Senior Product Manager - Shenzhen
Purpose of Position The Senior Product Manager, Supply Chain Management will be responsible for driving the product strategy, roadmap, and execution of supply chain technology solutions that support planning, inventory, fulfillment, logistics, and operational excellence across the organization. The incumbent will work closely with business, operations, engineering, data, and external partners to deliver scalable and impactful product capabilities that improve efficiency, visibility, and decision-making. The incumbent is expected to bring strong domain knowledge in supply chain management together with practical experience in AI, data science, and advanced analytics to identify high-value opportunities, optimize workflows, and introduce innovative product capabilities that enhance forecasting, exception management, productivity, and business performance. Job Description Define and drive the product vision, roadmap, and backlog for supply chain management products and capabilities, covering areas such as demand planning, inventory management, replenishment, order orchestration, fulfillment, warehousing, logistics, and supply chain visibility. Partner closely with business stakeholders, supply chain operations, planning, sourcing, logistics, customer service, and technology teams to gather requirements, define priorities, and translate business needs into scalable product solutions and technical specifications. Lead end-to-end product lifecycle management from discovery and business case development through solution design, delivery, testing, rollout, adoption, and continuous improvement. Identify pain points and improvement opportunities across supply chain workflows, and develop product enhancements that improve service level, inventory health, speed, cost efficiency, operational control, and customer experience. Drive AI-enabled product initiatives in the SCM domain, including demand forecasting, replenishment optimization, allocation logic, anomaly detection, exception management, intelligent recommendations, and LLM-based productivity or decision-support use cases. Work closely with engineering, architecture, data, and analytics teams to ensure SCM products and AI capabilities are scalable, reliable, secure, and well integrated with enterprise platforms such as ERP, OMS, WMS, TMS, and reporting solutions. Collaborate with data science and analytics teams to define use cases, evaluation methodologies, performance measures, and measurable business outcomes for AI and algorithm-driven product capabilities. Develop strong product requirements, user stories, process flows, KPI definitions, and success metrics to ensure clarity of scope, strong alignment, and measurable delivery outcomes. Prioritize product backlog based on business impact, operational urgency, feasibility, technical dependencies, and resource availability, while balancing short-term fixes with long-term platform value. Monitor product performance through data, operational metrics...