Senior UX Researcher ID84743
📍 Job Overview
Job Title: Senior UX Researcher ID84743
Company: AgileEngine
Location: Campinas, São Paulo, Brazil
Job Type: Full time
Category: User Experience (UX) Research / Operations Research
Date Posted: 2026-08-25
Experience Level: 5-10 years
Remote Status: 100% Remote
🚀 Role Summary
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Drive critical UX research initiatives for an IT and Operations employee experience portfolio, focusing on AI-enabled self-service experiences and enterprise tooling.
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Independently scope, plan, and execute mixed-method research studies to uncover actionable insights and inform strategic decisions for operational efficiency and tooling adoption.
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Maintain and evolve a Jobs-to-be-Done (JTBD) framework, ensuring its application across multiple initiatives and its integration with the endorsed tool suite.
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Synthesize complex research findings into clear, decision-ready recommendations and compelling stakeholder readouts, influencing product, service, and operational teams.
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Collaborate closely with cross-functional teams including product, design, engineering, and operations to validate tooling decisions and ensure successful implementation and adoption.
📝 Enhancement Note: This role is specifically focused on the employee experience within IT and Operations, with a strong emphasis on AI-driven tools and self-service capabilities. The "Operations Research" aspect is derived from the focus on enterprise tooling, operational workflows, and optimizing IT/Ops processes through user-centric research.
📈 Primary Responsibilities
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Independently plan and conduct mixed-method (qualitative and quantitative) research studies to address ambiguous questions within priority IT & Ops initiatives, delivering decision-ready recommendations.
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Design and moderate research to evaluate the effectiveness of AI-enabled self-service experiences and identify opportunities to improve IT support processes.
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Execute studies to test AI Skills concepts, assessing potential jobs to be done, identifying adoption barriers, and understanding user trust and validation needs prior to broader rollout.
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Synthesize research findings into concise recommendations, detailed research artifacts, and impactful stakeholder readouts that clearly articulate implications and proposed next steps.
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Develop, maintain, and extend the Jobs-to-be-Done (JTBD) framework to accurately represent jobs across the organization and update JTBD artifacts to align new tool evaluations with the endorsed tool suite.
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Produce comprehensive research plans, define participant recruitment strategies, and develop all necessary study materials for priority initiatives.
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Deliver decision-ready findings and strategic recommendations that cover AI-enabled self-service, AI skills, collaboration tools, and overall business-process optimization opportunities.
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Partner proactively with product, service, and operational teams to validate tooling decisions and ensure alignment before scaling solutions across the enterprise.
📝 Enhancement Note: The emphasis on "enterprise tooling," "operational workflows," and "IT & Ops initiatives" strongly suggests a focus on internal tools and processes. The responsibility to "validate tooling decisions before they scale" highlights a critical role in the GTM (Go-to-Market) strategy for internal technology adoption, making this role highly relevant to operations professionals.
🎓 Skills & Qualifications
Education: While not explicitly stated, a Bachelor's or Master's degree in Human-Computer Interaction (HCI), Psychology, Sociology, Anthropology, or a related field is typically expected for a Senior UX Researcher role.
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:
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Strong expertise in selecting, executing, and analyzing both qualitative and quantitative research methods.
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Demonstrated experience researching enterprise internal tools, employee experience, and complex cross-functional workflows.
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Proven ability to translate research insights into clear, actionable, and decision-ready recommendations for product and operational stakeholders.
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Extensive experience developing and applying a Jobs-to-be-Done (JTBD) or comparable strategic research framework across multiple initiatives, influencing product and operational decisions.
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Excellent collaborative stakeholder management skills, with the ability to effectively engage with product, design, engineering, operations, and service teams.
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Superior written and verbal communication skills, including the ability to craft concise research readouts and compelling, executive-ready narratives.
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Proficiency with common research platforms for participant recruitment, moderated and unmoderated studies, surveys, and data synthesis.
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Experience working within enterprise product, service, and operational workflows.
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Familiarity with research repositories and documentation tools, with a comfort level using collaboration and documentation systems to maintain traceable research artifacts, findings, and decisions.
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Upper-intermediate English language proficiency. Preferred Skills:
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Experience researching AI-enabled products, assistants, automation, or emerging technology adoption, with a focus on user trust, validation behaviors, reliance, and rollout readiness.
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Experience with employee experience platforms, IT Service Management (ITSM), self-service support systems, or digital workplace tools.
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Proven ability to apply or evolve a Jobs-to-be-Done framework across multiple product or service areas.
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Track record of delivering research that has directly influenced enterprise tooling, AI adoption, or service experience decisions.
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Ability to connect individual research studies to a broader, ongoing strategic framework.
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Demonstrated success in translating complex findings into practical actions that enhance self-service capabilities, reduce user confusion, or streamline operational workflows.
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Experience partnering with teams through product launch phases and participating in measurement and post-launch analysis, beyond initial study delivery.
📝 Enhancement Note: The emphasis on "enterprise internal tools," "employee experience," and "operational workflows" is critical. Candidates should highlight experience that demonstrates how their research directly impacted the efficiency, adoption, and effectiveness of internal systems and processes, which is a core tenet of Revenue Operations and Sales Operations roles.
📊 Process & Systems Portfolio Requirements
Portfolio Essentials:
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Showcase at least 2-3 detailed case studies demonstrating the end-to-end UX research process for enterprise internal tools or employee experience initiatives.
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Clearly articulate the research problem, your specific role, the methodologies employed (qualitative/quantitative), and the key insights derived.
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Quantify the impact of your research on product or operational decisions, ideally with metrics related to adoption, efficiency, user satisfaction, or cost savings.
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Demonstrate experience with a strategic framework like Jobs-to-be-Done (JTBD), illustrating how it was applied and how it informed product/tooling strategy.
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Include examples of research artifacts such as research plans, discussion guides, survey instruments, synthesis frameworks, and stakeholder readouts. Process Documentation:
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Evidence of creating comprehensive research plans that clearly define objectives, scope, methodology, and participant criteria for complex IT/Ops initiatives.
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Examples of well-documented synthesis processes, illustrating how qualitative and quantitative data were integrated to form cohesive insights and actionable recommendations.
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Documentation of how research findings were communicated to product, service, and operational stakeholders, including examples of decision-ready readouts or presentations.
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Demonstration of how research has been used to validate tooling decisions and influence the adoption of new enterprise systems or AI-enabled features.
📝 Enhancement Note: For operations-focused roles, a portfolio is crucial for demonstrating tangible impact. The emphasis here should be on how research improved internal processes, tool adoption, and employee efficiency, aligning with operations objectives. Highlighting experience with JTBD frameworks and enterprise tooling validation is key.
💵 Compensation & Benefits
Salary Range: Based on industry benchmarks for a Senior UX Researcher role in Brazil with 5-10 years of experience, particularly for a remote position with a US-based company (AgileEngine), the estimated salary range is R$10,000 to R$18,000 per month (approximately $2,000 - $3,600 USD/month, depending on exchange rates). This range accounts for the senior level, specialized skills in enterprise UX research, and the remote work arrangement.
Benefits:
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Growth without limits: Opportunities for skill development through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget.
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Competitive compensation: Recognition that reflects skills and impact, with regular performance and compensation reviews.
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Flexibility: 100% remote work with flexible hours to support focus, autonomy, and a healthy work-life rhythm.
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Meaningful, modern projects: Opportunity to build impactful products using modern technologies for leading brands.
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Collaborative culture: A supportive environment with a focus on welcoming ideas and recognizing contributions, free from micromanagement.
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Well-being & support: Access to local well-being programs and people-focused support tailored to the employee's location.
Working Hours: The role is 100% remote with flexible hours. While a standard 40-hour work week is implied, the flexibility allows for autonomy in managing the workday, which is beneficial for deep-focus research tasks common in operations roles.
📝 Enhancement Note: The salary estimate is based on current market data for senior UX researchers in Brazil, considering the remote nature and potential conversion to USD for comparison with international compensation standards. Benefits are directly extracted from the job description, highlighting aspects attractive to operations professionals such as growth, flexibility, and impact.
🎯 Team & Company Context
🏢 Company Culture
Industry: AgileEngine operates within the technology and software development sector, specifically focusing on application development, AI/ML, and creating software solutions for Fortune 500 brands and startups across 17+ industries. This broad industry reach means exposure to diverse operational challenges.
Company Size: AgileEngine is an Inc. 5000 company. While the exact number isn't given, this designation typically implies a company with significant growth and a workforce likely ranging from several hundred to over a thousand employees, offering a dynamic environment for operations professionals.
Founded: Founded in 2017, AgileEngine is a relatively established yet rapidly growing company, suggesting a culture that balances established processes with agility and innovation.
Team Structure:
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The UX Research team likely operates as a specialized function, potentially embedded within product development or as a central research group.
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This Senior UX Researcher role focuses on an "IT and Operations employee experience portfolio," indicating close collaboration with IT, Operations, and Service teams, suggesting a matrixed or highly cross-functional reporting structure.
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Collaboration is key, with the role explicitly partnering with product, service, and operational teams. Methodology:
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Data Analysis & Insights: Emphasis on mixed-method research, synthesizing qualitative and quantitative data to derive actionable insights.
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Workflow Planning & Optimization: Focus on improving IT and Operations workflows and employee experiences through user-centric research.
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Automation & Efficiency: Research into AI-enabled self-service and enterprise tooling directly supports automation and efficiency goals within IT and Operations.
Company Website: https://agileengine.com/
📝 Enhancement Note: The company's focus on creating software for Fortune 500s and startups, combined with its rapid growth, suggests an environment where robust operational processes and efficient internal tooling are critical. The emphasis on "people-first culture" and "zero micromanagement" indicates a supportive yet results-oriented environment, attractive to operations professionals seeking impact.
📈 Career & Growth Analysis
Operations Career Level: This role is positioned at a Senior Individual Contributor level within UX Research, with a specific focus on internal operations and IT employee experiences. For an operations professional, this translates to a role that influences the efficiency and effectiveness of internal business processes and technology adoption, often a crucial component of GTM strategy for internal tools.
Reporting Structure: The Senior UX Researcher will report to a lead within the UX Research function, but will work very closely with and potentially matrixed into Product, Service, and Operational teams for project execution. This cross-functional engagement is common in operations roles where collaboration is essential for implementing and optimizing processes.
Operations Impact: The impact of this role is significant:
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Directly influences the adoption and effectiveness of AI-enabled self-service tools and enterprise software, improving operational efficiency.
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Contributes to better employee experiences within IT and Operations, leading to increased productivity and reduced friction.
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Helps validate tooling decisions, reducing the risk of implementing ineffective solutions and optimizing resource allocation.
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The application of the Jobs-to-be-Done framework ensures that tool development and selection are aligned with actual user needs and business objectives, a core principle in strategic operations. Growth Opportunities:
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Operations Skill Development: Deepen expertise in researching complex enterprise workflows, AI adoption challenges, and employee experience optimization, directly applicable to GTM operations.
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Strategic Framework Application: Become a subject matter expert in applying and evolving the Jobs-to-be-Done framework for internal tooling and operational improvements.
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Cross-Functional Leadership: Develop strong collaboration and influence skills by partnering with diverse teams, potentially leading research initiatives that span multiple departments.
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Specialization in AI & Automation Research: Gain specialized experience in understanding user interaction with AI-driven tools, a highly sought-after skill in modern operations.
📝 Enhancement Note: The growth opportunities are framed to appeal to operations professionals by highlighting the strategic impact, cross-functional influence, and development of specialized skills in areas like AI, automation, and process optimization, which are core to advanced operations roles.
🌐 Work Environment
Office Type: The role is designated as 100% remote, meaning there is no central office requirement. This offers maximum flexibility.
Office Location(s): While the job posting lists Campinas, São Paulo, Brazil as a location, the "100% remote" designation implies that candidates can work from anywhere within their designated region or country, provided they meet local employment requirements. The company also mentions "local well-being programs and people-focused support tailored to your location," suggesting a distributed workforce model.
Workspace Context:
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Collaborative Environment: Despite being remote, the company emphasizes a "collaborative culture" with "zero micromanagement" and a "supportive environment where ideas are welcomed." This suggests strong reliance on digital collaboration tools and proactive communication.
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Operations Tools & Technology: The role requires proficiency with "common research platforms for recruitment, moderated and unmoderated studies, surveys, and synthesis," as well as "collaboration and documentation systems." Experience with "research repositories and documentation tools" is also specified.
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Team Interaction: Remote teams rely heavily on structured communication channels (e.g., Slack, Teams) and scheduled virtual meetings for collaboration, research debriefs, and stakeholder readouts.
Work Schedule: The "flexible hours" aspect of the 100% remote arrangement is a significant benefit. This allows operations professionals to structure their workday around deep-focus research tasks, stakeholder meetings, and personal commitments, optimizing productivity and work-life balance.
📝 Enhancement Note: The remote and flexible nature of the work environment is a key draw. For operations professionals, this means the ability to create an optimized personal workspace and manage time effectively to meet the demands of complex research projects and cross-functional collaboration.
📄 Application & Portfolio Review Process
Interview Process:
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Initial Screening: Likely a call with a recruiter to assess basic qualifications, experience, and cultural fit.
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Hiring Manager Interview: A deeper dive into your UX research experience, methodologies, and understanding of enterprise/operations contexts. Be prepared to discuss your approach to scoping ambiguous problems.
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Skills Assessment/Case Study: A practical exercise, potentially involving a research plan development or a mini-case study analysis related to enterprise tooling or AI adoption. This will test your ability to translate research into actionable insights for operations.
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Team/Stakeholder Interviews: Meetings with potential collaborators from Product, Design, and Operations teams to assess your collaboration style, communication effectiveness, and ability to influence stakeholders.
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Final Interview: Potentially with a senior leader to discuss strategic alignment and overall fit.
Portfolio Review Tips:
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Focus on Impact: For this role, prioritize case studies that demonstrate how your research influenced decisions related to enterprise tooling, internal process improvements, or AI adoption within IT/Operations.
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Showcase JTBD Application: Clearly illustrate how you've used or adapted the Jobs-to-be-Done framework, especially in the context of selecting or evaluating internal tools.
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Quantify Results: Whenever possible, provide metrics that show the impact of your research – e.g., improved adoption rates, reduced support tickets, increased efficiency, cost savings.
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Demonstrate Mixed-Methods Proficiency: Include examples that highlight your ability to blend qualitative and quantitative approaches for comprehensive insights.
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Tailor to Operations: Frame your experience and case studies in terms of solving operational challenges, improving employee productivity, and driving business efficiency through user-centered design principles.
Challenge Preparation:
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Understand the Context: Familiarize yourself with common enterprise tooling challenges, AI adoption barriers in corporate environments, and the importance of employee experience in IT/Ops.
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Prepare JTBD Examples: Be ready to discuss how you've applied or could apply JTBD to understand user needs for internal software.
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Practice Stakeholder Communication: Prepare examples of how you communicate complex research findings to non-research audiences (product managers, operations leaders) and how you translate insights into actionable recommendations.
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Research AgileEngine: Understand their business, their clients, and their focus on software development and AI/ML.
📝 Enhancement Note: The interview process is geared towards assessing not just research skills, but also the ability to apply them strategically to operational challenges. Portfolio emphasis should be on tangible impact within an enterprise context.
🛠 Tools & Technology Stack
Primary Tools:
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Research Platforms: Proficiency with common platforms for recruitment (e.g., UserTesting, Ethnio), moderated and unmoderated studies (e.g., UserTesting, Lookback, Maze), surveys (e.g., Qualtrics, SurveyMonkey, Google Forms), and synthesis (e.g., Dovetail, Miro, Notion).
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Collaboration & Documentation: Experience with systems like Notion, Confluence, Google Workspace, or similar tools for maintaining traceable research artifacts, findings, and decisions.
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Prototyping & Design Tools (Familiarity): While not a designer, understanding tools like Figma, Sketch, or Adobe XD can be beneficial for context when researching user interfaces.
Analytics & Reporting:
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Data Analysis Tools: Familiarity with spreadsheet software (e.g., Excel, Google Sheets) for quantitative data analysis. Experience with statistical analysis tools or qualitative analysis software (e.g., NVivo, ATLAS.ti) is a plus.
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Visualization Tools: Ability to create clear and compelling visualizations for research readouts and stakeholder presentations.
CRM & Automation:
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CRM (Understanding): While not directly managing a CRM, understanding how enterprise tools integrate with CRM systems or impact sales/customer support operations can be beneficial.
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Workflow Automation Tools (Awareness): Familiarity with the concept of workflow automation and how research can inform its implementation within IT and Operations.
📝 Enhancement Note: The specific mention of "research platforms," "collaboration and documentation systems," and "research repositories" indicates a need for candidates to be adept at managing and organizing research data and insights digitally. This aligns with the operational need for structured information management.
👥 Team Culture & Values
Operations Values:
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Data-Driven Decision Making: The core of operations and this role is leveraging research data to inform critical decisions regarding tooling and processes.
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Efficiency & Optimization: A key driver for this role is improving IT and Operations workflows and employee experiences to enhance overall organizational efficiency.
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User-Centricity: Applying a user-centric approach to internal tooling ensures that technology serves the needs of employees and supports their operational tasks effectively.
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Collaboration & Partnership: Success in this role depends on strong partnerships with Product, Service, and Operations teams, fostering a collaborative environment.
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Continuous Improvement: The role involves maintaining and extending frameworks like JTBD, indicating a commitment to ongoing refinement and adaptation of processes and tools.
Collaboration Style:
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Cross-Functional Integration: Expect to work closely with diverse teams, requiring strong communication and negotiation skills to align research efforts with broader business objectives.
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Process Review & Feedback: A culture that likely embraces iterative feedback loops for research plans, findings, and recommendations to ensure maximum impact.
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Knowledge Sharing: As a senior researcher, contributing to the collective knowledge base through documentation and potentially internal tech talks is valued.
📝 Enhancement Note: The values emphasize a blend of analytical rigor, efficiency focus, and collaborative spirit, which are foundational to successful operations teams. The "people-first" and "zero micromanagement" aspects suggest a culture that empowers individuals while expecting accountability.
⚡ Challenges & Growth Opportunities
Challenges:
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Ambiguity in Research Scoping: Independently scoping research for complex IT/Ops initiatives with potentially ill-defined problems requires strong problem-framing skills.
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Influencing Operational Stakeholders: Translating UX research findings into actionable changes within established IT and Operations departments can be challenging and requires strong persuasion skills.
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Balancing Breadth and Depth: Maintaining a comprehensive JTBD framework while conducting deep-dive studies on specific AI features or tools demands excellent prioritization and time management.
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Remote Collaboration Dynamics: Effectively collaborating and building rapport with distributed teams requires proactive communication and engagement strategies.
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Rapidly Evolving AI Landscape: Staying current with AI advancements and their implications for user experience and operational efficiency is an ongoing challenge.
Learning & Development Opportunities:
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Operations Skill Advancement: Gain specialized knowledge in employee experience research, AI product evaluation, and enterprise tooling optimization, highly relevant for GTM and Revenue Operations roles.
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Industry Conference & Certification Participation: Opportunities to attend relevant UX research or operations-focused conferences and pursue certifications.
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Operations Mentorship & Leadership: Potential for mentorship from experienced leaders within AgileEngine or related operations functions, fostering leadership potential.
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Strategic Framework Mastery: Become a go-to expert in applying and advancing the Jobs-to-be-Done framework for enterprise-level decision-making.
📝 Enhancement Note: The challenges highlight areas where operations professionals often excel: problem-solving, influencing stakeholders, managing complex projects, and adapting to new technologies. The growth opportunities are framed around acquiring specialized, in-demand skills within the operations domain.
💡 Interview Preparation
Strategy Questions:
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"Describe a time you independently scoped and executed a mixed-method research study for an enterprise tool. What was the outcome, and how did it influence operational decisions?" (Focus on methodology, impact, and stakeholder influence).
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"How would you apply a Jobs-to-be-Done framework to evaluate potential new AI-powered self-service tools for an IT department?" (Demonstrate strategic thinking and framework application).
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"Walk me through a complex cross-functional workflow you've researched. What were the key pain points, and how did your research lead to process improvements?" (Highlight problem-solving and process optimization). Company & Culture Questions:
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"What interests you about researching employee experience for IT and Operations at AgileEngine?" (Showcase understanding of the role's operational context and company's tech focus).
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"How do you approach building relationships and influencing stakeholders across product, engineering, and operations teams in a remote environment?" (Assess collaboration and communication skills).
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"How do you ensure your research findings lead to tangible improvements, rather than just being 'nice-to-know' information?" (Focus on impact and actionable insights). Portfolio Presentation Strategy:
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Structure: Organize your portfolio by case study, clearly outlining the problem, your role, methodology, key insights, recommendations, and quantified impact.
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JTBD Emphasis: If possible, highlight a case study where you used or adapted a JTBD framework to inform tool selection or feature prioritization within an operational context.
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Operations Lens: Frame your case studies to resonate with operations professionals. Focus on how your research improved efficiency, user adoption, process clarity, or reduced operational friction.
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Conciseness: Be prepared to present key findings succinctly and answer detailed questions about your process and impact.
📝 Enhancement Note: The interview preparation focuses on demonstrating strategic thinking, operational impact, and strong collaboration skills, all crucial for senior roles in operations and GTM functions.
📌 Application Steps
To apply for this operations-aligned UX research position:
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Submit your application through the provided application link on the Zoho Recruit platform.
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Portfolio Customization: Prepare and curate your portfolio to prominently feature case studies related to enterprise internal tools, employee experience research, and the application of frameworks like Jobs-to-be-Done (JTBD). Emphasize projects that demonstrate impact on operational efficiency and tool adoption.
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Resume Optimization: Tailor your resume to highlight your 5+ years of senior-level UX research experience, emphasizing skills in mixed-method research, stakeholder management, and experience with enterprise workflows and AI-enabled products. Use keywords such as "enterprise tooling," "employee experience," "operational efficiency," and "AI adoption."
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Interview Preparation: Practice articulating your research process, key findings, and the impact of your work using the STAR method (Situation, Task, Action, Result). Prepare specific examples for strategy, collaboration, and problem-solving questions, focusing on how your research drives operational improvements.
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Company Research: Thoroughly research AgileEngine, their approach to software development, their clients, and their emphasis on AI/ML and "people-first" culture. Understand their position in the market and how internal operations contribute to their success.
⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.
Application Requirements
Candidates must have 5+ years of hands-on UX research experience with a strong background in both qualitative and quantitative methods. Proficiency in applying strategic frameworks like jobs-to-be-done and experience researching complex enterprise workflows are essential.