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Sr. Program Manager, AUTA, Amazon University Reimagined

Amazon

Sr. Program Manager, AUTA, Amazon University Reimagined

full-timePosted: Aug 16, 2026Updated: Aug 27, 2026Seattle, Washington, United States

Job Description

Are you passionate about orchestrating complex, cross-functional initiatives that transform how Amazon operates globally? The Amazon University Talent Acquisition (AUTA) team is seeking a Program Manager III to lead transformative tech initiatives that unite process, program, and technology needs across Amazon's global talent acquisition ecosystem. In this unique role you'll serve as the strategic bridge between AUTA's business needs and technical solution delivery, ensuring that technology enables our ideal state processes and programs rather than constraining them. Your focus will be on defining and delivering business requirements to our tech teams, ensuring technical teams deliver a solution that meets our business customers', stakeholders', and internal teams' needs and high standards. Key job responsibilities * Refine (or redefine) and champion the ideal-state vision for AUTA top of funnel (attractin, sourcing, and screening) as well as interview scheduling, working across technical, program, and recruiting teams to align on a shared direction that serves business customers, candidates, and recruiters * Lead end-to-end program management of complex cross-functional initiatives with considerable impact, establishing clear success criteria, employing workback plans and mechanisms to keep this project on track, and driving resolution of blockers across multiple stakeholder groups *Communicate clear prioritization of AUTA's most pressing problems/needs and ensuring tech teams design solutions meet diverse user persona needs *Create and maintain comprehensive project information, driving crisp decisions and clear communication of progress, timelines, and escalations to senior leadership and cross-functional stakeholders *Define, monitor, and analyze key performance metrics to identify optimization opportunities, proactively mitigate risks before they become roadblocks, and ensure solutions improve operational efficiency across the global recruitment lifecycle A day in the life You'll partner closely with AUTA teams and customers to understand their unique use cases and challenges, then collaborate with technical teams to ensure solutions align with operational and business needs. Your day involves maintaining a deep knowledge of AUTA's current and ideal-state operating model for demand, making sure that AUTA delivers quality and on-time information to technical teams, partnering with tech on a comprehensive workback schedules, driving intake and prioritization discussions across competing initiatives, analyzing performance metrics to identify opportunities, and coordinating launch readiness and change management planning to support successful rollouts across multiple teams and personas. About the team AURA works within AUTA, Amazon's central campus hiring organization who support recruiting efforts across all streams, most countries, and over 150 roles. The team partners with AUTA to define ideal state processes and programs, then collaborates with technical teams to ensure solutions meet those needs effectively.

Locations

  • Seattle, Washington, United States
  • Arlington, Virginia, United States

Salary

115,600 - 160,000 USD / yearly

Skills Required

  • dataintermediate
  • general AI toolsintermediate

Required Qualifications

  • 5+ years of program or project management experience (experience, 5 years)
  • Experience using data and metrics to determine and drive improvements (experience)
  • Experience owning program strategy, end to end delivery, and communicating results to senior leadership (experience)

Preferred Qualifications

  • 2+ years of driving process improvements experience (experience, 2 years)
  • Master's degree, or MBA in business, operations, human resources, adult education, organizational development, instructional design or related field (degree in mba in business)
  • Knowledge of general AI tools (experience)
  • Experience designing, implementing, and scaling upskilling, apprenticeship, or workforce development programs across large-scale operations or corporate environments, including forecasting workforce needs and leveraging analytics to drive program decisions (experience)

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