A
Not Specified Permanent

Seattle, Washington · USA job

Principal PM-T, Customer Success Intelligence Team , AWS Specialist and Partner Organization

AmazonWebServices

Seattle, Washington

Job description

Overview

In this role you own the end-to-end lifecycle of CS Intelligence tooling that drives measurable customer value after deployment. You translate field needs into platform capabilities and design scalable ML-driven architectures. You'll collaborate across service and field teams to deliver integrated experiences, lead multi-region launches, and measure outcomes to inform product decisions. This high-visibility role blends technical leadership with strategic execution to scale customer success at AWS.

Compensation / Benefits
  • health insurance (medical, dental, vision)
  • RSUs and sign-on incentives
  • 401(k) matching
  • paid time off and parental leave
  • EAP and mental health support
  • flexible working culture
Responsibilities
  • Own end-to-end product lifecycle for CS Intelligence tooling and systems from vision to post-launch iteration
  • Create PRFAQs, BRDs, and technical specs translating field and partner needs into platform capabilities
  • Design system architectures for data ingestion, scoring, and workflow automation at AWS scale
  • Collaborate with SDEs and engineering leads on sprint planning, backlog prioritization, and build/buy/partner trade-offs
  • Lead beta programs, UAT, and multi-region launches with structured rollout plans
  • Define and track success metrics from model-level performance to customer outcomes to steer product decisions
  • Work with cross-functional teams including service, field engineering, data science, UX, and operations
  • Navigate legal, compliance, privacy, and data-sharing gates for launches
  • Manage multiple concurrent product streams with varied timelines
  • Present to AWS leadership at VP level strategy reviews
Key requirements
  • 7+ years of technical product management, program management, or engineering experience
  • Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience
  • Experience owning and driving product roadmap strategy and definition
  • Experience writing PRDs, technical specifications, and business requirements documents
  • Experience designing system architectures for distributed systems
  • Experience with sprint planning, backlog prioritization, and agile processes
  • Experience launching products through multi-region readiness, legal, and compliance gates
  • Track record shipping products for technical audiences (engineers, PMs, developers)
  • customer-centric mindset
  • strong communication skills
  • cross-functional collaboration
  • ML/model-driven product capabilities
  • agentic systems or AI-in-production experience
  • data ingestion and data pipeline design

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