Amazon Force Warehouse Jobs (NOW HIRING)

As an Analytics sales specialist in this rapidly expanding field, you'll drive growth by helping customers leverage emerging technologies that directly impact their technical capabilities and 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 engage customers at all levels 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; and OpenSearch Service, a managed search and analytics engine.

You'll help customers understand how this Data 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. 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, pricing, objection handling, navigating competitive pressures, proofs of concept and construction of a supporting business case.
The ideal candidate combines strategic sales leadership with deep technical and business acumen. You will collaborate across AWS teams, including sales representatives, solutions architects, product managers, professional services, and partners to drive customer success

You should have experience engaging confidently with both C-suite executives and technical stakeholders, demonstrating the ability to translate complex technical solutions into clear business value. Your background should reflect success in building consensus across organizations, developing compelling value propositions, and navigating technical and business challenges. Experience in strategic analysis, enterprise sales, and technical solution development is essential, as you'll need to understand both the technical architecture and business implications of modern data and AI solutions.
Key job responsibilities
Key job responsibilities
- Drive revenue and market share in a defined territory.
- Meet or exceed annual revenue targets.
- Develop and execute against a comprehensive account/territory plan.
- Develop working backwards analytics visions including business case and financial justification, potentially gleaned from earnings reports.
- Create & articulate compelling value propositions around AWS analytics services.
- Accelerate customer adoption of Amazon analytics services.
- Maintain a robust sales pipeline leveraging sales force automation tools and best practices
- Work with partners to extend reach & drive adoption.
- Develop long-term strategic relationships with key accounts.
- Ensure customer satisfaction.
- Expect moderate travel.
A day in the life
You're surrounded by innovation

You're empowered with a lot of ownership. Your growth is accelerated. The work is challenging.

You have a voice here and are encouraged to use it. Your experience and career development is in your hands. We live our leadership principles every day.

At Amazon, it's always "Day 1".
About the team
Why AWS
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture

When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Inclusive Team Culture
Here at AWS, we foster a culture of continuous learning and curiosity. Our employee networks help create an environment where diverse perspectives are valued and contribute to innovation. Through various events and learning experiences, we encourage professional development and collaboration while celebrating what makes each employee unique.
Mentorship and Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer

That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.