Product Marketing Manager - Tech, Aws Marketing

Amazon Amazon · Big Tech · Seattle, WA · Marketing & PR

Product Marketing Manager for AWS, focusing on AI app and agent building products like Amazon Bedrock. The role involves translating complex cloud solutions into customer value, shaping product strategy, developing messaging, and acting as a product evangelist. Requires a blend of technical and business strategy skills to influence product roadmaps and drive go-to-market strategies for AI offerings.

What you'd actually do

  1. Partner with product management and sales teams to develop portfolio-level strategies
  2. Create and own positioning and messaging that clearly articulates value propositions to customers
  3. Analyze and synthesize market data from multiple sources (including direct customer feedback) to identify product opportunities and shape portfolio strategy
  4. Lead product launch strategies and associated plans, including naming, target audience definition, and marketing vehicles
  5. Develop technical content including presentations, demonstrations, and reference architectures that educate customers on AWS offerings

Skills

Required

  • Experience conveying complex technical concepts to both technical and business audiences
  • 3+ years of direct experience working with customers on cloud technology adoption
  • 3+ years of hands-on experience with cloud architectures in technical domains (e.g., Generative and Agentic AI, Developer Tools)

Nice to have

  • Experience demonstrating strong analytical abilities and confidence in the use of data
  • MBA, or Master's degree
  • Experience developing go-to-market strategies for technical products
  • Track record of creating compelling technical demonstrations and reference architectures
  • Experience presenting to executive-level audiences and industry analysts

What the JD emphasized

  • complex cloud solutions
  • AI app and agent building products
  • Amazon Bedrock, Amazon Bedrock AgentCore, and Strands Agents
  • technical architecture
  • portfolio-level value propositions
  • cloud computing and AI
  • Generative and Agentic AI