Senior TAM - AI Solutions: Drive Adoption & Resilience

Amazon Inc.; Arlington (VA); On-site; USD 154,000 - 208,000; Full time

Job summary

Amazon AWS Applied AI Solutions (AAIS) seeks a Technical Account Manager (TAM) to partner with customers, guide adoption of AWS services (EC2, S3, DynamoDB, RDS, Lambda, CloudFront, IoT, etc.), and coordinate with engineers to resolve issues while defining proactive strategies for operational health and risk management.

You will engage with senior leadership, travel up to 10% as needed, and help customers realize value from AWS workloads in a complex distributed environment.

Qualifications

• Bachelor's degree in computer science, IT, math, or equivalent.
• Bachelor's degree in computer science, engineering, mathematics or equivalent, or 4+ years of technical work experience.
• 6+ years of technical engineering experience.

Responsibilities

• The TAM role is not directly hands on keyboard within the customer's environment for troubleshooting customer support issues; you will work with appropriate engineers and service teams to see issues through to resolution and to drive adoption and risk management.
• Provide advocacy and strategic technical guidance to help plan and build solutions using AWS best practices and proactively keep customers' AWS environments healthy and resilient.
• Willingness to travel 10% or more as needed.

Education

Bachelor's degree in computer science, IT, math, or equivalent

Bachelor's degree in computer science, engineering, mathematics or equivalent, or 4+ years of technical work experience

6+ years of technical engineering experience

Job description

Amazon AWS Applied AI Solutions (AAIS) seeks a Technical Account Manager (TAM) to partner with customers, guide adoption of AWS services (EC2, S3, DynamoDB, RDS, Lambda, CloudFront, IoT, etc.), and coordinate with engineers to resolve issues while defining proactive strategies for operational health and risk management.

You will engage with senior leadership, travel up to 10% as needed, and help customers realize value from AWS workloads in a complex distributed environment.