← 返回岗位列表美国电子商务fulltime

高级技术基础设施项目经理,生成式AI S&OP

雇主

Amazon Data Services, Inc.

地点

Seattle · 美国

待遇

$面议

工作模式

线下

截止日期

1月24日

🤖 AI 简历匹配评估

检测你的简历与该岗位的匹配度,免费

免费评估

岗位摘要

Own the global S&OP cycle for AWS's AI/ML server footprint, driving planning automation and optimiza

岗位职责

AWS Infrastructure Servicesowns 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.

申请条件

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.
Experience partnering with cross-functional teams to understand requirements for servers (power, materials, manufacturing capacity, etc.

雇主简介

Amazon Data Services, Inc. 是亚马逊旗下负责数据中心基础设施的子公司,主要支持AWS云服务的数据中心设计、建设和部署。

对这个岗位感兴趣?

该岗位通过项目服务流程申请,顾问可为您介绍项目详情与申请条件

咨询不收取任何费用,项目顾问将与您联系

申请海外岗位,英文简历符合当地格式规范吗?

AI 自动评估你与该岗位的匹配度,3 分钟出结果

免费评估简历匹配度

数据来源:Amazon

岗位信息来源于公开渠道,版权归原作者所有