Sr. Program Manager, Enterprise AI

Enterprise Foundational AI (EFAI), a team within Enterprise Engineering, accelerates Amazon's AI-native transformation by building, integrating, and scaling foundational AI products and experiences that power Amazonian productivity globally. We're seeking a creative, industrious, customer-obsessed Program Manager who is interested in joining a team with a high-impact mission.

As a Program Manager in our Enterprise Foundational AI organization, you will lead the strategy and execution of complex, cross-functional programs that transform how Amazonians work. You will drive program delivery across foundational AI primitives and core AI products, define program vision and objectives, and ensure that initiatives spanning multiple organizations and geographies deliver measurable business impact at scale.

- Manage the lifecycle of complex cross-functional programs with considerable impact across Amazon's AI-native transformation.

- Define your program (mission, vision, tenets), set objectives, analyze data, and drive improvements that are quantified with metrics.

- Manage the roadmap for the organization, which may include contributing to OP1/OP2 narratives and ownership of one or more organizational goals.

- Drive mindful discussions that lead to crisp decisions, ensuring stakeholder needs are aligned across partner organizations.

- Provide long-term perspective and context for business and technology choices, partner with customers and engineering teams to determine what projects move forward and in what priority order, and make smart trade-offs.

- Oversee the gaps between teams, processes, and systems, proactively identify and mitigate risks before they become roadblocks, and help teams reduce exposure to classic failure modes.

- Influence resource allocation, enlist senior individual contributors and leaders to ensure solutions scale, and demonstrate good judgment in how and when to escalate.

- Regularly review metrics and proactively seek out new and improved data mechanisms for visibility into program health and AI-driven productivity outcomes.

- Create plans with clear, measurable success criteria, clearly communicate progress and outcomes to directors and VPs, and write effective narratives (e.g., Amazon 6-pagers, PR/FAQs, reporting).

- Work with teams to improve concurrent project delivery, streamline or eliminate excess process, and influence teams to decouple from dependencies and eliminate problems that stifle innovation or cause user dissatisfaction.

- Build consensus when confronted with discordant views, actively recruit and develop others through mentoring, and peer feedback.