Drimva

Amazon

Principal Product Manager, Technical, Amazon Retail Ad Service

$180K–$268K

New York, NY +1 · Principal · Full-time · Posted Oct 9, 2026

Location
New York, NY
SEATTLE, WA
Experience
7+ years of end to end product delivery experience; 7+ years of technical product or program management experience. Preferred: 6+ years of performance in an online advertising role.
Education
Bachelor's degree

About the job

Defines and leads the roadmap for Amazon Retail Ad Service, helping retail partners launch and grow advertising businesses through retailer-focused products and GenAI capabilities.

What you'll do

  • Own the multi-year product vision and roadmap for the retailer experience, balancing retailer value and business outcomes.
  • Lead cross-functional product initiatives from opportunity identification and requirements through launch and iteration; define experiments and success metrics.
  • Evaluate GenAI-powered capabilities for retailer onboarding and optimization, and influence organizational priorities through written and executive communications.

What they ask for

  • Bachelor's degree
  • 7+ years of end to end product delivery experience and 7+ years of technical product or program management experience
  • Experience owning/driving roadmap strategy and definition, delivering product features, and making trade-offs
  • Experience leading engineering discussions about product technology decisions and strategy, influencing senior stakeholders, and deep understanding of advertising technologies (e.g., ad server, DSP)

Nice to have

  • Experience working directly with Engineers on product enhancements
  • Experience in project management methodologies, business analysis, or process improvement; online advertising experience and familiarity with ad serving technologies; or building high-velocity ad products

Pay

USD 197,900.00 - 267,800.00 annually base salary; USD 179,900.00 - 243,400.00 annually base salary

Tools

GenAI, ad server, DSP

AI focus

Identify and evaluate GenAI-powered capabilities to accelerate retailer onboarding and optimization.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 5, 2026 (UTC)