Sr. Manager, System Development, Amazon Manufacturing Services

Description We're a fast-growing organization seeking an experienced Sr. Manager, System Development who specializes in advanced manufacturing systems, medium machining operations, and AI-driven automation to lead the design and optimization of high-volume manufacturing facilities for industrial equipment. This senior technical leader will own our smart manufacturing strategy end-to-end — from factory automation architecture and OT systems integration to AI/ML deployment at the edge. You are a systems thinker who understands how machines, software, data, and people interact across the full manufacturing stack. You bring hands-on experience with medium machining environments (roll forming, laser cutting, robotic assembly, powder coating) and know how to translate that domain knowledge into scalable, intelligent production systems. You are a data-driven decision-maker who leverages digital twin modeling, simulation, and AI-powered analytics to rapidly evaluate options and drive decisive action. You bridge the gap between operational technology (OT) and information technology (IT), and you know how to architect systems — not just manage them. Key job responsibilities Systems Architecture & AI Integration

• Lead the design and implementation of AI-enhanced manufacturing systems, including

SCADA, MES, PLC

integration, edge computing, and IT/OT convergence layers

• Define and own the factory automation architecture, establishing integration standards across industrial protocols, data exchange formats, and AI inference pipelines
• Deploy AI/ML models at the edge to enable real-time process control, predictive maintenance, and automated quality inspection
• Develop and validate advanced factory simulation and digital twin models to optimize production flow, capacity, and system interactions
• Medium Machining & Process Engineering
• Apply deep knowledge of medium machining processes — including automated roll forming, laser cutting, powder coating, and robotic assembly cells — to drive process design and optimization
• Lead make-vs-buy decisions and evaluate supplier manufacturing capabilities using advanced analytics and systems-level thinking
• Drive smart factory layout planning and production line balancing with a focus on high-mix, high-volume operations with frequent program changes Team Leadership & Organizational Development
• Lead and develop a team of systems development engineers spanning automation engineering, process engineering, industrial engineering, robotics, and manufacturing systems
• Mentor engineers in emerging technologies including AI/ML integration, OT systems, and Industry 4.0 toolsets
• Establish technical standards, best practices, and a culture of continuous improvement across the manufacturing systems organization
• Build a systems-first, AI-native engineering organization with differentiated capabilities across automation and process disciplines Strategy & Executive Influence
• Develop comprehensive smart manufacturing strategies aligned with business objectives and growth targets
• Interface with and influence executive leadership to define manufacturing vision, resource requirements, and investment priorities for new operations
• Drive rapid, data-backed decision-making using AI-powered analytics, predictive modeling, and real-time manufacturing metrics Basic Qualifications
• Bachelor's degree
• 8+ years of experience in manufacturing systems engineering, factory automation, or related disciplines
• Hands-on experience with medium machining environments and automated production systems (roll forming, laser cutting, robotic assembly, or equivalent)
• Demonstrated experience architecting and deploying OT systems including SCADA, MES, PLC/control systems, and edge computing infrastructure
• Proven track record of integrating AI/ML tools into manufacturing operations (predictive maintenance, quality control, process optimization)
• Experience leading cross-functional engineering teams in a fast-paced, high-growth environment
• Strong understanding of IT/OT convergence, industrial networking protocols, and ISA-95 compliant data models Preferred Qualifications
• 5+ years of managing an engineering team operating at scale experience
• MBA, or Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
• Experience with digital twin modeling and factory simulation tools (e.g., Plant Simulation, Tecnomatix, or equivalent)
• Familiarity with AI orchestration frameworks and edge AI deployment in manufacturing environments
• Experience with high-mix robotic assembly cells and automated material handling systems
• Background in systems engineering methodologies and integration architecture documentation 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

• 197,900.00
• 267,800.

00 USD annually