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Sr Specialist Sales Rep. Databases, Automotive and Manufacturing

ID: 6496

Type: Full-time

Category: Others

Company Name: Amazon Web Services, Inc.

Location: USA, TX, Austin; USA, GA, Atlanta; USA, IL, Chicago - Chicago - United States

Salary: 142,800.00 - 193,200.00 USD annually

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Job Description

At Amazon, we strive to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Amazon is continually evolving and is a place where motivated employees thrive and also where employee ownership and accountability lead to meaningful results.

Customers rely on AWS databases, designed from the ground up to support the scale, performance, and availability needs of modern applications. As a Senior Database Sales Specialist as part of our United States Sales organization, you will help shape the future of the database platform industry and further establish AWS as the clear leader in cloud computing. We are seeking experienced enterprise IT sales specialists who can help deliver AWS database value to every company, from our most historical, to our most forward-thinking customers.

Key job responsibilities
Sales Specialists are the ultimate owner of the revenue and success goals of their services in the accounts/territories they are assigned to. Sales Specialists are empowered to pursue, create and develop opportunities for their service. They proactively grow usage and revenue for their specific service group within a defined geographic area/territory or vertical by executing known working sales plays.
- Manage database services including relational, non-relational, database migration services and AI enabled Database services.
- Educate account teams on database messaging, programs, and services.
- Partner with business development/Go-To-Market specialist and solutions architecture teams to accelerate database opportunities within strategic customer segments and key accounts.
- Meet or exceed annual revenue targets.
- Manage a robust sales pipeline and maintain an accurate revenue forecast.
- Develop long-term and strategic relationships with key accounts and stakeholders.

A day in the life
Once you have completed your onboarding plan, you will be equipped to help account teams by leading sales opportunities through the opportunity lifecycle. A day in the life of a specialist seller can include time to learn something new about your product domain that you want to share with your account teams, collaborating on win plans for key opportunities, and meeting with customers to define solutions that transform their business.

About the team
We are a team of AIML, Analytics, and Database Sales specialists that help our enterprise customers transform their business in order to improve operational efficiency and develop new revenue streams by leveraging their data and the AI capabilities of the AWS Cloud and our AI application partners. We collaborate on customer initiatives, finding ways we can help each other, help our customers.

Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion.

Basic Qualifications

- Experience communicating clearly and concisely with leadership, stakeholders, and cross-functional teams
- 7+ years of sales or account management experience
- 4+ years of direct field experience selling software or cloud solutions experience
- Experience understanding needs of business and end customers and translating them into right solutions
- Experience identifying, developing, negotiating, and closing large-scale technology deals
- Experience positioning and selling technology to new customers and new market segments

Preferred Qualifications

- BS degree in engineering, statistics, computer science, operations research, business analytics, information systems or equivalent, or 5+ years of technical work experience
- Experience driving adoption of new and disruptive technologies
- Experience working within an enterprise company
- Experience in direct sales or business development in software, cloud or SaaS markets selling to C-level executives (ideally Automotive and Manufacturing enterprise industry verticals).

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments, restricted stock units (RSUs), and sales incentives. Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.



USA, GA, Atlanta - 142,800.00 - 193,200.00 USD annually
USA, IL, Chicago - 142,800.00 - 193,200.00 USD annually
USA, TX, Austin - 142,800.00 - 193,200.00 USD annually

Company Information

Company Name: Amazon Web Services, Inc.

Company Website: https://aws.amazon.com

Company Address: 410 Terry Ave N, Seattle, WA 98109-5210, United States

Amazon Web Services, Inc. (AWS) is the cloud computing and infrastructure arm of Amazon.com, Inc., offering a broad and evolving portfolio of on-demand cloud services, platform services, and infrastructure products for organizations of all sizes. Founded to provide scalable, reliable, and cost-effective computing resources over the internet, AWS enables customers to deploy and run applications and services without the need to build and maintain physical datacenters. The company’s public materials describe it as a provider of on-demand cloud computing platforms and APIs to individuals, companies, and governments, supplying infrastructure and higher-level services that accelerate application development, data processing, storage, and global delivery. Core business activities: AWS’s primary business is the design, operation, and delivery of cloud-based computing resources and managed services. That includes offering virtualized compute capacity, object and block storage, database engines (managed relational and NoSQL), networking primitives, identity and access management, security and compliance tooling, analytics and big-data processing stacks, machine learning and AI services, developer and application deployment tools, serverless computing, container orchestration services, content delivery, and Internet of Things (IoT) connectivity. AWS also provides enterprise-focused offerings such as hybrid cloud solutions, migration services to assist organizations in moving on-premises workloads to the cloud, managed operations and support plans, professional services, and training and certification programs for IT professionals. Main products and services: AWS’s product set spans foundational infrastructure to highly managed, domain-specific offerings. Key foundational services include Amazon Elastic Compute Cloud (EC2) for virtual servers, Amazon Simple Storage Service (S3) for scalable object storage, and Amazon Virtual Private Cloud (VPC) for isolated networking. Managed database and data services include Amazon Relational Database Service (RDS), Amazon Aurora (a high-performance relational database), Amazon DynamoDB (a fully managed NoSQL database), Amazon Redshift (a petabyte-scale data warehouse), and Amazon ElastiCache (in-memory caching). For compute modernization, AWS provides AWS Lambda (serverless compute), Amazon Elastic Kubernetes Service (EKS), and Amazon Elastic Container Service (ECS). AWS’s advanced and specialized services include Amazon SageMaker for building, training, and deploying machine learning models; Amazon Rekognition for computer vision; Amazon Comprehend for natural language processing; AWS Glue and AWS Data Pipeline for ETL and data integration; and AWS IoT Core for connecting and managing Internet of Things devices. Application delivery and developer tooling include Amazon API Gateway, AWS CloudFormation for infrastructure as code, AWS CodePipeline and CodeBuild for CI/CD, and Amazon CloudFront for content delivery across a global edge network. The AWS Marketplace and AWS Partner Network (APN) provide channels for third-party software, consulting partners, and managed service providers to offer products and services that run on or integrate with AWS. Infrastructure, delivery model, and pricing: AWS operates a global infrastructure composed of multiple geographic Regions, each containing multiple Availability Zones—physically separate data center locations engineered for fault isolation and high availability. This global footprint supports data residency, low-latency delivery, and resilience for customers deploying distributed systems. AWS’s commercial model emphasizes flexible consumption and cost control: customers commonly choose pay-as-you-go billing for on-demand resources, with options for reserved capacity, savings plans, and spot instances to reduce costs for predictable or interruptible workloads. Support tiers and managed services are available at varying cost and service-level commitments. Security, compliance, and governance: AWS provides a suite of security and identity services—such as AWS Identity and Access Management (IAM), AWS Key Management Service (KMS), AWS CloudTrail, and AWS Config—to help customers secure environments, manage access, encrypt data, and demonstrate compliance. AWS documents participation in standard industry compliance frameworks and certifications, and publishes detailed security and compliance resources to help customers meet regulatory obligations. Customer segments and use cases: AWS serves a broad range of customers that include startups, established enterprises, public sector organizations, educational institutions, and independent software vendors. Common use cases include web and mobile application hosting, data analytics and warehousing, machine learning and AI workloads, backup and disaster recovery, IoT deployments, gaming infrastructure, and enterprise application modernization. AWS emphasizes scalability, elasticity, and rapid provisioning to support development velocity and business agility. Ecosystem, training, and partner network: AWS supports a large ecosystem of technology and consulting partners that build, certify, and deliver solutions on the platform. The company offers official training, certifications, and documentation to help developers, architects, and IT professionals gain proficiency on its services. AWS Marketplace and partner programs provide channels for third-party software procurement and professional services. Business model and positioning: AWS generates revenue principally through consumption-based fees for cloud services and through related professional services and support offerings. It competes in the global cloud infrastructure market with other major cloud providers by focusing on breadth of services, global infrastructure, developer tooling, partner ecosystem, and continuous release of new managed services. AWS positions itself as an enabler for digital transformation by reducing the capital and operational burden of running infrastructure, allowing customers to focus on application development and business innovation. For additional, up-to-date, and authoritative information on product details, global infrastructure, security programs, and service announcements, AWS’s official website and documentation pages provide comprehensive resources and customer-facing materials.
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