Program Manager Intern, AWS Cloud Logistics

Amazon is hiring a Program Manager Intern, AWS Cloud Logistics in Singapore, Singapore. Level rates it ; you can apply on Amazon.

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Little AI ●○○○ is how Level rates this role: aI is not part of the work.
Level classes it as an internship.
Amazon has 20,000+ other open roles on Level.
Posted in the last few days.

AI in this role

*Internship period: January to June 2027

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 software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security 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 Cloud Logistics (ACL) is looking for a motivated Supply Chain Program Management Intern (Procurement) to join our team in Singapore. In this role, you will drive documentation standardization, process improvement, facilitate sourcing projects, create internal enablement resources and build agentic AI solutions - all within a global supply chain that powers AWS's infrastructure worldwide. You will be able to leverage Amazon's suite of AI tools, Amazon Quick, and its underlying models to optimize your workflow and productivity while continuing to grow and develop your acumen in AI.

Key job responsibilities
- Documentation Standardization & Governance: Lead the standardization of documentation across the team's knowledge base, conducting a comprehensive audit and establishing consistency in format, structure, and content quality. Ensure all customer-facing information is current, accurate, and accessible, implementing a sustainable refresh cadence with clear ownership. Develop a detailed project plan for ongoing documentation maintenance and governance.

- Enablement Flows: Partner with the onboarding and enablement team to design end-to-end flows and playbooks that map the full customer journey within AWS Cloud Logistics. Translate complex, cross-functional processes into clear, repeatable guides that help new joiners and stakeholders ramp quickly and consistently.

- Cross-Functional Collaboration & Stakeholder Input: Gather input from stakeholders across all levels of the organization to ensure enablement materials reflect how the business actually operates. Build feedback loops and review mechanisms so content stays accurate and sustainable well beyond your tenure.

- Continuous Improvement & Automation: Identify opportunities to simplify and streamline how knowledge is captured, maintained, and surfaced - including exploring AI and automation to reduce manual effort and improve discoverability of enablement resources.

A day in the life
No two days look the same, but every day has a rhythm. Your morning might start by supporting an operational task for the team - pulling data, updating a tracker, or preparing materials for an upcoming review. You then jump into a call with internal stakeholders to align on a project deliverable, followed by a session with an external partner to understand how supply chain processes work on the ground. After lunch you meet with your assigned mentor, who helps you connect the dots between your projects and the bigger picture of AWS's cloud computing infrastructure and global supply chain. The afternoon is heads-down time on one of your dedicated projects - maybe drafting a playbook, building out a knowledge base page, or redesigning an enablement module. Between project sprints, you are meeting with teams across different functions and geographies to learn how our end-to-end supply chain operates and how AWS services underpin it. You also have a regular check-in with your manager to review progress, remove blockers, and discuss your development goals. Most days end knowing you have contributed to something the team will use long after your internship ends - and that you understand a little more about how the cloud gets built.

About the team
AWS Cloud Logistics (ACL) manages a continuously evolving portfolio of shipments through a worldwide supply chain. We deliver the right product at the right time, cost, and place - ensuring our AWS supply chain is reliable. You will work in a fast-paced environment where your contributions will have direct impact on operational efficiency and customer experience. Our team values builders who write things down, simplify complexity, and leave processes better than they found them.

Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

#auta-sg #auta-asean

Basic qualifications

- Experience that includes strong analytical skills, attention to detail, and effective communication abilities
- Currently enrolled in school for bachelor or above degree, graduating between Aug 2027 – Aug 2028
- Interest and background in business intelligence and data analytics
- Candidates must be able to legally work in Singapore.
- Able to commit full-time internship.

Preferred qualifications

- Experience building reports/visualizations via QuickSight
- Experience analyzing structured and unstructured data using SQL
- Experience in Excel as main presentation tool for data sets
- Comfort with ambiguity; ability to be flexible in a rapidly changing environment.
- Passion for experiencing new technologies, cultures, and locations around the world

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.

How we rate this

Program Manager Intern, AWS Cloud Logistics at Amazon rates 28 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.

●●●● 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.