
AI Ecommerce Product Manager
Colibri GroupSummary
Senior Product Manager leading a sprint-based ecommerce platform team supporting 11 real estate brands across 4 technology stacks. This execution-oriented role focuses on driving measurable improvements to ecommerce performance, website experience, and platform scalability.
Job Description
Ecommerce Performance & Growth Ownership
Own website performance across multiple brands and platforms, including conversion rate (CVR), average order value (AOV), revenue per visitor, and funnel progression.
Identify and prioritize opportunities to improve conversion, engagement, and monetization.
Drive improvements in merchandising, pricing, packaging, and user experience.
Build the technology roadmap for the websites
AI-Native Product & Development Leadership
Lead the adoption of an AI-driven development model where agents:
• Analyze website performance and user behavior
• Generate hypotheses and recommendations
• Produce designs and implementation plans
• Execute changes (with oversight)
• Run experiments and evaluate results
Act as the human oversight layer, ensuring recommendations align with business strategy, brand standards, and customer needs.
Define guardrails, evaluation criteria, and success metrics for AI-driven changes.
Continuously improve AI workflows to increase speed, quality, and impact.
Experimentation & Optimization
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Own the experimentation roadmap and testing strategy.
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Design and prioritize A/B tests and multivariate experiments.
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Ensure a high velocity of experimentation with clear success metrics and learning loops.
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Translate insights into actionable roadmap decisions.
Cross-Functional Strategy & Influence
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Partner with engineering, CRO, UX/design, marketing, and data teams to align on priorities and execution.
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Influence without direct authority over delivery teams.
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Ensure alignment between website strategy and broader product and business goals.
Multi-Brand Platform Strategy
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Drive consistency and best practices across multiple brands while respecting brand-specific needs.
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Identify opportunities for standardization, scalability, and simplification.
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Balance short-term wins with long-term platform evolution.
Data-Driven Decision Making
Define and track key performance metrics.
Leverage analytics, customer signals, and experimentation results to inform decisions.
Build clear narratives linking product changes to business outcomes.
Proven track record of driving measurable business outcomes (conversion, revenue, engagement).
Strong experience with experimentation, A/B testing, and funnel optimization.
Experience managing complex, multi-brand or multi-platform environments is a plus.
Excellent stakeholder management and communication skills.
Strong analytical mindset and comfort working with data.
High AI fluency required:
• Daily use of AI tools (e.g., ChatGPT, Claude, etc.) in workflows
• Experience applying AI to product development, analysis, or experimentation
• Ability to evaluate AI-generated outputs and guide improvements
• Strong interest in building AI-native workflows and systems
Bachelor’s degree in a relevant field; advanced degree is a plus.
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