Senior Mixed Methods User Researcher

Jobgether
Full-timeCanada

📍 Job Overview

Job Title: Senior Mixed Methods User Researcher

Company: Jobgether (on behalf of a partner company)

Location: Canada

Job Type: Full-time

Category: User Experience (UX) Research / Product Research

Date Posted: 2026-06-03

Experience Level: Mid-Senior (4-6+ years)

Remote Status: Fully Remote

🚀 Role Summary

  • Lead end-to-end mixed-methods UX research initiatives, focusing on mobile and privacy-centric digital products to drive product strategy and design.

  • Plan, design, and execute comprehensive research studies utilizing both qualitative (interviews, usability testing) and quantitative (surveys, data analysis) approaches.

  • Act as a strategic partner to product, design, engineering, and data science teams, translating complex user insights into actionable recommendations that influence product roadmaps.

  • Champion user-centered design principles throughout the product development lifecycle, ensuring research findings are continuously integrated.

  • Mentor peer researchers, contribute to establishing best practices, and support the responsible integration of AI in research workflows.

📝 Enhancement Note: This role is positioned as a senior-level UX research leader, implying a need for strong strategic thinking, leadership in research design, and the ability to influence cross-functional stakeholders, particularly within a consumer technology or digital product environment. The emphasis on "mixed methods" and "AI in research workflows" indicates a modern, data-informed approach to user understanding.

📈 Primary Responsibilities

  • Spearhead mixed-methods UX research projects for key product areas, including mobile applications and privacy-focused features, delivering actionable insights to inform product strategy and design.

  • Design, conduct, and analyze end-to-end research studies using a variety of qualitative techniques (e.g., user interviews, usability testing, concept testing) and quantitative methods (e.g., survey design, data interpretation, statistical analysis).

  • Synthesize complex user behaviors, technical limitations, and business objectives into clear, concise, and impactful insights and recommendations for product managers, designers, engineers, and marketing teams.

  • Foster strong collaborative relationships with product management, design, engineering, data science, and marketing departments to identify high-priority research opportunities and shape product roadmaps.

  • Actively advocate for and integrate user-centered design principles and ethical research practices throughout the entire product development lifecycle, ensuring continuous user feedback loops.

  • Drive research excellence by mentoring junior researchers, contributing to the development and refinement of research best practices, and exploring the responsible application of AI tools within research processes.

  • Contribute to the development of innovative and user-first digital experiences, ensuring that research findings directly address user needs and motivations at scale.

📝 Enhancement Note: The responsibilities highlight a blend of hands-on research execution and strategic influence. The expectation to "translate complex user behavior" and "influence product roadmaps" signifies a role that requires not just data collection but also strong analytical and communication skills to drive decision-making. The mentoring aspect suggests a leadership component within the research function.

🎓 Skills & Qualifications

Education: While not explicitly stated, a Bachelor's or Master's degree in Human-Computer Interaction (HCI), Psychology, Sociology, Anthropology, Computer Science, Statistics, or a related field is typically expected for senior research roles.

Experience: 4–6+ years of dedicated UX research experience within consumer technology or digital product environments.

Required Skills:

  • Proven expertise in leading both generative research (e.g., understanding user needs, market opportunities) and evaluative research (e.g., usability testing, concept validation) across multiple product lifecycle stages.

  • Strong command of qualitative research methodologies, including in-depth interviews, usability testing, focus groups, and concept testing.

  • Proficiency in quantitative research methods, including survey design, questionnaire development, data interpretation, and basic statistical analysis.

  • Demonstrated experience working effectively in fast-paced, agile development environments, with a proven ability to manage shifting priorities and deliver impactful research outcomes.

  • Excellent analytical thinking and judgment skills, with the capacity to prioritize research initiatives and make informed trade-off recommendations based on impact and feasibility.

  • Familiarity with AI tools relevant to research workflows, coupled with the ability to critically assess AI-generated outputs and apply them responsibly and ethically.

  • Exceptional collaboration and communication skills, with a track record of effectively influencing cross-functional stakeholders through clear and compelling research insights.

  • A strong commitment to user-centered design principles, continuous iteration, and the practice of inclusive and ethical research methodologies. Preferred Skills:

  • Experience with advanced statistical analysis tools or techniques.

  • Familiarity with A/B testing frameworks and experimentation design.

  • Experience in researching mobile applications or privacy-related features.

  • Knowledge of design thinking frameworks and their integration with research.

  • Experience with user segmentation and persona development.

📝 Enhancement Note: The experience requirement of 4-6+ years, coupled with the emphasis on both generative and evaluative research, positions this as a mid-to-senior level role. The inclusion of "AI tools in research workflows" signals a forward-looking requirement, suggesting candidates should be comfortable exploring and critically evaluating new technologies. The blend of qualitative and quantitative skills is crucial for a "mixed methods" researcher.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

  • A robust portfolio showcasing a range of end-to-end research projects, demonstrating a strong understanding of mixed-methods application.

  • Case studies detailing your role in identifying user needs, informing product strategy, and influencing design and roadmap decisions.

  • Examples of how you have translated complex user data into clear, actionable insights and recommendations for diverse stakeholders.

  • Demonstrations of your ability to manage research projects from inception to completion, including planning, execution, analysis, and reporting.

  • Evidence of your contribution to user-centered design principles and ethical research practices within product development cycles. Process Documentation:

  • Examples of research plans, outlining methodologies, participant recruitment strategies, and key research questions.

  • Documentation of research findings, including synthesis of qualitative data (e.g., affinity diagrams, thematic analysis) and quantitative data (e.g., survey results, usability metrics).

  • Artifacts showcasing how research insights were communicated and integrated into product development workflows, such as presentations, reports, or user journey maps.

  • Evidence of contributing to or developing research best practices and mentoring other team members.

📝 Enhancement Note: For a Senior Mixed Methods User Researcher, a portfolio is critical. It should not just list projects but clearly articulate the research process, the methodologies used (and why), the insights derived, and the tangible impact on product strategy and user experience. The ability to showcase influence and mentorship is key for a senior role.

💵 Compensation & Benefits

Salary Range: For a Senior Mixed Methods User Researcher in Canada, with 4-6+ years of experience, working remotely, the salary range is estimated to be CAD $100,000 - $140,000 annually. This range can vary significantly based on specific location within Canada (e.g., major tech hubs vs. smaller cities), the partner company's specific compensation philosophy, and the candidate's exact experience and qualifications.

Benefits:

  • Competitive compensation aligned with Canadian market benchmarks (variable by location tier).

  • Comprehensive health coverage, including medical, dental, and vision plans.

  • Strong retirement savings support with immediate vesting.

  • Generous paid time off, including holidays, wellness days, and birthday leave.

  • Annual home office stipend and professional development budget.

  • Quarterly well-being support stipend and employee wellness initiatives.

  • Paid parental leave and employee referral bonus programs.

  • Inclusive, mission-driven culture focused on open, accessible, and user-first technology.

Working Hours: Standard full-time hours (approximately 40 hours per week) are expected, with flexibility potentially available depending on project needs and team agreements. Remote work offers autonomy in managing work schedules, provided deadlines and collaboration needs are met.

📝 Enhancement Note: The salary range is an estimate based on industry data for senior UX researchers in Canada, considering the remote nature of the role and the typical compensation structures in the Canadian tech market. The benefits package listed is comprehensive and reflects typical offerings for senior roles in established tech companies.

🎯 Team & Company Context

🏢 Company Culture

Industry: Consumer Technology / Digital Products / SaaS (implied by digital product focus)

Company Size: Not specified, but the role is posted by Jobgether on behalf of a partner company, suggesting it could range from a mid-sized tech company to a larger organization with established product teams.

Founded: Not specified.

Team Structure:

  • The role sits at the intersection of product, design, engineering, and data science, indicating a highly cross-functional team environment.

  • There is an explicit mention of mentoring researchers and elevating research practices, suggesting a research function that may be growing or seeking to mature its capabilities, potentially within a larger UX or Product team.

  • Collaboration is expected to be a core aspect, with close partnerships required across various disciplines. Methodology:

  • Emphasis on mixed-methods research, combining qualitative and quantitative approaches for a holistic understanding of users.

  • Commitment to user-centered design, continuous iteration, and evidence-based decision-making.

  • A forward-thinking approach that includes exploring and responsibly integrating AI tools into research workflows.

  • Focus on delivering actionable insights that directly influence product roadmap decisions and overall product direction.

Company Website: https://jobgether.com/how-jobgether-works (Jobgether's explanation of their process) and ultimately the partner company's website will be the target.

📝 Enhancement Note: The company culture is described as "mission-driven," "collaborative," and focused on "improving digital experiences at scale." The emphasis on "responsible innovation" and "thoughtful use of AI" suggests a company that values ethical practices and is open to leveraging new technologies. The "user-first" ethos is paramount.

📈 Career & Growth Analysis

Operations Career Level: Senior Mixed Methods User Researcher. This role implies a level of autonomy, strategic input, and the ability to lead complex research initiatives. It's a leadership position within the research function, moving beyond execution to strategic influence and mentorship.

Reporting Structure: While not explicitly detailed, a Senior User Researcher typically reports to a Lead UX Researcher, a Director of UX, a Head of Product, or a similar senior leadership role within product development. The role involves close collaboration with Product Managers, Designers, and Engineers.

Operations Impact: The role has a direct impact on shaping product strategy, roadmap decisions, and the overall user experience of digital products. By providing deep user insights, the researcher influences the direction of product development, ensuring it meets user needs and business objectives. The focus on "high impact" and "strong cross-functional visibility" underscores the significance of this position.

Growth Opportunities:

  • Leadership Expansion: Potential to grow into a Lead UX Researcher or Managerial role, overseeing a team of researchers and setting research strategy for larger product areas.

  • Specialization: Opportunity to deepen expertise in specific research areas (e.g., privacy research, mobile UX, AI ethics in research) or become a recognized subject matter expert within the company.

  • Process Improvement: Lead initiatives to scale and refine research operations, implement new tools, and evangelize user-centered practices across the organization.

  • Cross-Functional Leadership: Develop stronger influence and strategic partnerships across product, design, and engineering leadership.

📝 Enhancement Note: The "Senior" title combined with "mentoring peers" and "elevating research practices" points towards a role with significant growth potential, likely into leadership or a principal individual contributor path within UX research. The ability to influence product strategy is a key indicator of the role's impact and career trajectory.

🌐 Work Environment

Office Type: This is a fully remote position based in Canada. The "office type" is virtual, requiring strong self-discipline and effective remote communication.

Office Location(s): Canada. The remote nature means employees can work from various locations within Canada, potentially with specific tax or employment implications depending on the province.

Workspace Context:

  • A virtual workspace demanding excellent asynchronous and synchronous communication skills.

  • Access to remote collaboration tools and platforms is essential for seamless teamwork with distributed colleagues.

  • Opportunities for virtual team-building, knowledge sharing sessions, and online collaboration with product, design, and engineering teams.

  • Emphasis on autonomy and self-management within a supportive, mission-driven culture.

Work Schedule: While typically a 40-hour work week, remote roles often offer some flexibility in scheduling, allowing individuals to structure their day to optimize productivity and work-life balance, provided core collaboration hours and project deadlines are met.

📝 Enhancement Note: The remote work aspect implies a need for excellent self-management, communication tools proficiency, and a proactive approach to staying connected with the team. The company culture aims to foster inclusion and collaboration even in a distributed environment.

📄 Application & Portfolio Review Process

Interview Process:

  • Initial Screening: Likely a recruiter screen (Jobgether) to assess basic qualifications and fit.

  • Hiring Manager Interview: Discussion focused on your experience, approach to mixed-methods research, and understanding of product strategy.

  • Portfolio Review / Presentation: A key stage where you will present selected case studies from your portfolio, demonstrating your research process, insights, and impact. Expect to discuss your role in these projects and how you handle challenges.

  • Cross-functional Interviews: Meet with key stakeholders (e.g., Product Managers, Designers, Engineers) to assess collaboration style, communication clarity, and ability to influence.

  • Research Team Interview (if applicable): May involve meeting with other researchers or UX leadership to discuss research best practices, mentorship approach, and vision for UX research.

  • Final Interview: Potentially with a senior leader to discuss overall fit and strategic alignment.

Portfolio Review Tips:

  • Curate Strategically: Select 2-3 strong case studies that best represent your mixed-methods expertise, leadership, and impact on product decisions. Tailor your selection to highlight experience relevant to mobile and privacy if possible.

  • Structure Your Narrative: For each case study, clearly articulate the problem, your research approach (explaining why mixed methods were chosen), your specific contributions, the key insights, the recommendations, and the resulting impact on the product or business.

  • Quantify Impact: Wherever possible, use metrics to demonstrate the success of your research – e.g., improved usability scores, increased conversion rates, reduced user errors, impact on roadmap prioritization.

  • Highlight Collaboration: Showcase how you partnered with cross-functional teams and communicated your findings effectively to drive action.

  • Address AI: Be prepared to discuss your experience or perspective on using AI tools in research, including ethical considerations and critical evaluation of AI outputs.

Challenge Preparation:

  • Be ready for a hypothetical research challenge or a deep dive into a past project where you had to solve a complex user problem with limited data.

  • Practice articulating your thought process clearly and concisely, especially when discussing trade-offs or dealing with ambiguity.

  • Prepare to discuss your mentoring philosophy and how you contribute to team growth and research excellence.

📝 Enhancement Note: The interview process is likely to be rigorous, with a strong emphasis on evaluating practical research skills, strategic thinking, and cross-functional collaboration. The portfolio presentation is a critical component for this role.

🛠 Tools & Technology Stack

Primary Tools:

  • Research Platforms: Tools for conducting remote interviews and usability testing (e.g., UserTesting.com, Lookback, Maze, Zoom).

  • Survey Tools: Platforms for designing and distributing surveys (e.g., SurveyMonkey, Qualtrics, Google Forms).

  • Data Analysis Software: Tools for qualitative data analysis (e.g., Dovetail, NVivo, Atlas.ti) and quantitative data analysis (e.g., Excel, Google Sheets, SPSS, R, Python for statistical analysis).

  • Collaboration Tools: Project management and communication platforms (e.g., Jira, Asana, Slack, Microsoft Teams).

Analytics & Reporting:

  • Data Visualization: Tools to present findings (e.g., Tableau, Power BI, Looker Studio).

  • Product Analytics: Understanding of tools like Amplitude, Mixpanel, or Google Analytics to complement qualitative findings.

CRM & Automation:

  • While not directly a CRM/Automation role, familiarity with how user research informs CRM strategies or marketing automation is a plus, but not a primary requirement.

📝 Enhancement Note: Proficiency in a range of qualitative and quantitative research tools is essential. The ability to analyze and synthesize data from various sources and present it effectively is key. The mention of "AI tools in research workflows" suggests familiarity with AI-powered research assistants or analysis tools might be beneficial.

👥 Team Culture & Values

Operations Values:

  • User-Centricity: A deep commitment to understanding and advocating for the user in all product decisions.

  • Data-Driven Insights: Valuing evidence-based decision-making derived from rigorous research.

  • Collaboration & Transparency: Fostering an environment where cross-functional teams work together openly and share knowledge.

  • Continuous Improvement: A dedication to refining processes, learning from mistakes, and evolving research practices.

  • Responsible Innovation: A thoughtful approach to technology, including the ethical and responsible use of AI.

  • Inclusivity & Ethics: Commitment to conducting research in a way that is inclusive, equitable, and respects user privacy.

Collaboration Style:

  • Highly collaborative, working closely with product managers, designers, engineers, and data scientists.

  • Proactive communication and a willingness to share insights and feedback across disciplines.

  • A culture that encourages constructive debate and diverse perspectives to arrive at the best product solutions.

  • Emphasis on knowledge sharing and mentorship to elevate the collective understanding of users.

📝 Enhancement Note: The company culture appears to be progressive, user-focused, and collaborative, with a strong emphasis on ethical practices and leveraging technology responsibly. The values align with modern tech company expectations for research and product development teams.

⚡ Challenges & Growth Opportunities

Challenges:

  • Translating Ambiguity: Navigating complex product requirements and user needs to define clear research questions and methodologies.

  • Influencing Roadmaps: Effectively communicating research findings to drive significant changes in product strategy and development priorities, especially in fast-paced environments.

  • Balancing Methods: Optimally integrating qualitative and quantitative data to provide comprehensive insights without overwhelming teams.

  • Responsible AI Integration: Critically evaluating and ethically applying new AI tools in research without compromising data integrity or user privacy.

  • Remote Collaboration: Maintaining strong connections and effective communication within a distributed team.

Learning & Development Opportunities:

  • Advanced Methodologies: Opportunities to explore and implement cutting-edge research techniques, including advanced AI-driven research tools.

  • Strategic Impact: Developing skills in influencing product strategy at a higher level and contributing to long-term product vision.

  • Mentorship & Leadership: Growing leadership capabilities through mentoring junior researchers and potentially leading research initiatives.

  • Industry Engagement: Potential for attending conferences, workshops, and contributing to the broader UX research community.

  • Cross-Disciplinary Learning: Deepening understanding of product management, design, and engineering processes through close collaboration.

📝 Enhancement Note: The role presents opportunities to tackle complex research challenges and grow in strategic influence and leadership within the UX research field. The focus on AI in research offers a chance to stay at the forefront of the discipline.

💡 Interview Preparation

Strategy Questions:

  • "Describe a complex product problem you solved using mixed methods. What was your process, and what was the outcome?" (Focus on methodology, insight generation, and impact.)

  • "How do you prioritize research initiatives when multiple teams have competing requests?" (Assess strategic thinking, stakeholder management, and trade-off articulation.)

  • "How do you ensure your research findings are actionable and integrated into product development?" (Demonstrate communication, influence, and process integration.)

  • "How have you used AI tools in your research workflow, or how would you approach integrating them responsibly?" (Evaluate critical thinking, ethical awareness, and forward-thinking.)

  • "Describe a time you had to influence stakeholders who were resistant to user feedback." (Showcase persuasion, data-driven argumentation, and resilience.) Company & Culture Questions:

  • "What interests you about this role and our company's mission?" (Research the partner company and Jobgether's mission.)

  • "How do you approach mentoring junior researchers or elevating research practices within a team?" (Highlight leadership, knowledge sharing, and team development.)

  • "What are your thoughts on ethical considerations in user research, especially concerning data privacy and AI?" (Demonstrate alignment with company values.)

  • "How do you foster collaboration with product managers, designers, and engineers?" (Showcase teamwork and cross-functional communication skills.) Portfolio Presentation Strategy:

  • Tell a Story: Frame each case study as a narrative with a clear beginning (problem), middle (your process and insights), and end (impact and learnings).

  • Focus on Your Role: Clearly articulate your specific contributions, especially in mixed-methods design and analysis.

  • Visuals are Key: Use slides to illustrate your process, data, and findings. Show, don't just tell.

  • Be Prepared for Deep Dives: Anticipate detailed questions about your methodology, decision-making, and challenges encountered.

  • Practice Your Delivery: Rehearse your presentation to ensure it's concise, engaging, and within the allotted time.

📝 Enhancement Note: Interview preparation should focus on demonstrating a strong command of mixed-methods research, strategic thinking, influential communication, and a proactive, user-centric approach. The portfolio presentation is a critical opportunity to showcase these skills in action.

📌 Application Steps

To apply for this operations position:

  • Submit your application through the provided link on jobs.lever.co.

  • Tailor Your Resume: Highlight your experience with mixed-methods research, generative and evaluative studies, and experience in consumer technology or digital products. Use keywords from the job description such as "UX Research," "Generative Research," "Evaluative Research," "Mixed Methods," "Product Strategy," and "Stakeholder Management."

  • Prepare Your Portfolio: Ensure your portfolio is easily accessible and showcases 2-3 compelling case studies that demonstrate your end-to-end research process, your ability to leverage both qualitative and quantitative data, and the impact of your insights on product decisions. Be ready to walk through these during an interview.

  • Research the Partner Company: Invest time in understanding the partner company's products, target audience, and mission. This will help you tailor your responses and demonstrate genuine interest.

  • Practice Your Interview Responses: Prepare for common UX research interview questions, focusing on behavioral examples that highlight your skills in research design, analysis, communication, and collaboration. Practice articulating your thought process clearly.

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


Application Requirements

Requires 4-6+ years of UX research experience in consumer technology with expertise in both qualitative and quantitative methodologies. Candidates must be proficient in agile environments and capable of responsibly integrating AI tools into research workflows.