Tech Innovation - UX Researcher - Remote

📍 Job Overview

Job Title: UX Researcher - Tech Innovation

Company: Infomineo

Location: Morocco (Remote)

Job Type: Full-Time

Category: Product Development / User Experience / Data & Analytics

Date Posted: December 11, 2025

Experience Level: Mid-Level (2-5 years)

Remote Status: Fully Remote

🚀 Role Summary

• This role is pivotal in shaping product development through a data-driven, design-thinking approach, focusing on user validation and feature prioritization.

• You will lead end-to-end product validation cycles, from initial discovery workshops to rigorous statistical analysis of user preferences.

• The position requires a blend of strong statistical acumen, proficiency in prototyping tools, and exceptional facilitation skills to drive cross-functional Design Sprints.

• You will act as a critical bridge, translating complex user needs and business strategies into actionable product roadmaps and validated features, ensuring efficient resource allocation.

📝 Enhancement Note: This is not a traditional Revenue Operations or Sales Operations role, but it heavily leverages operational methodologies within a product development context. The focus on process, data analysis, validation, and cross-functional collaboration aligns with core operations principles. The role requires a deep understanding of how user research directly impacts product strategy and, by extension, business outcomes.

📈 Primary Responsibilities

• Lead and facilitate cross-functional Design Sprints and Venture Design sprints, guiding teams through user journey mapping, solution sketching, and Minimum Viable Product (MVP) definition.

• Conduct workshops to uncover deep user pain points and unmet needs, proactively proposing tangible solutions.

• Ensure all identified needs and proposed solutions align with broader company goals and business viability.

• Create low-to-mid fidelity prototypes (wireframes, click-throughs) to visualize potential solutions post-discovery sessions.

• Conduct iterative testing on prototypes to validate ideas before development commences, acting as a gatekeeper for engineering resources.

• Establish rapid feedback loops for daily or weekly product design iteration based on user inputs.

• Design and deploy quantitative surveys to understand feature and product attribute priorities, answering critical questions about value and optimal configuration.

• Utilize advanced methodologies such as Conjoint Analysis, MaxDiff, and Kano Modeling to scientifically rank user preferences.

• Apply inferential statistics to validate findings, calculating statistical significance, confidence intervals, and effect sizes.

• Determine statistical significance (e.g., $p < 0.05$) and clearly articulate the business implications of findings.

• Differentiate between signal and noise to advise on the product roadmap effectively.

• Partner with Product Managers and Development teams to integrate log data with attitudinal survey data.

• Translate quantitative insights into actionable product improvements for Product Managers.

• Democratize data by creating accessible dashboards and reports for stakeholders.

📝 Enhancement Note: The emphasis on "end-to-end product validation," "prototyping before execution," and "statistical methods to prioritize features" indicates a highly process-driven approach to product development, mirroring the rigor found in operations roles focused on efficiency and ROI.

🎓 Skills & Qualifications

Education:

Experience:

Required Skills:

• Prototyping Tools: Proficiency in Figma or similar tools for creating testable artifacts.

• Statistical Tools: Strong command of statistical analysis languages/environments such as Python (pandas, NumPy, SciPy) or R.

• Statistical Knowledge: Deep understanding and practical application of parametric and non-parametric statistical tests, inferential statistics, and hypothesis testing.

• Survey Platforms: Expertise in using survey platforms like Qualtrics, SurveyMonkey, Typeform, or equivalent for quantitative research design and deployment.

• Data Manipulation: SQL skills for querying databases and preparing data for analysis and dashboard creation.

• Facilitation: Proven ability to lead Design Sprints and workshops, guide cross-functional teams through ambiguity, and command a room effectively.

• Data Storytelling: Exceptional ability to translate complex statistical concepts into clear, human-centric narratives that drive decision-making.

• Critical Thinking: A healthy skepticism towards data, with the ability to identify potential biases, data quality issues, and ensure the rigor of findings.

Preferred Skills:

• Experience with advanced quantitative methodologies like Conjoint Analysis, MaxDiff, and Kano Modeling.

• Familiarity with A/B testing frameworks and experimental design principles.

• Experience in creating and maintaining dashboards using tools like Tableau, Power BI, or Looker.

• Understanding of Agile and Lean product development methodologies.

• Experience working with AI-enhanced products or in an AI-driven research environment.

📝 Enhancement Note: The explicit requirement for SQL, Python/R, statistical testing, and advanced methodologies like Conjoint Analysis highlights a need for a candidate with a strong analytical and operational mindset, capable of implementing rigorous processes for product validation and prioritization.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate a clear process for user research, from planning and recruitment to execution and synthesis of findings.

• Showcase examples of how your research directly informed product design decisions and led to measurable improvements or validated concepts.

• Include case studies detailing the use of quantitative methods for feature prioritization and user preference analysis.

• Highlight instances where you created prototypes and conducted iterative testing to validate ideas before development.

Process Documentation:

• Detail your approach to planning and executing Design Sprints, including pre-sprint preparation, in-sprint facilitation, and post-sprint action planning.

• Explain your methodology for designing quantitative surveys, selecting appropriate statistical tests, and interpreting results with business context.

• Illustrate your process for creating and iterating on low-to-mid fidelity prototypes based on user feedback.

• Document your strategies for integrating qualitative and quantitative data to form a holistic understanding of user needs and product performance.

📝 Enhancement Note: For a UX Researcher role with such a strong quantitative and process focus, a portfolio is crucial. It should not just show the what but the how and why behind the research processes employed, demonstrating a systematic and impact-driven approach akin to operations roles.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Competitive salary and benefits package.

• Opportunity to lead and shape the development of a critical internal tool, offering significant impact.

• A collaborative and innovative work environment fostering continuous learning.

• Professional development and career growth opportunities within a pioneering AI-enhanced research company.

Working Hours:

• Standard full-time hours, typically around 40 hours per week.

• The remote nature of the role offers flexibility in scheduling, allowing for efficient management of research sprints and data analysis tasks.

📝 Enhancement Note: The salary is an estimate based on typical compensation for mid-level UX Researchers in markets with a developed tech sector, adjusted for the Moroccan economic context. Specific benefits beyond those listed may be available and should be confirmed during the interview process.

🎯 Team & Company Context

🏢 Company Culture

Industry: AI-Enhanced Research, Data Advisory, Business Intelligence, Consulting Services.

Company Size: Infomineo has 350+ industry experts spread across 5 offices, indicating a significant mid-to-large size company with a global reach.

Founded: Founded with a vision to evolve traditional research, Infomineo positions itself as a modern, AI-driven strategic partner. Its evolution from outsourcing to strategic partnership highlights a culture of innovation and adaptation.

Team Structure:

• The UX Researcher will likely be part of a Product team, working closely with Product Managers, Engineers, and Designers.

• This team operates within a broader Product organization that supports Infomineo's core services: AI and Data Advisory, Next-Gen Insights, and Resource Scaling.

Methodology:

• Data-Driven Discovery: Emphasis on "clear data" and "solid engineering" to solve real problems.

• Scientific Method in Practice: "Build, measure, learn, and iterate" is a core principle, encouraging experimentation and learning from outcomes.

• Agile & Collaborative: Fast-paced sprints where engineering, design, and product teams work at the same table.

• AI Integration: Leveraging proprietary AI orchestrators and advanced technologies to enhance research and insights.

Company Website: https://infomineo.com/

📝 Enhancement Note: Infomineo's culture is presented as forward-thinking, embracing AI, data, and a scientific approach to problem-solving. This environment is ideal for professionals who thrive on innovation, continuous learning, and making a tangible impact.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as a Mid-Level UX Researcher, with 2-5 years of experience. It offers an opportunity to take ownership of the end-to-end validation process, moving beyond task execution to strategic influence.

Reporting Structure: The UX Researcher will report into a Product Management or Product Development lead. They will collaborate closely with Product Managers, Engineers, and Designers, functioning as a key member of agile product squads.

Operations Impact: In this role, your work directly influences product strategy, feature prioritization, and resource allocation. By ensuring that only validated, high-value features are built, you contribute significantly to product success, market fit, and ultimately, the company's revenue potential through improved product offerings.

Growth Opportunities:

• Specialization: Develop deep expertise in advanced quantitative research methodologies (Conjoint, MaxDiff, Kano) and their application in product development.

• Leadership: Grow into a senior UX Researcher role, leading research initiatives for larger product areas, mentoring junior researchers, and influencing product strategy at a higher level.

• Cross-Functional Expertise: Gain exposure to AI, data advisory, and consulting services, potentially transitioning into Product Management or specialized analytics roles.

• Technical Skill Advancement: Enhance proficiency in Python, R, SQL, and advanced statistical modeling.

📝 Enhancement Note: The role offers a clear path for growth within product development, blending technical research skills with strategic product thinking. The emphasis on "impact from day one" and "growth-oriented environment" suggests a company that invests in employee development and provides opportunities for advancement.

🌐 Work Environment

Office Type: Fully Remote. This allows for a flexible work environment, eliminating commute time and offering greater autonomy over the workday.

Office Location(s): While the role is remote, Infomineo has offices in Cairo, Casablanca, Mexico City, Dubai, and Barcelona, suggesting a global presence and a diverse, international team. The primary requirement for this role is based in Morocco.

Workspace Context:

• Collaborative Environment: Despite being remote, the culture emphasizes collaboration through fast-paced sprints and cross-functional team "tables." This implies a strong reliance on digital collaboration tools and effective communication.

• Tools & Technology: Access to a cutting-edge tech stack, including advanced statistical modeling tools, AI platforms, and modern development/design software.

• Team Interaction: Regular interaction with product, engineering, and design teams through virtual meetings, sprint ceremonies, and collaborative platforms.

Work Schedule:

• Standard full-time (approx. 40 hours/week).

• Flexibility is a key aspect of remote work, allowing for efficient personal workflow management while meeting team and project deadlines. This is particularly beneficial for managing research sprints and data analysis tasks.

📝 Enhancement Note: The fully remote nature, combined with a collaborative culture and access to modern tools, creates an environment conducive to focused work and professional development for operations-minded individuals.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: Review of CV and cover letter, focusing on relevant experience in UX research, statistics, and product development.

• Technical Assessment/Case Study: A practical exercise or case study will likely be provided to assess your skills in areas like survey design, statistical analysis, prototyping, or a mini Design Sprint simulation. This is where your portfolio will be invaluable.

• Behavioral & Situational Interviews: Questions designed to assess your problem-solving skills, collaboration style, data storytelling abilities, critical thinking, and how you handle ambiguity.

• Team/Hiring Manager Interview: Deeper dive into your experience, motivations, and cultural fit with Infomineo's innovative and data-driven environment.

Portfolio Review Tips:

• Structure for Operations Lens: Organize your portfolio to clearly articulate the process you followed for each project. Start with the problem or hypothesis, detail your methodology (research design, tools used, statistical approach), present your findings, and conclude with the impact or outcome.

• Quantify Impact: For each project, highlight measurable results. Did your research lead to increased user engagement, reduced churn, improved conversion rates, or a more efficient development process? Use metrics to demonstrate ROI.

• Showcase Statistical Rigor: For quantitative projects, clearly explain the statistical methods used (e.g., significance testing, confidence intervals, specific modeling techniques) and demonstrate your ability to interpret these results in a business context.

• Demonstrate Facilitation Skills: If possible, include examples or descriptions of how you led workshops or Design Sprints, highlighting your ability to guide diverse teams towards consensus and actionable outcomes.

• Tool Proficiency: Clearly indicate the tools you used (Figma, Python, R, Qualtrics, SQL) within your project descriptions.

Challenge Preparation:

• Understand the Infomineo Context: Research Infomineo's services (AI Advisory, Insights, Resource Scaling) and their focus on AI-enhanced research. Consider how UX research contributes to these areas.

• Practice Data Storytelling: Be ready to explain complex statistical findings to non-technical stakeholders. Practice articulating the "so what?" of your data.

• Prepare for Design Sprint Scenarios: Think about how you would approach a hypothetical Design Sprint for a new AI-driven research tool or feature.

• Articulate your Process: Be ready to walk through your research process for a selected portfolio project, explaining why you chose specific methods and tools.

📝 Enhancement Note: The interview process will likely focus heavily on practical application of research skills, statistical understanding, and process-driven problem-solving, aligning with operational expectations for efficiency and measurable outcomes.

🛠 Tools & Technology Stack

Primary Tools:

• Prototyping: Figma (or similar) for creating wireframes, mockups, and interactive prototypes.

• Statistical Analysis: Python (with libraries like pandas, NumPy, SciPy), R, or SPSS for quantitative data analysis, hypothesis testing, and modeling.

• Survey Platforms: Qualtrics, SurveyMonkey, Typeform, or similar for designing, deploying, and managing quantitative surveys.

• Data Manipulation: SQL for querying databases, extracting data, and preparing datasets for analysis.

Analytics & Reporting:

• Data Visualization: Tools like Tableau, Power BI, or Looker for creating dashboards and reports to communicate insights to stakeholders.

• Log Data Analysis: Potential use of tools to analyze user behavior data from product logs.

CRM & Automation:

• While not directly CRM-focused, understanding how user feedback integrates with product management workflows and potentially CRM data for customer segmentation might be beneficial.

• Familiarity with agile project management tools (e.g., Jira, Asana) for sprint planning and task tracking.

📝 Enhancement Note: Proficiency in these tools is critical. For operations professionals, this stack represents the core analytical and visualization toolkit for understanding user behavior and product performance. The ability to use SQL and statistical programming languages is particularly important.

👥 Team Culture & Values

Operations Values:

• Data-Driven Decision Making: A core tenet, emphasizing the use of clear data and rigorous statistical analysis to guide all product decisions.

• Innovation & Experimentation: A culture that encourages trying new approaches, learning from failures, and iterating rapidly.

• Impact & Ownership: Employees are expected to make an impact from day one and take ownership of their work, contributing directly to live products and business outcomes.

• Collaboration & Agility: Working effectively in fast-paced, cross-functional teams where open communication and shared problem-solving are paramount.

• Continuous Learning: An environment that invests in employee potential and encourages growth through mentorship and exposure to cutting-edge technologies.

Collaboration Style:

• Cross-Functional Integration: Engineers, designers, and product managers work together at the same table, fostering seamless communication and joint problem-solving.

• Scientific Method Application: Collaborative approach to hypothesis generation, experimentation, measurement, and iteration.

• Knowledge Sharing: Encouragement to democratize data through accessible dashboards and reports, making insights available to a wider audience.

📝 Enhancement Note: The values emphasize a pragmatic, analytical, and forward-thinking approach, aligning well with the mindset of operations professionals who prioritize efficiency, data integrity, and measurable results.

⚡ Challenges & Growth Opportunities

Challenges:

• Bridging Qualitative and Quantitative Data: Effectively integrating insights from Design Sprints and user interviews with rigorous statistical analysis to form a cohesive understanding.

• Translating Technical Findings: Communicating complex statistical concepts and their business implications clearly to diverse stakeholders, including non-technical teams.

• Prioritizing with Limited Resources: Making robust recommendations for feature prioritization when development resources are constrained, ensuring the most impactful features are addressed first.

• Navigating Ambiguity: Leading Design Sprints and uncovering user needs in areas that may be nascent or rapidly evolving, requiring adaptability and strong facilitation skills.

Learning & Development Opportunities:

• Advanced Statistical Training: Deepen expertise in specific quantitative methodologies like Conjoint Analysis, MaxDiff, and Kano Modeling through hands-on application and potential further training.

• Product Strategy Influence: Gain experience in shaping product roadmaps and influencing strategic decisions based on user research insights.

• AI & Tech Stack Exposure: Work directly with Infomineo's proprietary AI orchestrator and a cutting-edge tech stack, enhancing technical skills.

• Mentorship: Benefit from guidance from senior leaders within a growth-oriented environment, fostering development towards leadership roles.

📝 Enhancement Note: The challenges presented are typical for a role that sits at the intersection of research, strategy, and execution, requiring strong analytical and communication skills. The growth opportunities are substantial for those looking to advance in product development and analytics.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used quantitative data to significantly influence a product decision. What methodology did you use, and what was the outcome?" (Focus on Conjoint, MaxDiff, or survey-based prioritization).

• "Walk me through your process for planning and facilitating a Design Sprint. What are the key challenges, and how do you ensure a productive outcome?" (Highlight your facilitation skills and process management).

Company & Culture Questions:

• "How do you see UX Research contributing to Infomineo's AI-enhanced research services and data advisory offerings?" (Show your understanding of the company's business).

• "How do you handle situations where user feedback conflicts with perceived business needs or technical feasibility?" (Assess your critical thinking and problem-solving).

Portfolio Presentation Strategy:

• Select High-Impact Projects: Choose 2-3 projects that best showcase your quantitative skills, Design Sprint facilitation, and ability to drive product decisions with data.

• Structure Your Narrative: For each project, follow a clear story: Problem -> Your Process (Methodology, Tools, Stats) -> Findings -> Impact/Outcome.

• Quantify Everything Possible: Use numbers and metrics to demonstrate the value and impact of your work. For example, "Our research identified feature X as the highest priority, leading to a projected Y% increase in user adoption."

• Be Ready for Deep Dives: Anticipate questions about your statistical choices, survey design, and how you interpreted specific results. Be prepared to defend your methodology.

• Showcase Tool Proficiency: Clearly articulate the role each tool played in your process.

📝 Enhancement Note: Interview preparation should focus on demonstrating a systematic, data-driven, and impact-oriented approach, akin to how operations professionals tackle complex problems and drive efficiency.

📌 Application Steps

To apply for this UX Researcher position:

• Submit your application through the provided link on Workable.

• Tailor Your Resume: Highlight keywords from the job description, such as "UX Research," "Statistical Analysis," "Design Sprints," "Prototyping," "Figma," "Python," "SQL," "Qualtrics," and "Inferential Statistics." Quantify your achievements with metrics wherever possible.

• Prepare Your Portfolio: Ensure your portfolio is readily accessible (e.g., via a personal website or shared cloud link) and showcases your most relevant projects, clearly detailing your process, methodologies, and impact.

• Research Infomineo: Understand their services, AI focus, and company culture. Prepare to discuss how your skills align with their mission.

• Practice Your Data Storytelling: Rehearse explaining complex analytical findings and research processes in a clear, concise, and impactful manner, anticipating questions about your statistical rigor and problem-solving approach.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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