AI product Manager

Role Summary

We are seeking an experienced AI Product Manager with strong eCommerce and digital sales experience to define and execute AI-enabled product strategies across the end-to-end digital customer journey. The role will combine product management, eCommerce expertise, AI/GenAI capabilities, customer insights, analytics, and commercial thinking to improve customer experience, conversion, purchase completion, personalization, and revenue growth.

The ideal candidate should be comfortable translating AI technologies such as GenAI/LLMs, RAG, predictive analytics, recommendation/personalization models, and agentic AI into practical commerce capabilities and measurable business outcomes. Your existing internal requirement explicitly calls for understanding AI concepts including machine learning, LLMs, NLP, RAG and predictive analytics.

Roles & Responsibilities

• Own AI Product Vision & Roadmap:  Define and execute the AI product strategy and roadmap for eCommerce and digital sales experiences, aligning customer needs, business objectives, technology capabilities, and revenue goals.
• Drive AI-Powered eCommerce Experiences:  Identify and prioritize AI opportunities across product discovery, search, recommendations, personalization, offers, buy flow, checkout, order completion, and post-purchase experiences, with a clear focus on measurable commercial value. Your internal requirement specifically emphasizes customer-facing purchase experiences and end-to-end digital purchase journeys.
• Translate AI Capabilities into Business Products:  Convert capabilities such as GenAI/LLMs, RAG, predictive analytics, recommendation models, NLP, and agentic AI into well-defined product features, use cases, requirements, and roadmaps.
• Improve Conversion & Revenue Outcomes:  Use funnel analytics, behavioral data, experimentation, customer feedback, and business KPIs to identify friction and optimize conversion, order completion, engagement, and revenue. These outcomes are directly emphasized in your current Product Manager requirement.
• Lead Personalization & Intelligent Decisioning:  Drive AI-enabled personalization across search, recommendations, content, offers, next-best actions, and customer journeys. The AI eCommerce profile in your material specifically highlights AI-personalized search and predictive recommendations.
• Own Product Discovery & Prioritization:  Conduct feature intake, customer/market research, competitive analysis, business-case development, value sizing, and prioritization. Balance customer value, revenue potential, AI feasibility, delivery complexity, and risk.
• Partner Across Business, AI & Technology Teams:  Collaborate with engineering, data science/ML, AI architects, UX/design, analytics, marketing, digital sales, operations, and business stakeholders to take AI products from concept through production adoption. Cross-functional collaboration across design, engineering, analytics and business partners is part of your existing requirement.
• Manage AI Product Lifecycle & Experimentation:
• Own AI products throughout discovery, MVP, experimentation, launch, measurement and continuous optimization. Establish success measures covering both business KPIs and AI/product quality metrics.
• Champion Responsible & Scalable AI
• Ensure AI features are designed with appropriate governance considerations around privacy, security, transparency, responsible AI, data quality, model performance, and customer trust, while maintaining strong business ROI. Your current requirement explicitly connects AI capabilities with ethical standards and measurable ROI.
• Executive Stakeholder Management & Product Storytelling:  Communicate product vision, roadmap, business cases, AI opportunities, performance insights, trade-offs, and outcomes to senior stakeholders. Drive alignment across large stakeholder groups and maintain ownership from strategy through delivery.

Key Experience / Skills

• 8+ years of digital/product management experience, preferably with significant eCommerce or digital sales exposure.
• Strong experience with B2C, B2B or D2C commerce, customer purchase journeys, digital sales funnels and checkout/buy-flow optimization.
• Working knowledge of GenAI, LLMs, RAG, ML, NLP, predictive analytics, recommendation/personalization systems and agentic AI.
• Strong understanding of conversion, funnel analytics, experimentation/A-B testing, customer behavior and revenue optimization.
• Hands-on familiarity with platforms/tools such as Adobe Experience Cloud/Adobe Commerce, Google Analytics, Jira, Figma or comparable ecosystems.
• Ability to bridge business, UX, data/AI and engineering teams.
• Strong roadmap development, prioritization, stakeholder management and executive storytelling skil