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Senior Product Manager - Inventory Optimization & ML Allocation
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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.
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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.
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On is an Equal Opportunity Employer. We are committed to creating a work environment that is fair and inclusive, where all decisions related to recruitment, advancement, and retention are free of discrimination.
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