About the Role
Join one of the fastest-growing organizations within the company as a Senior Technical Account Manager (TAM). In this role, you will influence some of the largest enterprises globally to maximize their value and service from the company. You will support customers in their creative and transformative spirit of innovation across various technology areas, including Compute, Storage, Database, Big Data, AI/ML, Networking, Serverless, and more. As a TAM, you will serve as a technical leader and advocate for large enterprises, representing their needs to the company product teams.
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Key Responsibilities
- Build solutions, provide technical guidance, and advocate for customers.
- Ensure environments remain operationally healthy while reducing cost and complexity.
- Develop trusting relationships with customers, understanding their business needs and technical challenges.
- Drive technical discussions regarding incidents, trade-offs, and risk management using your technical acumen and customer obsession.
- Consult with a range of partners from developers to C-suite executives.
- Collaborate with Solutions Architects, Business Developers, Professional Services Consultants, and Sales Account Managers.
- Proactively identify opportunities for customers to gain additional value from the company.
- Provide detailed reviews of service disruptions, as well as monthly and quarterly metrics.
- Assist with detailed pre-launch planning.
- Solve a variety of problems across different customers as they migrate their workloads to the cloud.
Basic Qualifications
- 10+ years of experience in technical roles involving distributed systems, cloud architecture, software development, infrastructure/platform engineering, Data & Analytics, or AI/ML.
- Experience in a customer-facing technical role such as a technical account manager, solutions architect, consultant, or support engineer.
- Experience with operational parameters and troubleshooting in areas such as compute, storage, networking, databases, AI/ML, containers, DevOps, big data and analytics, and security.
- Demonstrated ability to drive technical discussions and effectively communicate with both engineering teams and executive stakeholders.
Preferred Qualifications
- Knowledge of distributed systems design and implementation or equivalent experience.
- Knowledge of large-scale automation and workflow management or equivalent professional experience with the company services or other cloud platforms (Azure, GCP).
- Experience with AI/ML workloads, including foundation models, inference infrastructure, agentic systems, accelerated compute (GPU, custom silicon), or MLOps.
- Experience with container orchestration (EKS, ECS, Kubernetes), serverless architectures, and infrastructure as code (Terraform, CloudFormation, CDK).
Benefits
- Participate in an inclusive culture that empowers employees to deliver the best results for our customers.
Accommodation Policy
If you have a disability and require workplace accommodation or adjustments during the application and hiring process, including support for interview or onboarding, please refer to the detailed guideline for accommodations.
