UX Researcher-Website E-commerce

📍 Job Overview

Job Title: UX Researcher - Website E-commerce

Company: Jobgether (Partner Company)

Location: Canada

Job Type: Contract

Category: User Experience Research / Operations

Date Posted: 2026-08-19

Experience Level: 5-10 Years

Remote Status: Fully Remote

🚀 Role Summary

• Conduct rapid, evaluative UX research to drive confident product and business decisions within an e-commerce context.

• Investigate customer journeys, from product discovery to software purchasing, leveraging a blend of qualitative methods and behavioral analytics.

• Utilize AI-enabled workflows to enhance research efficiency while maintaining critical human judgment and oversight.

• Translate complex research findings into clear, actionable recommendations for product, marketing, and e-commerce teams.

• Influence high-impact website and conversion rate optimization initiatives in a collaborative, data-informed environment.

📝 Enhancement Note: While the role is listed under UX Researcher, its focus on e-commerce, website conversion, and integration with behavioral analytics places it firmly within a GTM Operations or Digital Operations umbrella. The emphasis on "quick-turn" research and informing business decisions highlights its operational impact.

📈 Primary Responsibilities

• Plan, scope, and execute quick-turn usability studies and concept tests across website, marketing collateral, and software purchasing experiences.

• Collaborate closely with stakeholders to define research objectives and select appropriate methodologies based on business needs and timelines.

• Analyze qualitative research data and integrate behavioral/digital experience analytics to identify user pain points and opportunities for conversion optimization.

• Synthesize research findings into concise, actionable insights and present them effectively to diverse audiences, including non-research stakeholders.

• Leverage AI tools to accelerate research planning, synthesis, analysis, documentation, and reporting, ensuring appropriate human oversight.

• Investigate customer discovery, engagement, conversion, and purchasing pathways on the website to uncover usability barriers and areas for strategic improvement.

• Partner with Marketing and other cross-functional teams on research initiatives related to customer acquisition, messaging, and conversion rate optimization.

• Utilize behavioral analytics platforms like FullStory (or similar) to gain a quantitative understanding of user interactions and validate research hypotheses.

📝 Enhancement Note: The responsibilities emphasize a results-oriented approach, focusing on driving tangible improvements in website performance and conversion rates, which are key operational metrics. The integration of AI and behavioral analytics signifies a forward-thinking operations approach.

🎓 Skills & Qualifications

Education: Specific educational requirements are not detailed, but a Bachelor's or Master's degree in Human-Computer Interaction, Psychology, Sociology, Anthropology, Computer Science, or a related field is typically expected for UX research roles.

Experience: 5+ years of professional UX research experience, with a proven track record of delivering research within fast-paced, high-volume environments.

Required Skills:

• Expertise in planning and executing quick-turn usability testing and concept testing.

• Hands-on experience with behavioral and digital experience analytics tools (e.g., FullStory, Hotjar, Amplitude, Mixpanel).

• Demonstrated experience researching websites, digital commerce platforms, purchasing journeys, conversion funnels, or similar customer-facing digital experiences.

• Proven ability to implement and leverage AI workflows to enhance research efficiency, with a clear understanding of AI's role versus human judgment.

• Strong qualitative research methodologies and the capacity to integrate behavioral data with user feedback for robust insights.

• Excellent written and verbal communication skills, with the ability to synthesize complex information rapidly and present it clearly to various stakeholder groups.

• Proficient stakeholder management skills, including the ability to scope research requests, align expectations, and deliver results under tight deadlines. Preferred Skills:

• Experience with software license e-commerce, conversion rate optimization (CRO), funnel research, or related digital purchasing environments.

• Experience partnering with Marketing teams on customer acquisition, messaging, and conversion-focused research.

• Familiarity with AI capabilities in research, such as AI-assisted synthesis or report generation.

📝 Enhancement Note: The emphasis on "quick-turn" and "fast-paced" environments suggests that candidates with prior experience in high-volume e-commerce or digital product development will be highly valued. The requirement to integrate AI highlights a need for adaptability and a willingness to embrace new technologies in operations.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 2-3 case studies demonstrating your ability to conduct rapid, evaluative UX research for e-commerce or digital product initiatives.

• Clearly articulate the research problem, your methodology (including any AI-assisted elements), key findings, and the actionable recommendations you provided.

• Quantify the impact of your research where possible, using metrics related to website engagement, conversion rates, task completion, or user satisfaction.

• Include examples of how you integrated behavioral analytics data with qualitative findings to inform your recommendations.

• Demonstrate experience in presenting research findings to diverse stakeholders, including product managers, designers, marketers, and business leaders. Process Documentation:

• Evidence of developing research plans and protocols for quick-turn studies.

• Examples of how you synthesized large volumes of qualitative and quantitative data efficiently.

• Documentation demonstrating your approach to translating research insights into actionable product or marketing improvements.

• Examples of how you've used AI tools to streamline research processes, with a clear explanation of the benefits and limitations.

📝 Enhancement Note: For this role, a portfolio that highlights speed, efficiency, and direct impact on business metrics (especially conversion) will be crucial. Demonstrating the ability to integrate AI and behavioral analytics into research workflows is a key differentiator.

💵 Compensation & Benefits

Salary Range: $75 per hour. Based on an estimated 30-40 hours per week, this translates to a weekly earning of $2,250 - $3,000, or an annualized equivalent of $117,000 - $156,000 if the contract were extended indefinitely.

Benefits:

• Competitive hourly rate of $75 USD.

• Approximately 6-month full-time contract engagement, offering flexibility and project-based work.

• Expected workload of approximately 30–40 hours per week, allowing for a balanced work-life integration.

• Fully remote work arrangement, providing flexibility in location within Canada or the United States.

• Opportunity to contribute to a large-scale software company's e-commerce operations and influence high-visibility website and purchasing experiences.

• Exposure to modern AI-assisted UX research workflows and advanced behavioral analytics tools.

• Collaborative environment with cross-functional teams across product, e-commerce, and marketing.

• Contract engagement facilitated through the UX Researchers' Guild, potentially offering additional support or network opportunities.

Working Hours: Approximately 30-40 hours per week. Availability to work during East Coast U.S. hours is required, which is beneficial for collaboration with teams in North America.

📝 Enhancement Note: The hourly rate of $75 USD is a strong indicator of the experience level and specialized skills required. The contract nature of the role, combined with the remote work arrangement and specific hour requirements, provides clarity on the operational structure. Research into Canadian contractor tax implications and benefits is advisable for the selected candidate.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology (Large-scale software company) and E-commerce. The partner company operates within the technology sector, focusing on software sales and digital purchasing experiences. This implies a culture that values data-driven decision-making, innovation, and efficiency.

Company Size: Large-scale software company. This suggests a structured environment with established processes, but also potential for significant impact due to the scale of operations.

Founded: Not specified, but the mention of an "established e-commerce team" indicates a mature digital presence.

Team Structure:

• The UX Researcher will join an "established e-commerce team" supporting a larger software company. This suggests a dedicated team focused on optimizing the digital purchasing funnel.

• The role involves close collaboration with Product, Marketing, and other cross-functional stakeholders, indicating a matrixed or project-based team structure common in agile environments.

• The research will directly inform "product and business decisions," implying a high level of integration with decision-making bodies. Methodology:

• Data-informed environment: Emphasis on using both qualitative research and behavioral analytics.

• Efficiency-focused: Utilization of AI-enabled workflows to accelerate research processes.

• Agile and iterative: "Quick-turn" research implies a fast-paced, iterative approach to product development and optimization.

• Collaborative: Close partnerships with Marketing and other cross-functional teams are highlighted.

Company Website: Not directly provided for the partner company, but Jobgether's website is jobgether.com.

📝 Enhancement Note: The culture is likely to be fast-paced, results-oriented, and technologically advanced, with a strong emphasis on data and efficiency. The partner company's scale means that even incremental improvements driven by research can have a substantial business impact.

📈 Career & Growth Analysis

Operations Career Level: Mid-to-Senior Level UX Researcher. With 5+ years of experience and a focus on influencing strategic decisions, this role is for an experienced professional capable of independent research execution and impactful recommendation delivery.

Reporting Structure: The UX Researcher will report to a lead within the e-commerce team, likely a Head of E-commerce, Product Manager, or Senior UX Lead. They will collaborate closely with various departments, including Marketing and Product Development.

Operations Impact: This role has a direct operational impact on revenue generation by optimizing the website's conversion funnel and improving the digital purchasing experience. Insights will directly inform strategies for customer acquisition, engagement, and sales conversion, contributing to business growth.

Growth Opportunities:

• Skill Specialization: Deepen expertise in AI-assisted research methodologies and advanced behavioral analytics for e-commerce.

• Cross-Functional Influence: Gain experience working with diverse teams (Product, Marketing, Sales Operations) to drive GTM strategy and operational improvements.

• Project Leadership: Lead research initiatives for high-impact website and conversion optimization projects, potentially leading to more senior project-based roles or contract extensions.

• Industry Exposure: Work within a large-scale software company and gain insights into their specific e-commerce and digital sales operations.

📝 Enhancement Note: While a contract role, the opportunity to influence significant aspects of the company's digital revenue stream and work with advanced tools offers substantial professional development. This role is ideal for an operations-minded researcher looking to make a measurable impact.

🌐 Work Environment

Office Type: Fully Remote. This role is designated as remote, offering significant flexibility.

Office Location(s): The role requires candidates to be based in Canada or the United States. Collaboration is expected during East Coast U.S. hours.

Workspace Context:

• Digital Collaboration: Expect extensive use of collaboration tools (e.g., Slack, Zoom, Google Workspace/Microsoft 365) for communication, meetings, and document sharing.

• Research Tool Integration: Access to and proficiency with various UX research, behavioral analytics (e.g., FullStory), and AI-powered research platforms will be essential.

• Cross-Functional Interaction: Regular interaction with product managers, designers, marketers, and potentially sales operations professionals to gather requirements and present findings.

Work Schedule: Approximately 30-40 hours per week, with a requirement to align with East Coast U.S. business hours for optimal collaboration and real-time decision-making support.

📝 Enhancement Note: The remote nature requires strong self-discipline, time management, and proactive communication skills. The alignment with East Coast U.S. hours is a critical operational requirement for effective team integration.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening (Jobgether AI): Your application will be processed by Jobgether's AI for initial matching against core requirements.

• Application Review (Partner Company): Shortlisted candidates will have their profiles and portfolios reviewed by the partner company's hiring team.

• Interviews: Expect 1-2 rounds of interviews, likely including:

  • A behavioral interview focusing on past UX research experience, problem-solving skills, and stakeholder management.
  • A technical/case study interview where you may be asked to discuss how you would approach a specific e-commerce research problem or present a relevant case study from your portfolio.
  • Discussions on your experience with AI-assisted workflows and behavioral analytics.

• Final Decision: Managed by the partner company's internal team.

Portfolio Review Tips:

• Focus on Impact: Highlight how your research directly influenced product decisions, website improvements, or business metrics (e.g., conversion rates, user engagement).

• Showcase Speed & Efficiency: Emphasize your ability to deliver "quick-turn" research and utilize AI tools effectively.

• Integrate Data: Demonstrate how you combine qualitative insights with quantitative behavioral analytics.

• Clear Communication: Present your findings and recommendations concisely and persuasively, tailored to a business audience.

• AI & Analytics Proficiency: Be prepared to discuss your experience with tools like FullStory and how you've integrated AI into your workflow.

Challenge Preparation:

• Prepare to discuss how you would approach researching a specific e-commerce conversion bottleneck or a new feature's usability.

• Be ready to explain your process for integrating behavioral analytics data into your research.

• Practice articulating the value of UX research to non-research stakeholders in terms of business outcomes.

• Familiarize yourself with common e-commerce UX patterns and conversion optimization principles.

📝 Enhancement Note: The AI-powered application process by Jobgether means ensuring your resume and any submitted materials are keyword-rich and clearly demonstrate alignment with the core requirements. A strong portfolio that showcases relevant case studies is paramount.

🛠 Tools & Technology Stack

Primary Tools:

• Behavioral Analytics: FullStory (required), or comparable platforms like Hotjar, Heap, Amplitude, Mixpanel. Proficiency in analyzing session recordings, heatmaps, and user journey data is key.

• AI-Powered Workflows: Experience implementing or utilizing AI tools for research planning, synthesis, analysis, documentation, and reporting. Specific tools are not listed, so candidates should highlight general AI proficiency in research contexts.

• Qualitative Research Tools: Survey platforms (e.g., SurveyMonkey, Qualtrics), user interview tools (e.g., Zoom, UserTesting.com), and data analysis tools for qualitative data (e.g., Dovetail, NVivo).

Analytics & Reporting:

• Familiarity with web analytics platforms (e.g., Google Analytics) to understand broader website performance metrics.

• Tools for data visualization and dashboard creation to present findings clearly to stakeholders. CRM & Automation:

• While not explicitly mentioned, understanding how UX research findings can feed into CRM strategies or marketing automation workflows for personalization would be a plus.

📝 Enhancement Note: Proficiency with behavioral analytics tools like FullStory is a hard requirement. Candidates should be prepared to discuss their experience with AI in research, even if their specific tools differ from what the company might eventually use.

👥 Team Culture & Values

Operations Values:

• Data-Driven Decision Making: A strong emphasis on using both qualitative and quantitative data (behavioral analytics) to inform decisions.

• Efficiency and Speed: The need for "quick-turn" research and the use of AI-enabled workflows highlight a value placed on rapid iteration and timely insights.

• Customer Centricity: The core of UX research is understanding and advocating for the user, ensuring their needs are met within the e-commerce experience.

• Collaboration and Partnership: Working closely with Marketing and other cross-functional teams to achieve shared business objectives.

• Actionable Insights: A focus on translating research findings into concrete, implementable recommendations that drive business outcomes.

Collaboration Style:

• Cross-Functional Integration: The role requires seamless collaboration with Product, Marketing, and potentially Sales Operations teams to ensure research is aligned with business goals.

• Agile and Iterative: Expect a collaborative environment that embraces iterative development and continuous improvement based on research feedback.

• Transparent Communication: Clear and efficient communication of findings and recommendations to diverse stakeholder groups is essential for effective collaboration.

📝 Enhancement Note: The culture likely rewards proactive individuals who can quickly adapt, deliver impactful insights, and effectively communicate with a broad range of internal partners. The blend of UX principles with operational efficiency is a key cultural aspect.

⚡ Challenges & Growth Opportunities

Challenges:

• Pace and Volume: Managing multiple "quick-turn" research requests simultaneously in a fast-paced e-commerce environment.

• AI Integration Nuances: Effectively integrating AI tools while ensuring human judgment and ethical considerations are maintained throughout the research process.

• Translating Insights: Bridging the gap between complex research findings and actionable, easily implementable recommendations for diverse teams.

• Stakeholder Alignment: Navigating differing priorities and expectations from various stakeholders to ensure research efforts are focused and impactful.

Learning & Development Opportunities:

• AI in Research: Gaining hands-on experience and expertise in cutting-edge AI-assisted UX research methodologies.

• E-commerce Optimization: Deepening knowledge of e-commerce conversion funnels, digital purchasing journeys, and CRO strategies.

• Behavioral Analytics Mastery: Becoming highly proficient in utilizing advanced behavioral analytics tools to uncover user behavior patterns.

• Cross-Functional Exposure: Working closely with Marketing and Product teams provides valuable insights into broader Go-To-Market and product development strategies.

📝 Enhancement Note: This role presents an excellent opportunity for a UX professional to evolve into a more operationally focused role, leveraging data and technology to drive business outcomes in a dynamic e-commerce setting.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to conduct rapid UX research under a tight deadline for an e-commerce website. What was your approach, and what were the key outcomes?"

• "How have you integrated behavioral analytics data (like session recordings or funnel analysis) with qualitative user feedback in your research?"

• "Explain your process for using AI tools in UX research. Where do you see the most value, and what are the critical points where human judgment is essential?"

• "How do you scope research requests from stakeholders with competing priorities? Provide an example." Company & Culture Questions:

• "What interests you about working on website conversion optimization and e-commerce purchasing journeys?"

• "How do you ensure your research findings are actionable and adopted by product and marketing teams?"

• "Describe your experience working in a remote, collaborative environment. How do you maintain productivity and team connection?" Portfolio Presentation Strategy:

• Focus on the "Why": Clearly articulate the business problem or user challenge your research addressed.

• Showcase the "How": Detail your methodology, including how you leveraged behavioral analytics and any AI tools.

• Quantify the "What": Present key findings and, crucially, the impact of your recommendations using metrics.

• Tailor to the Role: Emphasize case studies related to e-commerce, conversion optimization, or website usability.

• Concise Delivery: Be prepared to walk through your case studies efficiently, highlighting the most critical elements.

📝 Enhancement Note: Prepare to discuss your experience with AI tools and behavioral analytics in detail, as these are explicitly mentioned requirements. Demonstrating an understanding of how UX research directly impacts operational KPIs like conversion rate will be key.

📌 Application Steps

To apply for this operations-focused UX Researcher position:

• Submit your application through the provided Jobgether link.

• Customize Your Resume: Ensure your resume highlights your 5+ years of UX research experience, with specific keywords related to e-commerce, website optimization, behavioral analytics (mentioning FullStory if applicable), AI-assisted research, and quick-turn usability studies. Quantify achievements where possible.

• Curate Your Portfolio: Select 2-3 strong case studies that best demonstrate your ability to conduct rapid, impactful research in an e-commerce or digital product context. Focus on showcasing your integration of behavioral analytics and AI, and the resulting business impact (e.g., conversion improvements).

• Prepare for AI Screening: Be aware that Jobgether uses AI for initial candidate matching. Ensure your application materials are clear, concise, and aligned with the job description's core requirements.

• Research the Partner Company (if possible): While direct information might be limited, try to understand the general landscape of large-scale software companies and their e-commerce operations to better tailor your responses.

• Practice Your Presentation: Rehearse presenting your portfolio case studies, focusing on clarity, conciseness, and demonstrating the operational impact of your research. Be ready to discuss your approach to AI and behavioral analytics.

⚠️ 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.