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Technical Account Manager, CMHK Enterprise Support
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Full-time
bachelor degree
Posted 16d ago
~40 hrs/week
Responsibilities
Act as a primary technical advisor and single point of contact for enterprise customers to maximize the value of AWS services. Provide strategic guidance across the cloud adoption lifecycle and advocate for customer requirements within AWS.
Requirements
Requires at least 3 years of technical engineering experience and a bachelor's degree. Candidates must have operational and troubleshooting experience in areas such as compute, storage, networking, or databases.
Full job description
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' 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
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