UX Researcher-Website E-commerce

📍 Job Overview

Job Title: UX Researcher - Website E-commerce

Company: Jobgether (Partner Company)

Location: United States

Job Type: Contract

Category: UX Research / E-commerce Operations

Date Posted: 2026-08-19

Experience Level: 5-10 Years

Remote Status: Fully Remote

🚀 Role Summary

• Conduct rapid, evaluative UX research to support fast-paced e-commerce and software purchasing teams.

• Integrate qualitative user feedback with behavioral analytics to drive data-informed product and business decisions.

• Leverage AI-enabled workflows to accelerate research planning, synthesis, and reporting for enhanced efficiency.

• Translate complex research findings into clear, actionable recommendations for diverse stakeholders.

• Influence high-impact website and conversion experiences within a collaborative, data-driven environment.

📝 Enhancement Note: This role is positioned within an e-commerce context, focusing on website user journeys and conversion optimization. The emphasis on "quick-turn" research and AI integration suggests a need for adaptability, efficiency, and a forward-thinking approach to UX methodologies, which are critical in fast-moving GTM and operations environments.

📈 Primary Responsibilities

• Plan and execute rapid usability studies and concept tests across website, marketing, and software purchasing touchpoints.

• Scope incoming research requests by collaborating with stakeholders to define business objectives, user needs, and appropriate research methodologies.

• Analyze qualitative and quantitative data, synthesizing findings into concise, actionable recommendations for product, marketing, and e-commerce teams.

• Utilize behavioral and digital experience analytics platforms (e.g., FullStory) to identify user behavior patterns and provide context for research hypotheses.

• Develop and implement AI-powered workflows to streamline research planning, synthesis, analysis, documentation, and reporting, while ensuring human oversight.

• Present research findings clearly and efficiently to various audiences, tailoring communication to both research-savvy and non-research stakeholders.

• Investigate website discovery, engagement, conversion, and purchasing pathways to pinpoint usability barriers and opportunities for enhancement.

• Collaborate closely with Marketing teams on research initiatives related to customer acquisition, messaging, and conversion rate optimization.

📝 Enhancement Note: The responsibilities highlight a blend of traditional UX research methods and modern approaches like AI integration and behavioral analytics. This suggests the ideal candidate will be proficient in both qualitative and quantitative data analysis, with a strong ability to connect user insights directly to business outcomes, a key aspect of GTM operations.

🎓 Skills & Qualifications

Education: While no specific degree is listed, a Bachelor's or Master's degree in Human-Computer Interaction (HCI), Psychology, Sociology, 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 in fast-paced, high-volume environments.

Required Skills:

• Professional UX research experience (5+ years) in fast-paced settings.

• Demonstrated proficiency in conducting quick-turn usability testing and concept testing.

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

• Expertise in researching websites, digital commerce experiences, purchasing journeys, and conversion funnels.

• Proven ability to implement AI workflows to enhance research efficiency, with a clear understanding of where human judgment is essential.

• Strong qualitative research skills, adept at combining behavioral data with user feedback.

• Excellent written and verbal communication skills for synthesizing complex findings and presenting to diverse stakeholders.

• Strong stakeholder management skills, capable of scoping research, aligning expectations, and delivering under short timelines. Preferred Skills:

• Experience with software license e-commerce, conversion optimization, or funnel research.

• Experience partnering with Marketing teams on customer acquisition and messaging research.

• Familiarity with AI tools for research acceleration (e.g., AI-powered synthesis tools, generative AI for report drafting).

📝 Enhancement Note: The requirement for AI workflow implementation is a significant differentiator. Candidates should be prepared to demonstrate practical experience or a strong conceptual understanding of how AI can augment UX research processes, beyond just using AI tools for basic tasks. This aligns with the broader trend of AI adoption in GTM and operations for efficiency gains.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase a minimum of 3-5 case studies demonstrating experience in fast-paced UX research environments.

• Include projects focused on website optimization, e-commerce conversion funnels, or digital purchasing journeys.

• Highlight projects where behavioral analytics data was integrated with qualitative findings.

• Present examples of research that led to actionable recommendations and measurable business impact.

• Detail instances where AI workflows were used to accelerate research processes. Process Documentation:

• Clearly outline the research process followed for each case study, from planning and scoping to execution, analysis, and reporting.

• Demonstrate the methodology used to translate findings into actionable recommendations for product, marketing, and e-commerce teams.

• Provide examples of how behavioral analytics data was incorporated into the research synthesis.

• Illustrate the communication and presentation of findings to stakeholders, showcasing adaptability for different audiences.

📝 Enhancement Note: Given the emphasis on "quick-turn" research and AI integration, portfolios should specifically highlight projects where efficiency and speed were critical. Candidates should be ready to discuss how they managed research timelines, prioritized tasks, and leveraged technology (including AI) to deliver insights rapidly.

💵 Compensation & Benefits

Salary Range: $75 per hour. Based on a 40-hour work week, this translates to an estimated annual compensation of $156,000.

Benefits:

• Hourly rate of $75/hour.

• Approximately 6-month full-time contract engagement (30-40 hours/week).

• Fully remote work arrangement.

• Opportunity to work within an established e-commerce organization, influencing high-visibility website and purchasing experiences.

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

• Opportunity to collaborate with cross-functional stakeholders across research, product, e-commerce, and marketing.

• Contract engagement facilitated through the UX Researchers' Guild.

Working Hours: Approximately 30–40 hours per week, with availability expected during East Coast U.S. hours.

📝 Enhancement Note: The $75/hour rate for a 6-month contract role with remote flexibility is competitive for experienced UX researchers. The note about "East Coast U.S. hours" is crucial for candidates in different time zones, indicating a need for core availability during those specific times to facilitate collaboration. This is a common operational requirement for remote teams.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology / E-commerce (Large-scale software company, with a focus on digital purchasing experiences). The partner company, Jobgether, operates as an AI-powered matching platform for talent acquisition.

Company Size: The partner company, Jobgether, is a tech platform. The client company is described as a "large-scale software company," implying a significant organizational structure with established departments like product, marketing, and e-commerce.

Founded: Jobgether leverages AI for matching. The client company's founding date is not specified but is implied to be established enough to have a large-scale e-commerce presence.

Team Structure:

• The UX Researcher will join an established e-commerce team.

• This team supports a large-scale software company's digital purchasing experiences.

• Collaboration is expected with product, marketing, and other cross-functional stakeholders.

• The role involves working with internal teams on website discovery, engagement, and conversion pathways. Methodology:

• Data-informed environment with a focus on behavioral and digital experience analytics.

• Emphasis on fast-paced, evaluative research to support quick decision-making.

• Integration of AI-enabled workflows to accelerate research processes.

• Strong human judgment and communication are critical alongside AI tools.

Company Website: [Jobgether Website URL not provided, but implied to be their platform]

📝 Enhancement Note: The context suggests a dynamic, results-oriented environment within a larger organization. The "large-scale software company" likely has complex processes and a significant customer base, meaning UX research findings can have a broad impact. The collaboration with Marketing and E-commerce teams is key for GTM alignment.

📈 Career & Growth Analysis

Operations Career Level: This role is for an experienced UX Researcher (5-10 years) focusing on applied research within an e-commerce context. It's a contract position, offering specialized experience rather than a traditional long-term career path within the client company. However, it provides significant exposure to high-impact projects.

Reporting Structure: The UX Researcher will likely report to a UX Research Lead or Manager within the e-commerce team, or potentially a Product/Marketing Manager overseeing digital purchasing experiences. Close collaboration with cross-functional stakeholders is integral.

Operations Impact: The role directly impacts website performance, conversion rates, and the overall customer purchasing journey for software products. Insights generated will inform critical decisions in product development, marketing strategy, and e-commerce operations, aiming to improve user experience and drive revenue.

Growth Opportunities:

• Deepen expertise in AI-assisted UX research methodologies and behavioral analytics.

• Gain hands-on experience with high-impact e-commerce conversion optimization projects.

• Develop strong stakeholder management and communication skills within a large enterprise.

• Expand knowledge of software licensing e-commerce and digital purchasing strategies.

• Build a portfolio of successful, rapid research projects, showcasing efficiency and impact.

📝 Enhancement Note: While a contract role, the opportunity to work with AI-enhanced research and influence critical e-commerce conversion points offers valuable experience for any operations professional looking to specialize in user-centric GTM strategies. The focus on "quick-turn" research and AI integration prepares professionals for the evolving demands of modern operations.

🌐 Work Environment

Office Type: Fully Remote. This role offers the flexibility of working from any location within the United States or Canada.

Office Location(s): Remote (US/Canada). The requirement to work during East Coast U.S. hours is the primary geographic consideration for collaboration.

Workspace Context:

• A fully remote setup requires self-discipline and effective time management.

• Access to modern collaboration tools and communication platforms is essential.

• The role necessitates a dedicated workspace conducive to focused research and analysis.

• Opportunities for virtual collaboration with a diverse, cross-functional team.

Work Schedule: Approximately 30–40 hours per week, with a need for availability during East Coast U.S. hours to facilitate synchronous communication and collaboration with team members and stakeholders.

📝 Enhancement Note: The remote nature of this role aligns with modern operational flexibility. However, the stipulation of East Coast U.S. hours is a critical factor for candidates to consider, as it dictates core working availability and potential impacts on work-life balance depending on their actual location.

📄 Application & Portfolio Review Process

Interview Process:

• Initial AI Screening: Jobgether's AI matching process will assess candidate profiles against core requirements.

• Hiring Company Review: Shortlisted candidates will be shared with the partner company for further review.

• Potential Interviews: Expect 1-3 rounds of interviews with the hiring company, likely including:

  • A UX Research Lead or Manager to assess technical skills and research methodology.
  • Cross-functional stakeholders (e.g., Product Manager, Marketing Lead) to evaluate collaboration and business acumen.
  • A potential case study presentation or discussion of portfolio work.

• Final Decision: Managed by the partner company.

Portfolio Review Tips:

• Curate for Impact: Select 2-3 strong case studies that best represent your experience in fast-paced e-commerce research and AI integration.

• Quantify Results: Clearly articulate the business impact of your research. Use metrics related to conversion rates, user engagement, task completion, or revenue where possible.

• Highlight Process: Detail your research process, emphasizing efficiency, stakeholder collaboration, and how you integrated behavioral analytics and AI.

• Showcase AI Application: Specifically call out how you used AI to accelerate research planning, synthesis, or reporting, and explain the human oversight applied.

• Tailor to E-commerce: Emphasize projects directly related to website optimization, user journeys, and conversion funnels.

Challenge Preparation:

• Be prepared to discuss hypothetical research scenarios related to e-commerce websites or software purchasing journeys.

• Practice articulating complex research findings concisely and persuasively for different audiences.

• Think about how you would scope a "quick-turn" research project given limited time and resources.

• Prepare to discuss your experience with behavioral analytics tools and how you've used them to inform qualitative research.

📝 Enhancement Note: The Jobgether platform uses AI for initial screening, so ensuring your profile and resume are keyword-rich with terms like "UX Research," "E-commerce," "Behavioral Analytics," and "AI Workflows" is crucial. The portfolio review will be key for demonstrating practical application of these skills.

🛠 Tools & Technology Stack

Primary Tools:

• Behavioral Analytics: FullStory or comparable platforms (e.g., Hotjar, Pendo, Amplitude). Candidates should be comfortable analyzing session replays, heatmaps, and user flow data.

• AI-Powered Workflows: Experience with tools or platforms that accelerate research processes (e.g., AI for data synthesis, report generation, participant recruitment assistance). Specific tools are not named but the concept is critical.

• Standard UX Research Tools: Survey platforms (e.g., SurveyMonkey, Qualtrics), user testing platforms (e.g., UserTesting.com, Lookback), and collaboration tools (e.g., Miro, Figma).

Analytics & Reporting:

• Proficiency in synthesizing data from various sources (qualitative interviews, usability tests, behavioral analytics) into comprehensive reports.

• Ability to create clear visualizations and dashboards to communicate insights. CRM & Automation:

• While not a direct CRM role, understanding how UX research impacts CRM data and customer journey automation is beneficial.

📝 Enhancement Note: Familiarity with FullStory is explicitly mentioned, making it a key tool to highlight if you have experience. Beyond that, demonstrating adaptability to new AI tools for research acceleration is paramount. This highlights the operational need for researchers to stay current with technological advancements that boost efficiency.

👥 Team Culture & Values

Operations Values:

• Efficiency & Speed: A strong emphasis on delivering insights quickly and within tight timelines.

• Data-Driven Decision Making: Relying on both qualitative feedback and quantitative behavioral data to inform strategy.

• Collaboration: Working closely with cross-functional teams (product, marketing, e-commerce) to ensure research is relevant and actionable.

• Innovation: Embracing new technologies like AI to improve research processes and outcomes.

• User-Centricity: Maintaining a focus on understanding and improving the user experience throughout the purchasing journey.

Collaboration Style:

• Highly collaborative, with frequent interaction with product managers, marketers, and e-commerce specialists.

• Requires clear communication and the ability to influence stakeholders with research findings.

• Openness to feedback and iterative refinement of research plans and deliverables.

• Proactive engagement to understand business needs and scope research effectively.

📝 Enhancement Note: The culture described is fast-paced and results-oriented, typical of competitive e-commerce environments. Candidates should demonstrate an ability to thrive under pressure, communicate effectively, and proactively contribute to team goals, embodying the efficiency and data-driven mindset valued in operations.

⚡ Challenges & Growth Opportunities

Challenges:

• Rapid Timelines: Conducting rigorous research under tight deadlines requires excellent prioritization and efficient execution.

• AI Integration Nuances: Effectively implementing AI workflows while maintaining human judgment and ensuring data integrity can be challenging.

• Cross-Functional Alignment: Balancing the needs and perspectives of diverse stakeholders (product, marketing, e-commerce) requires strong negotiation and communication skills.

• Translating Insights: Effectively bridging the gap between research findings and actionable business decisions for a large-scale software company.

Learning & Development Opportunities:

• Gain hands-on experience with cutting-edge AI-assisted UX research methodologies.

• Deepen expertise in behavioral analytics and its application in e-commerce conversion optimization.

• Develop advanced stakeholder management and communication skills in a corporate setting.

• Expand understanding of the software e-commerce landscape and customer acquisition strategies.

• Build a portfolio showcasing rapid research delivery and impactful insights.

📝 Enhancement Note: This role offers a unique opportunity to gain practical experience with AI in research, a rapidly growing area within operations. Successfully navigating the challenges of rapid research and cross-functional collaboration will be key to maximizing growth and demonstrating valuable operational skills.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you had to conduct user research with a very tight deadline. How did you prioritize and what was the outcome?" (Focus on speed, efficiency, and impact).

• "How do you incorporate behavioral analytics data into your qualitative research process?" (Highlight integration of quantitative and qualitative data).

• "Walk me through a project where you used AI tools to accelerate your research. What were the benefits, and what human oversight did you maintain?" (Demonstrate AI proficiency and critical thinking).

• "How would you approach researching a specific user journey on an e-commerce website, such as product discovery or checkout?" (Showcase understanding of e-commerce funnels). Company & Culture Questions:

• "What interests you about this contract role focused on e-commerce and AI-assisted research?" (Align your interests with the role's unique aspects).

• "How do you ensure your research findings are actionable and understood by non-research stakeholders?" (Emphasize communication and impact).

• "Describe your experience working in a fast-paced, remote environment." (Highlight self-management and collaboration skills). Portfolio Presentation Strategy:

• Structure: For each case study, clearly define the problem, your role, the research methodology (including AI/analytics used), key findings, and the resulting recommendations/impact.

• Quantify: Wherever possible, use metrics to demonstrate the success of your research.

• AI Focus: Clearly articulate how AI was used and the specific benefits it brought to the research process.

• Conciseness: Be prepared to present your portfolio highlights within a limited timeframe, focusing on the most impactful elements.

📝 Enhancement Note: Prepare to discuss specific examples of how you have applied AI to research processes, as this is a key differentiator for this role. Demonstrating comfort with behavioral analytics tools like FullStory will also be crucial.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Jobgether platform, ensuring your profile is up-to-date and keyword-rich for AI matching.

• Portfolio Customization: Select and prepare 2-3 case studies that best highlight your experience in rapid e-commerce UX research, behavioral analytics integration, and AI workflow implementation.

• Resume Optimization: Tailor your resume to emphasize the required skills and experience, using keywords from the job description such as "UX Research," "E-commerce," "Behavioral Analytics," "AI Workflows," and "Stakeholder Management."

• Interview Preparation: Practice articulating your experience with specific examples, focusing on your ability to deliver actionable insights quickly and collaboratively. Be ready to discuss your experience with behavioral analytics tools.

• Company Research: Understand Jobgether's AI matching process and the general context of working with a large software company's e-commerce operations.

⚠️ 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.