Product Manager, AI Optimization

KPI Solutions•Sharonville, OH

13d

About The Position

We are seeking a forward-thinking Product Manager to lead the strategy, development, and execution of AI-driven optimization solutions within Warehouse Execution Software (WES). This role focuses on applying artificial intelligence, IoT, and advanced analytics to optimize material flow, improve throughput, reduce downtime, and enhance safety and efficiency across warehouse, logistics, and manufacturing operations. The Product Manager will define the product roadmap and work cross-functionally with engineering, data science, operations, and commercial teams to deliver intelligent, value-creating applications that power next-generation warehouse execution systems.

Requirements

Bachelor’s degree in engineering, Computer Science, Industrial Systems, or related field; MBA preferred.
10+ years of product management experience in warehouse execution, logistics technology, or industrial automation.
Strong understanding of WES/WMS/WCS architectures and material handling systems (AGVs, AMRs, conveyors, robotics, etc.).
Proven experience with AI/ML-based optimization, predictive analytics, and real-time decision-making systems.
Track record of successfully taking products from concept to launch in complex technical environments.
Excellent communication, analytical, and stakeholder management skills.

Responsibilities

Define and own the AI optimization strategy and roadmap for WES, aligning with corporate goals and customer outcomes.
Lead development of advanced optimization features such as predictive maintenance, fleet performance, task orchestration, intelligent routing, resource allocation, and energy management.
Partner with software, data science, and hardware teams to design and deploy AI-powered solutions that integrate seamlessly across automation systems (MHE, AGVs, conveyors, robotics, etc.).
Conduct market analysis and gather customer feedback to identify unmet needs, emerging trends, and innovation opportunities.
Create ROI models, pricing strategies, and go-to-market plans that demonstrate measurable business value.
Ensure all AI-enabled features adhere to safety, data integrity, and regulatory requirements.
Serve as a subject matter expert and champion for AI optimization within WES, representing the product with customers, partners, and internal stakeholders.