Sr Product Manager - Enterprise Systems & AI Automation , OMHS

Amazon • Bellevue, WA

8d

About The Position

Amazon Manufacturing Services (AMS) is seeking an exceptional Sr. Product
Manager to lead the development and implementation of enterprise systems and
AI-based automation for our advanced manufacturing operations. This role will be
instrumental in building scalable, intelligent manufacturing systems that
integrate cutting-edge artificial intelligence, orchestration automation, and
enterprise platforms to support high-volume production of light industrial
machinery and material handling equipment.

Enterprise Systems Leadership:
Lead the requirements definition and implementation of enterprise
manufacturing systems including Enterprise Resource Planning (ERP), and
Manufacturing Execution Systems (MES)
Drive the integration and onboarding of enterprise platforms across multiple
manufacturing facilities, ensuring seamless data flow and operational visibility
both within facilities and to our internal customers
Lead the development of intelligent orchestration systems that dynamically
coordinate manufacturing workflows, resource allocation, machine programming,
and production sequencing
Develop comprehensive system architectures that connect design, production
planning, shop floor execution, quality management, and supply chain operations
Partner with cross-functional teams including engineering, operations,
finance, and IT to ensure enterprise systems meet business requirements and
scale with organizational growth

AI-Based Automation & Orchestration:
Define and execute product strategy for AI-driven manufacturing automation,
including agentic AI for process optimization, predictive maintenance, and
production scheduling
Lead the development of intelligent orchestration systems that dynamically
coordinate manufacturing workflows, resource allocation, and production
sequencing
Implement model-based and physics-based AI solutions for simulation, real-time
production decision-making, and process parameter optimization
Drive the integration of Industrial Internet of Things (IIoT) technologies
with AI/ML platforms to enable data-driven manufacturing intelligence

Technical Product Development:
Own the product roadmap for manufacturing software systems, balancing
near-term operational needs with long-term strategic capabilities
Define technical requirements for cell-based, event-driven architectures that
support autonomous, scalable manufacturing operations
Collaborate with engineering teams to implement real-time quality inspection,
equipment monitoring, and production optimization systems

Stakeholder Management & Strategy:
Serve as the primary interface between manufacturing operations, engineering
teams, and technology development organizations
Translate complex technical capabilities into business value propositions and
operational improvements
Drive alignment across multiple stakeholders on system requirements,
implementation timelines, and success metrics
Present technical strategies and business cases to senior leadership, securing
resources and organizational support

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, Systems Engineering, Electrical Engineering, or other related discipline
• Experience owning and driving large-scale cross-functional programs
• 12+ years of relevant experience in product management, manufacturing systems, or industrial automation
• Deep understanding of manufacturing operations including fabrication, assembly, quality control, and supply chain management
• Proven experience implementing enterprise systems (ERP, PLM, MES) in manufacturing environments
• Strong technical background with ability to understand and communicate complex system architectures
• Experience with industrial automation technologies, control systems, and manufacturing data integration

Nice To Haves

• Experience working in a cloud based development and production environment such as AWS
• Master's degree in Computer Science, Systems Engineering, Mechanical Engineering, or related engineering discipline
• Experience with controls engineering and industrial machinery, particularly in automated manufacturing environments
• Deep knowledge of fabrication processes for industrial equipment manufacturing including sheet metal fabrication, welding, coating, and assembly operations
• Hands-on experience with AI/ML applications in manufacturing, including predictive maintenance, quality inspection, and process optimization
• Understanding of material handling products, conveyance systems, and industrial equipment design
• Knowledge of Industry 4.0 principles, IIoT protocols (OPC UA, MTConnect, MQTT), and digital twin technologies
• Background in automotive, aerospace, or industrial equipment manufacturing with exposure to high-mix, high-volume operations
• Experience with ISO 9001, AS9100, or other manufacturing quality management systems
• Proven track record of delivering complex technical products from concept through production deployment

Responsibilities

• Ability to design and implement complex, interconnected systems that span physical manufacturing and digital infrastructure
• Strong engineering foundation with ability to engage deeply on technical architecture, data models, and integration patterns
• Capacity to balance immediate operational needs with long-term strategic capabilities and technology evolution
• Exceptional communication skills with ability to influence and align diverse stakeholders across technical and business functions
• Drive to deliver results quickly while building sustainable, scalable solutions
• Deep commitment to understanding manufacturing operations and delivering systems that enable operational excellence

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level