Senior AI/ML Infrastructure Planning Lead

Amazon Web Services (AWS)

Seattle (WA)

On-site

USD 177,000 - 239,000

Full time

3 days ago
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Job summary

Amazon Data Services, Inc. in Seattle seeks a senior infrastructure program manager to lead end-to-end planning for a wide portfolio of AI/ML servers, coordinating inputs from across AWS to land servers in data centers on time.

You will engage with senior leaders, drive short- to long-term planning, and implement feedback loops to ensure quality and cost efficiency while maintaining an inclusive culture that welcomes bold ideas.

Qualifications

  • 10+ years of program management, tech program management, or related experience.
  • 10+ years of working directly with engineering teams experience.
  • Experience defining roadmap strategy and prioritizing deliverables for your team products.
  • 4+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience.
  • Bachelor's degree or above in Computer Science, Computer Engineering, Information Management, Information Systems, or other related discipline.
  • Experience managing programs across cross‑functional teams, building processes and coordinating release schedules.

Responsibilities

  • Lead end-to-end planning for a wide portfolio of AI/ML servers across AWS.
  • Engage with senior leaders and working teams to enable timely data center server landings.
  • Develop and maintain mechanisms to identify defects and feedback loops for continuous improvement.

Skills

Program management
Engineering collaboration
Roadmap strategy
Cross-functional coordination
Release planning

Education

Bachelor's degree or above in CS/engineering/IS

Job description

Amazon Data Services, Inc. in Seattle seeks a senior infrastructure program manager to lead end-to-end planning for a wide portfolio of AI/ML servers, coordinating inputs from across AWS to land servers in data centers on time.

You will engage with senior leaders, drive short- to long-term planning, and implement feedback loops to ensure quality and cost efficiency while maintaining an inclusive culture that welcomes bold ideas.

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