Manager, AI Services

- 10+ years of program or project management experience
- Experience implementing repeatable processes and driving automation or standardization
- 4+ years of managing teams experience

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The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 151,400.00 - 204,800.00 USD annually
Come build the AI platform that lets developers everywhere go from idea to production. You'll lead high-impact programs at the heart of how customers train, customize, and run AI models at massive scale.

We're looking for a hands-on program leader who thrives in ambiguity and loves turning big, messy problems into clear plans that ship. In this role you'll:

Own the strategy and end-to-end delivery of cross-cutting programs that span multiple engineering and product teams
Drive alignment across organizations, making the hard trade-offs and keeping everyone moving toward the same goal
Build repeatable processes and automation that help teams move faster and with higher quality
Partner with engineering, product, and science teams to turn customer pain points into roadmap priorities
Communicate progress, risks, and decisions clearly to senior leaders
If you're energized by the frontier, high ownership, and the chance to shape how the world builds with AI, we'd love to talk to you.

Key job responsibilities
Own the strategy and end-to-end delivery of cross-cutting programs that span multiple engineering, product, and science teams
Build and own long-term roadmaps that improve delivery speed, quality, and operational excellence across our services
Identify trends across programs and influence prioritization so teams invest in the highest-impact work
Drive alignment across organizations, making difficult resource and scope trade-offs and securing buy-in on key priorities
Design repeatable processes, standards, and automation that help teams scale without slowing down
Partner closely with engineering and product leaders to turn customer and builder pain points into roadmap decisions
Communicate status, risks, and trade-offs clearly to senior leadership, and keep stakeholders aligned as plans evolve
Manage and develop a team of program managers, setting a high bar for delivery and ownership

A day in the life
Your day starts with a pulse check on the programs you own. You'll scan where things stand, spot the risks that are about to become problems, and decide where your attention will make the biggest difference. No two days look the same, but the through-line is always the same: you're the person connecting the dots across teams that don't naturally talk to each other.

You'll spend a good chunk of your time with engineers, product managers, and scientists, sometimes in a working session untangling a thorny dependency, sometimes in a quick hallway-style conversation to unblock a decision. When teams disagree on priorities or trade-offs, you're the one who brings them to the table, frames the options, and drives to a call everyone can get behind.

You'll also zoom out regularly. You'll look for patterns across programs, ask whether the process that worked at small scale still holds up, and redesign the things that are slowing people down. Some weeks that means building a cleaner planning rhythm; other weeks it means writing the crisp update that gives senior leaders the clarity they need to make a big bet.

The customers you're ultimately serving are the builders who use these AI services every day. Their pain points become your priorities, and the programs you run are how those problems get solved at scale. It's fast-moving, ambiguous, and genuinely at the frontier of what's possible with AI, which is exactly what makes it fun.