5 дней назад
Senior Product Manager (Inventory Optimization & ML Allocation)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Product Manager (Inventory Optimization & ML Allocation) (Machine Learning/Supply Chain): Leading the evolution of inventory visibility and allocation from heuristic rules to ML-driven optimization across D2C, retail, and wholesale channels with an accent on real-time inventory data, predictive placement, and algorithmic decision-making. Focus on deploying AI agents for autonomous stock rebalancing, integrating event-driven APIs, and solving complex supply chain and financial risk challenges.
hirify.global">Locati:
hirify.global">Company
develops products and technology for retail and global supply chain operatis.
What you will do
- Own the strategy and reliability of the Inventory Visibility Service, delivering accurate sub-secd inventory counts across the global supply chain.
- Stabilize the existing heuristic allocati engine and improve its performance for reliable daily operatis.
- Lead the transiti from manual rules and heuristic models to ctinuous machine learning forecasting and decisi-making.
- Guide ML optimizati engines for profitable inventory distributi across D2C, retail stores, and wholesale or partner channels.
- Define predictive initial placement models that maximize full-price sell-through and quantify financial risk through metrics such as cost of deviati.
- Deploy real-time AI agents that process external news and market sentiment to trigger automous stock rebalancing.
Requirements
- 8+ years of technical product management experience spanning supply chain optimizati, inventory visibility, OMS, machine learning, and data science.
- Experience stabilizing legacy heuristic rules engines and migrating operatis to algorithmic, ML-driven models.
- Knowledge of optimizati models, probabilistic forecasting, linear programming, or financial risk modeling.
- Experience deploying automous agents, processing unstructured external data, and orchestrating automated decisi workflows.
- Ability to lead cross-functial data science and engineering teams through ctinuous discovery, experimentati, and measurable business outcomes.
- Ability to integrate systems with Microsoft Dynamics 365, OMS, and the Supply Chain Ctrol Tower through event-driven APIs.
Culture & Benefits
- AI-first product domain cnecting data science, physical logistics, and commercial growth.
- Close collaborati with Supply Chain Operatis, Data & AI, science, and engineering teams.
- Outcome-focused product leadership with emphasis experimentati and measurable business impact.
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