← All roles

Principal Product Manager Technical, AWS Applied AI Solutions - Core Services

Amazon· Amazon Web Services (AWS) / AAIS Core Services
Apply on company site
USA, WA, Seattle$181.1k - $245kFull-timePosted 1mo ago

About the role

Own and drive the product strategy, revenue, and adoption for AI Agent Evaluations within the Core Services AI Foundations team. Define long-term vision, lifecycle from concept to GTM, and deliver evaluation tooling, quality scoring, regression testing, and human review workflows for AI-powered agents.

Responsibilities

  • Lead product definition for AI agent evaluation capabilities including customer and market feedback, competitive analysis, and business metrics
  • Define product vision and roadmap for automated evaluation pipelines, human review workflows, and quality benchmarking tools
  • Own product planning and development, ensuring releases meet goals and price positioning
  • Lead product launches and GTM plans to achieve customer and business goals
  • Create and revise GTM strategy and manage pricing for new and existing features in collaboration with finance
  • Collaborate with field and BD teams to drive from POC to pilot to production motions
  • Create and report on service revenue and customer traction for leadership
  • Partner with applied scientists and engineers to translate research into production features
  • Coordinate with dependent teams to integrate evaluation signals with the Core Services AI Foundations platform
  • Interface with technical teams to inform tradeoffs and QA/testing of the product
  • Balance business development with hands-on product writing and engineering collaboration

Qualifications

  • 7+ years of working as a Technical Product Manager experience
  • 5+ years of technical (software development, network development, IT, other related) experience
  • Experience delivering large-scale SaaS, PaaS or LaaS products with full lifecycle responsibility from concept through GTM
  • Experience with machine learning or AI systems, including model evaluation, testing methodologies, or QA frameworks
  • Demonstrated ability to write clear, detailed technical product documents (PR/FAQs, technical specs, architecture diagrams) and drive engineering teams to consensus

Skills

Required:Product lifecycle managementTechnical writingMachine learning / AI systems

Benefits

  • health insurance (medical, dental, vision, prescription) and life insurance options
  • 401(k) matching
  • paid time off
  • parental leave
  • RSUs and sign-on payments as part of compensation package
  • comprehensive benefits information available in job description
Last updated Oct 25, 2026. Interested? Apply on the company site.

About Amazon

Amazon.com, Inc. or its affiliates

liquid-ai-recruiting-target
Company profileWebsite

More open roles at Amazon