Only AI Jobs


Sr PM, Mktg Ops (Agentic), Channel Technology & Operations

ID: 7584

Type: Full-time

Category: Others

Company Name: Amazon Web Services, Inc.

Location: USA, TX, Austin; USA, WA, Seattle; USA, VA, Arlington; USA, NY, New York - Austin - United States

Salary: 127,200.00 - 185,000.00 USD annually

Visit company vacancy
Job Description

Marketing technology support is going through a fundamental shift, and this role is at the center of it. You will drive the transformation of Marketing Technology Operations from a reactive, ticket-driven support model to a proactive, agentic one. This is not a one-time project. You will lead the program to build and operationalize agentic support capabilities, and then continue to run and improve those operations as part of the team's long-term operating model.

In the near term, you will deconstruct legacy support workflows and rebuild them into intelligent, system-led processes where AI agents handle intake, classification, diagnosis, routing, and, where possible, resolution without human intervention. You will shift the support model toward proactive detection and prevention, using signals, telemetry, and agent-driven monitoring to surface and resolve issues before they reach end users. As the program matures, you and the team will operate and continuously improve these agentic systems as the steady-state way the organization runs.

You will partner closely with Product and Engineering to ensure agentic capabilities are reliable in production, while also supporting Product's agentic content supply chain journey by providing operational readiness and front-line feedback. You will lead change management efforts to transition marketers from legacy workflows to new agentic ways of working, ensuring adoption is smooth, well-supported, and sustained.

This role steps into an environment already in motion. Two builders are actively developing next-generation intake, triage, and automation workflows. You will lead this program, bringing the structure, standardization, prioritization, and pace needed to move from experimentation to a scalable, production-ready model. The existing team members will continue to build and operate alongside you as part of the long-term agentic operations engine.

Key job responsibilities
Deconstruct existing ticket-driven support workflows and redesign them into AI-native, agentic systems that automate intake, triage, diagnosis, routing, and resolution, shifting the team from reactive support to proactive detection and prevention

Own day-to-day reliability for agentic systems in production, including observability, failure detection, root cause analysis, and resolution across the marketing technology stack (AEM, Marketo, AEP)

Partner with Product and Engineering to operationalize the rollout of agentic capabilities, defining testing, validation, acceptance criteria, and readiness frameworks that ensure systems perform reliably in production

Support Product's agentic content supply chain roadmap by providing operational readiness assessments, front-line system feedback, and production support planning for new capabilities

Lead change management to transition marketers from legacy workflows to new agentic ways of working, building trust through transparency into how agents make decisions and when human judgment is needed

Lead a small team of builders developing automation and agentic support workflows, providing direction, prioritization, quality standards, and operational playbooks

Define and track key operational metrics including automation rate, MTTR, ticket deflection rate, agent classification accuracy, and the ratio of system-detected issues to user-reported tickets

About the team
Channel Technology and Operations is the front-line support and triage organization that keeps Amazon's marketing technology ecosystem running. We don't build campaigns. We ensure the platforms, pipelines, and systems that marketers depend on are operational, reliable, and performant. When something breaks in AEM, Marketo, or AEP, our team diagnoses it, resolves it, and drives the systemic fix so it doesn't break again. But we're not content to stay reactive.

We are in the early stages of a fundamental transformation: moving from a reactive, ticket-based support model to a proactive, AI-native operating model where intelligent systems detect issues before they impact users, automate triage and resolution, and continuously improve system health. We already have two builders actively developing next-generation intake and automation workflows. We also partner closely with Product to support their agentic content supply chain vision, ensuring that as new capabilities roll out, the operational foundation is ready and marketers are equipped to adopt new ways of working. We're looking for someone who can drive this program forward with structure, velocity, and operational rigor.

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.

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, 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.

Basic Qualifications

- 5+ years of program or project management experience
- Experience owning program strategy, end to end delivery, and communicating results to senior leadership
- Experience using data and metrics to determine and drive improvements
- Experience implementing repeatable processes and driving automation or standardization
- Knowledge of general AI tools

Preferred Qualifications

- 3+ years of driving process improvements experience
- Experience designing, implementing, and scaling upskilling, apprenticeship, or workforce development programs across large-scale operations or corporate environments, including forecasting workforce needs and leveraging analytics to drive program decisions
- Experience designing, implementing, or operating AI/automation-driven support or triage workflows (e.g., LLM-based agents, orchestration frameworks, decisioning engines, RPA, chatbot-based deflection)

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, NY, New York - 127,200.00 - 185,000.00 USD annually
USA, TX, Austin - 115,600.00 - 160,000.00 USD annually
USA, VA, Arlington - 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.
Visit company vacancy