UX Researcher

📍 Job Overview

Job Title: UX Researcher

Company: McAfee

Location: Waterloo, Ontario, Canada (Hybrid) / Remote (Ontario, Canada)

Job Type: Full-Time

Category: User Experience Research / Product Development

Date Posted: August 04, 2026

Experience Level: Mid-Level (4+ Years)

Remote Status: Hybrid / Remote (within commutable distance to Waterloo or Toronto)

🚀 Role Summary

• Drive product innovation and user-centric design by conducting impactful UX research and translating complex data into actionable insights.

• Collaborate cross-functionally with designers, product managers, and data scientists to influence product strategy and enhance user experiences across McAfee's consumer security solutions.

• Design and execute a mix of qualitative and quantitative research methodologies, including prototype testing, usability studies, and user interviews, to validate design assumptions and identify friction points.

• Contribute to customer experience measurement programs, analyze user journeys and conversion funnels, and ensure the reliability and significance of research findings through statistical methods.

📝 Enhancement Note: While this role is for a UX Researcher, the integration of statistical methods, data analysis tools (R, Python, Excel), and the focus on user journeys and conversion funnels strongly align with the analytical and process-driven aspects often found in Revenue Operations (RevOps) and Sales Operations (Sales Ops) roles that leverage user behavior data to optimize the customer lifecycle. This role requires a data-centric approach to understanding user interactions, which can be a valuable transferable skill for operations professionals.

📈 Primary Responsibilities

• Plan, design, and conduct lightweight prototype testing to evaluate design assumptions and mitigate risks before development cycles.

• Apply statistical methods to interpret research findings, ensuring the reliability and significance of results for data-driven decision-making.

• Support and execute customer experience measurement programs, including survey design, data quality monitoring, and longitudinal reporting to track user sentiment and behavior over time.

• Collaborate with researchers, analysts, and data scientists to triangulate findings across diverse data sources, providing a holistic view of user behavior.

• Design and execute light qualitative studies, such as user interviews and usability tests, to complement and deepen quantitative insights.

• Analyze user journeys and conversion funnels to identify critical friction points and areas for optimization to improve user engagement and task completion rates.

• Translate complex quantitative and qualitative data into clear, concise, and actionable recommendations that directly influence product design and strategic direction.

• Foster alignment and effective communication within the UX research team and with cross-functional stakeholders, including product managers, designers, and engineers.

📝 Enhancement Note: The emphasis on analyzing user journeys, conversion funnels, and identifying friction points is highly relevant to RevOps and Sales Ops, as these are core activities for optimizing the customer lifecycle, sales pipeline, and marketing-to-sales handoff. The requirement to translate complex data into actionable recommendations directly mirrors the analytical and strategic output expected from operations professionals.

🎓 Skills & Qualifications

Education:

• Bachelor's or Master's degree in Human-Computer Interaction (HCI), Psychology, Sociology, Anthropology, Computer Science, Statistics, or a related field, or equivalent practical experience. Experience:

• 4+ years of proven experience in UX research within software or digital product environments.

• Demonstrated experience analyzing user journeys and conversion funnels to identify friction points and optimize engagement.

• Experience working within fast-paced, collaborative environments, contributing to team success and fostering cross-functional alignment. Required Skills:

• Proficiency in inferential statistics and the ability to structure controlled experiments for rigorous data analysis.

• Experience with data analysis tools such as Excel, R, or Python for conducting basic statistical analyses and interpreting results.

• Strong understanding of UX principles, design heuristics, and user-centered design methodologies.

• Experience conducting qualitative research, including user interviews and usability testing, to gather nuanced user feedback.

• Familiarity with triangulating findings from multiple data sources (quantitative and qualitative) to build comprehensive insights.

• Excellent communication and presentation skills, with the ability to articulate complex findings and recommendations to diverse stakeholders.

• Skilled at fostering alignment and building consensus within cross-functional teams and with stakeholders. Preferred Skills:

• Experience with survey design and execution for customer experience measurement programs.

• Familiarity with advanced statistical modeling or data science techniques.

• Experience with A/B testing and experimental design for product optimization.

• Knowledge of cybersecurity products and consumer security landscapes.

📝 Enhancement Note: The requirement for statistical proficiency, experience with R/Python/Excel for analysis, and the ability to analyze user journeys and conversion funnels are key transferable skills for operations roles. Operations professionals often leverage similar analytical tools and methodologies to optimize sales processes, marketing campaigns, and customer success initiatives.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate a portfolio showcasing a range of UX research projects, highlighting your process from research design to actionable insights.

• Include case studies that illustrate how your research directly influenced product design decisions and led to measurable improvements in user experience.

• Present examples of how you have applied statistical methods and data analysis to interpret research findings and ensure their reliability and significance.

• Showcase your ability to triangulate findings from diverse data sources (qualitative and quantitative) to provide comprehensive and robust recommendations. Process Documentation:

• Detail your approach to planning and conducting lightweight prototype testing and other qualitative studies.

• Provide examples of how you have supported customer experience measurement programs, including survey execution and data analysis.

• Illustrate your methods for analyzing user journeys and conversion funnels to identify and address friction points.

• Document how you translate complex data into clear, actionable recommendations for product and design teams.

📝 Enhancement Note: While a UX Researcher's portfolio typically focuses on user experience outcomes, operations candidates can adapt this by highlighting projects that demonstrate process optimization, system implementation, data analysis, and ROI improvement. The core principle of showcasing impact through documented processes and measurable results is directly transferable.

💵 Compensation & Benefits

Salary Range:

• The anticipated compensation for this position is CAD $100,772.50/Yr. - CAD $136,337.50/Yr. depending on experience and qualifications. Benefits:

• Bonus Program

• Pension and Retirement Plans

• Medical, Dental, and Vision Coverage

• Paid Time Off

• Paid Parental Leave

• Support for Community Involvement Working Hours:

• Typically 40 hours per week. The hybrid nature of the role allows for some flexibility in scheduling, with an expectation of onsite presence 1-6 times per month in either Waterloo or Toronto.

📝 Enhancement Note: The provided salary range is specific to the Canadian market for a UX Researcher role. For operations roles, salary benchmarks can vary significantly based on the specific function (RevOps, Sales Ops, Marketing Ops), industry, and location. When researching operations roles, consider using resources that provide salary data for titles like "Revenue Operations Manager," "Sales Operations Analyst," or "GTM Operations Specialist" in the relevant geographic market.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (Cybersecurity Software)

Company Size: McAfee is a large, established technology company with a significant global presence. This implies a structured environment with opportunities for cross-functional collaboration and access to extensive resources.

Founded: McAfee has a long history in the cybersecurity space, founded in 1987. This legacy suggests a company with deep expertise and a commitment to innovation in a critical industry.

Team Structure:

• The UX Researcher will likely be part of a broader User Experience (UX) or Product Design team, working closely with interaction designers, content strategists, and product managers.

• This role involves significant collaboration with data scientists, analysts, and other researchers, indicating a data-driven and analytical approach within the product development lifecycle.

• Expect a hierarchical structure common in large tech firms, with clear reporting lines but also a strong emphasis on cross-functional project teams to drive product initiatives. Methodology:

• The team utilizes a blend of qualitative and quantitative research methods to inform product development, emphasizing lightweight testing and rapid iteration.

• A data-driven approach is paramount, with a focus on statistical validity, triangulating findings from multiple sources, and analyzing user journeys and conversion funnels.

• Emphasis is placed on translating complex data into clear, actionable insights that drive design and business decisions, fostering a culture of continuous improvement and user advocacy.

Company Website: https://www.mcafee.com/

📝 Enhancement Note: The company's focus on personal security for consumers and its commitment to creating secure, intuitive, and delightful experiences is the core mission. For operations roles at McAfee, understanding this mission is key to aligning operational strategies with user needs and business objectives, especially in how data and processes can enhance the customer journey from initial awareness through ongoing product usage and support.

📈 Career & Growth Analysis

Operations Career Level: This UX Researcher role is positioned at a mid-level, requiring 4+ years of experience. For operations professionals, this typically translates to roles like Senior Analyst, Specialist, or Junior Manager, where independent contribution and project ownership are expected.

Reporting Structure: The UX Researcher will report into a UX Research Lead or Manager, and will collaborate closely with Product Managers and Design Leads. Operations professionals at this level often report to an Operations Manager or Director, with close interaction with Sales, Marketing, and Customer Success leadership.

Operations Impact: While this role's direct impact is on user experience and product design, the insights generated are critical for improving user adoption, retention, and satisfaction – key metrics that directly influence revenue and customer lifetime value. Operations professionals at McAfee would be responsible for the systems, processes, and data infrastructure that enable these user-centric outcomes and track their business impact.

Growth Opportunities:

• Specialization: Opportunity to deepen expertise in specific research methodologies, statistical analysis, or product domains within McAfee's consumer security portfolio.

• Leadership: Potential to move into Senior Researcher or Lead Researcher roles, mentoring junior team members and leading larger research initiatives.

• Cross-functional Mobility: The skills in data analysis, process understanding, and stakeholder management are highly transferable to roles in Product Management, Data Science, or even Go-To-Market Operations, focusing on optimizing the customer journey and operational efficiency.

📝 Enhancement Note: The career path for a UX Researcher emphasizes deepening domain expertise and methodological skills. Operations professionals can draw parallels by focusing on advancing their proficiency in core operational tools, data analytics, process optimization techniques, and strategic GTM alignment. Growth in operations often involves taking on more complex projects, managing larger teams, and influencing strategic decisions through data-driven insights.

🌐 Work Environment

Office Type: Hybrid work environment, with the option to work remotely within Ontario, Canada, or from the Waterloo or Toronto offices. This suggests a modern workplace that balances the need for in-person collaboration with flexibility.

Office Location(s):

• Waterloo, Ontario, Canada

• Toronto, Ontario, Canada

• Remote within Ontario, Canada (commutable distance required) Workspace Context:

• The hybrid model implies a collaborative office space designed for team interaction and brainstorming, alongside the flexibility of remote work for focused individual tasks.

• Access to modern collaboration tools and technology is expected to support seamless communication and project execution across distributed teams.

• Opportunities for in-person engagement with designers, product managers, and other researchers will facilitate knowledge sharing and foster a strong team dynamic. Work Schedule:

• Standard full-time working hours (approximately 40 hours/week) are expected. The hybrid arrangement allows for some flexibility in daily scheduling, accommodating personal needs while ensuring project timelines and collaboration needs are met.

📝 Enhancement Note: The hybrid model for this UX Researcher role highlights a shift towards flexible work arrangements. Operations teams often benefit from this flexibility, allowing for focused analytical work at home and collaborative strategy sessions or team-building activities in the office. Understanding the company's stance on remote and hybrid work is crucial for operations professionals seeking roles that align with their preferred work style and offer the necessary infrastructure for productive remote collaboration.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter will likely review your resume and potentially conduct a brief phone screen to assess basic qualifications and interest.

• Hiring Manager Interview: Expect a discussion with the hiring manager focusing on your experience, approach to UX research, and understanding of McAfee's mission.

• Portfolio Review & Presentation: A critical stage where you will present a selection of your work, detailing your research process, methodologies, findings, and the impact of your insights on product decisions. Prepare 2-3 in-depth case studies.

• Cross-functional Interviews: Interviews with team members (designers, product managers, data scientists) to assess your collaboration skills, problem-solving abilities, and cultural fit.

• Final Interview: Potentially a discussion with a senior leader or director to finalize the decision.

Portfolio Review Tips:

• Curate Strategically: Select 3-4 projects that best showcase your skills in statistical analysis, qualitative research, user journey mapping, and translating data into actionable insights.

• Structure Your Case Studies: For each project, clearly articulate the problem, your role, the research methodologies used (including statistical approaches), key findings, challenges encountered, and the tangible impact on product design and business outcomes.

• Highlight Data Skills: Emphasize your proficiency with tools like Excel, R, or Python, and showcase how you used them for analysis and to ensure the reliability of your findings.

• Quantify Impact: Wherever possible, use metrics to demonstrate the success of your research – e.g., "reduced task completion time by X%," "increased user satisfaction by Y points," or "identified friction points that led to a Z% improvement in conversion."

• Tailor to McAfee: Research McAfee's products and user base. Frame your experience in a way that shows how your skills can directly benefit their consumer security solutions.

Challenge Preparation:

• Be prepared for potential scenario-based questions where you might be asked to outline how you would approach a specific research problem related to McAfee's products.

• Practice articulating your thought process for designing experiments, analyzing data, and presenting findings clearly and concisely.

• Review common UX research challenges, such as dealing with biased data, limited participant pools, or conflicting stakeholder requirements.

📝 Enhancement Note: For operations candidates, the portfolio review is equally critical. Focus on showcasing projects that demonstrate process optimization, system implementation, data analysis, and revenue/efficiency impact. Use a similar case study structure, emphasizing the problem, your analytical approach, the solutions implemented, and the measurable business outcomes (e.g., increased sales pipeline velocity, reduced customer churn, improved data accuracy, enhanced reporting efficiency).

🛠 Tools & Technology Stack

Primary Tools:

• Data Analysis & Statistics: Excel (advanced functions), R, Python (for basic statistical analysis). Proficiency in these tools is essential for interpreting research findings.

• Prototyping & Testing Tools: While not explicitly listed, familiarity with tools used for lightweight prototype testing (e.g., InVision, Figma, UserTesting.com) is highly likely.

• Survey & Feedback Platforms: Tools for designing and executing surveys for customer experience measurement.

Analytics & Reporting:

• User Journey & Conversion Funnel Analysis: Tools that allow for the visualization and analysis of user flows and conversion rates.

• Data Triangulation: Experience synthesizing data from various sources, which may involve using internal analytics platforms, CRM data, and product analytics tools.

CRM & Automation:

• While not a primary focus of this role, an understanding of how UX research integrates with CRM data (e.g., Salesforce) and marketing automation platforms can be beneficial for understanding the broader customer lifecycle.

📝 Enhancement Note: For operations roles, the tool stack is often more extensive and focused on business systems. Key tools include CRM platforms (Salesforce, HubSpot), Marketing Automation (Marketo, Pardot), BI/Analytics tools (Tableau, Power BI, Looker), Sales Engagement Platforms (Outreach, Salesloft), and potentially ERP or data warehousing solutions. Proficiency in these systems is crucial for optimizing business processes and driving revenue growth.

👥 Team Culture & Values

Operations Values:

• User-Centricity: A deep commitment to understanding and advocating for the user, ensuring their needs are met through intuitive and effective product experiences. This aligns with an operations focus on customer satisfaction and retention.

• Data-Driven Decision Making: A strong reliance on empirical evidence, statistical rigor, and triangulation of data to inform strategic choices and product development. This mirrors the analytical rigor expected in operations.

• Collaboration & Alignment: A culture of working closely with cross-functional teams, fostering open communication, and building consensus to achieve shared goals. Essential for effective RevOps and Sales Ops.

• Impact & Actionability: A focus on delivering insights that are not only well-researched but also clear, actionable, and lead to tangible improvements in product and user experience. Operations roles are fundamentally about driving measurable business impact.

Collaboration Style:

• Cross-functional Integration: The role requires close partnership with product managers, designers, marketers, and data scientists, indicating a highly integrated team approach.

• Feedback Exchange: An environment where constructive feedback is shared and received to refine research methodologies and product designs.

• Knowledge Sharing: A proactive approach to sharing research findings and best practices across teams to foster a collective understanding of user needs and behaviors.

📝 Enhancement Note: The values of data-driven decision-making, collaboration, and impact are central to successful operations teams. Operations professionals are expected to leverage data to optimize processes, collaborate effectively with sales, marketing, and customer success, and drive measurable improvements in revenue, efficiency, and customer satisfaction.

⚡ Challenges & Growth Opportunities

Challenges:

• Balancing Speed and Rigor: Conducting thorough research while meeting fast-paced product development timelines. Operations professionals often face similar challenges in delivering timely data and process improvements.

• Translating Insights into Action: Ensuring research findings are understood and effectively implemented by product and design teams, overcoming potential resistance or differing priorities. Operations must effectively influence stakeholders to adopt new processes or systems.

• Data Triangulation Complexity: Synthesizing insights from diverse and potentially disparate data sources to create a coherent and reliable picture of user behavior. Operations often deals with integrating data from multiple systems.

• Evolving User Needs: Staying ahead of changing user expectations and technological trends in the dynamic cybersecurity landscape. Operations must adapt to evolving market demands and technological advancements.

Learning & Development Opportunities:

• Methodological Advancement: Opportunities to learn and apply new UX research techniques, advanced statistical modeling, and experimental design.

• Domain Expertise: Deepen understanding of consumer cybersecurity, user behavior in online security contexts, and product strategy.

• Cross-functional Skill Development: Gain exposure to product management, design thinking, and data science methodologies, enhancing overall product development acumen.

• Mentorship: Potential to learn from experienced researchers and collaborate on complex projects, fostering professional growth.

📝 Enhancement Note: Operations professionals face similar challenges in managing competing priorities, driving adoption of new processes, integrating disparate data, and adapting to market changes. Growth opportunities in operations often involve mastering new technologies, developing advanced analytical skills, taking on leadership roles in process improvement, and specializing in areas like sales enablement, marketing analytics, or customer success operations.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you used statistical methods to ensure the reliability of your research findings. What was the outcome?" (Focus on your experience with R, Python, or Excel for analysis and how you validated results.)

• "Walk us through a complex user journey you've analyzed. What were the key friction points, and how did your research inform solutions?" (Prepare a case study demonstrating your analytical process and actionable recommendations.)

• "How do you approach triangulating findings from both qualitative and quantitative data sources? Provide an example." (Showcase your ability to synthesize diverse information.)

• "Imagine we want to understand user adoption of a new security feature. How would you design a research study to evaluate its effectiveness and identify potential issues?" (Demonstrate your research design and planning skills.) Company & Culture Questions:

• "Why are you interested in UX research at McAfee, specifically within the consumer security space?" (Research McAfee's mission, products, and recent news. Connect your passion for user experience to their focus on security.)

• "How do you foster alignment with cross-functional stakeholders, such as product managers and engineers, when presenting research findings?" (Highlight your communication and collaboration strategies.)

• "Describe a situation where your research findings challenged existing assumptions or designs. How did you handle it?" (Show your ability to advocate for user needs and influence decisions.) Portfolio Presentation Strategy:

• Tell a Story: For each case study, frame it as a narrative: the problem, your approach, the journey, the insights, and the impact.

• Show, Don't Just Tell: Use visuals (charts, graphs, user flows, key quotes) to illustrate your points and make your presentation engaging.

• Emphasize Your Role: Clearly define your contributions, especially in the analytical and strategic aspects of the research.

• Quantify Impact: Conclude each case study with the measurable results or impact of your research on the product or business.

• Be Prepared for Deep Dives: Anticipate questions about your methodology, statistical choices, and how you would apply your findings to specific McAfee products.

📝 Enhancement Note: For operations interviews, prepare for questions on optimizing sales processes, improving data accuracy, implementing new systems, driving revenue growth through operational efficiency, and collaborating with sales and marketing teams. Your portfolio should highlight projects demonstrating ROI, process improvements, system implementations, and data analysis that led to tangible business outcomes.

📌 Application Steps

To apply for this UX Researcher position:

• Submit your application through the McAfee careers portal.

• Tailor Your Resume: Highlight your experience with statistical analysis (Excel, R, Python), qualitative research methods, user journey mapping, and translating data into actionable insights, using keywords from the job description.

• Prepare Your Portfolio: Select 2-3 strong case studies that demonstrate your research process, analytical skills, and the impact of your work. Ensure you can clearly articulate your findings and their business implications.

• Research McAfee: Understand McAfee's consumer security products, target audience, and recent company news to tailor your responses and demonstrate genuine interest.

• Practice Your Presentation: Rehearse presenting your portfolio case studies, focusing on clarity, conciseness, and highlighting your analytical and strategic contributions.

⚠️ 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.