📍 Local Job Near You
Principal Sales Specialist, Analytics, Auto & Mfg
Amazon
📍
Austin, United States
Location
Austin
Posted
June 06, 2026
Commute
Local Area
Local Opportunity Near You!
This job is in your area. Enjoy a short commute and work close to home.
Job Description
Description
Application deadline: Jun 9, 2026
As an Analytics sales specialist in this rapidly expanding field, you'll drive growth by helping Automotive and Manufacturing customers leverage emerging technologies that directly impact their AI and technical capabilities to create business success. You will work backwards from customer goals and you'll create strategic plans that align AWS solutions with their desired outcomes.
You will educate customers on 'art of the possible' success stories and AWS enablers including Amazon Redshift, a managed petabyte-scale data warehouse for fast SQL analytics; Amazon Athena, for serverless SQL queries directly on S3 data; Amazon EMR, a managed big data platform for Spark, Hive, and Presto workloads; AWS Glue, a managed ETL service for data preparation and transformation; AWS Lake Formation, for simplified data lake creation and management; AWS SageMaker Studio, a unified IDE for end-to-end machine learning workflows; Amazon Kinesis ...
Application deadline: Jun 9, 2026
As an Analytics sales specialist in this rapidly expanding field, you'll drive growth by helping Automotive and Manufacturing customers leverage emerging technologies that directly impact their AI and technical capabilities to create business success. You will work backwards from customer goals and you'll create strategic plans that align AWS solutions with their desired outcomes.
You will educate customers on 'art of the possible' success stories and AWS enablers including Amazon Redshift, a managed petabyte-scale data warehouse for fast SQL analytics; Amazon Athena, for serverless SQL queries directly on S3 data; Amazon EMR, a managed big data platform for Spark, Hive, and Presto workloads; AWS Glue, a managed ETL service for data preparation and transformation; AWS Lake Formation, for simplified data lake creation and management; AWS SageMaker Studio, a unified IDE for end-to-end machine learning workflows; Amazon Kinesis ...