Level

Amazon

Sr Tech Infra Program Manager, GenAI S&OP

Amazon is hiring a Sr Tech Infra Program Manager, GenAI S&OP in Seattle, United States. It pays $149k-$201k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Level lists 22,000+ other open roles at Amazon.
  • The role was posted in the last few days.

AI in this role

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.

You’ll join a diverse team of technical infrastructure program managers, software engineers, data specialists, supply chain specialists, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for planning and execution while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

AWS Infrastructure Services (AIS) designs, delivers, and operates the global data-center fleet that powers every AWS service. Our servers, storage, networking, power, and cooling assets in more than 245 countries and territories. We tackle some of the world’s most complex supply-chain problems so our customers can innovate without limits.

In this team you will own core functions that drive planning automation and optimization for the 0-2 year planning horizon for AWS's rapidly growing AI/ML server footprint. You will partner with cross functional teams to deeply understand requirements for servers (power, materials, manufacturing capacity, etc.) and build forward looking plans on what we can deliver and when. Due to the quickly evolving nature of this business, requirements and designs change quickly and often involve long lead time inputs. You will partner with our tech teams to build systems that automate and optimize our planning strategies to enable scaling. Success requires exceptional judgment, a builder’s mindset, and the ability to influence at all levels—from front-line planners to VP- and SVP-level business owners.

Key job responsibilities
Own the global S&OP cycle – Drive an end-to-end, weekly/monthly/quarterly cadence that aligns AWS demand signals with supply, power, and capital plans.
Deliver a trusted signal – Produce a single source of truth that reconciles financial plans, sales & growth outlooks, NPI roadmaps, transition ramps, and prior POR commitments.
Run executive planning forums – Frame one-way vs. two-way-door decisions, articulate trade-offs, and secure leadership alignment across AIS, EC2, S3, EBS, Finance, and Energy.
Architect planning systems – Guide software teams in automating demand-, supply-, and scenario-planning workflows (e.g., Connect, o9, Infor, Manhattan); own interim manual mechanisms until automation is in place.
Build decision frameworks – Develop constrained-planning models that surface risks and levers under power, permitting, or component shortages.
Measure what matters – Define KPIs and dashboards that quantify forecast accuracy, inventory turns, build-plan adherence, and capacity-delivery cycle time.
Champion continuous improvement – Sponsor digital-transformation sprints that simplify processes, eliminate waste, and raise planning maturity across AIS.

Basic qualifications

- 5+ years of program management or technical project management experience
- Bachelor's degree or equivalent in a related technical field
- Experience in program or project management
- Experience leading and collaborating with a large cross-functional team

Preferred qualifications

- Master's degree in a technology field
- Experience in one or more of the following areas: data center or network capacity planning, data center or network infrastructure program/project management, or related technical fields
- Experience owning program strategy, end to end delivery, and communicating results to senior leadership

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 - 148,700.00 - 201,200.00 USD annually

How we rate this

Sr Tech Infra Program Manager, GenAI S&OP at Amazon rates 37 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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.

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