Strategic Principal PM — AI Platform & Enablement

Amazon Web Services (AWS)

Seattle (WA)

On-site

USD 177,000 - 239,000

Full time

8 days ago
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Job summary

Amazon Web Services (AWS) is seeking a Principal Technical Program Manager to own end-to-end technical program management of the agentic AI platform development, enablement/badging programs, and demo experience initiatives.

You will coordinate across engineering workstreams, GTM teams, Solutions Architects, and service teams, guiding cross-functional programs from concept through production to scale knowledge assets and customer engagements.

Qualifications

  • 7+ years of technical product or program management experience.
  • 10+ years of experience working directly with engineering teams.
  • Experience managing programs across cross-functional teams and release schedules.
  • Experience building complex software systems delivered to customers.
  • Experience with AI/ML technologies.
  • Strong analytical, detail-oriented, and communicative skills, or software development background.
  • Strong verbal and written communication skills.

Responsibilities

  • Own end-to-end program management for agentic AI solutions and roadmaps.
  • Drive engineering coordination across teams, manage sprints, dependencies, and releases.
  • Identify and mitigate risks across capacity, platform readiness, knowledge accuracy, and change management.
  • Produce monthly VP-level business roll-ups with progress and strategy.

Skills

Technical program management
Engineering coordination
Cross-functional collaboration
AI/ML experience

Education

MBA or Data & AI experience

Job description

Amazon Web Services (AWS) is seeking a Principal Technical Program Manager to own end-to-end technical program management of the agentic AI platform development, enablement/badging programs, and demo experience initiatives.

You will coordinate across engineering workstreams, GTM teams, Solutions Architects, and service teams, guiding cross-functional programs from concept through production to scale knowledge assets and customer engagements.

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