Responsibilities

• Own the end-to-end A/B and multivariate testing lifecycle — from hypothesis formation through test design & build , QA, launch, analysis, and reporting
• Maintain and prioritize a structured experimentation backlog grounded in data, customer research, and business goals
• Partner with CRM and marketing teams to design and test personalized experiences by customer segment, using behavioral and transactional signals to inform targeting logic
• Partner with product and engineering to ensure winning variant implementation
• Build post-test documentation that captures learnings and informs future roadmap decisions
• Analyze conversion funnels across device types to identify drop-off points and high-impact optimization opportunities from landing through cart and checkout
• Work with GA4 and Quantum Metric analytics to pull and interpret session-level, transaction-level, and event-level data
• Monitor core KPIs on an ongoing basis, surfacing anomalies, trends, and opportunities proactively
• Translate quantitative findings into actionable hypotheses; complement with qualitative signals from session recordings, heatmaps, and VOC data
• Drive measurable improvement across the team's core performance indicators

Requirements

• 3+ years in a CRO or experimentation-focused role, preferably within e-commerce or retail
• Hands-on experience with A/B testing platforms (Optimizely, VWO, Adobe Target, or equivalent)
• Strong proficiency with HTML, CSS and JS for creating, customizing and troubleshooting tests
• Strong proficiency in GA4 and marketing channel measurement, including ongoing QA of analytics implementation
• Demonstrated ability to design statistically valid experiments and communicate results with appropriate nuance (confidence intervals, practical significance, segmentation)
• Familiarity with behavioral analytics tools (Hotjar, FullStory, Quantum Metric, or similar) and comfort triangulating quantitative and qualitative signals
• Excellent written and verbal communication; ability to build a compelling narrative around data for non-technical audiences

Preferred

• Experience optimizing high-consideration, high-AOV product categories (furniture, appliances, home goods, or similar)
• Familiarity with financing and buy now, pay later UX patterns and their conversion dynamics
• Experience with omnichannel retail where the digital experience serves multiple journey modes simultaneously — supporting customers in research mode, those ready to transact online, and those using the site as a stepping stone to a store visit where they can experience the product and work with a sales associate.