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Sr. Technical Account Manager, Enterprise Support - MENAT

Amazon Web Services
Dubai, UAE
Full-time
Senior
Onsite
Discovered 3 weeks ago
AWSCloud architectureDistributed systemsComputeStorageNetworking

Full Job Posting

Role overview

AWS Enterprise Support is hiring a Senior Technical Account Manager to help large enterprise customers gain value from AWS.

The role provides technical leadership and customer advocacy across cloud technology areas including compute, storage, databases, big data, AI/ML, networking, and serverless.

Customer technical leadership

  • Develop and execute cloud strategies that drive customer adoption and use of AWS services.
  • Advise customers on solution design and best practices and proactively maintain healthy AWS environments while reducing cost and complexity.
  • Build trusted relationships, understand business and operational needs, and help customers realize value from AWS.
  • Lead discussions on incidents, trade-offs, risk, operational excellence, cloud maturity, and support.
  • Represent customer needs to AWS product teams and consult with developers through C-suite stakeholders.

Delivery and collaboration

  • Collaborate with Solutions Architects, Business Developers, Professional Services Consultants, and Sales Account Managers.
  • Identify opportunities for customers to gain additional AWS value.
  • Provide service-disruption reviews, monthly and quarterly metrics, and detailed pre-launch planning.
  • Troubleshoot problems for customers migrating workloads to the cloud.

Basic qualifications

  • 10+ years in technical roles involving distributed systems, cloud architecture, software development, infrastructure or platform engineering, data and analytics, or AI/ML.
  • Customer-facing technical experience as a technical account manager, solutions architect, consultant, support engineer, or similar.
  • Troubleshooting experience across a combination of compute, storage, networking, databases, AI/ML, containers, DevOps, big data and analytics, or security.
  • Ability to lead technical discussions and communicate with engineering teams and executive stakeholders.

Preferred qualifications

  • Knowledge of distributed-systems design and implementation, or equivalent.
  • Knowledge of large-scale automation and workflow management, or equivalent.
  • Professional experience with AWS services or equivalent cloud platforms such as Azure or GCP.
  • Experience with AI/ML workloads, including foundation models, inference infrastructure, agentic systems, accelerated compute, custom silicon, or MLOps.
  • Experience with EKS, ECS, Kubernetes, serverless architectures, and infrastructure as code tools such as Terraform, CloudFormation, or CDK.

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