD: Clearly articulate how you have applied or could apply the Jobs-to-Be-Done framework. Showcase how it informed your research questions, methodology, and recommendations.

• Showcase Impact: Quantify the impact of your research whenever possible. Did your findings lead to increased adoption, improved efficiency, reduced support tickets, or better tool utilization? Use metrics to support your claims.

• Tell a Story: Structure your portfolio presentations as compelling narratives. Clearly define the problem, your approach, the key insights, and the resulting actions or recommendations.

• Demonstrate Synthesis: Show how you synthesize complex qualitative and quantitative data into clear, actionable insights that drive decision-making.

• Highlight Collaboration: Prepare to discuss how you partnered with product, engineering, and operations teams, and how you managed stakeholder expectations and communicated findings effectively.

Challenge Preparation:

• Mock Presentation: Practice your portfolio presentation extensively, timing yourself and refining your talking points.

• JTBD Scenarios: Be ready to discuss how you would approach applying JTBD to a hypothetical internal tool or AI feature.

• Operational Research Scenarios: Prepare to discuss how you would tackle research for a complex operational challenge, such as improving IT ticket resolution times or evaluating a new collaboration platform.

• AI Research Nuances: Think about the unique challenges of researching AI-enabled features, particularly around trust, adoption, and user reliance.

📝 Enhancement Note: The interview process is designed to assess not only research skills but also strategic thinking, communication, and collaboration within an operational context. The portfolio presentation is critical, requiring candidates to demonstrate their ability to translate research into tangible business value.

🛠 Tools & Technology Stack

Primary Tools:

• UX Research Platforms: Proficiency with common platforms for participant recruitment (e.g., UserTesting.com, UserZoom, Respondent.io), moderated and unmoderated study execution, surveys (e.g., Qualtrics, SurveyMonkey), and data synthesis (e.g., Dovetail, Condens). Specific platforms will be confirmed by the hiring manager.

• Collaboration & Documentation Tools: Experience with systems for maintaining traceable research artifacts, findings, and decisions. This may include tools like Confluence, Notion, SharePoint, or similar internal documentation systems.

• Prototyping & Design Tools (for review): Familiarity with tools like Figma, Sketch, or Adobe XD is beneficial for understanding design outputs and providing feedback, though not a primary requirement for research execution.

• Data Analysis Tools: Experience with tools for quantitative data analysis and visualization, such as Excel, Google Sheets, SPSS, or basic R/Python for statistical analysis, will be advantageous.

Analytics & Reporting:

• BI & Dashboard Tools: Familiarity with tools like Tableau, Power BI, or Looker for understanding broader product or operational metrics and how research insights can be integrated.

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

CRM & Automation:

• CRM Systems (for context): Understanding of how CRM data might inform user segmentation or provide context for enterprise tool usage.

• Workflow Automation Tools (for understanding): Awareness of how automation impacts operational workflows and user experiences, though direct configuration is not expected.

• IT Service Management (ITSM) Tools (for context): Familiarity with ITSM platforms (e.g., ServiceNow) can be beneficial for understanding the operational context of IT support and self-service.

📝 Enhancement Note: The technology stack emphasizes tools for conducting and managing UX research, as well as collaboration and documentation. While direct experience with CRM or automation tools isn't a core requirement, understanding their role in the enterprise operational landscape is valuable for contextualizing research findings.

👥 Team Culture & Values

Operations Values:

• Data-Driven Decision Making: A strong emphasis on using research and data to inform product and operational strategies, ensuring that decisions are grounded in user needs and business impact.

• User-Centricity: A commitment to understanding and advocating for the employee user, ensuring that internal tools and experiences are intuitive, efficient, and supportive of their jobs.

• Collaboration and Transparency: Fostering an environment where cross-functional teams work together openly, sharing insights and feedback to achieve common goals.

• Continuous Improvement: A proactive approach to identifying opportunities for enhancement in processes, tools, and user experiences, driven by ongoing research and analysis.

• Impact and Accountability: Taking ownership of research outcomes and ensuring that findings translate into tangible improvements that benefit both employees and the organization.

Collaboration Style:

• Cross-Functional Integration: Expectation to work closely with product managers, designers, engineers, and IT/Operations stakeholders, acting as a bridge between user needs and technical/business requirements.

• Iterative Feedback Loops: Engaging in regular feedback sessions, sharing research progress, and incorporating input from various teams to refine research plans and findings.

• Knowledge Sharing: Actively contributing to the team's knowledge base by documenting research processes, findings, and best practices, and participating in internal knowledge-sharing sessions.

• Proactive Communication: Maintaining open lines of communication, providing timely updates, and clearly articulating research plans, progress, and implications to all relevant parties.

📝 Enhancement Note: AgileEngine's culture appears to value data, user advocacy, and collaborative problem-solving. For this role, it's important to demonstrate how you can integrate research insights into operational decision-making and foster a culture of continuous improvement within the IT and Operations functions.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Complex Enterprise Environments: Understanding and researching intricate IT and Operations workflows, often with legacy systems and established processes, can be challenging.

• Balancing Ambiguity with Action: Dealing with loosely defined problems or ambiguous questions within large organizations and translating them into focused, actionable research plans.

• Driving Adoption of New Technologies: Researching and advocating for the adoption of new AI-enabled tools or self-service experiences requires overcoming user inertia and building trust.

• Synthesizing Diverse Stakeholder Needs: Aligning the needs and perspectives of various stakeholders (product, IT Ops, service, engineering) to deliver unified, impactful research recommendations.

• Measuring Long-Term Impact: Connecting research efforts to demonstrable improvements in employee productivity, tool adoption, and operational efficiency over time.

Learning & Development Opportunities:

• AI Research Specialization: Gain deep expertise in researching the adoption, trust, and usability of AI-driven tools and assistants within an enterprise context.

• Strategic Framework Mastery: Become a go-to expert for applying and evolving the Jobs-to-Be-Done framework for internal product development and operational strategy.

• Cross-Functional Leadership: Develop strong influence and leadership skills by partnering effectively with diverse operational and technical teams.

• Industry Conferences & Certifications: Utilize the annual learning budget to attend relevant UX, AI, or Operations technology conferences and pursue certifications.

• Mentorship and Knowledge Sharing: Benefit from mentorship within the company and contribute to the collective knowledge base by sharing your expertise on enterprise UX research.

📝 Enhancement Note: The challenges presented are typical for senior roles within enterprise operations and technology adoption. The growth opportunities are significant, offering a chance to become a specialist in a high-impact, forward-looking area of UX research.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you independently scoped and executed a complex UX research study for an enterprise internal tool. What was the outcome?" (Focus on autonomy, process, and impact).

• "How have you applied or how would you apply a Jobs-to-Be-Done framework to understand the needs of IT or Operations professionals? Provide a specific example." (Demonstrate JTBD understanding and strategic application).

• "Walk me through a situation where your research findings conflicted with existing stakeholder assumptions or plans. How did you communicate your insights and drive alignment?" (Assess communication, influence, and conflict resolution skills).

• "Imagine we are considering a new AI-powered self-service portal for IT support. What would be your initial research approach, and what key questions would you aim to answer?" (Evaluate problem-solving, methodological approach, and understanding of AI research challenges). Company & Culture Questions:

• "What interests you about AgileEngine and our focus on creating award-winning software for Fortune 500 brands?" (Showcase research into the company and genuine interest).

• "How do you see your role contributing to our 'people-first' culture and 'Best Place to Work' values?" (Align your approach with company values).

• "Describe your ideal collaboration style when working with product managers, engineers, and operations teams on internal tooling projects." (Assess fit with cross-functional collaboration). Portfolio Presentation Strategy:

• Structure Your Narrative: For each case study, clearly outline the business/operational problem, your research objectives, your methodology, key findings, actionable recommendations, and the impact of your work.

• Quantify Impact: Use metrics and data to demonstrate the success of your research. If direct metrics are unavailable, articulate the qualitative impact and the logical link to anticipated outcomes.

• Highlight JTBD Application: Explicitly discuss how the JTBD framework informed your research design, analysis, or recommendations.

• Showcase Synthesis: Present your synthesis process visually if possible (e.g., affinity maps, key insight clusters) to demonstrate how you derive actionable insights from raw data.

• Be Prepared for Deep Dives: Anticipate detailed questions about your methodology, participant selection, data analysis, and the rationale behind your recommendations.

📝 Enhancement Note: Interview preparation should focus on demonstrating senior-level strategic thinking, hands-on research expertise, and the ability to drive impact within an enterprise operations context. Highlighting experience with JTBD and AI research will be crucial.

📌 Application Steps

To apply for this Senior UX Researcher position:

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

• Tailor Your Resume: Update your resume to prominently feature keywords related to UX Research, enterprise internal tools, employee experience, AI-enabled products, Jobs-to-Be-Done (JTBD), mixed-methods research, and stakeholder management. Quantify achievements where possible.

• Curate Your Portfolio: Select 1-2 projects that best showcase your senior-level experience in researching internal tools or complex operational workflows. Ensure your portfolio clearly articulates the problem, your unique approach, your JTBD application, key insights, and the tangible impact of your recommendations.

• Prepare Your Presentation: Practice presenting your chosen portfolio case studies, focusing on clear storytelling, strategic rationale, and the impact of your research. Be ready to answer in-depth questions about your process.

• Research AgileEngine: Familiarize yourself with AgileEngine's work, clients, and stated culture. Understand their focus on award-winning software and their "people-first" approach to prepare for culture-fit questions.

⚠️ 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.