Senior Product Manager - Inventory Optimizati and ML Allocati

In short The Inventory Optimization & Allocation domain operates as an AI-first intelligence hub at the critical intersection of data science, physical logistics, and commercial growth. Reporting to the Senior Lead / Head of Supply Chain Technology, the Senior / Lead AI Product Manager owns both real-time inventory visibility and the intelligent allocation of inventory across Direct-to-Consumer (D2C), Retail Stores, and Wholesale/Partner channels. This role guides the evolution from a rules-based heuristic engine to a fully Machine Learning (ML)-driven model, leading with science to define initial allocation strategies and deploy real-time AI agents that dynamically rebalance stock. Your mission

• Own Inventory Visibility: Drive the strategy and reliability for the high-speed Inventory Visibility Service (IVS), ensuring accurate, sub-second inventory counts across every node in the global supply chain network.
• Stabilize Current Systems: Take ownership of the existing heuristic allocation engine, identifying bottlenecks, patching critical logic gaps, and stabilizing performance to guarantee reliable daily operations.
• Guide the ML Transition: Partner closely with Supply Chain Operations to build trust in algorithmic decision-making, mapping the transition from legacy manual rule sets to continuous ML forecasting.
• Shape Optimal Channel Split: Design and guide the development of ML optimization engines that determine the most profitable distribution of inventory across core channels, co-creating a modern architecture alongside Data & AI.
• Define First Allocation Strategy: Establish predictive initial placement models that maximize full-price sell-through at product launch, replacing historical spreading with advanced scientific metrics like the cost of deviation to quantify financial risk.
• Deploy Agentic Signals: Build and launch real-time AI agents that capture external news and market sentiment, connecting these signals directly into allocation workflows to autonomously trigger stock rebalancing.
• Champion Product Leadership: Direct the domain roadmap with a strict focus on outcomes, empowering science and engineering teams to solve foundational business problems while integrating systems with Microsoft Dynamics 365, OMS, and the Supply Chain Control Tower via event-driven APIs. Your story
• Experience: 8+ years of technical product management experience blending core supply chain optimization (inventory visibility/OMS) with machine learning and data science product development.
• System Migration: A proven track record of stabilizing legacy heuristic rules engines and successfully transitioning business operations to algorithmic, ML-driven models.
• Scientific Acumen: Demonstrated literacy in optimization models, probabilistic forecasting, linear programming, or financial risk modeling (e.g., cost of deviation).
• AI Expertise: Strong capabilities in modern AI applications, specifically deploying autonomous agents, processing unstructured external data, and orchestrating automated decision workflows.
• Product Mindset: Proven ability to lead cross-functional science and engineering teams through a true product lens, prioritizing continuous discovery, experimentation, and measurable business impact over project outputs. What We Offer On is a place that is centered around growth and progress. We offer an environment designed to give people the tools to develop holistically – to stay active, to learn, explore and innovate. Our distinctive approach combines a supportive, team-oriented atmosphere, with access to personal self-care for both physical and mental well-being, so each person is led by purpose.