Drimva

Amazon

Sr Technical Product Marketing Manager, AI/ML Product Marketing, AWS AI Marketing

$162K–$219K

Boston, MA +3 · Manager · Full-time · Posted Oct 17, 2026

Location
Boston, MA
Seattle, WA
Santa Clara, CA
San Francisco, CA
Experience
5+ years in specified technology domains; 5+ years of direct customer work on cloud or AI technology adoption.
Education
Bachelor's degree in a relevant field or equivalent work experience.

About the job

Shapes product strategy, positioning, messaging, launches, and customer-facing technical content for AWS AI products, including Amazon SageMaker AI.

What you'll do

  • Define target customers, use cases, differentiators, and product positioning with product teams.
  • Analyze market and customer feedback to identify opportunities and inform portfolio strategy; lead product launch planning and execution.
  • Create technical content and enablement, and represent AWS in executive briefings, industry events, and analyst interactions.

What they ask for

  • Bachelor's degree in a relevant field or equivalent work experience.
  • Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and model execution optimization, or programming experience in at least one language.
  • 5+ years of experience in specified technology domains, such as software development, cloud computing, systems engineering, infrastructure, security, networking, or data & analytics.
  • Experience writing technical content for technical audiences and 5+ years of direct customer work on cloud or AI technology adoption.

Nice to have

  • Experience taking technology products to market; AI/ML technology experience.
  • Experience presenting to technical and non-technical executive audiences; MBA or relevant Master's degree.

Pay

USD 161,900.00 - 218,600.00 annually (base salary)

Tools

Machine Learning, Large Language Model, Amazon SageMaker AI, AWS

AI focus

Product marketing for AI products, including understanding foundation model training and inference, AI/ML use cases, and customer adoption.

Model-written summary · the original posting is authoritative

First seen Oct 17, 2026 · Last verified Nov 6, 2026 (UTC)