Sr Product Manager - Enterprise Systems & AI Automation , OMHS

Amazon

Bellevue, WA

Apply

JOB DETAILS

SKILLS

AS 9100, Aerospace and Defense, Amazon Web Services (AWS), Artificial Intelligence (AI), Automation, Automotive Industry, Building Systems, Business Case, Cloud Computing, Communication Skills, Computer Engineering, Computer Science, Control Engineering, Control Systems, Cost Control, Cross-Functional, Data Modeling, ERP (Enterprise Resource Planning), Electrical Engineering, Enterprise Architecture, Finance, Functional Programming Languages, Green Construction, ISO 9001, Industrial Coating, Industrial Design, Industrial Engineering, Industry Standards, Internet of Things, Leadership, Leading Edge Technology, Management Strategy, Manufacturing, Manufacturing Automation, Manufacturing Execution Systems (MES), Manufacturing Management, Manufacturing Operations, Manufacturing Software, Manufacturing Systems, Manufacturing Technology, Manufacturing/Industrial Processes, Mechanical Engineering, Metal Manufacturing, Metrics, Onboarding, Operational Improvement, Physics, Process Improvement, Product Development, Product Lifecycle Management, Product Management, Product Planning, Product Strategy, Production Control, Production Machining, Production Planning, Production Schedule, Production Systems, Production Volume, Quality Control, Quality Management, Requirements Management, Resource Management, Scalable System Development, Simulation, Supply Chain Management, Supply Chain Operations, System Architecture, System Integration (SI), System Operations, Systems Administration/Management, Systems Engineering, Technical Delivery, Technical Operations, Technical Presentation, Technical Strategy, Vendor/Supplier Quality Management, Welding

LOCATION

Bellevue, WA

POSTED

30+ days ago

Description 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 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 cutting-edge 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 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 Preferred Qualifications - 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 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 https://amazon.jobs/content/en/how-we-hire/accommodations 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 https://amazon.jobs/en/benefits . USA, WA, BELLEVUE - 151,200.00 - 204,600.00 USD annually USA, WA, Bellevue - 151,200.00 - 204,600.00 USD annually

About the Company

Amazon

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

COMPANY SIZE

10,000 employees or more

INDUSTRY

Other/Not Classified

FOUNDED

1994

WEBSITE

http://Amazon.com/militaryroles