AI Primitives Platform Product Manager

Amazon.com

Vancouver

On-site

CAD 128,000 - 214,000

Full time

10 days ago
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Benefits offered by this job

Health insurance
RRSP
DPSP
Paid time off

Job summary

Amazon.com, in its AI Center of Excellence based in Vancouver, seeks a Product Manager - Technical to own the vision and lifecycle of AI primitives, guiding them from concept through adoption. You will balance product trade-offs with scalable architectures and ensure alignment across scientists, ML engineers, and senior leadership.

The role demands strategic product leadership, strong collaboration across teams, and the ability to translate complex AI problems into actionable roadmaps that drive

Qualifications

  • Bachelor's degree or higher required.
  • Experience owning roadmaps and defining product strategy.
  • Experience delivering features and tradeoffs in a product.
  • Strong engineering discussions around tech decisions and product strategy.
  • Experience managing technical products or online services.

Responsibilities

  • Own end-to-end product lifecycle for AI primitives from discovery to adoption.
  • Define product strategy by translating cross-team problems into clear roadmaps.
  • Drive adoption by partnering with early adopters and generalizing requirements.
  • Evaluate technical proposals with scientists and ML engineers.
  • Make crisp product decisions in ambiguous AI/ML domains with data and insight.
  • Define success metrics that reflect real adoption and impact.
  • Ensure primitives are findable, adoptable, and valuable.

Skills

Roadmap strategy
Cross-team collaboration
Product delivery
Executive stakeholder management
AI/ML domain knowledge

Education

Bachelor's degree
Master's degree in CS/EE or similar

Tools

Tableau
QlikView
Amazon QuickSight

Job description

Amazon.com, in its AI Center of Excellence based in Vancouver, seeks a Product Manager - Technical to own the vision and lifecycle of AI primitives, guiding them from concept through adoption. You will balance product trade-offs with scalable architectures and ensure alignment across scientists, ML engineers, and senior leadership.

The role demands strategic product leadership, strong collaboration across teams, and the ability to translate complex AI problems into actionable roadmaps that drive

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