Level

Amazon

Sr Technical Account Manager, TAM (CN-AWS)

Amazon is hiring a Sr Technical Account Manager, TAM (CN-AWS) in Beijing, China. Level rates it ; you can apply on Amazon.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • The posting mentions AWS, Generative AI and cloud architecture among its tools and skills.
  • Level classes it as a senior role.
  • Amazon has 21,000+ other open roles on Level.

AI in this role

Serve as a Senior Technical Account Manager helping enterprise customers maximize AWS services and Generative AI solutions.

awsgenerative-ai
cloud-architecturetechnical-advisoryenterprise-supportgenerative-ai
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’ innovate 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, 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.

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 customer
- Provide detailed reviews of service disruptions, metrics, detailed prelaunch planning
- Champion and advocate for customer requirements within AWS (e.g. feature request)
- Participate in customer requested meetings (onsite or via phone)
- Has access and knows 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
Diverse Experiences
AWS 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.

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 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.

Basic qualifications

- 7+ years of design/implementation/operations/consulting with distributed applications experience
- 7+ years of engineering experience
- Experience with operational parameters and troubleshooting across four or more of the following technical domains: GenAI, AI/ML, Compute, Storage, Networking, CDN, Databases, DevOps, Big Data and Analytics, Security, Applications Development in a distributed systems environment

Preferred qualifications

- Master's degree or above in engineering or equivalent STEM (Science, Technology, Engineering and Mathematics) field
- Experience as a technical lead, internally or externally in a customer facing role
- Proficiency in professional oral and written communication, with a record of presenting to audiences containing one or more decision-makers
- Proven experience working with large enterprise customers
- Background in a 24x7 operational services or support environment
- Track record in influencing management in technical, operational and strategic decisions
- Hands-on experience with AWS services and/or other cloud offerings

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

Sr Technical Account Manager, TAM (CN-AWS) at Amazon rates 30 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.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Cloud ArchitectureTechnical AdvisoryEnterprise SupportGenerative AIAWS

Questions you could be asked

  1. Tell me about a project where cloud architecture was part of your work. What did you do?
  2. Tell me about a project where technical advisory was part of your work. What did you do?
  3. Tell me about a project where enterprise support was part of your work. What did you do?
  4. Tell me about a project where generative ai was part of your work. What did you do?
  5. Walk me through how you've used AWS in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Cloud Architecture, Technical Advisory, Enterprise Support, Generative AI, and AWS. 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.

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