Principal Technical Infra Program Manager - ML Capacity

Amazon Web Services (AWS)

Seattle (WA)

Hybrid

USD 177,000 - 239,000

Full time

7 days ago
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Job summary

Amazon Data Services, Inc. in Seattle seeks a Principal Technical Infrastructure Program Manager to shape the technical vision, strategy, and roadmap for ML capacity delivery platforms.

You will lead cross-functional teams across systems engineering, software, BI, and operations to translate complex requirements into scalable infrastructure. The role requires a strong track record in leading large programs, building scalable systems, and influencing leadership with data-driven decisions, while

Qualifications

  • 10+ years in program management or tech program management.
  • Experience leading cross-functional engineering teams.
  • Ability to define roadmap strategy and prioritize deliverables.

Responsibilities

  • Own the technical vision and multi-year roadmap (1–3 years) for ML Capacity Delivery systems and tools, aligning investments to priorities.
  • Drive cross-functional alignment across systems engineering, software, BI, operations and planning teams to define requirements and deliver tooling solutions.
  • Architect and deliver scalable platforms that automate capacity delivery workflows and provide visibility into demand, builds, and delivery.

Skills

Program management
Engineering collaboration
Roadmap strategy
Cross-functional leadership

Education

Bachelor's degree in CS/CE/IS

Tools

Automation frameworks
Monitoring
Data center knowledge

Job description

Amazon Data Services, Inc. in Seattle seeks a Principal Technical Infrastructure Program Manager to shape the technical vision, strategy, and roadmap for ML capacity delivery platforms.

You will lead cross-functional teams across systems engineering, software, BI, and operations to translate complex requirements into scalable infrastructure. The role requires a strong track record in leading large programs, building scalable systems, and influencing leadership with data-driven decisions, while

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