Drimva

Amazon

Product Manager III - Tech, Reputation Marketing & Insights

$151K–$225K

Seattle, WA +2 · Manager · Full-time · Posted Jul 21, 2026

Location
Seattle, WA
Arlington, VA
New York, NY
Experience
7+ years of product or program management, product marketing, business development, or technology experience.

About the job

Owns the strategy, roadmap, and delivery of survey-based measurement products and scalable research infrastructure for Reputation Marketing & Insights.

What you'll do

  • Lead measurement products from audience definition and survey design through data integration, analysis, and stakeholder-facing outputs.
  • Define technical requirements and connect survey data with operational signals to explain and optimize measurement results.
  • Evaluate AI/ML tools and manage research agency partnerships, including build-versus-buy decisions.

What they ask for

  • Experience owning or driving product roadmap strategy and definition, delivering product features, and contributing to engineering technology decisions.
  • Experience managing technical products or online services and developing, prototyping, piloting, and launching analytic products in an operational environment.
  • 7+ years of product or program management, product marketing, business development, or technology experience.
  • Experience leading and influencing teams or organizations, or knowledge of Machine Learning and Large Language Model fundamentals; experience with cloud platforms, databases, AI development tools, open-source projects, and/or version control systems.

Nice to have

  • Experience analyzing quantitative data and using customer research, data, and metrics to assess marketing programs.
  • Experience with research vendors or a media company research group; familiarity with explainable machine learning and artificial intelligence methodologies and tools.

Pay

166,300.00 - 225,000.00 USD annually (base salary); 151,200.00 - 204,600.00 USD annually (base salary); 151,200.00 - 204,600.00 USD annually (base salary)

Tools

Machine Learning, Large Language Model, Cloud platforms, AWS, SQL, NoSQL, AI tools, version control systems

AI focus

Evaluate AI/ML tools, large language models, and agentic frameworks to accelerate research workflows, improve analytical depth, and reduce manual vendor processes.

Model-written summary · the original posting is authoritative

First seen Oct 15, 2026 · Last verified Nov 6, 2026 (UTC)