Principal Sales Specialist, Analytics, Auto & Mfg
Amazon - Seattle, Washington, USA
Posted Jun 4, 2026
Benefits
- Parental leave
- 6 weeks From the posting source checked Jun 20, 2026
- Non-birth-parent leave
- 6 weeks From the posting source checked Jun 20, 2026
- Family-building benefits
- Mental health support
- Offered From the posting source checked Jun 20, 2026
- Relocation assistance
- Not verified
- Childcare support
- Offered From the posting source checked Jun 20, 2026
- Learning budget
- Not verified
- Verification
- Source-linked checked Jun 7, 2026
- Salary
- $170K-$230K From the posting source checked Jun 20, 2026
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
Was this benefit information wrong? Tell us.
Market context
- U.S. role benchmark (BLS OEWS)
- $57,704 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +0.9% - Slower
247% above the BLS role benchmark for sales aggregate.
Posted salary is far from this role benchmark; treat it as low confidence.
Matched to SOC 41-2031 - Sales aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Principal Sales Specialist, Analytics, Auto & Mfg Seattle, Washington, USA Application deadline: Jun 14, 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 and MSK for real-time data streaming and processing; Amazon OpenSearch, a managed search and analytics engine; and Amazon QuickSight for embedded analytics and business intelligence dashboards. You'll help customers understand how this analytics foundation enables them to build and deploy AI/ML solutions using Amazon Bedrock, Amazon SageMaker, and other AWS AI services to drive business transformation across manufacturing operations, connected vehicles, supply chain optimization, and industrial IoT use cases. Then you will work with a specialized solution architect to craft a solution spanning these solutions as well as selected partner products and manage the sales process including evaluation,
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