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Sr. Sales Specialist AI/ML

ID: 5114

Type: Full-time

Category: Others

Company Name: Amazon Web Services, Inc.

Location: USA, MA, Boston; USA, WA, Seattle; USA, VA, Arlington; USA, NY, New York; USA, CA, Santa Monica; USA, CA, Irvine; USA, CO, Denver; USA, IL, Chicago; USA, CA, San Francisco; USA, TX, Dallas - New York - United States

Salary: 142,800.00 - 193,200.00 USD annually

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Job Description

Application deadline: Applications will be accepted on an ongoing basis

Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Do you have the business savvy, Artificial Intelligence and Machine Learning background, and sales skills necessary to help companies transform their industries by positioning Amazon Web Services (AWS) as the Generative AI service provider of choice? Do you love building new strategic and data-driven businesses? Do you want to join Generative AI Specialty sales organization, one of the fastest-growing organizations within AWS? Join the US AWS US Sales organization as a Generative AI and Machine Learning Specialist Seller!
As a Generative AI Sales Specialist, you will be at the forefront of driving adoption for AWS's AIML and Generative AI services. Your role will involve identifying high-value customer opportunities within a specific territory and engaging with AWS customers to understand their needs and align them with AWS Generative AI solutions. You will leverage your consultative expertise to become a trusted advisor, guiding customers in embedding and deploying AWS Generative AI solutions to unlock new value streams and solve key business problems using AWS AIML services. With a passion for developing high-potential opportunities and executing effective strategies, you will own the full-cycle sales, from identifying qualified leads to realizing revenue. You will understand a customer’s business initiatives, help craft account plans to achieve those initiatives, identify and drive opportunity win plans to enabling those business initiatives, and ensure successful launch to realize both customer vision and AWS revenue. You will earn trust with Line of Business, Data Science, and IT personas. You will understand detailed business drivers in your forecast, and intentionally work the best opportunities that maximize your ability to hit revenue goals.

Furthermore, you will maintain an in-depth knowledge of AWS's Generative AI services and relevant cross-functional areas to so that you are growing knowledge ahead of your customers. You can describe the “why” and “what” of generative AI use case and technical solutions at a 200-level, with the detailed “how” being provided by solution architects. You can conduct compelling executive conversations on the transformational possibilities of generative AI and data, resulting in subsequent meetings with the wider team.

Key job responsibilities
- Accelerate customer adoption by defining and executing sales plays within your assigned accounts. Your strategies will leverage AWS Sales and our partner ecosystem.
- Ideate with Line of Business and C-suite leaders, building trust with your technical expertise, and following through to help solve their most compelling business problems.
- Act as the front line within your accounts for all specialist customer engagement in your tech domain.
- Create and articulate compelling value propositions that address specific needs of your customers.
- Partner with the world’s biggest system integrators to deliver on customer projects.
- Spearhead market expansion by pinpointing new customer segments and Gen AI use cases
- Collaborate cross-functionally to continuously strengthen AWS's Gen AI value proposition
- Gather customer input and experiences enabling our service team to innovate on behalf of our customers
- Establish credibility and trust with the customers, account teams and service teams.
- Drive sales efforts spanning multiple lines of business with decision-making authority and budget ownership.
- Engage systems integrators and closely collaborate with AWS partners to deliver maximum customer value
- Develop and deliver compelling ROI to drive adoption of AWS Gen AI solutions

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 technical and business validation stages. Your first task will be to prioritize your top customers and opportunities. After you understand their business objectives, you will create and lead win plans through to launch. You will become an active member of the account teams, helping them scale to meet the critical needs of our customers. As you deliver value to these customers, you will learn to scale your reach out to more customers in your territory.

About the team
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 technical and business validation stages. Your first task will be to prioritize your top customers and opportunities. After you understand their business objectives, you will create and lead win plans through to launch. You will become an active member of the account teams, helping them scale to meet the critical needs of our customers. As you deliver value to these customers, you will learn to scale your reach out to more customers in your territory.

About the team
We are a team of AIML, Analytics, and Database Sales specialists that help our Automotive and Manufacturing 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.

Basic Qualifications

- 7+ years of direct sales or business development in software, cloud or SaaS markets selling to C-level executives experience
- 5+ years of Go-To-Market, Business Development, Sales, or Consulting experience
- Experience building and managing a healthy sales pipeline focused on driving revenue, adoption, and market penetration
- 3+ years of AIML sales experience

Preferred Qualifications

- Experience proactively growing customer relationships within an account while expanding their understanding of the customer's business
- Experience identifying, developing, negotiating, and closing large-scale technology projects for global customers
- Experience (technical or educational) in Engineering or Computer Science
- Experience developing detailed go to market plans
- AIML degree / certifications

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

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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, CA, Irvine - 142,800.00 - 193,200.00 USD annually
USA, CA, San Francisco - 157,100.00 - 212,600.00 USD annually
USA, CA, Santa Monica - 142,800.00 - 193,200.00 USD annually
USA, CO, Denver - 142,800.00 - 193,200.00 USD annually
USA, IL, Chicago - 142,800.00 - 193,200.00 USD annually
USA, MA, Boston - 142,800.00 - 193,200.00 USD annually
USA, NY, New York - 157,100.00 - 212,600.00 USD annually
USA, TX, Dallas - 142,800.00 - 193,200.00 USD annually
USA, VA, Arlington - 142,800.00 - 193,200.00 USD annually
USA, WA, Seattle - 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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