Drimva

Amazon

Senior Product Marketing Manager — Tech, Serverless & Containers, AWS Product Marketing

$147K–$219K

Boston, MA +3 · Manager · Full-time · Posted Mar 9, 2026

Location
Boston, MA
Santa Clara, CA
Seattle, WA
Arlington, VA
Experience
5+ years of direct work with cloud hosting technologies.
Education
Bachelor's degree in a relevant field or equivalent work experience.

About the job

Owns product positioning, launches, and go-to-market narratives for AWS serverless and container products, translating technical architectures into customer value and informing product strategy.

What you'll do

  • Lead positioning and launches across AWS Serverless and Containers products, from messaging through post-launch iteration.
  • Create technical narratives, demos, and reference architectures; represent products in executive, analyst, and field engagements.
  • Synthesize customer, competitive, analyst, and usage signals into product recommendations and coordinate go-to-market work across teams.

What they ask for

  • 5+ years of direct work with cloud hosting technologies (AWS, Azure, etc.) experience.
  • Bachelor's degree in a relevant field or equivalent work experience.
  • Experience conveying complex technical concepts to both technical and business audiences.

Nice to have

  • Experience shaping business strategy for technical products or services for large enterprises or partners.
  • Experience with AWS (or other provider) container management/serverless offerings; technical demonstrations and reference architectures; or presenting to executive audiences and industry analysts.

Pay

USD 161,900.00 - 218,600.00 annually (base salary); USD 147,200.00 - 198,700.00 annually (base salary)

Tools

AWS Lambda, Lambda durable functions, Lambda MicroVMs, Amazon EventBridge, AWS Step Functions, Amazon ECS, Amazon EKS, AWS Fargate

AI focus

Define AWS’s positioning in AI infrastructure, including isolated execution of AI-generated code with Lambda MicroVMs, durable functions for agentic workflows, and Kubernetes and ECS for AI training and inference.

Model-written summary · the original posting is authoritative

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