Ecommerce

• Communicate product strategy and roadmap updates effectively to cross-functional stakeholders and leadership.
• Coordinate execution across multiple teams, squads, or pods to ensure seamless product launches and updates.
• Drive product innovation within the E-commerce segment, leveraging a culture of A/B testing and data-driven insights.
• Champion the customer voice across the product organization, prioritizing the roadmap based on user pain points and market dynamics.
• Demonstrate strong technical fluency by anticipating architectural tradeoffs and technical risks.
• Define and analyze complex metrics that inform the success of the product area, driving sustained impact on customer satisfaction and business OKRs.

Senior Product Manager – E-Commerce

• Develop and maintain ecommerce storefronts using HTML5, CSS3, and modern vanilla JavaScript (ES6+)
• Write efficient server-side logic using Miva Template Language (MVT)
• Build and support integrations with external systems (REST/SOAP APIs, ERPs, CRMs, etc.)
• Act as the technical bridge between client storefronts and their broader business ecosystem
• Troubleshoot and resolve frontend, backend, and configuration issues across platforms
• Optimize performance, SEO, accessibility, and conversion
• Implement merchandising strategies, personalization, promotions, and optimized purchase flows

Web Developer – Ecommerce

• Serve as the primary analytics leader across eCommerce, Marketing, Finance, Retail, Merchandising, Inventory Planning, and Operations.
• Own problem definition for analytics - determining which business questions matter and what decisions insights should inform.
• Move analysis beyond “what happened” to “why it happened,” “how it happened,” and “what we should do next.”
• Proactively mine data to identify risks, opportunities, inefficiencies, and performance drivers.
• Influence senior leaders through clear implications and actionable recommendations.
• Own the integrity, governance, and usability of core commerce, customer, and operational datasets across platforms (eCommerce, POS, CDP, email, data warehouse).
• Validate insights using business context and commercial logic — not just technical correctness.
• Define, document, and continuously evolve company-wide KPI frameworks in partnership with Finance and functional leaders.
• Identify and resolve cross-functional metric misalignment to ensure a single, trusted understanding of performance.
• Establish standards for data quality, documentation, and analytical transparency across the organization.
• Leverage AI as a core component of advanced analytical work, including hypothesis generation, exploratory analysis, pattern detection, insight synthesis, and narrative development.
• Design, operationalize, and scale repeatable AI-assisted workflows that support recurring company-level decisions (growth, margin optimization, inventory productivity, forecast alignment).
• Establish validation frameworks to pressure-test AI-generated outputs against source data, historical performance, customer behavior, and commercial logic.
• Embed AI-enabled insights into planning, forecasting, and executive performance reviews.
• Promote responsible, explainable, and outcome-driven AI usage across analytics workflows.
• Own web and digital analytics strategy using Heap, including funnel performance, customer journey analysis, and conversion optimization.
• Ensure tracking integrity and event schema accuracy, including review of structured data formats (e.g., JSON, data layers) in partnership with Product Engineering.
• Translate behavioral data into commercial implications that influence merchandising, marketing, inventory, and operational decisions.
• Ensure behavioral insights are aligned with downstream systems and financial realities.
• Reconcile demand, margin, inventory, and operational perspectives into cohesive performance narratives.
• Support planning, forecasting, and performance alignment across Finance, Retail, Merchandising, and Operations.
• Challenge assumptions and reframe business narratives using data-backed insight.
• Serve as a connector between commercial strategy and operational execution.
• Establish analytical standards that prioritize clarity, trust, commercial relevance, and decision impact.
• Reduce reactive ad hoc work by building scalable, decision-focused reporting and automation frameworks.
• Design the structure, workflows, and expectations for the analytics function.
• Hire, mentor, and develop junior analytics talent once foundational systems are established.
• Champion a modern, insight-driven analytics culture across the company.

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Senior Product Manager – E-Commerce

Web Developer – Ecommerce

Director, Ecommerce and Marketing Analytics