Sr Staff Mixed Methods User Researcher

📍 Job Overview

Job Title: Sr Staff Mixed Methods User Researcher

Company: Jobgether (on behalf of a partner company)

Location: Canada

Job Type: Full-time

Category: User Research / Product Strategy Operations

Date Posted: May 19, 2026

Experience Level: Senior Staff / 8+ Years

Remote Status: Fully Remote (within Canada)

🚀 Role Summary

• Spearhead high-impact, mixed-methods user research initiatives to define product strategy and drive executive-level decision-making within a dynamic tech/SaaS environment.

• Champion user-centered innovation by integrating qualitative and quantitative insights to create holistic user narratives that inform product development and business strategy.

• Elevate research practices across the organization by defining standards, mentoring researchers, and promoting cross-functional collaboration with product, design, engineering, data science, and marketing.

• Lead complex and ambiguous research studies, ensuring methodological rigor and strategic relevance from generative discovery through evaluative testing.

📝 Enhancement Note: This role is positioned as a senior leadership individual contributor, focusing on research strategy and execution rather than direct people management. The emphasis on "Sr Staff" and "leading complex and ambiguous studies" suggests a need for strong strategic thinking and the ability to operate autonomously. The "Partner company" aspect through Jobgether implies a need for adaptability and clear communication with external stakeholders.

📈 Primary Responsibilities

• Lead the design and execution of complex, high-impact mixed-methods research studies throughout the entire product lifecycle, from ideation to post-launch analysis.

• Translate intricate user needs, behaviors, and motivations into clear, actionable insights and strategic recommendations for executive leadership and cross-functional teams.

• Integrate diverse data sources, including behavioral analytics, survey data, user interviews, usability testing, and market research, to build comprehensive user understanding.

• Partner closely with Product Management, Design, Engineering, Data Science, and Marketing to identify strategic research opportunities and ensure research findings are effectively embedded into product roadmaps and business strategies.

• Define, document, and advocate for best practices in user research, including ethical considerations for AI tools in research, elevating the overall quality and impact of research outputs.

• Mentor and coach other researchers (senior and junior) on advanced methodologies, strategic thinking, and impactful communication, fostering a culture of research excellence.

• Contribute to the development of the overall research strategy and organizational frameworks that embed user-centered principles across all departments.

• Champion responsible AI use within research workflows, critically evaluating AI-generated insights and establishing guidelines for ethical and effective application.

📝 Enhancement Note: The responsibilities highlight a blend of deep research execution and strategic influence. The mention of "shaping product vision," "executive-level influence," and "organizational research strategy" indicates a significant leadership component, even if not direct management. The focus on integrating various data types and "AI tools in research workflows" points to a modern, data-driven approach to user research.

🎓 Skills & Qualifications

Education:

Experience:

• A minimum of 8 years of hands-on experience conducting applied user research in fast-paced technology, SaaS, or product-driven environments.

• Demonstrated experience in leadership roles within research functions, influencing product strategy and business decisions at a senior level.

Required Skills:

• Mixed Methods Expertise: Deep proficiency in designing and executing studies that combine qualitative (e.g., in-depth interviews, ethnographic studies, usability testing, focus groups, diary studies) and quantitative (e.g., survey design and analysis, A/B testing, conjoint analysis, behavioral data analysis) methodologies.

• Strategic Research Leadership: Ability to identify critical research questions aligned with business objectives, prioritize research efforts, and translate findings into high-level strategic recommendations.

• Cross-Functional Collaboration: Exceptional ability to partner effectively with Product Managers, Designers, Engineers, Data Scientists, and Marketing teams, fostering strong working relationships and ensuring research insights drive action.

• Stakeholder Influence: Proven experience in influencing and communicating research insights to executive stakeholders, product leadership, and diverse cross-functional teams, using compelling, evidence-based storytelling.

• Generative & Evaluative Research: Expertise in applying both generative research techniques to uncover unmet needs and opportunities, and evaluative methods to test and refine product solutions.

• AI Tool Proficiency in Research: Familiarity with current AI tools relevant to research (e.g., for synthesis, analysis, transcription), coupled with critical judgment for responsible and effective application.

Preferred Skills:

• Experience in mentoring senior and junior researchers, guiding methodological approaches, and elevating research capabilities within an organization.

• Expertise in analyzing and synthesizing large datasets, including behavioral analytics, CRM data, and market intelligence, to complement qualitative findings.

• Experience in defining and implementing research operations (ResearchOps) frameworks to scale research efforts.

• Familiarity with specific product domains relevant to the partner company's industry (e.g., B2B SaaS, enterprise software, consumer tech).

• A strong portfolio showcasing complex mixed-methods research projects and their impact on product and business outcomes.

📝 Enhancement Note: The "Sr Staff" designation implies a level of autonomy and strategic impact beyond typical senior roles. The emphasis on influencing executive stakeholders and mentoring others is critical. The inclusion of "AI tools for research" is a key differentiator, suggesting a forward-thinking approach. The lack of specific degree requirements but strong emphasis on experience and practical application is common for senior research roles.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate Mixed-Methods Mastery: Showcase 2-3 complex research projects that clearly illustrate the strategic application of both qualitative and quantitative methods, detailing the research questions, methodologies used, and rationale for the chosen approach.

• Highlight Strategic Impact: Clearly articulate the business and product outcomes directly influenced by your research. Quantify impact where possible (e.g., improved conversion rates, reduced churn, increased user satisfaction scores, successful feature adoption).

• Showcase Cross-Functional Collaboration: Provide examples of how you partnered with Product, Design, Engineering, and other stakeholders to translate insights into actionable strategies and product decisions. Detail how you managed differing perspectives and drove consensus.

• Illustrate Leadership & Mentorship: Include examples of how you have elevated research practices, mentored junior researchers, or contributed to defining research standards and methodologies within an organization.

• Address Ambiguity & Complexity: Present case studies that demonstrate your ability to navigate ambiguous problem spaces, define research objectives from high-level business goals, and execute research plans effectively.

Process Documentation:

• Research Design & Planning: Document your process for scoping research, defining objectives, selecting appropriate methodologies, recruiting participants, and developing research instruments (e.g., interview guides, survey questionnaires).

• Data Synthesis & Analysis: Outline your systematic approach to synthesizing qualitative data (e.g., affinity mapping, thematic analysis) and analyzing quantitative data (e.g., statistical analysis, data visualization), including how you integrate findings from both.

• Insight Communication & Actionability: Detail your methods for communicating research findings effectively to diverse audiences, including executive summaries, compelling presentations, and actionable recommendations that drive product and strategic decisions.

• Responsible AI Integration: Describe your process for evaluating and integrating AI tools into research workflows, including how you ensure ethical considerations, data privacy, and the validity of AI-generated outputs.

📝 Enhancement Note: For a senior role, the portfolio is paramount. It needs to go beyond mere execution to demonstrate strategic thinking, leadership, and a proven ability to impact business outcomes. The emphasis on "complex and ambiguous studies" and "executive-level influence" means the portfolio should reflect these capabilities.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Competitive Salary: Aligned with senior research leadership roles in the Canadian tech market.

• Comprehensive Health Coverage: Including medical, dental, and vision plans to support employee well-being.

• Retirement Savings Plan: With employer contributions, aiding long-term financial security.

• Generous Paid Time Off: A robust PTO policy, including national holidays and additional wellness days, promoting work-life balance.

• Annual Home Office Stipend: To equip a productive and comfortable remote workspace.

• Professional Development Budget: Dedicated funds for continuous learning, conferences, certifications, and skill enhancement relevant to advanced research methodologies and AI in research.

• Quarterly Well-being Stipend: To support mental health resources, fitness, or other personal wellness activities.

• Generous Parental Leave: Comprehensive leave policies to support new parents and families.

• Family Support Benefits: Additional benefits aimed at supporting employees with family responsibilities.

• Flexible Remote Work Environment: The freedom to work remotely from anywhere within Canada.

Working Hours:

• Standard full-time hours, typically around 40 hours per week. The role offers significant flexibility in scheduling, accommodating remote work and potentially asynchronous collaboration, provided core responsibilities and stakeholder engagement needs are met.

📝 Enhancement Note: The salary estimate is based on typical compensation for senior-level research roles in Canada, considering the provided experience level and the "Sr Staff" designation. The benefits listed are comprehensive and align with what a senior professional would expect, particularly in a remote-first tech company. The flexibility in working hours is a key benefit for remote roles.

🎯 Team & Company Context

🏢 Company Culture

Industry: The partner company operates within the technology sector, likely focusing on SaaS or a related area given the role's description involving product strategy and user-centered innovation. This implies a fast-paced, data-driven, and innovation-focused environment.

Company Size: The job posting doesn't specify the partner company's size, but the need for a "Sr Staff" researcher to "define research standards" and "mentor other researchers" suggests a growing or established organization with a developing research function, likely mid-to-large size (e.g., 100-1000+ employees).

Founded: Information on the founding date of the partner company is not provided. However, the emphasis on shaping product strategy and using advanced research methods (including AI) suggests an organization that is either a mature scale-up or an established player looking to enhance its user-centricity.

Team Structure:

• Research Team: While not explicitly detailed, the role implies the existence of a research function, potentially with a mix of senior and junior researchers, and possibly dedicated specialists. This Sr Staff role would likely be a senior individual contributor or a lead within this team.

• Cross-Functional Partnerships: The role emphasizes deep collaboration with Product Management, UX/Product Design, Engineering, Data Science, and Marketing. This indicates a highly integrated GTM (Go-To-Market) and product development process.

• Reporting: The reporting structure isn't specified, but senior research roles often report into heads of Product, Design, or a dedicated Research lead. Given the strategic influence, reporting to a VP or Director level is probable.

Methodology:

• Data-Driven Decision Making: The partner company likely values data-informed decisions, integrating qualitative insights with quantitative metrics and behavioral analytics to guide product strategy.

• User-Centricity: A core tenet is ensuring user needs and behaviors are at the forefront of product development and business strategy.

• Agile & Iterative Development: The fast-paced tech/SaaS environment suggests an agile or iterative approach to product development, where research plays a continuous role.

• Innovation Focus: The role's emphasis on shaping product vision and driving innovation suggests a culture that encourages exploration and experimentation based on user insights.

Company Website: As Jobgether is posting on behalf of a partner company, the specific company website URL is not provided in the listing.

📝 Enhancement Note: The "Sr Staff" title and the responsibilities imply a company that is maturing its research practice or has a significant focus on user insights. The partnership through Jobgether means direct company information is limited, so inferences are based on the role's demands and typical tech/SaaS environments.

📈 Career & Growth Analysis

Operations Career Level: This role represents a "Senior Staff" or "Principal" level individual contributor within the User Research discipline. It signifies a high degree of autonomy, strategic influence, and expertise, often going beyond day-to-day execution to shape research strategy and practice. It is a leadership role focused on impact and thought leadership within the research domain.

Reporting Structure: The Sr Staff User Researcher will likely report to a Director or VP of Product, Design, or a dedicated Head of Research. They will work closely with Product Managers, Designers, Engineers, and Data Scientists, influencing their roadmaps and strategies through research. While not a people management role, it involves significant influence and mentorship of other researchers.

Operations Impact: The primary impact of this role is shaping product strategy, informing executive decision-making, and driving user-centered innovation. By providing deep human insights, this researcher will help the company build products that better meet user needs, improve user experience, and ultimately drive key business metrics such as customer acquisition, retention, and revenue growth. The role directly contributes to the success of product development and go-to-market strategies by ensuring they are grounded in user understanding.

Growth Opportunities:

• Research Leadership: Potential to grow into a Head of Research or Director of Research role, managing a team and defining the research vision for the entire organization.

• Specialization: Deepen expertise in specific areas of mixed-methods research, AI in research, or specific product domains.

• Strategic Advisor: Evolve into a key strategic advisor to executive leadership, influencing company-wide strategy beyond just product roadmaps.

• Cross-Functional Leadership: Transition into broader product strategy or GTM strategy roles where deep user understanding is critical.

• Industry Thought Leadership: Become recognized as an expert in the field through speaking engagements, publications, or contributions to industry standards.

📝 Enhancement Note: The "Sr Staff" designation is key here. It's a position of significant influence and expertise, often a career pinnacle for individual contributors who excel at strategic impact and thought leadership without necessarily managing a team. The growth paths reflect this individual contributor leadership track.

🌐 Work Environment

Office Type: The role is fully remote within Canada, indicating a distributed or remote-first work environment. This means there may not be a central office, or if there is, this role would not be tied to it. The focus is on asynchronous and virtual collaboration.

Office Location(s): While the job is listed for "Canada," there are no specific office locations mentioned. The benefits include a "Flexible remote work environment across Canada," suggesting that candidates can be based anywhere within the country, provided they have the necessary infrastructure to work remotely.

Workspace Context:

• Collaborative Virtual Environment: Expect to work within digital collaboration tools (e.g., Slack, Teams, Zoom, Miro, Figma) for communication, brainstorming, and co-creation.

• Tools & Technology: Access to a suite of research tools, analytics platforms, and communication software will be provided or expected. The role specifically mentions AI tools, implying integration with modern technology stacks.

• Autonomy & Flexibility: The remote nature fosters a high degree of autonomy. The successful candidate will need to be self-motivated, disciplined, and adept at managing their own time and workflow effectively.

• Cross-Team Interaction: Regular virtual meetings and touchpoints with distributed teams across different departments are essential for alignment and insight sharing.

Work Schedule:

• While typically a 40-hour work week, the remote setting offers flexibility in how hours are structured. This allows for better adherence to personal schedules and potentially accommodates time zone differences when collaborating with teams across Canada. The emphasis is on delivering results and meeting project deadlines rather than strict adherence to a 9-to-5 schedule.

📝 Enhancement Note: The remote aspect is a significant characteristic. The environment will be heavily reliant on digital communication and collaboration tools. The flexibility offered is a key selling point for this type of role.

📄 Application & Portfolio Review Process

Interview Process: The interview process for a Sr Staff role is typically multi-stage and rigorous, designed to assess strategic thinking, research expertise, leadership potential, and cultural fit.

• Initial Screening (Jobgether/Recruiter): A brief conversation to assess basic qualifications, experience alignment, and interest in the role and company.

• Hiring Manager Interview: Deep dive into your experience, research philosophy, leadership style, and how you approach complex research challenges. This stage will likely focus on your strategic thinking and ability to influence.

• Research/Product/Design Team Interviews: Multiple interviews with peers and stakeholders (e.g., other researchers, Product Managers, Designers, Data Scientists). These sessions will evaluate your technical research skills, collaborative abilities, and understanding of product development processes. Expect discussions on specific methodologies, case studies, and how you've handled challenging research scenarios.

• Portfolio Presentation: A dedicated session where you present 1-2 key projects from your portfolio, demonstrating your mixed-methods expertise, strategic impact, and communication skills. This is a critical part of the evaluation.

• Executive/Senior Leadership Interview: A final interview with a VP or Director level stakeholder to assess strategic alignment, executive presence, and overall fit within the company's leadership culture.

Portfolio Review Tips:

• Curate Strategically: Select 1-2 projects that best showcase your "Sr Staff" capabilities: complex problems, mixed-methods application, significant strategic impact, and cross-functional influence.

• Storytelling is Key: Structure your case studies as compelling narratives. Start with the business problem or user challenge, detail your research approach (why you chose specific methods), present key findings, and, most importantly, articulate the impact and actions taken based on your insights.

• Quantify Impact: Wherever possible, use metrics to demonstrate the success of your research. Show how your work led to measurable improvements in user experience, product adoption, or business outcomes.

• Highlight Methodological Rigor: Clearly explain your rationale for choosing specific qualitative and quantitative methods. Demonstrate a deep understanding of the strengths and limitations of each.

• Showcase Leadership & Mentorship: If possible, include examples of how you've guided others or contributed to improving research practices.

• Be Prepared for Deep Dives: Expect interviewers to ask detailed questions about your process, decision-making, and challenges faced during your portfolio projects.

Challenge Preparation:

• Hypothetical Research Scenario: You might be given a product or business problem and asked to outline a research plan, including methodologies, participant criteria, and key questions. Focus on demonstrating strategic thinking, feasibility, and alignment with business goals.

• Data Interpretation Exercise: You may be presented with a dataset or a summary of findings and asked to interpret them, draw conclusions, and recommend next steps.

• Methodology Debate: Be ready to defend your methodological choices and discuss trade-offs between different approaches.

• AI in Research Discussion: Prepare to discuss your experience and perspective on using AI tools in research – their benefits, limitations, and ethical considerations.

📝 Enhancement Note: The interview process for senior roles is a significant undertaking. The portfolio presentation is a cornerstone, requiring careful preparation to showcase strategic impact and leadership. The inclusion of AI tools in research also suggests potential interview questions around this evolving area.

🛠 Tools & Technology Stack

Primary Tools:

• Qualitative Research Platforms: Tools for remote usability testing, session recording, user interviews, and surveys (e.g., UserTesting.com, Lookback, Maze, Dovetail, Condens).

• Quantitative Research Platforms: Survey tools with advanced logic and analytics (e.g., SurveyMonkey, Qualtrics, Typeform), and potentially A/B testing platforms (e.g., Optimizely, VWO).

• Collaboration & Synthesis Tools: Digital whiteboarding and diagramming tools for synthesis and workshop facilitation (e.g., Miro, Mural, FigJam).

• Data Analysis Software: Statistical software or libraries for quantitative analysis (e.g., SPSS, R, Python with pandas/scipy), and qualitative data analysis software (e.g., NVivo, ATLAS.ti).

• AI Tools for Research: Emerging tools for transcription, summarization, thematic analysis, persona generation, or hypothesis generation.

Analytics & Reporting:

• Behavioral Analytics Platforms: Tools to track user interactions on digital products (e.g., Amplitude, Mixpanel, Pendo, Google Analytics).

• Data Visualization Tools: For creating dashboards and reports to share insights with stakeholders (e.g., Tableau, Power BI, Looker).

CRM & Automation:

• While not directly a CRM role, familiarity with how CRM data (e.g., Salesforce, HubSpot) can inform user segmentation and understanding of customer journeys is beneficial.

• Project Management Tools: For managing research timelines and tasks (e.g., Asana, Jira, Trello).

📝 Enhancement Note: The technology stack for a Sr Staff User Researcher is diverse, encompassing tools for data collection, analysis, synthesis, and communication. The explicit mention of AI tools highlights the need for candidates to be current with emerging technologies in the research space.

👥 Team Culture & Values

Operations Values:

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

• Data-Driven Integrity: A belief in using rigorous, evidence-based methods to derive insights, ensuring objectivity and accuracy in research findings.

• Strategic Impact: A focus on research that matters – driving meaningful change, influencing strategy, and contributing demonstrably to business success.

• Collaboration & Curiosity: An open, inquisitive mindset that thrives on working with diverse teams, sharing knowledge, and continuously learning.

• Methodological Excellence: A dedication to upholding high standards of research design, execution, and analysis, while remaining adaptable to new approaches.

• Ethical Practice: A strong adherence to ethical research principles, including user privacy, informed consent, and responsible use of data and technology (especially AI).

Collaboration Style:

• Proactive Partnership: Actively seeking out opportunities to collaborate with Product, Design, Engineering, and Marketing, acting as a strategic partner rather than a service provider.

• Evidence-Based Communication: Using research findings as the foundation for discussions, recommendations, and decision-making, fostering trust and alignment.

• Knowledge Sharing: Regularly sharing insights, best practices, and learnings through presentations, documentation, and informal channels to uplift the entire organization.

• Constructive Feedback: Fostering an environment where constructive feedback on research approaches, findings, and strategy is welcomed and acted upon.

• Empathetic Advocacy: Championing the user's voice with empathy and conviction, ensuring their perspective is understood and respected by all stakeholders.

📝 Enhancement Note: The values and collaboration style for a senior role are critical. They often reflect the desired leadership qualities and how the individual is expected to influence across teams, even without direct authority.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Ambiguity: Tackling complex, ill-defined problems where the research questions themselves need to be discovered and shaped. This requires strong strategic thinking and problem-framing skills.

• Influencing Executive Stakeholders: Effectively communicating complex research findings and translating them into actionable strategies that resonate with senior leadership and drive concrete decisions.

• Balancing Rigor and Speed: In a fast-paced tech environment, finding the right balance between conducting thorough, methodologically sound research and delivering insights within tight deadlines.

• Integrating Diverse Data Sources: Skillfully weaving together qualitative insights, quantitative data, behavioral analytics, and market trends into a cohesive and compelling narrative.

• Defining and Scaling Research Practice: Establishing and refining research standards, processes, and tools to ensure consistent quality and impact across a growing or distributed organization.

• Responsible AI Adoption: Staying ahead of the curve in ethically and effectively leveraging AI tools in research workflows, managing potential biases and ensuring data integrity.

Learning & Development Opportunities:

• Advanced Methodological Training: Opportunities to deepen expertise in emerging or niche research methodologies, advanced statistical analysis, or specialized qualitative techniques.

• AI in Research Specialization: Dedicated learning paths or resources focused on the application of AI in user research, including ethical frameworks and practical implementation.

• Leadership & Strategy Development: Mentorship and training focused on executive communication, strategic planning, influencing skills, and shaping organizational research strategy.

• Industry Conferences & Workshops: Budget and time allocation for attending leading UX research and product strategy conferences to stay abreast of industry trends and network with peers.

• Cross-Functional Exposure: Opportunities to work deeply with data science, product management, and engineering teams, broadening understanding of the broader product development ecosystem.

📝 Enhancement Note: Identifying potential challenges and linking them to growth opportunities is crucial for a senior role. It shows foresight and a commitment to professional development, which is expected at this level.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you led a complex, ambiguous research initiative that significantly influenced product strategy. What was the problem, your approach, the key insights, and the ultimate business impact?" (Focus on your process, strategic thinking, and outcome demonstration.)

• "How do you decide which research methods to employ when faced with a new product challenge? Walk us through your decision-making framework." (Showcase your methodological expertise and strategic rationale.)

• "Imagine you have conflicting insights from qualitative research and quantitative data. How would you reconcile these differences and present a unified recommendation to stakeholders?" (Assess your ability to integrate data, critical thinking, and communication.)

• "How do you approach mentoring other researchers? Can you share an example of how you helped elevate someone's research skills or strategic impact?" (Demonstrate leadership and commitment to team development.)

Company & Culture Questions:

• "Based on what you know about our company and this role, how do you see yourself contributing to our user-centered product development process?" (Show you've researched and understand the company's context.)

• "Describe your ideal collaboration with Product Managers, Designers, and Engineers. How do you ensure research findings are acted upon?" (Assess your cross-functional collaboration style.)

Portfolio Presentation Strategy:

• Structure for Impact: Begin with a high-level executive summary of the project's goal and outcome. Then, dive into the context, your strategic research plan, key findings (using visuals), and finally, the tangible impact and next steps.

• Focus on "Why" and "So What": For every step, explain why you made certain decisions (methodological, strategic) and so what the findings meant for the business or product.

• Visual Storytelling: Use clear, concise visuals (charts, key quotes, screenshots) to support your narrative. Avoid dense text-heavy slides.

• Anticipate Questions: Prepare for detailed questions about your methodology, data analysis, stakeholder management, and any challenges you faced. Be ready to discuss alternative approaches you considered.

• Demonstrate Leadership: Frame your contributions in terms of leadership, strategic influence, and driving outcomes, not just execution.

📝 Enhancement Note: Preparation for a "Sr Staff" role interview needs to be strategic. Emphasis should be on demonstrating leadership, strategic impact, and the ability to navigate complex, ambiguous challenges, supported by a well-curated portfolio.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided link on Jobgether. Be sure to complete all required fields accurately.

• Portfolio Customization: Review your professional portfolio and select 1-2 case studies that best exemplify your Sr Staff-level mixed-methods research expertise, strategic influence, and demonstrable impact on product and business outcomes. Tailor your portfolio presentation to highlight elements relevant to a tech/SaaS environment and the potential use of AI in research.

• Resume Optimization: Ensure your resume clearly articulates your 8+ years of experience, highlighting leadership in research, proficiency in mixed-methods, experience with executive stakeholders, and any experience with AI tools in research. Use keywords from the job description such as "Mixed Methods," "User Research," "Product Strategy," "Stakeholder Management," and "AI Tools."

• Interview Preparation: Practice articulating your experience using the STAR method (Situation, Task, Action, Result) for behavioral questions. Prepare your portfolio presentation thoroughly, focusing on clear storytelling, quantifiable impact, and strategic rationale. Research common interview questions for senior user researchers and prepare thoughtful answers.

• Company Research: While the partner company is not explicitly named, research Jobgether's mission and typical partners to understand the ecosystem. Consider the general landscape of tech/SaaS companies in Canada to anticipate potential industry challenges and opportunities relevant to the role.

⚠️ 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 through Jobgether before making application decisions.