Principal Product Manager - Experimentation Platform

Amazon

Arlington (VA)

On-site

USD 180,000 - 243,000

Full time

22 hours ago
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Job summary

Amazon is seeking a Principal Product Manager-Tech in Arlington, VA to own the Experimentation & Economic Value Platform end-to-end. You will shape the conceptual architecture for interconnected services, drive the product roadmap, and collaborate with engineering to deliver scalable AI-augmented experimentation capabilities.

You will lead design and execution of rigorous randomized trials, define success metrics, and partner with economists and data scientists to ensure reliable production

Qualifications

  • 10+ years of product or program management, product marketing, business development or technology experience.
  • Bachelor's degree required; experience with end-to-end product delivery and roadmaps.
  • Experience owning roadmap strategy and driving product delivery alongside engineering.

Responsibilities

  • Define the Conceptual Architecture for the Experimentation & Economic Value Platform.
  • Own the Product Vision, Roadmap & Prioritization across pricing, marketing, and value workstreams.
  • Build AI-augmented experimentation capabilities and scalable platforms.
  • Drive rigorous experiment design, execution, and interpretation of results.
  • Lead stakeholder engagements and establish streamlined intake and prioritization.

Skills

Product management
Roadmap strategy
Engineering collaboration
Stakeholder engagement
Experimentation

Education

Bachelor's degree
CS/Engineering/Analytics degree

Job description

Amazon is seeking a Principal Product Manager-Tech in Arlington, VA to own the Experimentation & Economic Value Platform end-to-end. You will shape the conceptual architecture for interconnected services, drive the product roadmap, and collaborate with engineering to deliver scalable AI-augmented experimentation capabilities.

You will lead design and execution of rigorous randomized trials, define success metrics, and partner with economists and data scientists to ensure reliable production

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