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Program Manager, AWS Enterprise Support S&O

Amazon

Program Manager, AWS Enterprise Support S&O

full-timePosted: Jul 13, 2026Updated: Aug 27, 2026Seattle, Washington, United States

Job Description

Amazon Web Services (AWS) provides a scalable cloud computing platform to companies globally. Within AWS Enterprise Support, delivers customer success throughout the cloud adoption lifecycle. Our employees and integrated offerings enable us to combine technology and human expertise to maximize and accelerate customer outcomes. We are seeking a Program Manager to own the strategic and operational roadmap of our Workforce Management (WFM) product. This person will run the execution engine: sprint management, stakeholder coordination, delivery tracking, and operational rhythm. They will also bring a sharp eye for automation and AI, constantly identifying which manual processes can be stripped down, automated, or eliminated entirely. The right candidate thrives in ambiguity, moves fast, and knows when to jump in versus when to build a system that handles it. Key job responsibilities This role requires someone who can balance tactical delivery with a forward-looking mindset on AI-driven efficiency. You'll reduce operational drag while maintaining the quality and reliability of WFM product delivery. - Own day-to-day program execution for the WFM product: sprint planning, backlog grooming, delivery tracking, and stakeholder updates. - Identify and implement automation opportunities across WFM operational processes, reducing manual toil and cycle time, - Apply AI and generative AI tools to streamline recurring tasks (reporting, data pulls, status aggregation, triage) - Coordinate across engineering, data, and business teams to keep WFM product delivery on track and unblocked - Manage competing priorities and shifting requirements with agility; make fast judgment calls on what to pick up, defer, or automate - Build and maintain operational runbooks, process documentation, and automation playbooks - Track and report on delivery metrics, surfacing risks and blockers early to leadership - Drive continuous improvement by measuring what's working, cutting what isn't, and proposing AI-augmented workflows where manual effort is high About the team About AWS Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture: Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Mentorship & Career Growth: We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Locations

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

Salary

74,200 - 129,800 USD / yearly

Skills Required

  • dataintermediate
  • stakeholder managementintermediate

Required Qualifications

  • 3+ years of program or project management experience (experience, 3 years)
  • 3+ years of defining and implementing process improvement initiatives using data and metrics experience (experience, 3 years)
  • Experience using data and metrics to determine and drive improvements (experience)
  • Experience working cross functionally with tech and non-tech teams (experience)

Preferred Qualifications

  • 3+ years of driving end to end delivery, and communicating results to senior leadership experience (experience, 3 years)
  • Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization (experience)

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