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Sr. Worldwide Program Manager, Data & AI GTM

ID: 5160

Type: Full-time

Category: Others

Company Name: Amazon Web Services, Inc.

Location: USA, WA, Seattle; USA, WA, Bellevue; USA, CA, Irvine; USA, CA, Mountain View; USA, CA, San Francisco; USA, CA, San Diego - San Diego - United States

Salary: 115,600.00 - 160,000.00 USD annually

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Job Description

This isn't your typical program management role. You'll be the person who ensures the infrastructure behind AWS's Data & AI sales plays actually works, and works well. That means holding a high bar on sales play templates, bill of materials quality, reporting, and content management so that everything the AWS sales field touches is accurate, up-to-date, and ready to drive impact. You'll own and continuously improve the knowledge base of sales plays, reusable content, and industry use cases that enables our sellers, and the agentic experiences that assist them, to help customers faster and more effectively. Think of this role as running the center of excellence for Data & AI sales plays: setting the standard, maintaining the system, and making sure what we put in front of AWS field teams and assistance agents is always sharp and current.

You'll drive global GTM initiatives from the ground up, identifying where the biggest opportunities are, packaging them into repeatable motions, and making sure they land with impact across regions and industries. If a sales team in financial services needs a sharper AI use case to unlock a deal, or if healthcare needs a data play that resonates with CIOs, that's your infrastructure and content showing up in the field.

What makes this role different is the scope and the leverage. You're not supporting one team or one product. You're shaping how AWS's entire Data & AI story gets organized, maintained, and delivered across the globe. You'll work across product, business development, solutions architecture, marketing, sales, and partner teams to make that happen, and you'll see your impact in real numbers: pipeline created, deals accelerated, revenue driven.

If you like building systems that scale, thrive in ambiguity, and want to work at the intersection of program rigor and GTM execution in one of the fastest-moving spaces in tech, this is the job.

Key job responsibilities
-Serve as the center of excellence for Data & AI sales plays, setting and enforcing standards for sales play templates, completion, bills of materials, use case documentation, content management, and quality across the portfolio

-Own and continuously improve the knowledge base of sales plays, reusable content, and industry use cases that enables our sales field and assistance agents to help customers more effectively

-Influence cross-functional teams to design, build, and scale repeatable sales plays while driving a high bar for bills of materials that directly address friction points in the customer sales cycle, delivered through both traditional methods and agentic experiences

-Manage sales play and use case reporting, tracking performance metrics like pipeline generated, sales acceleration, and win/revenue realization rates, and continuously iterating based on what the data and anecdotes tell you

-Help develop industry-focused use cases (e.g., financial services, healthcare, manufacturing) that show customers exactly how AWS Data & AI solves their specific challenges

-Partner cross-functionally with product, solutions architecture, marketing, sales, and partner teams to ensure GTM initiatives are aligned, resourced, and landing with impact across regions

-Ensure the infrastructure of sales acceleration content is accurate, current, and structured to power both human sellers and agentic experiences at scale

-Drive executive-level alignment on GTM priorities, making the case for where to invest and ensuring stakeholders across the business are rowing in the same direction

A day in the life
Your morning might start with a call reviewing pipeline data to see which sales plays are gaining traction and which need retooling. By mid-morning, you're in a working session with product and marketing teams, pressure-testing a new set of industry use case for financial services before it goes live to the field. After lunch, you're collaborating with a specialist sales leader in Australia who's seeing friction in a deal cycle and needs a sharper bill of materials — and you're figuring out how to deliver it both through traditional enablement channels and agentic experiences. Late afternoon, you're pulling together an executive memo that makes the case for doubling down on a GTM motion that's outperforming expectations. No two days look the same, but the throughline is always the same: connecting strategy to execution and making sure what you build actually moves numbers.

About the team
We're a worldwide team that sits at the crossroads of AWS's Data & AI portfolio, working across categories rather than within a single product lane. Our job is to take everything AWS offers in the Data & AI space and package it into GTM sales motions that are clear, compelling, and easy for the AWS field to execute. That means driving campaigns, sales plays, field activations, and sales incentives, and doing it in close partnership with marketing, product, business development, and solutions architecture teams. We connect a lot of dots so that when a sales play lands in the hands of field teams anywhere in the world, it's sharp, complete, and ready to drive pipeline. If you like working horizontally across big organizations and turning complexity into simplicity, you'll feel right at home here.

Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
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.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & 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.
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 we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

Basic Qualifications

- 5+ years of program or project management experience
- Experience using data and metrics to determine and drive improvements
- Experience owning program strategy, end to end delivery, and communicating results to senior leadership
- Knowledge of Excel at an intermediate level (e.g., pivot tables & charts, multiple criteria lookups, nested logical/IF formulas, data cleansing, array formulas, etc.)
- Knowledge of general AI tools

Preferred Qualifications

- 2+ years of driving process improvements experience
- Experience driving global sales enablement programs that equip field teams with the tools, messaging, and content they need to execute effectively
- Experience leading or contributing to organizational transformation efforts where you've helped teams adopt new ways of working, shift mindsets, or stand up entirely new operating models

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 and restricted stock units (RSUs). 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 - 115,600.00 - 160,000.00 USD annually
USA, CA, Mountain View - 127,200.00 - 185,000.00 USD annually
USA, CA, San Diego - 115,600.00 - 160,000.00 USD annually
USA, CA, San Francisco - 127,200.00 - 185,000.00 USD annually
USA, WA, Bellevue - 115,600.00 - 160,000.00 USD annually
USA, WA, Seattle - 115,600.00 - 160,000.00 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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