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Principal Product Manager Tech, Amazon Talent Solutions

Amazon

Principal Product Manager Tech, Amazon Talent Solutions

full-timePosted: Jun 15, 2026Updated: Aug 27, 2026Seattle, Washington, United States

Job Description

About the Role We are looking for a Principal Product Manager - Tech to join us in Seattle and be part of a transformation from disconnected talent tools into a unified, AI-native talent management platform. You will define the product experience for Talent Evaluation at Amazon, through connecting multiple product domains, coordinating across engineering teams and multiple VP-level organizations, and owning the end-to-end customer experience for corporate Amazonians navigating their growth and development at Amazon. This role goes beyond product execution - you will influence and advise Directors and VPs on product tradeoffs, invent new approaches to long-standing problems, and build the cross-organizational partnerships required to deliver a platform that serves Amazon's entire corporate population. Key job responsibilities * Define and drive the multi-year product vision and roadmap for ITDS's unified talent evaluation solution * Own the end-to-end customer experience strategy, working backwards from what corporate Amazonians need to grow, develop, and be recognized * Design solutions that are flexible and configurable to meet the diverse needs of business line teams across Amazon * Lead product strategy for AI-native capabilities (e.g., AI-driven talent insights, generative AI for evaluations, intelligent workflow automation) * Coordinate across 6 engineering teams and 6 product domains to drive shared infrastructure adoption and a cohesive platform architecture * Represent ITDS in VP-level technical and business forums; influence resource allocation and organizational priorities * Stand up the mechanisms (reviews, planning processes, shared metrics) that make a multi-team org operate as one product team * Make high-stakes tradeoffs between near-term delivery commitments and long-term platform investment * Build and maintain cross-org partnerships with HR, corporate engineering, and business leadership stakeholders A day in the life You Are a Fit If You * Operate at the strategic level: you define the roadmap, not just execute one * See system-level patterns across multiple organizations, architectures, and customer journeys * Have the technical depth to engage meaningfully with engineering teams on architecture, integration design, and data modeling * Exercise sound judgment on high-ambiguity tradeoffs where the "right answer" isn't obvious * Lead through influence without direct authority: aligning Directors, VPs, and peer PMs around a shared direction * Thrive in environments where you must create clarity from complexity and build consensus across competing priorities About the team The Integrated Talent Development Systems (ITDS) team, part of Amazon Talent Solutions (ATS), builds the systems Amazon uses to make its most consequential people decisions - evaluations, promotions, role transitions, and performance management for hundreds of thousands of corporate employees worldwide. Our mission is to transform talent management at Amazon: empowering employees to focus on growth, invention, and customer impact while ensuring that talent decisions are made effectively, and efficiently while raising the quality of talent. Getting these decisions right is foundational to Amazon's ability to operate and grow.

Locations

  • Seattle, Washington, United States

Salary

179,900 - 243,400 USD / yearly

Skills Required

  • feature deliveryintermediate
  • AI/ML technologiesintermediate
  • talent managementintermediate
  • platform thinking — shared servicesintermediate

Required Qualifications

  • Bachelor's degree (degree)
  • 7+ years of end to end product delivery experience (experience, 7 years)
  • Experience with feature delivery and tradeoffs of a product (experience)
  • Experience operating in large, matrixed organizations with multiple engineering teams and senior stakeholders (experience)

Preferred Qualifications

  • Experience with AI/ML technologies (experience)
  • Experience with talent management, HR technology, or people systems (experience)
  • Deep familiarity with platform thinking — shared services, APIs, extensibility, and multi-tenant architectures (experience)

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