Senior Product Manager - AI-Driven Deal Tooling

Amazon Inc.

Chicago (IL)

On-site

USD 151,000 - 205,000

Full time

2 days ago
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Job summary

Amazon Inc. is seeking a Senior Product Manager - Technical to own AI-enabled feature development across the AWS ecosystem, collaborating with stakeholders to define strategy and deliver scalable capabilities through automation and generative AI.

The role blends technical leadership with product management, emphasizing data-driven decisions, end-to-end ownership, and cross‑functional collaboration with Data Engineers and other teams to drive measurable business impact.

Qualifications

  • Bachelor's degree required.
  • Experience owning roadmaps and defining strategy.
  • Experience delivering features and evaluating tradeoffs.
  • Experience contributing to engineering discussions on technology decisions.
  • Experience managing technical products or online services.
  • Experience representing customers during executive prioritization.

Responsibilities

  • Own full lifecycle of new product feature development from concept to launch and iteration.
  • Design AI-powered features with measurable business impact.
  • Lead technical development including hands-on AI integration.
  • Partner with Data Engineers and other stakeholders to define success metrics and measure impact.
  • Translate complex technical concepts for senior leadership.
  • Identify and implement solutions to improve efficiency and scalability.
  • Prioritize features and bug fixes in a fast-paced environment.

Skills

Roadmap strategy
Feature delivery
Engineering discussions
Technical product management
Customer advocacy

Education

Bachelor's degree

Tools

Tableau
QlikView
QuickSight
AWS services

Job description

Amazon Inc. is seeking a Senior Product Manager - Technical to own AI-enabled feature development across the AWS ecosystem, collaborating with stakeholders to define strategy and deliver scalable capabilities through automation and generative AI.

The role blends technical leadership with product management, emphasizing data-driven decisions, end-to-end ownership, and cross‑functional collaboration with Data Engineers and other teams to drive measurable business impact.

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