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AI Field Enablement PM, WW Field Enablement

ID: 5003

Type: Full-time

Category: Others

Company Name: Amazon Web Services, Inc.

Location: USA, WA, Seattle; USA, VA, Arlington - Arlington - United States

Salary: 74,200.00 - 129,800.00 USD annually

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Job Description

As an AI Field Enablement Program Manager within WWFE, you will lead the strategic design and execution of global AI enablement programs. This role places you at the intersection of AI technology and sales enablement, where you'll orchestrate complex, cross-functional initiatives that empower thousands of field professionals to effectively communicate AWS's AI value proposition to customers worldwide.
You will partner with global stakeholders, subject matter experts, content strategists, and multimedia learning experience designers to build comprehensive enablement frameworks that translate rapidly evolving AI capabilities into actionable field readiness. This position requires driving operational excellence, establishing quality assurance standards, and implementing best practices that directly impact AWS's ability to capture AI market opportunities and deliver customer success at scale.


Key job responsibilities
1. Lead Strategic Design and Execution of Global AI Enablement Programs - Orchestrate complex, cross-functional initiatives that empower thousands of field professionals worldwide to effectively communicate AWS's AI value proposition to customers, ensuring programs directly impact AWS's ability to capture AI market opportunities.
2. Build Comprehensive Enablement Frameworks - Partner with global stakeholders, subject matter experts, content strategists, and multimedia learning experience designers to translate rapidly evolving AI capabilities into actionable field readiness materials and training programs.
3. Drive Operational Excellence and Quality Assurance - Establish and maintain quality assurance standards, implement best practices, and ensure consistent delivery of enablement content that meets enterprise-scale requirements across global field teams.
4. Enable Field Teams on AI Solution Articulation - Shape how AWS field teams understand, articulate, and sell AI solutions by creating frameworks that bridge the gap between AI technology and practical customer-facing applications.
5. Manage Cross-Functional Stakeholder Relationships - Coordinate with global stakeholders across multiple functions to ensure alignment on AI enablement priorities, content development, and program execution that supports AWS's continued leadership in the AI era.


A day in the life
A typical day in the life of an AI Field Enablement Program Manager at AWS begins with strategic coordination across global time zones, connecting with stakeholders from product teams, content developers, and field leadership to align on the latest AI capability releases and enablement priorities. The morning might involve reviewing quality metrics from recently deployed training programs while simultaneously collaborating with subject matter experts to translate complex AI innovations into digestible enablement content that thousands of field professionals can immediately apply in customer conversations. Mid-day often brings cross-functional program reviews. The afternoon typically shifts to operational execution. The day closes with strategic planning sessions.

About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

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 in the cloud.

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.

Basic Qualifications

- 3+ years of program or project management experience
- 3+ years of defining and implementing process improvement initiatives using data and metrics experience
- Experience using data and metrics to determine and drive improvements
- Experience working cross functionally with tech and non-tech teams
- PMP

Preferred Qualifications

- 3+ years of driving end to end delivery, and communicating results to senior leadership experience
- 3+ years of driving process improvements experience
- Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization
- Experience building processes, project management, and schedules

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 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, VA, Arlington - 74,200.00 - 129,800.00 USD annually
USA, WA, Seattle - 82,700.00 - 129,800.00 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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