Amazon.com Services LLC - A57

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 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 Key job 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 A day in the life This position offers a unique opportunity to shape the future of advanced manufacturing at Amazon scale. You'll work at the intersection of physical manufacturing and digital technologies, building systems that enable unprecedented levels of automation, intelligence, and operational efficiency. The role requires someone who can think strategically about enterprise architecture while remaining hands-on with technical implementation details. You'll collaborate with world-class engineers, operations leaders, and technology teams to build manufacturing capabilities that set new industry standards. This is a high-visibility role with direct impact on Amazon's ability to innovate rapidly, control quality, and optimize costs across our manufacturing operations. BASIC QUALIFICATIONS - Bachelor's degree - Experience owning/driving roadmap strategy and definition - Experience with feature delivery and tradeoffs of a product - Experience contributing to engineering discussions around technology decisions and strategy related to a product - Experience managing technical products or online services - Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning - Experience that includes strong analytical skills, attention to detail, and effective communication abilities, or experience troubleshooting and debugging technical systems and experience managing full application stacks from the OS up through custom applications - 7+ 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 - Experience with industrial automation technologies, control systems, and manufacturing data integration PREFERRED QUALIFICATIONS - Experience in using analytical tools, such as Tableau, Qlikview, QuickSight - Experience in building and driving adoption of new tools - Master's degree in Computer Science, Computer Engineering, Systems Engineering, Electrical Engineering, or other related discipline - 4+ years of industrial controls and automation experience, or Master's degree in electrical or mechanical engineering, engineering technology or equivalent - Knowledge of automated material handling systems, packaging technologies and storage solutions - Experience in high-volume manufacturing operations or sourcing 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 - Knowledge of Industry 4.0 principles, IIoT protocols (OPC UA, MTConnect, MQTT), and digital twin technologies - Experience with ISO 9001, AS9100, or other manufacturing quality management systems - Proven track record of delivering complex technical products from concept through production deployment Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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, and parental leave. Learn more about our benefits at . USA, WA, Bellevue - 151 600.00 USD annually