Principal Technical Program Manager, Region Flexibility & Efficiency

Amazon is hiring a Principal Technical Program Manager, Region Flexibility & Efficiency in Seattle, United States. It pays $177k-$239k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Uses AI ●●○○ is how Level rates this role: an ordinary role that requires AI tools.
The posting mentions distributed systems, program management and infrastructure optimization among its tools and skills.
Level classes it as a lead role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Lead critical infrastructure efficiency and region flexibility programs, utilizing agentic AI to automate optimization.

distributed-systemsprogram-managementinfrastructure-optimizationcloud-computing

Amazon is seeking a Principal Technical Program Manager to join the team that owns Amazon's most critical infrastructure efficiency and region flexibility programs. You will drive initiatives that span petabyte-scale memory optimization, multi-region capacity balancing across global datacenters, and architectural changes that enable Amazon's services to operate resiliently and efficiently across AWS regions.

The scope is broad: enabling services to break region coupling for improved blast radius containment, driving capacity reduction programs that directly shape Amazon's datacenter investment strategy, building fleet intelligence platforms that power data-driven optimization across hundreds of engineering teams, and applying agentic AI to automate infrastructure optimization at scale (from autonomous code-level performance improvements to AI-driven capacity recommendations).

As a Principal TPM, you will define multi-year program strategy, build the mechanisms that drive execution across hundreds of engineering teams, and own the narrative to the most senior levels of leadership. You'll operate in deep ambiguity, translating infrastructure goals into concrete fleet-level outcomes, making trade-off decisions that balance cost efficiency against service resilience and customer latency, and influencing engineering leaders across organizational boundaries without direct authority. This is a hands-on role: you will dig into technical details, work directly with data and systems, prototype solutions, and personally drive execution rather than delegating from a distance.

This role requires someone who combines deep technical judgment in distributed systems and infrastructure with the ability to operate at SVP and CEO-level strategy, someone who can architect a campaign mechanism that moves hundreds of teams, author the executive document that secures investment for it, and roll up their sleeves to unblock execution when needed.

Key job responsibilities
* Define and own multi-year program strategy and roadmaps for infrastructure efficiency and region flexibility initiatives spanning multiple AWS regions, hundreds of engineering teams, and thousands of services
* Partner with senior engineering leaders and project sponsors to deliver complex cross-functional programs that require fundamental architectural changes across Amazon's software stack
* Build mechanisms that scale execution (intake processes, campaign frameworks, escalation paths, and automation triggers) and iterate on them as programs mature
* Drive adoption of agentic AI capabilities to automate fleet optimization at scale, from autonomous code-level performance improvements to AI-driven capacity recommendations that reduce manual engineering effort across hundreds of teams
* Provide clear, concise communication to senior leadership and stakeholders on program status, risks, and strategic trade-offs through executive documents and program reviews
* Guide engineering teams on architecture, design, and prioritization decisions that balance cost efficiency, service resilience, and customer latency
* Build relationships across Amazon and AWS to leverage existing infrastructure capabilities, promote team initiatives, and influence organizational roadmaps without direct authority
* Manage risk assessment, escalations, and trade-offs between competing business needs, technical constraints, and timeline pressures at scale
* Leverage fleet intelligence platforms and AI-powered optimization agents to identify savings opportunities, prioritize campaigns, and measure outcomes with data-driven rigor
* Mentor and raise the bar for technical program managers in the broader organization

About the team
The Region Flexibility and Efficiency (RFE) organization drives the optimization and resilience of Amazon's global infrastructure. We own programs that shape how Amazon operates across AWS regions, from enabling services to run flexibly across regions to driving petabyte-scale efficiency improvements that directly influence Amazon's infrastructure investment decisions.

Our portfolio spans infrastructure optimization programs, multi-region capacity strategy, fleet intelligence platforms, and agentic AI capabilities that automate performance improvements across hundreds of engineering teams. We support Amazon businesses including Stores, Prime Video, Alexa, and Kindle, and partner closely with AWS teams to improve both internal capabilities and public offerings.

This is a small, high-leverage team where individual contributors have direct impact at the highest levels of leadership. We value technical depth, hands-on execution, and the ability to operate across organizational boundaries. With millions of customers depending on Amazon's infrastructure every day, we build solutions that are robust, scalable, and designed to "just work" at Amazon's full scale.

Basic qualifications

- 10+ years of technical product or program management experience
- 5+ years of working directly with engineering teams experience
- 5+ years of software development experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules

Preferred qualifications

- 8+ years of hands-on work managing complex technology projects experience
- Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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 - 177,000.00 - 239,400.00 USD annually

How we rate this

Principal Technical Program Manager, Region Flexibility & Efficiency at Amazon rates 50 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Principal Technical Program Manager, Region Flexibility & Efficiency is an open job at Amazon.
Level rates this role AI Level 2 of 4: Uses AI.
The listed salary is $177k-$239k a year.
The role is based in US, WA, Seattle.
The job was posted on June 30, 2026.
Seniority: lead.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Distributed SystemsProgram ManagementInfrastructure OptimizationCloud Computing

Questions you could be asked

Tell me about a project where distributed systems was part of your work. What did you do?
Tell me about a project where program management was part of your work. What did you do?
Tell me about a project where infrastructure optimization was part of your work. What did you do?
Tell me about a project where cloud computing was part of your work. What did you do?
This role expects you to use AI tools as part of the job. Which ones have you used, and for what?

Adapt your resume

List these exact terms on your resume: Distributed Systems, Program Management, Infrastructure Optimization, and Cloud Computing. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

Get your CV reviewed before you apply

Send your CV and the role you want next. Your review arrives by email within 3 days.

Get a free CV review Check your resume with the ATS resume checker