Sr. Technical Program Manager, AWS Manufacturing Operations

Amazon

Dublin

On-site

EUR 120,000 - 160,000

Full time

14 days+

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Job summary

Amazon's AWS Infrastructure Services in Ireland seeks a seasoned Technical Product/Program Manager to lead global manufacturing layouts and end-to-end material flow across EC2, ML, and Storage platforms.

You will translate capacity plans into data-driven factory layouts, coordinate power and cooling infrastructure, and drive continuous improvements with cross-functional teams, communicating effectively with executives while evangelizing automation.

Qualifications

  • Bachelor's degree in engineering, computer science or equivalent.
  • 5+ years of technical product or program management experience.
  • 5+ years of technical program management working directly with software engineering teams.
  • 7+ years of working directly with engineering teams.
  • 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—especially 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.
  • Act as an evangelist for teaching automation to the organization.
  • Ability to multitask on several concurrent projects ranging from medium to high complexity.

Skills

Stakeholder communication
Cross-functional collaboration
Multitasking

Education

Bachelor's degree in engineering, CS or equivalent

Tools

FlexSim
Plant Simulation

Job description

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that keep customers with continual access to the innovation they rely on.

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles to deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers.

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—especially 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.
  • Act as an evangelist for teaching automation to the organization.
  • Ability to multitask on several concurrent projects ranging from medium to high complexity.
Basic Qualifications
  • Bachelor's degree in engineering, computer science or equivalent.
  • 5+ years of technical product or program management experience.
  • 5+ years of technical program management working directly with software engineering teams.
  • 7+ years of working directly with engineering teams.
  • Experience managing programs across cross‑functional teams, building processes and coordinating release schedules.
Preferred Qualifications
  • 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience.
  • Experience managing projects across cross‑functional teams, building sustainable processes and coordinating release schedules.
  • Experience defining KPIs/SLA’s used to drive multi‑million dollar businesses and reporting to senior leadership.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates.

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.

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