Senior UX Researcher ID84743

📍 Job Overview

Job Title: Senior UX Researcher ID84743

Company: AgileEngine

Location: Porto Alegre, Rio Grande do Sul, Brazil

Job Type: Full time

Category: User Experience Research / Product Operations

Date Posted: 2026-08-25

Experience Level: Senior

Remote Status: Remote Solely

🚀 Role Summary

• Lead end-to-end UX research initiatives for IT and Operations employee experience portfolios, ensuring a deep understanding of user needs and behaviors.

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

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

• Synthesize complex research findings into actionable recommendations and clear stakeholder readouts, driving data-informed decisions for tooling rollouts.

📝 Enhancement Note: This role is positioned as a Senior Individual Contributor with significant autonomy, focusing on the critical intersection of user experience, AI adoption, and enterprise operational efficiency. The emphasis on a JTBD framework and direct partnership with product, service, and operational teams highlights a strategic, business-impact-oriented approach to UX research, rather than purely design support.

📈 Primary Responsibilities

• Design and execute comprehensive mixed-method research plans (qualitative and quantitative) to address ambiguous questions within priority IT & Ops initiatives, translating them into decision-ready recommendations.

• Conduct specialized research to evaluate AI-enabled self-service experiences and identify opportunities for improving IT support and employee productivity.

• Test AI Skills concepts to understand user adoption barriers, trust factors, and validation needs prior to broader implementation.

• Develop clear research artifacts, including participant recruitment strategies, study materials, and concise stakeholder readouts that detail implications and recommended next steps.

• Maintain and evolve the Jobs-to-be-Done (JTBD) framework, ensuring it accurately reflects current organizational needs and updating the endorsed tool suite based on new evaluations.

• Partner closely with product, service, and operational teams to validate tooling decisions and ensure successful integration before scaling across the organization.

• Deliver actionable insights on AI-enabled self-service, AI skills adoption, collaboration tools, and business process optimization opportunities.

📝 Enhancement Note: The responsibilities clearly indicate a need for a researcher who can operate autonomously and strategically. The emphasis on "decision-ready recommendations" and "partnering with product, service, and operational teams to validate tooling before broader rollout" suggests a high level of influence and direct impact on business decisions, moving beyond traditional research reporting.

🎓 Skills & Qualifications

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

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

Required Skills:

• Demonstrated ability to independently scope, execute, and synthesize research studies from ambiguous questions to actionable recommendations.

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

• Proven experience researching enterprise internal tools, employee experience (EX), or complex cross-functional workflows.

• Ability to translate complex research findings into clear, concise, and decision-ready recommendations for product and operational stakeholders.

• Demonstrated experience developing and applying a Jobs-to-be-Done (JTBD) or comparable strategic research framework across multiple initiatives, influencing product and operational decisions.

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

• Strong written and verbal communication skills, including the ability to produce concise research readouts and executive-ready storytelling.

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

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

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

• Upper-intermediate English 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.

• Experience with employee experience (EX) 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 multiple 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 an ongoing strategic framework and provide a holistic view.

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

• Experience partnering with teams through product launch and post-launch measurement phases, not just initial study delivery.

📝 Enhancement Note: The "Must Haves" section strongly emphasizes independent execution and strategic application of research frameworks like JTBD, indicating a need for a highly autonomous and impactful researcher. Preferred skills highlight a valuable specialization in AI and employee experience, suggesting these areas are of particular interest for future growth.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 3-5 robust UX research case studies that demonstrate independent scoping, execution, and synthesis of mixed-method studies.

• Include projects that highlight experience with enterprise internal tools, employee experience (EX), or complex operational workflows.

• Present research that effectively translates findings into actionable recommendations for product and operational stakeholders, showcasing decision-making influence.

• Demonstrate experience in developing and applying strategic frameworks like Jobs-to-be-Done (JTBD) within your case studies, illustrating how it informed product or operational decisions.

• Highlight examples of collaboration with cross-functional teams (Product, Engineering, Operations, Service) and how your research facilitated their decision-making processes. Process Documentation:

• Provide evidence of creating detailed research plans, participant recruitment strategies, and study materials.

• Showcase examples of synthesizing complex data into clear, concise research artifacts, stakeholder readouts, and executive-ready presentations.

• Illustrate how you've maintained traceable research artifacts, findings, and decisions using collaboration and documentation systems.

• If possible, include examples of how your research has been connected to broader strategic frameworks or tool suites.

📝 Enhancement Note: For a senior role, a portfolio is crucial for demonstrating independent capability and strategic impact. The emphasis on JTBD and influencing operational decisions means case studies should clearly articulate the problem, the research methodology, the insights, and the tangible impact or recommendations made.

💵 Compensation & Benefits

Salary Range: For a Senior UX Researcher in Porto Alegre, Brazil, with 5+ years of experience and remote work capabilities for an international company, the estimated annual salary range is likely between BRL 120,000 to BRL 180,000. This estimate considers the senior level, specialized skills (UX, AI research, JTBD), and the competitive nature of tech roles, with remote work potentially aligning with international compensation benchmarks, adjusted for local cost of living and market rates.

Benefits:

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

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

• Flexibility: 100% remote work with flexible hours supporting focus, autonomy, and work-life balance.

• Meaningful, modern projects: Opportunity to work on impactful products using modern technologies with leading global brands.

• 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 that support focus, autonomy, and a healthy work rhythm," indicating a focus on output rather than strict adherence to a 9-to-5 schedule. A standard 40-hour work week is typical for full-time roles, with the flexibility to manage tasks and collaborate across different time zones as needed.

📝 Enhancement Note: The salary estimate is based on general market data for senior UX researchers in Brazil and international remote tech roles. Actual compensation will depend on AgileEngine's specific compensation bands, the candidate's experience, and negotiation. The benefits listed are comprehensive and directly address key aspects of employee satisfaction in the tech industry, particularly for remote workers.

🎯 Team & Company Context

🏢 Company Culture

Industry: Software Development and IT Consulting. AgileEngine operates in the technology sector, creating award-winning software solutions for Fortune 500 brands and startups across over 17 industries. This diverse industry exposure means the UX researcher will encounter a wide range of user needs and business challenges.

Company Size: AgileEngine is an Inc. 5000 company, which typically indicates a mid-to-large size company, likely with several hundred to a few thousand employees. This size suggests a structured environment with established processes but still enough agility to foster innovation and impact. For operations professionals, this means potential for both defined processes and opportunities to influence them.

Founded: AgileEngine was founded with a vision to create innovative software solutions, and its growth to an Inc. 5000 company signifies a track record of success and a commitment to quality and client satisfaction. Its "people-first culture" and multiple "Best Place to Work" awards suggest an emphasis on employee well-being and development.

Team Structure: The Senior UX Researcher will likely be part of a broader UX/Product team, potentially reporting to a UX Lead or Director. They will collaborate extensively with Product Managers, Designers, Engineers, and crucially, with IT and Operations teams. The "employee experience portfolio" suggests a dedicated focus within the organization, possibly a specialized internal operations or product group.

Methodology: AgileEngine's focus on "award-winning software" and "leaders in application development and AI/ML" implies a commitment to modern development practices, data-driven decision-making, and potentially agile methodologies. The UX researcher's role in evaluating AI and enterprise tooling aligns with a forward-thinking approach to technology adoption and optimization.

Company Website: https://agileengine.com/

📝 Enhancement Note: AgileEngine's positioning as an Inc. 5000 company and a leader in AI/ML suggests a dynamic and technologically advanced environment. The "people-first culture" and "Best Place to Work" awards are significant indicators of a positive and supportive work environment, which is attractive for operations professionals seeking stability and growth.

📈 Career & Growth Analysis

Operations Career Level: This role is classified as "Senior," indicating an individual contributor position with a high degree of autonomy and responsibility. A Senior UX Researcher is expected to lead complex projects, mentor junior team members (though not explicitly stated as a direct report management role), and influence strategic decisions. The focus on enterprise tooling and employee experience research places this role within a critical operational support function, bridging user needs with business process efficiency.

Reporting Structure: The Senior UX Researcher will likely report to a UX Lead, Director of UX, or potentially a Head of Product/Operations, depending on the internal structure. They will work very closely with Product Managers, Designers, and directly with stakeholders in IT and Operations teams to validate tooling and ensure effective employee experiences.

Operations Impact: The UX Researcher's work directly impacts operational efficiency by ensuring that enterprise tools and AI-enabled self-service solutions are user-friendly, adopted effectively, and meet the needs of IT and Operations personnel. By validating tooling before rollout and using a JTBD framework, they help minimize adoption friction, reduce support costs, and improve employee productivity and satisfaction, contributing directly to the company's overall operational effectiveness and employee engagement.

Growth Opportunities:

• Specialization: Deepen expertise in AI-enabled product research, employee experience, and strategic frameworks like JTBD.

• Leadership: Transition into a UX Lead or Manager role, potentially managing a team of researchers, or take on more strategic initiatives within operations.

• Cross-functional Influence: Expand influence across different departments by becoming a go-to expert for user insights related to operational tools and processes.

• Skill Development: Leverage the annual learning budget for advanced courses, certifications, or conference attendance in areas like AI ethics, advanced qualitative/quantitative methods, or service design.

📝 Enhancement Note: The "Senior" level implies a significant level of independence and strategic input. The growth opportunities highlight a path for continued development within UX research or a move towards leadership and broader operational strategy, aligning with typical career trajectories for experienced operations and research professionals.

🌐 Work Environment

Office Type: This role is 100% remote, offering a "people-focused support tailored to your location" rather than a traditional office setting. This means the work environment is defined by the individual's home setup and their ability to collaborate digitally.

Office Location(s): While the job is based in Porto Alegre, Rio Grande do Sul, Brazil, it is a fully remote position. This allows individuals in that specific region to work from home, potentially with access to local well-being programs or support structures provided by AgileEngine.

Workspace Context:

• Digital Collaboration: The primary workspace is digital, relying heavily on collaboration tools (e.g., Slack, Microsoft Teams, Zoom) for communication and project management.

• Operations Tools & Technology: Access to common research platforms for recruitment, moderated/unmoderated studies, surveys, and synthesis is expected, along with collaboration and documentation systems (e.g., Confluence, Notion, SharePoint).

• Team Interaction: While remote, opportunities for team interaction will occur through virtual meetings, dedicated collaboration sessions, and potentially virtual team-building events. The "collaborative culture" suggests active engagement is encouraged.

Work Schedule: The role offers "flexible hours that support focus, autonomy, and a healthy work rhythm." While a standard 40-hour work week is implied for full-time employment, the flexibility allows individuals to manage their time effectively, balancing research execution with personal commitments and optimal productivity periods. This is particularly beneficial for roles that require deep focus for research synthesis or extensive stakeholder engagement.

📝 Enhancement Note: The 100% remote nature with flexible hours is a significant draw for operations professionals seeking work-life balance and autonomy. The emphasis on digital collaboration tools and well-being support indicates a modern, employee-centric approach to remote work.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will likely conduct an initial screening to assess basic qualifications, experience, and cultural fit. Be prepared to discuss your background in UX research, especially concerning enterprise tools and AI.

• Portfolio Review & Technical Interview: This is a critical stage where you will present your UX research portfolio. Focus on 2-3 key projects demonstrating your ability to independently scope, execute, and synthesize mixed-method studies, particularly those involving enterprise tools, employee experience, or AI. Be ready to discuss your JTBD framework application and the impact of your research on product/operational decisions.

• Stakeholder Interviews: You will likely interview with Product Managers, Designers, and key stakeholders from IT and Operations teams. These interviews will assess your collaboration skills, ability to translate research into actionable insights for diverse audiences, and understanding of operational workflows.

• Final Interview: A final interview with a senior leader (e.g., Director of UX, Head of Operations) to discuss strategic alignment, long-term vision, and cultural fit.

Portfolio Review Tips:

• Structure Your Case Studies: For each case study, clearly outline the problem statement, your role, the research objectives, methodologies used, key findings, actionable recommendations, and the impact (quantifiable if possible).

• Highlight Independence and Strategy: Emphasize how you independently scoped and executed studies. Clearly articulate your application of the JTBD framework and how your research directly influenced product or operational decisions.

• Showcase Mixed Methods: Demonstrate proficiency in both qualitative and quantitative research techniques and how you integrated them for richer insights.

• Focus on Enterprise & AI: Tailor your examples to highlight experience with enterprise internal tools, employee experience, or AI-enabled products, as these are key areas for this role.

• Practice Your Narrative: Be prepared to walk through your portfolio confidently, telling a compelling story about your research process and its outcomes.

Challenge Preparation:

• Hypothetical Research Scenario: You may be given a hypothetical problem related to IT self-service, AI adoption, or enterprise tooling and asked to outline a research plan. Focus on defining clear objectives, selecting appropriate methods, and identifying key stakeholders.

• JTBD Application: Be ready to discuss how you would apply or evolve a JTBD framework for a new initiative or a specific set of enterprise tools.

• Stakeholder Communication: Practice articulating complex research findings and recommendations in a concise, executive-friendly manner, highlighting the business implications and recommended next steps.

📝 Enhancement Note: The interview process emphasizes practical application and strategic thinking. Preparing strong case studies that directly align with the job description's focus on enterprise tools, employee experience, AI, and the JTBD framework will be crucial for success.

🛠 Tools & Technology Stack

Primary Tools:

• UX Research Platforms: Proficiency with common platforms for participant recruitment, moderated and unmoderated study execution, survey creation, and data synthesis (e.g., UserTesting.com, Maze, Qualtrics, SurveyMonkey, Typeform, Dovetail).

• Collaboration & Documentation Systems: Experience using tools like Confluence, Notion, SharePoint, or similar systems to maintain traceable research artifacts, findings, and decisions.

• Communication Tools: Expertise in using platforms like Slack, Microsoft Teams, or Zoom for daily communication and virtual meetings.

Analytics & Reporting:

• Familiarity with survey analysis tools and basic data analysis techniques for quantitative data.

• Ability to synthesize qualitative data from interviews and usability tests into thematic findings. CRM & Automation:

• While not a direct CRM role, understanding how user feedback and research insights can inform CRM strategies or impact customer experience processes is beneficial.

• Familiarity with how AI-enabled self-service tools might integrate with or impact operational workflows.

📝 Enhancement Note: The job description emphasizes "common research platforms" and "collaboration and documentation systems." Candidates should be prepared to discuss their experience with a range of such tools, highlighting their ability to manage research data and communicate findings effectively within a digital environment.

👥 Team Culture & Values

Operations Values:

• Data-Driven Decision Making: A strong emphasis on using research insights to inform product and operational decisions, moving beyond intuition to evidence-based strategies.

• User-Centricity: A commitment to understanding and prioritizing the needs of employees (users) within the IT and Operations context, ensuring tools and experiences are effective and user-friendly.

• Collaboration & Partnership: A proactive approach to working with cross-functional teams (Product, Design, Engineering, Operations, Service) to ensure research is integrated and impactful.

• Continuous Improvement: A drive to optimize processes, evaluate new technologies (like AI), and refine employee experiences through ongoing research and feedback loops.

• Impact & Accountability: A focus on delivering research that leads to tangible improvements, validates tooling decisions, and contributes to overall operational efficiency and employee satisfaction.

Collaboration Style:

• Proactive Engagement: The role requires actively partnering with product, service, and operational teams, not just waiting for requests. This involves initiating discussions, seeking to understand their challenges, and integrating research into their workflows.

• Clear Communication: A style that prioritizes clear, concise, and actionable communication, both in written reports and verbal presentations, tailored to different stakeholder groups.

• Framework-Driven: Utilizing frameworks like Jobs-to-be-Done to create a shared understanding and common language for discussing user needs and tool evaluations across teams.

• Feedback Integration: A culture that welcomes constructive feedback on research findings and methodologies, fostering a continuous learning environment.

📝 Enhancement Note: AgileEngine's "people-first culture" and "collaborative culture" with "zero micromanagement" suggest an environment that values autonomy, mutual respect, and open communication. The operations values will likely mirror these, with a strong focus on data, user needs, and effective teamwork to drive operational success.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Ambiguity: Independently scoping and executing research for complex, potentially ill-defined problems within IT and Operations, especially concerning new AI technologies.

• Synthesizing Diverse Data: Integrating findings from various qualitative and quantitative methods to form cohesive, actionable insights for enterprise-level decisions.

• Influencing Stakeholders: Effectively communicating research findings and recommendations to diverse stakeholders (technical, operational, product) to drive adoption of validated tooling and strategies.

• Maintaining JTBD Framework: Ensuring the Jobs-to-be-Done framework remains relevant, updated, and actively used across multiple initiatives and product areas.

• Researching Emerging Tech: Staying abreast of and effectively researching the nuances of AI-enabled tools, user adoption barriers, and trust factors in complex enterprise environments.

Learning & Development Opportunities:

• AI Research Specialization: Deepen expertise in researching AI-driven products, user trust, adoption barriers, and the ethical implications of AI in the workplace.

• Strategic Framework Application: Gain advanced experience in applying and evolving strategic research frameworks like Jobs-to-be-Done to influence broader organizational strategy.

• Employee Experience (EX) Focus: Develop specialized knowledge in employee experience research, understanding the unique needs and workflows of internal users.

• Cross-functional Leadership: Enhance skills in influencing and collaborating with senior leaders in Product, Engineering, and Operations to drive strategic initiatives.

• Annual Learning Budget: Utilize the provided budget for external training, conferences, certifications, or courses relevant to UX research, AI, or operations.

📝 Enhancement Note: The challenges presented are typical for a senior researcher in a dynamic tech environment, requiring strong problem-solving, communication, and strategic thinking skills. The growth opportunities are well-aligned with current industry trends in AI and employee experience.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you independently scoped and executed a complex UX research project from start to finish. What were the key challenges, and how did you overcome them?" (Focus on your autonomy, problem-solving, and methodology selection.)

• "How would you apply a Jobs-to-be-Done framework to evaluate a new AI-powered self-service tool for IT support? What would be your key research questions and methods?" (Demonstrate your understanding of JTBD and your ability to strategize research for AI products.)

• "Imagine you've conducted research that contradicts a widely held belief or a product team's initial assumptions. How would you present these findings to ensure they are understood and acted upon by stakeholders?" (Highlight your communication, stakeholder management, and data storytelling skills.) Company & Culture Questions:

• "How do you see your role as a UX Researcher contributing to AgileEngine's mission of creating award-winning software and supporting Fortune 500 brands?" (Connect your work to the company's overall goals and industry impact.)

• "Our culture emphasizes a 'people-first' approach and 'zero micromanagement.' How do you thrive in such an environment, and how do you ensure accountability and drive results autonomously?" (Showcase your self-management, collaboration style, and commitment to impact.)

• "Describe your experience working with enterprise internal tools and employee experience initiatives. What are the unique challenges and opportunities in this space?" (Demonstrate relevant domain knowledge.) Portfolio Presentation Strategy:

• Select Impactful Projects: Choose 2-3 case studies that best showcase your senior-level capabilities, independence, strategic thinking (JTBD), and impact on enterprise tooling or AI initiatives.

• Tell a Story: For each case study, structure your narrative to clearly articulate the problem, your approach, key insights, actionable recommendations, and the resulting impact. Quantify impact where possible.

• Emphasize JTBD: Clearly explain how you utilized or adapted the JTBD framework and how it informed your research design and recommendations.

• Highlight Collaboration: Detail how you partnered with product, engineering, and operations teams throughout the research process and how your work influenced their decisions.

• Be Prepared for Deep Dives: Anticipate questions about your methodology choices, data synthesis process, and how you handled unexpected findings or challenges.

📝 Enhancement Note: Interview preparation should focus on demonstrating senior-level autonomy, strategic thinking with frameworks like JTBD, and the ability to translate research into actionable business outcomes within an enterprise context, particularly concerning AI and employee experience.

📌 Application Steps

To apply for this operations position:

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

• Tailor your Resume: Optimize your resume to highlight your 5+ years of hands-on UX research experience, emphasizing your ability to independently scope and execute mixed-method studies. Use keywords from the job description such as "Jobs-to-be-Done (JTBD)," "AI-enabled self-service," "enterprise tooling," "employee experience," and "stakeholder management." Quantify achievements where possible.

• Curate Your Portfolio: Select 2-3 of your most relevant UX research case studies that demonstrate your expertise in enterprise tools, employee experience, or AI research. Ensure each case study clearly outlines the problem, your approach, key insights, actionable recommendations, and the impact of your work. Specifically highlight instances where you applied a JTBD framework.

• Prepare for Portfolio Presentation: Practice walking through your selected portfolio case studies, focusing on telling a compelling story about your research process, your strategic thinking, and how your insights drove tangible business outcomes or validated critical decisions. Be ready to discuss your methodology and stakeholder interactions.

• Research AgileEngine: Familiarize yourself with AgileEngine's work, their focus on AI/ML, their "people-first culture," and their client portfolio. Understand how your role contributes to their overall mission and values.

⚠️ 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.