Technical Account Manager, Amazon

• Experience in design/implementation/operations/consulting with distributed applications
• Experience in technical engineering
• Speak, write, and read fluently in French and English at C1 level or above
• 5+ years of design/implementation/operations/consulting with distributed applications experience
• 5+ years of technical engineering experience

Desirable

• At AWS Support we're looking for a Senior Technical Account Manager (TAM) to support our customers' creative and transformative spirit of innovation across all technologies, including Compute, Storage, Database, Big Data, Application-level services, Networking, Serverless and more
• This is not a sales role, but rather an opportunity to be the principal technical advisor and 'voice of the customer' to some of the world's largest financial services organizations
• The TAM role is not directly hands on keyboard within the customer's environment for troubleshooting customer support issues, rather you will work with appropriate engineers and service teams to see issues through to resolution
• More importantly you will work proactively as part of the AWS Unified Operations (UOps) delivery model to help craft and execute strategies to drive our customers' adoption and use of AWS services, including EC2, S3, DynamoDB & RDS databases, Lambda, CloudFront CDN, IoT, and many more
• Your technical acumen and customer-facing skills will enable you to effectively represent AWS within a customer's environment, and drive discussions with senior leadership regarding incidents, trade-offs, regulatory requirements, support and risk management
• You will operate as a trusted technical peer to your customers' senior technology leaders, owning the cloud strategy conversation end-to-end — defining where the customer is heading, why, and what success looks like
• You will provide advocacy and strategic technical guidance to help plan and build solutions using best practices, and proactively keep your customers' AWS environments operationally healthy through application-specific reviews, proactive monitoring, and custom runbooks
• You will establish and evolve frameworks governing customer operations on AWS, including DevSecOps practices, Operational Excellence standards, AI strategy, and Target Operating Models. You will use generative AI tools fluently to accelerate your own work and, more importantly, to unlock deeper insights and proactive recommendations for your customers
• You will guide customers on adopting AWS generative AI services to modernise their operations and drive measurable business outcomes. You will leverage AI agents for workload discovery, review, and risk identification, steering agent outputs into actionable strategies that help customers move faster and with greater confidence
• The close relationships developed with your customers will allow you to understand their business/operational needs and technical challenges, and help them achieve the greatest value from AWS
• The TAM is the centerpiece of value to our Enterprise Support customers. If you wish to be at the forefront of innovation, come join us!
• Work proactively as part of the AWS Unified Operations (UOps) delivery model to help craft and execute strategies to drive our customers' adoption and use of AWS services, including EC2, S3, DynamoDB & RDS databases, Lambda, CloudFront CDN, IoT, and many more
• Effectively represent AWS within a customer's environment leveraging your technical acumen and customer-facing skills
• Drive discussions with senior leadership regarding incidents, trade-offs, regulatory requirements, support and risk management
• Own the technical strategy for assigned customers — seeing across compute, storage, networking, security, data, and application domains to ensure they align and produce coherent outcomes
• Define and maintain operational frameworks including DevSecOps practices, Operational Excellence standards, and Target Operating Models tailored to each customer's environment
• Proactively keep customers' AWS environments operationally healthy through application-specific reviews, proactive monitoring, and custom runbooks
• Use generative AI tools fluently to accelerate troubleshooting, operational reviews, and customer guidance, and help customers adopt AWS generative AI services to modernize their operations
• Leverage AI agents for workload discovery, deep dive reviews, and resilience assessments — reviewing and steering agent output to deliver actionable recommendations at pace