Senior GenAI & Personalization Product Marketing Manager

Amazon

Seattle (WA)

On-site

USD 143,000 - 193,000

Full time

4 days ago
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Job summary

Amazon is seeking a Sr. Product Marketing Manager for GenAI & Personalization in North America Stores Marketing.

You will partner with Engineering, Product, and Creative teams to scale AI-driven merchandising and marketing tools across global locales, onboarding new GenAI capabilities and defining KPI-driven experiments. A day in the life includes coordinating with Tech, Science, and Marketing partners to translate requirements into actionable roadmaps and BRDs, with a focus on customer-first AI

Qualifications

  • 6+ years of professional marketing experience in tech or consumer software.
  • Experience using data and metrics to drive improvements.
  • Experience building and scaling cross-functional marketing programs.
  • Experience leading GTM for software or hardware product launches.
  • Familiarity with GenAI tools and usage in marketing workflows.

Responsibilities

  • Partner with Engineering, Product, and Science to co-develop roadmaps for GenAI tools.
  • Influence Tech partners to build AI-powered tools with a customer-first focus.
  • Author Business Requirement Documents translating business needs into technical specs.
  • Own experimentation roadmap to test AI-powered recommendations.
  • Run experiments and coordinate with Marketers to conduct tests.
  • Develop feedback loops sharing Marketer input with Tech and Creative teams.
  • Translate marketing tasks into tech roadmap guidance and 3YP.

Skills

Marketing strategy
Data-driven
Cross-functional leadership
Go-to-market launches
GenAI awareness

Tools

Excel
Tableau
SQL

Job description

Amazon is seeking a Sr. Product Marketing Manager for GenAI & Personalization in North America Stores Marketing.

You will partner with Engineering, Product, and Creative teams to scale AI-driven merchandising and marketing tools across global locales, onboarding new GenAI capabilities and defining KPI-driven experiments. A day in the life includes coordinating with Tech, Science, and Marketing partners to translate requirements into actionable roadmaps and BRDs, with a focus on customer-first AI

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