Technical Account Manager

Amazon is hiring a Technical Account Manager in Beijing, China. Level rates it ; you can apply on Amazon.

Level's read on this job

Works on AI ●●●○ is how Level rates this role: the daily work is on AI products, without building the model.
Tools and skills the posting cites include AWS, GenAI and Containers.
Level classifies it as a senior role.
Level lists 20,000+ other open roles at Amazon.

AI in this role

Technical Account Manager providing enterprise support and guidance on AWS services and Generative AI solutions.

AWSGenAIContainersBig Data

AWS Applied AI Solutions (AAIS) is building toward a future where every business innovates with Amazon AI teammates. To get there, we build AI solutions that improve human capabilities and transform entire business functions. We create end-to-end products that surprise and delight out-of-the-box, making complex things easy and hard things possible, with no cloud experience required. We start with customers who embrace the future and build bridges to meet the rest where they are. We pursue ambitious opportunities with conviction, and we are looking for builders who share that mindset.

Would you like to join one of the fastest-growing teams within Amazon Web Services (AWS)? Join us in helping customers across all industries to maximize the value and benefits of AWS services and Generative AI solutions.

As a Technical Account Manager (TAM) in AWS Enterprise Support, you will play a crucial role in fostering our customers' innovation and transformative endeavors across various technologies including GenAI, Container, Big Data, and cloud migration. This is not a sales role; instead, it offers you the opportunity to serve as the primary technical advisor and 'voice of the customer' for organizations ranging from start-ups to Fortune 500 enterprises.

Within the Enterprise Support team, TAMs contribute significantly to ensuring the success of key enterprise customers in developing applications and services on the AWS platform. Serving as a strategic expert, TAMs offer guidance on the entire journey of AWS services and the customer's architecture. This support extends to addressing strategy-related queries, aiding in project and launch planning, and resolving operational challenges. TAMs actively engage at the account level, providing recommendations and proactive advice throughout the entire cloud adoption life cycle.

Key job responsibilities
• Every day will bring new and exciting challenges on the job while you:
• Act as a single point of contact to Enterprise Support customers
• Make recommendations on how new AWS offerings fit in the company strategy and architecture
• Complete analysis and present periodic reviews of operational performance to customers
• Provide detailed reviews of service disruptions, metrics, and detailed prelaunch planning
• Champion and advocate for customer requirements within AWS (e.g. feature request)
• Participate in customer requested meetings (onsite or via phone)
• Have access and know how to use all key customer resolution tools across all service groups to facilitate rapid resolution of customer concerns
• Work with some of the leading technologists around the world
• Work directly with Amazon Web Service engineers to ensure that customer issues are resolved as expediently as possible
• Available in non-business hours to handle urgent issues

About the team
Amazon values diverse experiences. Even if you do not meet all of the preferred 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.

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.

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

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 and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

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.

Basic qualifications

- Bachelor's degree
- 3+ years of technical engineering experience
- Experience with operational parameters and troubleshooting for three (3) of the following: compute/storage/networking/CDN/databases/DevOps/big data and analytics/security/applications development in a distributed systems environment
- Hands-on experience operating or troubleshooting GenAI/ML workloads on cloud infrastructure, such as GPU instance families and cluster scale, distributed training or inference performance tuning, accelerator-level fault diagnosis, or GPU capacity and scheduling.

Preferred qualifications

- Experience with AWS services or other cloud offerings
- Experience in internal enterprise or external customer-facing environment as a technical lead

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

Technical Account Manager at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● 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

Technical Account Manager is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in CN, 11, Beijing.
The job was posted on September 10, 2026.
Seniority: senior.
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

AWSGenAIContainersBig Data

Questions you could be asked

What's a project where you used AWS hands-on?
Walk me through how you've used GenAI in your day-to-day work.
What are the limits of Containers that you've run into, and how did you work around them?
What's a project where you used Big Data hands-on?
Describe a typical day in a role like this one: which parts run through AI directly?

Adapt your resume

List these exact terms on your resume: AWS, GenAI, Containers, and Big Data. 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.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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