Description
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help.
You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
We are seeking a Manufacturing Operations and Industrial Engineering Program Manager to help us fuel AWS' explosive growth. This role is the single-threaded owner of factory layout and material flow design across AWS rack fulfillment manufacturing sites. You will work at the intersection of capacity planning, automation engineering, construction, and operations - spanning EC2, Machine Learning, and Storage hardware platforms in AWS manufacturing. Your work directly enables AWS to meet datacenter capacity commitments by ensuring manufacturing infrastructure scales efficiently, reliably, and repeatably across a global site network. Possessing strong leadership, influencing skills, and technical depth are critical elements of success for this role. This leader will establish manufacturing standards and publish process control guidelines to assure flawless ramp into volume manufacturing.
Key job 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
Basic Qualifications
3+ years of technical product or program management experience
2+ years of software development experience
3+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
Experience managing programs across cross functional teams, building processes and coordinating release schedules
Preferred Qualifications
3+ years of working directly with engineering teams experience
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, KY, Cincinnati - 127,100.00 - 172,000.00 USD annually
USA, UT, Salt Lake City - 127,100.00 - 172,000.00 USD annually
USA, WA, Bellevue - 127,100.00 - 172,000.00 USD annually
