Manufacturing Program Manager, Industrial Engineering

Amazon Inc.; Bellevue (WA); On-site; USD 177,000 - 239,000; Full time

Job summary

Amazon Data Services, Inc. in Bellevue, WA is seeking a Manufacturing Operations and Industrial Engineering Program Manager to own factory layout design and material flow across AWS rack fulfillment sites.

You will bridge capacity planning, automation engineering, construction, and operations to scale infrastructure for EC2, ML, and Storage products. You will publish standards, drive continuous improvement, and coordinate with global teams to meet volume ramps, takt time, and throughput targets

Qualifications

• 7+ years of technical product management, program management or engineering experience.
• 10+ years cross-functional experience, or a Bachelor's degree and 6+ years of delivering cross functional projects experience.
• Associate's degree in business administration, finance, economics, computer science, data science, engineering, or other related field, or 5+ years of industrial engineer, operations engineer, manufacturing engineer, or project engineer in a manufacturing environment experience.
• Experience managing programs across cross functional teams, building processes and coordinating release schedules.

Responsibilities

• Translate rack fulfillment capacity plans into data-driven facility layouts for AWS manufacturing operations, designing end-to-end material flow from dock receipt through assembly, integration, test, and dispatch across EC2, Machine Learning, and Storage product platforms
• Design factory floor layouts including automation line stations, manual assembly zones, test positions, sub-assembly areas, burn-in, and repair workflows — determining optimal buffer sizing, automation vs. manual line trade-offs, and material handling system specifications (AMR/AGV routes, conveyors, ASRS) based on cycle time analysis, volume ramp curves, and product mix complexity
• Develop and maintain industrial simulation models (FlexSim, Plant Simulation, or equivalent) to identify bottlenecks, validate throughput assumptions, optimize material flow paths, and establish performance metrics including takt time adherence, buffer occupancy, and transport cycle times
• Coordinate utility and infrastructure requirements (power, cooling, network, compressed air) for each production zone with facilities and construction teams, ensuring infrastructure readiness aligns with layout phasing — particularly for high-density ML accelerator and Storage rack configurations requiring liquid cooling and high-power distribution
• Manage phased layout plans aligned with construction milestones, enabling production in early zones while build-out continues in adjacent areas; own layout change control, produce clear visual documentation (2D/3D layouts, material flow diagrams, phasing overlays), and develop replicable standards across the global manufacturing site network
• Drive continuous improvement and operations sustaining by owning the factory layout as a living document, partnering with Operations, Test, Process, and Automation Engineering teams to implement optimizations that reduce cycle time, improve throughput toward manufacturing-to-ship SLA targets, and enable rapid capacity deployment for new product platform introductions
• Excellent communicator with an ability to concisely and precisely convey information to executives and cross functional teams
• Needs to be an evangelist for teaching Automation to the organization.
• Ability to multitask on several concurrent projects of med to high complexity

Skills

Program management

Cross-functional collaboration

Industrial engineering

Manufacturing operations

Education

Associate's degree in related field

Bachelor's degree + 6+ years cross-functional delivery

Tools

FlexSim

Plant Simulation

Job description

Amazon Data Services, Inc. in Bellevue, WA is seeking a Manufacturing Operations and Industrial Engineering Program Manager to own factory layout design and material flow across AWS rack fulfillment sites.

You will bridge capacity planning, automation engineering, construction, and operations to scale infrastructure for EC2, ML, and Storage products. You will publish standards, drive continuous improvement, and coordinate with global teams to meet volume ramps, takt time, and throughput targets