Technical Account Manager, CMHK Enterprise Support
AI in this role
As a Technical Account Manager (TAM) in AWS Enterprise Support, you will play a crucial role in fostering our customers' innovative and transformative endeavors across various technologies, including GenAI, AI/ML, Compute, Storage, Database, Big Data, Application-level Services, Networking, Serverless, Deployment, Security and more. This is not a sales role — 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.
Based in Shenzhen, you will work with a diverse portfolio of local and regional enterprise customers across industries including Financial Services, Gaming, Media & Entertainment, E-commerce, and Technology. You will be part of the CMHK Enterprise Support team, collaborating closely with Solution Architects, Account Managers, and Partner teams to deliver exceptional customer outcomes.
This is an exciting time to join — our customers are rapidly adopting Generative AI and AI/ML services on AWS, from Amazon Bedrock and SageMaker to custom model training on GPU infrastructure. As a TAM, you will be at the forefront of helping customers navigate this transformation, guiding them on architecture, operational readiness, and best practices for AI workloads in production. You will also leverage AI-powered tools in your own workflow to deliver faster, more proactive support.
Key job responsibilities
- Act as a single point of contact for Enterprise Support customers, building trusted advisor relationships
- Provide strategic technical guidance across the full cloud adoption lifecycle — from migration planning to operational optimization
- Make recommendations on how new AWS offerings (including GenAI, AI/ML) fit into customer strategy and architecture
- Complete analysis and present periodic reviews of operational performance to customers
- Provide detailed reviews of service disruptions, metrics, and prelaunch planning
- Champion and advocate for customer requirements within AWS (e.g., feature requests, service improvements)
- Participate in customer meetings (onsite or remote) and maintain regular engagement cadence
- Leverage customer resolution tools across all service groups to facilitate rapid resolution of customer concerns
- Work directly with AWS service engineers to ensure customer issues are resolved expediently
- Collaborate with internal teams including DSE, SBAS, and account teams to deliver holistic support
- Available for non-business hours support to handle urgent issues and critical events
Basic qualifications
- 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
- Bachelor's degree
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 score this
Technical Account Manager, CMHK Enterprise Support at Amazon scores 11 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.
AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- What's a project where you used Bedrock hands-on?
- Walk me through how you've used Sagemaker in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Bedrock and Sagemaker. 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.
Want your resume actually rewritten for this job?
The free preview above is everything we have today. A full resume rewrite is not live yet and has no price set. Join the waitlist and we will email you if we open it.
Get new AI jobs by email
One email a week with the new AI jobs, each rated AI Level 1 to 4 for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Sales roles rated AI Level 1 at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step