2042 UX Researcher

📍 Job Overview

Job Title: Senior UX Researcher – Employee Experience & AI Integration

Company: In All Media Inc

Location: Remote (Costa Rica)

Job Type: Full-time vendor (Direct contract with Inallmedia.com)

Category: User Experience Research / Operations Technology

Date Posted: August 24, 2026

Experience Level: Senior (5+ years)

Remote Status: Fully Remote

🚀 Role Summary

• Lead end-to-end user experience research initiatives focused on internal enterprise tools and AI-enabled solutions, driving significant improvements in employee productivity and operational efficiency.

• Apply and maintain Jobs-to-Be-Done (JTBD) frameworks to strategically evaluate and prioritize internal product investments, ensuring alignment with organizational goals.

• Conduct advanced mixed-method research, translating complex user behaviors and adoption barriers into actionable, executive-ready insights for cross-functional stakeholders.

• Specialize in evaluating AI assistants, self-service platforms, and digital workplace systems, with a keen focus on establishing user trust and reducing operational friction.

📝 Enhancement Note: This role is a hybrid of traditional UX Research and operations-focused analysis, aiming to optimize internal employee experiences and technology adoption. The emphasis on JTBD and AI evaluation suggests a strategic, process-oriented approach to research.

📈 Primary Responsibilities

• Independently scope, plan, and execute mixed-method (qualitative and quantitative) research studies to address ambiguous questions and deliver decision-ready recommendations for internal IT and Operations.

• Design and moderate user studies specifically evaluating AI assistants, automated workflows, and self-service experiences, identifying adoption barriers and trust validation needs.

• Maintain, extend, and apply Jobs-to-Be-Done (JTBD) frameworks across internal product initiatives, ensuring research artifacts align new tool evaluations with the enterprise suite.

• Develop comprehensive research assets, including recruitment screeners, detailed test plans, participant criteria, and protocol materials for high-priority projects.

• Synthesize complex research findings into clear, executive-ready presentations, research artifacts, and actionable stakeholder readouts that drive strategic decisions.

• Collaborate closely with Product Management, Design, Engineering, Operations, and Service Management teams to validate tooling decisions and optimize internal workflows.

• Document and maintain traceable research findings, decision logs, and insights within shared collaboration systems and dedicated research repositories.

📝 Enhancement Note: The responsibilities highlight a need for autonomy, strategic thinking, and strong cross-functional collaboration, typical of senior-level operations and product-adjacent roles. The focus on JTBD and AI evaluation indicates a proactive approach to understanding user needs in evolving technological landscapes.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Human-Computer Interaction (HCI), Psychology, Sociology, Computer Science, or a related field is typically expected for Senior UX Researcher roles. Equivalent practical experience will also be considered.

Experience: 5+ years of hands-on UX Research experience at a senior Individual Contributor (IC) level, demonstrating proven autonomy in scoping, executing, and synthesizing studies.

Required Skills:

• Senior-Level UX Research: Demonstrated ability to lead end-to-end research projects with minimal supervision.

• Mixed-Methodology Expertise: Advanced skills in selecting, executing, and analyzing both qualitative (e.g., interviews, usability testing, ethnography) and quantitative (e.g., surveys, analytics, A/B testing) research methodologies.

• Jobs-to-Be-Done (JTBD) Frameworks: Proven experience developing and applying JTBD or comparable strategic frameworks to inform product strategy and operational decisions.

• Enterprise Internal Tools Research: Direct experience researching enterprise internal tools, employee experience (EX), or complex cross-functional operational workflows.

• AI & Emerging Tech Research: Experience researching AI-enabled products, virtual assistants, or automation, with a focus on user trust, validation behaviors, reliance, and rollout readiness.

• Research Platform Proficiency: Hands-on experience with modern research platforms for participant recruitment, moderated/unmoderated testing, surveys, and insight synthesis/repository tools.

• Cross-Functional Collaboration: Strong stakeholder management skills, effectively partnering with Product, Design, Engineering, and Operations teams.

• Executive Communication & Storytelling: Exceptional written and verbal communication skills, with the ability to translate complex findings into concise, executive-ready presentations and narratives.

Preferred Skills:

• Digital Workplace & ITSM Experience: Familiarity with employee experience platforms, IT Service Management (ITSM), self-service support portals, or enterprise collaboration platforms.

• Framework Evolution: Proven track record of scaling or evolving a JTBD framework across diverse product and service areas within an organization.

• End-to-End Product Impact: History of shipping impactful research that directly influenced enterprise tooling, AI adoption, or self-service efficiency.

• Post-Launch Measurement: Experience partnering with product teams through launch, measurement, and post-implementation phases to track long-term impact and iterate on solutions.

• Agile/Scrum Environment: Experience working within Agile or Scrum development methodologies, integrating research seamlessly into sprints.

📝 Enhancement Note: The emphasis on JTBD and AI research, coupled with enterprise internal tools, points to a strategic role focused on optimizing operational efficiency and employee adoption of new technologies. The "senior IC" level implies a need for strong self-direction and a track record of independent project leadership.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Case Studies of End-to-End Research: Showcase detailed case studies demonstrating the full research lifecycle, from initial scoping and planning to synthesis and stakeholder readouts. Highlight how your research addressed ambiguous questions or complex operational challenges.

• JTBD Framework Application: Include examples where you developed or significantly contributed to a Jobs-to-Be-Done framework, illustrating how it influenced product strategy, feature prioritization, or operational decision-making.

• AI/Automation Research Examples: Present research projects focused on AI-enabled tools, virtual assistants, or automation, emphasizing findings related to user trust, adoption barriers, and required validation behaviors.

• Cross-Functional Collaboration & Impact: Demonstrate instances where your research directly informed decisions made by Product, Engineering, or Operations teams, showcasing your ability to influence strategy and drive measurable outcomes.

• Research Artifacts: Include examples of well-structured research plans, recruitment screeners, data synthesis outputs, and executive-level presentations that clearly articulate insights and recommendations.

Process Documentation:

• Workflow Design & Optimization: Highlight projects where your research identified opportunities to optimize internal workflows, reduce operational friction, or improve the efficiency of employee-facing systems.

• System Implementation & Evaluation: Showcase experience in evaluating new or existing internal systems (e.g., ITSM tools, collaboration platforms) and providing research-backed recommendations for implementation or improvement.

• Metrics & Performance Analysis: Include examples of how your research findings were translated into actionable metrics or KPIs, and how you collaborated with teams to track the post-launch impact of research-informed changes.

📝 Enhancement Note: A strong portfolio for this role should not only showcase research skills but also demonstrate strategic thinking, a deep understanding of enterprise operations, and the ability to translate research into tangible business improvements, particularly in the context of AI and internal tool adoption.

💵 Compensation & Benefits

Salary Range: Given the Senior UX Researcher title, 5+ years of experience, specialized skills in JTBD and AI research, and a remote role supporting enterprise clients, a competitive salary range for Costa Rica (adjusted for cost of living and market rates for remote talent) would likely fall between $45,000 - $70,000 USD annually. This estimate is based on industry benchmarks for senior UX researchers in Latin America and the demand for specialized skills in AI and employee experience.

Benefits:

• Direct contract with Inallmedia.com, potentially offering more flexibility than traditional employment.

• Opportunity to work remotely from Costa Rica, with potential for other LATAM locations.

• Collaboration with international clients and exposure to cutting-edge technology and design practices.

• Involvement in impactful projects focused on improving employee experience and operational efficiency within a major enterprise.

• Potential for professional development and skill enhancement in AI integration and advanced research methodologies.

Working Hours: 40 hours per week, with a requirement for time zone alignment to Eastern Time (ET) ±2 hours to facilitate collaboration with North American teams. This implies a need for some overlap during standard ET business hours.

📝 Enhancement Note: Salary is estimated based on industry data for senior UX roles in Latin America, considering the remote nature and the specialized skill set required. Benefits are inferred from the "full-time vendor" contract type and company description, focusing on remote work advantages and project impact.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology and Design Firm, with a focus on providing technical expertise, product innovation, and team augmentation to international clients. The company specializes in building digital solutions using remote, distributed teams, particularly across LATAM.

Company Size: The company description suggests a growing firm that leverages remote talent, likely scaling its operations to meet client demands. While not explicitly stated, the model implies a need for efficient internal processes and a strong operational backbone.

Founded: The founding date is not provided, but the company's focus on modern digital solutions and remote teams suggests a relatively contemporary establishment.

Team Structure:

• The role is within a "forward-thinking research team" supporting an internal IT & Operations Employee Experience (EX) portfolio for a major enterprise client. This implies a dedicated research function within the client's ecosystem, with Inallmedia.com providing senior-level expertise.

• The Senior UX Researcher will likely report to a Research Lead or Manager within Inallmedia.com, while collaborating closely with client-side Product Managers, Designers, Engineers, Operations, and Service Management teams.

• Cross-functional collaboration is a cornerstone of this role, requiring seamless integration with various departments to gather requirements, validate findings, and drive adoption of optimized solutions. Methodology:

• Data-Driven Insights: The core methodology revolves around rigorous qualitative and quantitative research to uncover user needs and behaviors.

• Strategic Frameworks: Heavy reliance on Jobs-to-Be-Done (JTBD) to frame user problems and guide product decisions.

• Agile & Iterative Processes: The need to collaborate with Product, Design, and Engineering suggests an agile or iterative approach to research and development.

• Focus on Impact: The ultimate goal is to translate research into actionable insights that boost workforce productivity, establish user trust in AI, and reduce operational friction.

Company Website: https://inallmedia.com

📝 Enhancement Note: Inallmedia.com operates as a remote-first technology partner. This role is embedded within a client's operational structure, meaning the candidate will need to navigate both Inallmedia's remote collaboration culture and the client's enterprise environment. The emphasis on remote teams and LATAM talent suggests a focus on efficiency, communication, and leveraging global expertise.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior Individual Contributor (IC) role, signifying a high level of expertise and autonomy. It's a position for an experienced researcher who can lead projects independently and mentor junior team members if applicable. The focus on employee experience and operational systems places it at the intersection of UX and business operations.

Reporting Structure: The researcher will likely report to a Research Lead or Manager at Inallmedia.com. However, a significant portion of their work will involve direct collaboration and reporting of findings to client-side stakeholders in Product, Design, Engineering, IT, and Operations departments.

Operations Impact: The core impact of this role is to enhance internal operational efficiency and employee productivity by improving the user experience of critical internal tools, AI assistants, and self-service platforms. This directly contributes to reducing operational friction, increasing user trust in technology, and optimizing resource allocation.

Growth Opportunities:

• Specialization: Deepen expertise in AI research, employee experience (EX), and advanced JTBD applications, becoming a go-to expert in these niche areas.

• Leadership: Progress into a Research Lead or Managerial role within Inallmedia.com, overseeing research projects and teams, or take on more strategic, high-impact research initiatives within the client organization.

• Cross-Functional Acumen: Develop a broader understanding of enterprise operations, IT Service Management (ITSM), and product development lifecycles, enhancing career versatility.

• Mentorship: Opportunity to mentor junior researchers and contribute to the development of research best practices within Inallmedia.com and the client organization.

📝 Enhancement Note: This role offers a clear path for experienced UX researchers to move into more strategic, operations-focused positions, leveraging their user advocacy skills to drive significant business improvements within a large enterprise. The focus on AI and employee experience aligns with current industry trends, offering excellent future career prospects.

🌐 Work Environment

Office Type: Fully Remote. This role operates entirely outside of a traditional office setting, requiring self-discipline and strong remote collaboration skills.

Office Location(s): While the role is remote, the requirement for time zone alignment with Eastern Time (ET) ±2 hours suggests a primary collaboration focus with teams in North America. The company specifically recruits from LATAM, with listed remote locations including Costa Rica, Ecuador, Peru, Guatemala, and Guyana.

Workspace Context:

• Collaborative Digital Environment: Expect to work extensively with digital collaboration tools (e.g., Slack, Teams, Zoom, Miro, Figma) for communication, brainstorming, and artifact sharing.

• Research Tool Integration: Access to and proficiency with various research platforms for participant recruitment, moderated/unmoderated testing, surveys, and research repositories will be essential.

• Team Interaction: Regular virtual meetings with both the Inallmedia.com research team and client-side cross-functional teams will be a key part of the daily routine.

Work Schedule: Standard full-time hours (40 per week), but with a requirement to align with Eastern Time (ET) business hours. This flexibility allows for remote work but necessitates dedicated overlap for effective collaboration and timely communication.

📝 Enhancement Note: The remote nature of this role is a primary characteristic, demanding strong self-management and communication skills. The time zone alignment requirement is crucial for successful integration with client teams.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or hiring manager will likely conduct a brief screening call to assess basic qualifications, experience level, and cultural fit. Be prepared to discuss your background in UX research, JTBD, and AI.

• Technical Interview / Portfolio Review: This is a critical stage where you will present a portfolio showcasing your relevant work. Expect to walk through 2-3 case studies, detailing your process, methodologies, insights, and the impact of your research. Specific focus will be on JTBD application and AI/internal tool research.

• Hiring Manager Interview: A more in-depth discussion with the hiring manager to explore your strategic thinking, problem-solving skills, stakeholder management abilities, and experience with enterprise environments.

• Cross-Functional / Team Interview: You may meet with key stakeholders from Product, Design, Engineering, or Operations to assess your collaborative capabilities and how you articulate research findings to different audiences.

• Final Interview / Offer: A final conversation, potentially with a senior leader, to confirm fit and extend an offer.

Portfolio Review Tips:

• Curate Strategically: Select 2-3 projects that best demonstrate your experience with JTBD frameworks, AI/automation research, and enterprise internal tools. Prioritize case studies with clear impact on operational efficiency or employee experience.

• Structure Your Narratives: For each case study, clearly outline the problem/challenge, your role and responsibilities, the methodologies used, key findings, how you synthesized data, your recommendations, and the resulting impact (quantifiable if possible).

• Highlight JTBD & AI: Explicitly call out how you applied JTBD principles and what insights you gained from researching AI-enabled tools. Discuss challenges related to user trust and adoption.

• Showcase Communication Skills: Prepare concise, executive-ready summaries and visual aids for your presentations. Be ready to articulate complex findings clearly and answer stakeholder questions effectively.

• Demonstrate Collaboration: Explain how you partnered with various teams (Product, Engineering, Operations) and how your research informed their decisions.

Challenge Preparation:

• Hypothetical Scenario: Be prepared for a hypothetical research challenge, such as evaluating a new internal AI assistant or improving a self-service portal. Outline your approach, including methodologies, potential JTBD framing, and how you'd address AI trust concerns.

• Data Interpretation: You might be asked to interpret sample data or research findings and propose next steps. Focus on actionable insights and strategic recommendations.

• Stakeholder Management Scenarios: Prepare for questions about how you would handle disagreements with stakeholders or communicate challenging research findings.

📝 Enhancement Note: The interview process heavily emphasizes practical application of research skills, strategic thinking, and the ability to influence operational decisions through data. A well-prepared portfolio is crucial for demonstrating suitability for this specialized role.

🛠 Tools & Technology Stack

Primary Tools:

• UX Research Platforms: Proficiency with tools for participant recruitment, moderated/unmoderated user testing, surveys, and analytics. Examples include UserTesting.com, Lookback, Maze, Qualtrics, SurveyMonkey, Google Forms.

• Research Repository/Synthesis Tools: Experience with platforms for organizing, synthesizing, and sharing research insights. Examples include Dovetail, EnjoyHQ, Airtable, or custom solutions.

• Collaboration & Prototyping Tools: Familiarity with tools used by design and product teams for collaboration and feedback. Examples include Figma, Sketch, Adobe XD, Miro, Mural.

• Communication & Project Management: Essential tools for remote work and team coordination. Examples include Slack, Microsoft Teams, Zoom, Google Workspace, Asana, Jira.

Analytics & Reporting:

• Data Analysis Tools: Ability to analyze quantitative data from surveys, analytics platforms, or other sources. Familiarity with tools like Excel, Google Sheets, potentially basic SQL or statistical software if quantitative research is extensive.

• Visualization Tools: Experience creating clear and compelling visualizations to present research findings. Tools like Tableau, Power BI, or even advanced features within presentation software.

CRM & Automation:

• While not a direct CRM or automation specialist role, understanding how internal tools integrate and function within an enterprise ecosystem is beneficial. Familiarity with concepts related to IT Service Management (ITSM) platforms and employee self-service portals is a plus.

📝 Enhancement Note: The role requires proficiency in a range of modern UX research tools and collaborative platforms. The ability to work with data and present insights effectively using various tools is paramount. While not a direct operational role, understanding the landscape of enterprise internal systems is valuable.

👥 Team Culture & Values

Operations Values:

• Efficiency & Productivity: A core value is driving improvements that directly boost workforce productivity and reduce operational friction.

• Data-Driven Decision Making: Emphasizing research-backed insights to inform strategic decisions about internal tooling and AI adoption.

• User Trust & Adoption: A commitment to building user trust in new technologies, especially AI, and ensuring successful adoption of internal systems.

• Collaboration & Partnership: Fostering strong partnerships across Product, Design, Engineering, and Operations to achieve shared goals.

• Continuous Improvement: A mindset focused on iterating and optimizing internal processes and digital workplace experiences based on ongoing research.

Collaboration Style:

• Proactive & Consultative: The researcher is expected to proactively engage with stakeholders, offering insights and guidance on research needs and methodologies.

• Cross-Functional Integration: Seamlessly working within diverse teams, bridging the gap between user needs and technical/operational realities.

• Transparent Communication: Maintaining open and honest communication channels, sharing research plans, findings, and potential challenges.

• Action-Oriented: A focus on translating research into tangible outcomes and actionable recommendations that drive change.

📝 Enhancement Note: The culture likely emphasizes a blend of user advocacy (from UX) and operational effectiveness (from the enterprise client context). Remote collaboration tools and methodologies will be key to successful integration and communication.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Enterprise Complexity: Working within a large enterprise client means dealing with established processes, diverse stakeholder needs, and potentially slower decision-making cycles.

• Ambiguous Research Questions: Addressing complex or ill-defined problems related to employee experience and AI adoption requires strong critical thinking and methodological flexibility.

• Building Trust in AI: Researching AI-enabled solutions necessitates addressing user skepticism, bias concerns, and the need for robust validation strategies.

• Demonstrating ROI: Quantifying the impact of research on productivity, efficiency, and user trust can be challenging but is crucial for demonstrating value.

• Remote Collaboration Dynamics: Maintaining strong relationships and effective communication across distributed teams and time zones requires deliberate effort.

Learning & Development Opportunities:

• AI & Automation Research Specialization: Gaining deep expertise in the unique challenges and opportunities of researching AI-driven employee tools.

• Employee Experience (EX) Domain Mastery: Becoming an expert in the intricacies of internal employee workflows, tools, and satisfaction drivers.

• Strategic Frameworks Expansion: Further developing skills in JTBD and potentially other strategic frameworks that guide product and operational strategy.

• Cross-Functional Acumen: Enhancing understanding of IT operations, service management, and product development lifecycles within a large enterprise.

• Mentorship & Thought Leadership: Opportunities to guide junior researchers and contribute to best practices in research and operational excellence.

📝 Enhancement Note: This role offers significant opportunities for professional growth by tackling complex, forward-looking challenges in AI and employee experience within a structured enterprise environment. The challenges also present clear avenues for developing specialized skills and demonstrating strategic impact.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used the Jobs-to-Be-Done framework to influence product strategy for an internal tool. What was the outcome?" (Prepare a specific case study demonstrating JTBD application and impact on operations.)

• "How would you approach researching user trust in a new AI assistant designed for customer support agents? What methodologies would you employ?" (Focus on identifying potential barriers, validation behaviors, and iterative testing strategies.)

• "Walk us through an end-to-end research project you led for an enterprise internal tool. What were the key challenges, how did you overcome them, and what was the impact on operational efficiency?" (Be ready to detail your process, stakeholder management, and measurable results.) Company & Culture Questions:

• "What are your thoughts on the role of UX research in improving employee experience within a large organization?" (Connect your understanding of UX principles to operational efficiency and productivity.)

• "How do you ensure your research findings are effectively communicated and acted upon by cross-functional teams like Product, Engineering, and Operations?" (Highlight your stakeholder management and storytelling skills.)

• "What interests you most about Inallmedia.com and this specific client project focused on AI integration and internal tools?" (Show genuine interest in the company's mission and the project's strategic importance.) Portfolio Presentation Strategy:

• Focus on Impact: For each project, clearly articulate the "so what?" – how your research led to tangible improvements, cost savings, increased efficiency, or better user adoption.

• Quantify When Possible: If you have metrics (e.g., reduction in support tickets, increase in task completion time, improved user satisfaction scores), present them clearly.

• Showcase JTBD & AI: Dedicate specific slides or talking points to how you applied JTBD and what you learned from researching AI. Discuss how you addressed user concerns about AI reliability and adoption.

• Visual Clarity: Use clean, professional slides with minimal text. Ensure your research artifacts (e.g., key findings summaries, personas if relevant) are easy to understand.

• Practice Your Narrative: Rehearse your presentation to ensure a smooth flow, clear articulation, and confident delivery within the allotted time. Be prepared for follow-up questions.

📝 Enhancement Note: Preparation should focus on showcasing direct experience with JTBD, AI research, and enterprise internal tools, with a strong emphasis on demonstrating how research drives operational improvements and influences strategic decisions.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided application link on Breezy HR.

• Customize Your Resume: Tailor your resume to highlight keywords and responsibilities mentioned in the job description, such as "UX Research," "Jobs-to-Be-Done," "AI Integration," "Employee Experience," "Mixed-method Research," "Enterprise Tools," and "Stakeholder Management." Quantify achievements where possible.

• Prepare Your Portfolio: Curate 2-3 strong case studies that specifically demonstrate your experience with JTBD frameworks, AI/automation research, and enterprise internal tools. Ensure each case study clearly outlines the problem, your role, methodology, insights, recommendations, and impact.

• Practice Your Presentation: Rehearse presenting your portfolio to simulate the interview process. Focus on clearly articulating your process, findings, and the impact of your research, especially concerning operational efficiency and user trust in AI.

• Research Inallmedia.com: Understand the company's mission, their approach to remote teams and technology solutions, and their client engagement model. This will help you tailor your responses and demonstrate genuine interest.

⚠️ 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.