Principal Product Manager - Inventory Intelligence

Summary As Principal Product Manager for Inventory Intelligence you will lead the development of AI-powered optimization models and orchestration platforms to automate inventory decisioning across the retail network. You will work hands‑on with data science and engineering to translate complex business problems into mathematical models, validate performance through back‑testing and A/B testing, and architect scalable systems that make real‑time decisions across millions of SKUs and hundreds of locations. Responsibilities Develop mathematical optimization models for inventory positioning, dynamic allocation, replenishment, rebalancing, and recovery decisions. Collaborate hands‑on with data scientists on model architecture, feature engineering, algorithm selection, and hyperparameter tuning. Build and define requirements for model serving infrastructure, real‑time data pipelines, and integration with warehouse and transportation systems. Design and execute backtesting and A/B testing strategies; define and track technical and business KPIs for model performance. Architect orchestration capabilities that coordinate specialized AI models to enable autonomous inventory decisions. Translate cross‑functional business requirements into technical optimization problems and data contracts; partner with Supply Chain, Merchandising, Finance, and Operations. Drive the technical product roadmap, conduct discovery and feasibility assessments, and lead build vs. buy decisions. Requirements 10+ years of product management experience with deep focus on AI/ML product development, mathematical optimization, or data science‑driven products. Proven track record building and shipping production AI/ML systems at scale and working hands‑on with data scientists on deployment and validation. Strong technical background in optimization, operations research, machine learning, or related quantitative fields; Bachelor's required, Master's or PhD preferred. Deep understanding of model validation methodologies including backtesting, A/B testing, precision/recall metrics, and production monitoring. Experience with optimization problems in supply chain, inventory management, logistics, or similar domains preferred. Excellent technical communication skills and ability to influence senior stakeholders, including VP and C-level executives. Proven ability to work in highly cross‑functional, matrixed environments and drive results in ambiguous, greenfield problem spaces. #J-18808-Ljbffr