Tech Innovation - UX Researcher - Cairo

📍 Job Overview

Job Title: UX Researcher - Tech Innovation
Company: Infomineo
Location: Cairo, Egypt
Job Type: Full-Time
Category: Product & Design Operations
Date Posted: December 16, 2025
Experience Level: 2-5 Years
Remote Status: On-site

🚀 Role Summary

• This role is a critical component of the Product team, focusing on the discovery, validation, and design phases of product development within a tech-focused, AI-enhanced research company.
• The UX Researcher will be instrumental in bridging user needs, business strategy, and development efforts, ensuring the creation of high-value, validated products.
• The position involves leading cross-functional initiatives like Design Sprints and utilizing advanced statistical methodologies for feature prioritization and product attribute analysis.
• This role requires a blend of design thinking, rigorous statistical analysis, and strong collaborative skills to drive impactful product outcomes.

📝 Enhancement Note: While the original listing is for a "Tech Innovation - UX Researcher," the description heavily emphasizes product development, validation, and statistical analysis for feature prioritization, aligning it more closely with a "Product Operations" or "Design Operations" function within a tech company, rather than a pure UX research role focused solely on user experience. The emphasis on "end-to-end product validation" and "shaping the solution" suggests a broader scope.

📈 Primary Responsibilities

• Lead and facilitate cross-functional Design Sprints and Venture Design sprints to map user journeys, brainstorm solutions, and define Minimum Viable Products (MVPs).
• Conduct workshops to uncover deep user pain points and unmet needs, moving beyond problem identification to propose tangible, data-informed solutions.
• Create low-to-mid fidelity prototypes (wireframes, click-throughs) to visualize potential solutions and conduct iterative testing to validate concepts before development.
• Design and deploy quantitative surveys utilizing methodologies like Conjoint Analysis, MaxDiff, and Kano Modeling to scientifically rank feature and product attribute priorities.
• Apply inferential statistics (e.g., p-values, confidence intervals, effect sizes) to validate findings and determine statistical significance, differentiating signal from noise for roadmap recommendations.
• Collaborate closely with Product Managers and Development teams to integrate log data with attitudinal survey data, translating quantitative insights into actionable product improvements.
• Democratize data insights by creating accessible dashboards and reports for stakeholders, fostering a data-driven decision-making culture.
• Ensure all sprint outcomes and proposed solutions align with broader company goals, business viability, and strategic objectives.
• Establish rapid feedback loops for daily or weekly iteration on product design based on user inputs and testing results.
• Act as a gatekeeper to ensure engineering resources are focused on validated, high-value concepts, preventing wasted effort on unproven ideas.

📝 Enhancement Note: The responsibilities highlight a significant emphasis on quantitative validation and statistical rigor, going beyond traditional UX research. The role is framed as an end-to-end product validation owner, integrating discovery, prototyping, and data-driven prioritization.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Statistics, Marketing, Psychology, Human-Computer Interaction, or a related quantitative or design-oriented field.

Experience:

• 2-5 years of experience within product teams, with a strong focus on user research, product validation, and data analysis.
• Proven experience in facilitating Design Sprints or similar innovation workshops.
• Demonstrated experience in creating and testing low-to-mid fidelity prototypes.

Required Skills:

• Prototyping Tools: Proficiency in Figma, Adobe XD, Sketch, or similar tools to create testable artifacts.
• Statistical Tools: Strong proficiency in statistical analysis using Python (pandas, NumPy, SciPy), R, or SPSS.
• Statistical Knowledge: Deep understanding and practical application of parametric and non-parametric statistical tests, inferential statistics, and hypothesis testing.
• Survey Platforms: Expertise with survey platforms such as Qualtrics, SurveyMonkey, Typeform, or Google Forms for designing and deploying quantitative research.
• Data Manipulation: Solid SQL skills for querying databases, extracting data, and building foundational dashboards.
• Facilitation: Exceptional ability to lead and command a room, guide cross-functional teams through ambiguity, and run productive Design Sprints and workshops.
• Data Storytelling: The ability to translate complex statistical concepts and research findings into clear, concise, and human-centric narratives that drive decision-making.
• Critical Thinking: A healthy skepticism of data; ability to identify "dirty" data, check for bias, and rigorously evaluate research findings.

Preferred Skills:

• Experience with advanced statistical modeling techniques such as Conjoint Analysis, MaxDiff, and Kano Modeling.
• Familiarity with agentic AI, Kubernetes orchestration, or other cutting-edge tech stack components.
• Experience in creating and maintaining accessible dashboards for stakeholders using tools like Tableau, Power BI, or similar.
• Understanding of Agile and Scrum methodologies as they apply to product development cycles.
• Knowledge of user journey mapping and persona development.

📝 Enhancement Note: The requirements emphasize a unique blend of UX research, product management, and statistical analysis skills. The explicit mention of specific statistical methodologies (Conjoint, MaxDiff, Kano) and programming languages (Python, R) indicates a high bar for quantitative rigor.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 2-3 detailed case studies demonstrating end-to-end product validation projects.
• Each case study should clearly articulate the problem statement, user needs identified, research methodologies employed (both qualitative and quantitative), and the resulting solutions or product iterations.
• Provide evidence of quantitative prioritization, ideally including examples of survey design, data analysis, and how statistical findings influenced feature roadmaps or product configurations.
• Include examples of prototypes created (e.g., Figma links or screenshots) and descriptions of the iterative testing and feedback loops used.
• Demonstrate a clear link between user insights, business strategy, and the final product impact, quantifying results where possible (e.g., user adoption, conversion rates, feature usage).

Process Documentation:

• Clearly outline the process followed for conducting Design Sprints, from planning and participant selection to facilitation techniques and outcome synthesis.
• Detail the methodology for creating and validating prototypes, including the types of fidelity used and the approach to rapid iteration based on feedback.
• Explain the systematic approach to designing and deploying quantitative surveys, including sampling strategies, question design, and statistical analysis plans.
• Describe how statistical significance and business implications were communicated to stakeholders, including examples of reports or presentations.

📝 Enhancement Note: For a role with such a strong quantitative and validation focus, a portfolio is crucial. The emphasis should be on demonstrating a systematic, data-driven approach to product development and validation, with clear evidence of impact.

💵 Compensation & Benefits

Salary Range:

• Based on industry benchmarks for UX Researchers with 2-5 years of experience in Cairo, Egypt, and considering the specialized quantitative and statistical skills required, a competitive salary range would likely be between EGP 250,000 - EGP 450,000 annually. This estimate accounts for the cost of living in Cairo, the demand for skilled professionals in the tech and data analytics space, and the specific expertise sought by Infomineo.

Benefits:

• Competitive salary and benefits package.
• Opportunity to lead and shape the development of critical internal tools.
• Collaborative and innovative work environment with a focus on AI and cutting-edge technology.
• Professional development and career growth opportunities, including mentorship from senior leaders.
• Exposure to diverse industries and regions through Infomineo's global client base.
• A culture that values intellectual vitality, creativity, and continuous learning.

Working Hours:

• Standard full-time working hours, likely around 40 hours per week, with potential for flexibility given the agile and collaborative nature of the team. The focus is on impact and delivering results within established project timelines.

📝 Enhancement Note: Salary is an estimate based on typical ranges for similar roles in Cairo, Egypt, factoring in the specialized skills. Benefits are extracted directly from the job description.

🎯 Team & Company Context

🏢 Company Culture

Industry: Information Services, AI & Data Advisory, Business Research Outsourcing. Infomineo operates at the intersection of AI, data science, and human expertise, providing intelligence to consulting firms, Fortune 500 companies, and government entities. Company Size: Infomineo has a significant global presence with 350+ industry experts spread across 5 offices, indicating a mid-to-large sized organization with a distributed workforce. Founded: The company's founding date is not explicitly stated, but its evolution from traditional research outsourcing to AI-enhanced solutions suggests a modern, forward-thinking organization.

Team Structure:

• The UX Researcher will join the Product team, working in close collaboration with Product Managers and Development teams.
• The role emphasizes cross-functional collaboration, suggesting a flat or matrixed organizational structure where teams work together on specific projects and initiatives.
• Mentorship from senior leaders is available, indicating a hierarchical element for guidance and career development.

Methodology:

• Data-Driven Product Development: The company embraces a culture of experimentation, using the scientific method (build, measure, learn, iterate) to drive product decisions.
• AI Integration: Infomineo leverages proprietary AI orchestrators and advanced technologies like agentic AI and statistical modeling.
• Agile & Collaborative: Work is organized in fast-paced sprints where engineering, design, and product teams collaborate closely.
• Human Expertise: A blend of AI capabilities with deep human expertise from 350+ industry professionals is a core pillar.

Company Website: https://collective.work/

📝 Enhancement Note: The company culture is described as builder-oriented, experimental, and focused on impact from day one, with a commitment to cutting-edge technology and growth. This is crucial context for a UX Researcher looking to influence product development.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned as an experienced individual contributor (2-5 years) within the Product team, with a strong focus on specialized UX research and quantitative validation. It's a hands-on role with significant autonomy in shaping product discovery and validation processes.

Reporting Structure: The UX Researcher will likely report to a Product Lead, Head of Product, or a Senior UX Researcher, working closely with Product Managers and engineering leads. The emphasis on cross-functional collaboration means interaction with multiple stakeholders.

Operations Impact: The UX Researcher's work directly impacts business outcomes by ensuring that product development efforts are focused on validated user needs and strategic priorities. By preventing the development of unproven concepts and optimizing feature prioritization, this role contributes to efficient resource allocation, faster time-to-market for valuable features, and ultimately, greater product-market fit and revenue generation.

Growth Opportunities:

• Specialization: Deepen expertise in advanced statistical methodologies for product research and quantitative validation.
• Leadership: Transition into Product Management roles, leading product strategy and execution, or move into Senior UX Researcher or UX Lead positions.
• Technical Proficiency: Gain hands-on experience with cutting-edge technologies like agentic AI and advanced data infrastructure.
• Cross-Functional Leadership: Develop skills in leading cross-functional innovation sprints and influencing product roadmaps across different business units.
• Mentorship: Benefit from mentorship from senior leaders, fostering growth into technical or non-technical leadership roles.

📝 Enhancement Note: The role offers a clear path for growth from an experienced individual contributor to leadership positions, especially within product development and data-driven decision-making. The emphasis on advanced statistical skills provides a niche specialization.

🌐 Work Environment

Office Type: The role is on-site in Cairo, Egypt, suggesting a traditional office environment designed for collaborative work. The description of the company culture ("builders and learners at heart," "agile & collaborative," "engineering, design, and product sit at the same table") points towards a dynamic and interactive workspace.

Office Location(s): Cairo, Egypt. Specific office details are not provided, but it's implied to be a central hub for the company's operations in the region.

Workspace Context:

• Collaborative Environment: The emphasis on "fast-paced sprints where engineering, design, and product sit at the same table" indicates a highly collaborative physical workspace.
• Tools & Technology: Professionals will work with modern tech stacks, including tools for prototyping (Figma), statistical analysis (Python, R), data manipulation (SQL), and potentially advanced AI/ML platforms.
• Team Interaction: Opportunities for direct interaction and brainstorming with product managers, engineers, and other designers are inherent in the work model.

Work Schedule: Standard full-time hours (approximately 40 hours/week) are expected, but the agile nature of the work may allow for some flexibility, prioritizing sprint goals and deliverables.

📝 Enhancement Note: The on-site requirement and emphasis on collaborative team dynamics suggest a hands-on, interactive work environment where in-person communication and brainstorming are valued.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and portfolio to assess alignment with the role's requirements, particularly your experience in UX research, statistical analysis, and prototyping.
• Technical/Skills Assessment: This may involve a practical exercise or case study focusing on a product validation scenario, requiring you to outline research plans, design surveys, or analyze mock data. Expect questions on statistical methodologies and prototyping tools.
• Behavioral & Situational Interviews: Discussions to assess your critical thinking, data storytelling abilities, facilitation skills, and how you handle ambiguity and collaboration. You'll likely discuss past projects and how you navigated challenges.
• Cross-Functional Interview: An opportunity to meet with Product Managers and/or Engineers to evaluate your ability to collaborate effectively and translate insights into actionable product decisions.
• Final Round: Potentially with senior leadership to discuss strategic alignment, career aspirations, and cultural fit.

Portfolio Review Tips:

• Structure Your Case Studies: For each project, clearly define: the problem, your role, the user research process (qualitative and quantitative), key findings, the solutions/prototypes developed, validation methods used, and the impact/outcomes achieved.
• Highlight Quantitative Rigor: Explicitly showcase your use of statistical methods (Conjoint, MaxDiff, Kano, hypothesis testing) and how you translated statistical significance into business recommendations. Include examples of survey design and data analysis outputs.
• Demonstrate Prototyping Skills: Include visuals of your wireframes, mockups, or interactive prototypes. Explain the iteration process and how user feedback shaped the design.
• Quantify Impact: Whenever possible, use metrics to demonstrate the value of your work. If direct metrics aren't available, articulate the potential business impact based on your findings.
• Tell a Story: Present your work as a narrative, guiding the interviewer through your thought process and decision-making at each stage.

Challenge Preparation:

• Design Sprint Simulation: Be prepared to outline how you would plan and facilitate a Design Sprint for a given product problem.
• Quantitative Analysis Scenario: You might be given a dataset or a survey scenario and asked to identify key findings, statistical significance, and product implications.
• Problem-Solving: Practice breaking down complex user problems and proposing validated, data-driven solutions.

📝 Enhancement Note: The interview process is designed to assess both technical proficiency in UX research and statistical analysis, as well as soft skills like facilitation and communication. A strong, well-documented portfolio is essential.

🛠 Tools & Technology Stack

Primary Tools:

• Prototyping & Design: Figma (primary), Adobe XD, Sketch. Users are expected to create low-to-mid fidelity prototypes and visualizations.
• Statistical Analysis: Python (pandas, NumPy, SciPy), R, SPSS. Proficiency is required for quantitative analysis, hypothesis testing, and advanced modeling.
• Survey Platforms: Qualtrics, SurveyMonkey, Typeform, Google Forms. Essential for designing, distributing, and collecting data from quantitative surveys.
• Data Manipulation: SQL for querying databases and extracting data for analysis and dashboard creation.

Analytics & Reporting:

• Dashboarding Tools: Potentially Tableau, Power BI, or similar for creating accessible stakeholder reports and visualizations, though not explicitly stated as required.
• Internal Tools: Opportunity to work with and shape the development of internal tools, potentially including Odoo (as mentioned in benefits).

CRM & Automation:

• While not explicitly mentioned, familiarity with CRM systems (like Salesforce) and automation tools could be beneficial for understanding user data context, but are not core requirements for this specific role.

📝 Enhancement Note: The technology stack is heavily skewed towards quantitative research and design validation tools. Proficiency in Figma, SQL, and at least one statistical programming language (Python or R) is non-negotiable.

👥 Team Culture & Values

Operations Values:

• Builders & Learners: A proactive mindset focused on creating and continuously improving products and processes.
• Impact-Driven: Emphasis on delivering tangible results and directly shaping live products and business outcomes.
• Experimentation & Data-Driven: A commitment to the scientific method, using data and iterative testing to inform decisions and drive innovation.
• Agile & Collaborative: Working in fast-paced sprints with close collaboration across engineering, design, and product teams.
• Intellectual Vitality & Creativity: Valuing innovative thinking, problem-solving, and a curious approach to challenges.

Collaboration Style:

• Cross-Functional Integration: Engineering, design, and product teams work together at the same table, fostering seamless communication and shared ownership.
• Process Review & Feedback: An environment that encourages iterative development and utilizes feedback loops for continuous improvement.
• Knowledge Sharing: The culture supports learning from diverse professional experiences and leveraging collective intelligence to solve complex problems.

📝 Enhancement Note: The company culture strongly emphasizes innovation, data-driven decision-making, and intense collaboration, which are vital for a UX Researcher aiming to influence product strategy.

⚡ Challenges & Growth Opportunities

Challenges:

• Bridging Qualitative and Quantitative: Effectively integrating insights from qualitative user research with rigorous quantitative data analysis to form a cohesive understanding of user needs and product opportunities.
• Data Interpretation & Communication: Translating complex statistical findings into clear, actionable insights for non-technical stakeholders, ensuring buy-in and informed decision-making.
• Balancing Speed and Rigor: Maintaining the speed required in agile sprints while ensuring the statistical rigor necessary for validated product decisions.
• Prioritization Conflicts: Navigating differing opinions on feature prioritization and using data-driven arguments to guide roadmap decisions.

Learning & Development Opportunities:

• Advanced Statistical Techniques: Opportunities to master and apply cutting-edge statistical methodologies for product research.
• AI & Tech Stack Exposure: Hands-on experience with AI-enhanced tools and modern tech stacks, fostering technical growth.
• Product Strategy Influence: Developing skills in shaping product roadmaps and influencing strategic decisions based on user research and data.
• Leadership Development: Pathways to move into senior contributor, team lead, or product management roles through mentorship and project ownership.
• Cross-Industry Experience: Gaining exposure to diverse industries and business challenges through Infomineo's global client base.

📝 Enhancement Note: The role presents unique challenges at the intersection of UX, statistics, and product strategy, offering significant opportunities for professional growth and specialization.

💡 Interview Preparation

Strategy Questions:

• How would you approach designing a Design Sprint to identify unmet needs for a new AI-powered research tool? What metrics would you track for success?
• Describe a time you used quantitative data (e.g., survey results, A/B test data) to significantly influence a product decision. What statistical methods did you employ, and how did you communicate your findings?
• How do you balance the need for rapid prototyping and iteration with the requirement for statistical rigor in validating product features?
• Walk me through your process for identifying and prioritizing features for a product. How would you use methodologies like Conjoint Analysis or Kano Modeling in this process?

Company & Culture Questions:

• What interests you most about Infomineo's approach to AI-enhanced research and its blend of human expertise and technology?
• How do you see your skills in data storytelling and critical thinking contributing to our culture of experimentation and impact?
• Describe your ideal collaborative environment when working with product managers and engineers.

Portfolio Presentation Strategy:

• Start with the Problem: Clearly articulate the business or user problem your case study addresses.
• Show Your Process: Detail your research methodology, emphasizing both qualitative discovery and quantitative validation. For quantitative work, explain the survey design, statistical tests used, and key findings with significance levels.
• Visualize Your Solutions: Present prototypes or design iterations clearly, explaining the rationale behind design choices based on research.
• Quantify Impact & Insights: Use charts, graphs, and clear metrics to demonstrate the impact of your work or the insights gained. Explain the business implications of your findings.
• Concise & Focused: Be prepared to walk through your portfolio efficiently, highlighting the most relevant projects and achievements for this specific role.

📝 Enhancement Note: Interview preparation should focus on demonstrating a strong understanding of both UX principles and advanced statistical analysis, with a proven ability to translate data into actionable product strategies.

📌 Application Steps

To apply for this UX Researcher position:

• Submit your application through the provided link on join.com.
• Curate Your Portfolio: Ensure your portfolio prominently features projects demonstrating your end-to-end product validation process, with a strong emphasis on quantitative research, statistical analysis (including methodologies like Conjoint/MaxDiff/Kano), and prototyping.
• Tailor Your Resume: Highlight keywords related to UX Research, Statistical Analysis, Prototyping, Design Sprints, Python, R, SQL, and data storytelling. Quantify achievements wherever possible to showcase impact.
• Prepare for Case Studies: Practice outlining research plans, designing surveys, and interpreting statistical data for hypothetical product scenarios. Be ready to discuss your approach to facilitation and data-driven decision-making.
• Research Infomineo: Understand their AI-enhanced research model, their client base, and their company culture. Prepare to articulate how your skills and values align with their mission.

⚠️ 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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