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Sr. Technical Account Manager, Enterprise Support - MENAT

Amazon Web Services (AWS)
Dubai, UAE
Full-time
Mid-Senior
Onsite
Discovered 3 weeks ago
Technical account managementCloud architectureDistributed systemsCloud operations and troubleshootingCustomer advocacy and technical advisingCompute, storage, and networking

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 supports customer innovation across compute, storage, databases, big data, AI/ML, networking, serverless, and other technology areas.

Responsibilities

  • Develop technical cloud strategies that drive customer adoption and use of AWS services.
  • Advise customers on cloud solutions, best practices, operational health, cost, and complexity.
  • Build trusted relationships and understand customer business and technical needs.
  • Lead discussions on incidents, trade-offs, operational excellence, cloud maturity, support, and risk management.
  • Consult across customer organizations from developers to C-suite executives and collaborate with AWS partner teams.
  • Find opportunities for customers to gain value from AWS and support cloud workload migrations.
  • Provide service-disruption reviews, monthly and quarterly metrics, and detailed pre-launch planning.

Basic qualifications

  • At least 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, such as technical account management, solutions architecture, consulting, or support engineering.
  • Operational and 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; experience with AWS, Azure, GCP, or equivalent cloud services.
  • AI/ML workload experience, including foundation models, inference infrastructure, agentic systems, accelerated compute, or MLOps.
  • Experience with EKS, ECS, Kubernetes, serverless architectures, and infrastructure as code such as Terraform, CloudFormation, or CDK.

About AWS

AWS provides cloud services used by startups and large enterprises and describes a culture of learning, mentorship, inclusion, and work-life harmony.

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