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Sr. Product Manager, Recruiting Operations Center

Amazon

Sr. Product Manager, Recruiting Operations Center

full-timePosted: Jul 23, 2026Updated: Aug 27, 2026Seattle, Washington, United States

Job Description

We are seeking a strategic Product Manager to lead the transformation of recruiting analytics from static reporting into a governed, AI-powered experience. In this role, you will define the product boundaries between deterministic reporting and AI-driven exploration, own the governance framework that makes AI trustworthy at scale, and drive the adoption strategy that moves teams from ungoverned workarounds to certified tooling. This role sits at the intersection of persona-driven product strategy and AI enablement. You will define how recruiting leaders and managers each interact with data based on the decisions they make and the cadence they operate on, then ensure each persona's experience evolves toward the right combination of validation, exploration, and automation. A successful candidate will be customer focused, highly analytical, resourceful, a big thinker, a strong writer, and able to operate at all levels of the organization. Key job responsibilities - Define the product boundary framework between governed reporting surfaces and AI-powered exploration, informed by persona decision cadences and workflows - Own the AI governance framework: standards for accuracy, consistency, reproducibility, and data security as AI scales - Define and execute the forcing function strategy that retires legacy experiences and drives adoption toward governed tooling - Translate persona workflows into product requirements, understanding how different roles need different analytical experiences based on the work they perform - Own the customer success model for AI adoption: enablement programs, embedded support, scalable frameworks, and feedback loops that feed the product roadmap - Establish and track adoption metrics: governed usage, self-serve absorption, intake deflection, and time-to-insight improvements - Balance strategic vision with tactical execution, understanding causal connections between input health metrics and delivery outcomes About the team We deliver insights that enable decision-making across a large-scale recruiting organization. We define the analytical strategy, govern metric standards, drive customer adoption, and coordinate the reporting infrastructure that recruiting leaders, managers, and operational teams rely on daily. We are building toward a future where recruiting teams validate through dashboards, explore through AI, and generate automated reports, all on certified data. This is a high-impact role that will directly influence how recruiting teams make decisions across the hiring lifecycle.

Locations

  • Seattle, Washington, United States

Salary

136,000 - 184,100 USD / yearly

Skills Required

  • end to end product deliveryintermediate
  • feature deliveryintermediate
  • influencing senior leadership through data driven insightsintermediate

Required Qualifications

  • 5+ years of product or program management, product marketing, business development or technology experience (experience, 5 years)
  • Bachelor's degree or equivalent (degree in equivalent)
  • Experience owning/driving roadmap strategy and definition (experience)
  • Experience with end to end product delivery (experience)
  • Experience with feature delivery and tradeoffs of a product (experience)
  • Experience as a product manager or owner (experience)
  • Experience owning technology products (experience)

Preferred Qualifications

  • Experience in influencing senior leadership through data driven insights (experience)
  • Experience working across functional teams and senior stakeholders (experience)

Responsibilities

  • Define the product boundary framework between governed reporting surfaces and AI-powered exploration, informed by persona decision cadences and workflows
  • Own the AI governance framework: standards for accuracy, consistency, reproducibility, and data security as AI scales
  • Define and execute the forcing function strategy that retires legacy experiences and drives adoption toward governed tooling
  • Translate persona workflows into product requirements, understanding how different roles need different analytical experiences based on the work they perform
  • Own the customer success model for AI adoption: enablement programs, embedded support, scalable frameworks, and feedback loops that feed the product roadmap
  • Establish and track adoption metrics: governed usage, self-serve absorption, intake deflection, and time-to-insight improvements
  • Balance strategic vision with tactical execution, understanding causal connections between input health metrics and delivery outcomes

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