Amazon
Sr. Product Manager - Technical, CS Intelligence, AWS Specialist and Partner Org
Amazon, San Francisco, California, United States, 94199
Sr. Product Manager - Technical, CS Intelligence, AWS Specialist and Partner Organization
Job ID: 3157254 | Amazon Web Services, Inc. As a Senior Product Manager-Technical on the Customer Success (CS) Intelligence team within the AWS Specialists & Partners (ASP) org, you will architect and drive the development of AWS' next‑generation CS intelligence stack and AI‑powered agents. This dual mandate includes building a unified data foundation that enables real‑time visibility into AWS service usage and customer value realization, while pioneering autonomous CS agents that proactively drive adoption and business outcomes for customers. Key responsibilities
Architect the vision and roadmap for AWS' unified CS intelligence stack, combining real‑time telemetry, predictive analytics, and autonomous agent capabilities. Contribute to the product vision and roadmap for CS agents that support both direct and partner‑led customer success motions. Design comprehensive agent systems that transform post‑launch customer journeys through intelligent automation and proactive intervention. Define data architecture and governance frameworks that enable secure, scalable intelligence capabilities across AWS services. Develop success metrics to measure agent effectiveness, learning, and business impact across direct and partner‑led engagements. Execution & Delivery
Contribute to delivery of AI initiatives by writing clear Business Requirement Documents, PRFAQs, user stories, and acceptance criteria. Manage dependencies and unblock your team in a matrixed operating model by tracking dependencies, risks, and go/no‑go decisions to ensure timely feature releases. Oversee post‑launch outcomes by conducting A/B experiments at scale, surfacing adoption gaps, and driving corrective measures. Design and deploy feedback mechanisms that enable continuous learning and optimization across agent workflows. Lead agent pilots and testing programs to validate effectiveness and scalability. Stakeholder Management & Communication
Collaborate with engineering and other AWS teams to align on agent architecture and integration approach. Drive alignment on integration approaches with existing AWS systems while maintaining enterprise‑grade security standards. Conduct Voice of the Customer activities through interviews, focus groups, and surveys to capture field/account team/partner inputs and validate prototypes. Communicate regularly on status & progress through written briefings, demos, and stakeholder reviews and help develop training materials and release notes to support adoption. About the team
Diverse experiences and inclusive culture are core to our team. We value curiosity, collaboration, and continuous learning, and we foster an environment where every team member can thrive. Basic Qualifications
5+ years of working with Data & AI related technologies, including AI/ML, GenAI, analytics, database, and/or storage experience. Deep understanding of large language models, agent architectures, and modern AI/ML frameworks. Proven track record designing and implementing data platforms that enable automated workflows. Strong technical background in computer science, ML/AI, or related field. Experience delivering complex technical initiatives in enterprise environments. Preferred Qualifications
Experience developing, deploying, and managing AI products at scale. Knowledge of AWS or cloud technologies. Experience developing unified intelligence platforms that serve diverse stakeholders. MBA or equivalent experience in technical product strategy. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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Job ID: 3157254 | Amazon Web Services, Inc. As a Senior Product Manager-Technical on the Customer Success (CS) Intelligence team within the AWS Specialists & Partners (ASP) org, you will architect and drive the development of AWS' next‑generation CS intelligence stack and AI‑powered agents. This dual mandate includes building a unified data foundation that enables real‑time visibility into AWS service usage and customer value realization, while pioneering autonomous CS agents that proactively drive adoption and business outcomes for customers. Key responsibilities
Architect the vision and roadmap for AWS' unified CS intelligence stack, combining real‑time telemetry, predictive analytics, and autonomous agent capabilities. Contribute to the product vision and roadmap for CS agents that support both direct and partner‑led customer success motions. Design comprehensive agent systems that transform post‑launch customer journeys through intelligent automation and proactive intervention. Define data architecture and governance frameworks that enable secure, scalable intelligence capabilities across AWS services. Develop success metrics to measure agent effectiveness, learning, and business impact across direct and partner‑led engagements. Execution & Delivery
Contribute to delivery of AI initiatives by writing clear Business Requirement Documents, PRFAQs, user stories, and acceptance criteria. Manage dependencies and unblock your team in a matrixed operating model by tracking dependencies, risks, and go/no‑go decisions to ensure timely feature releases. Oversee post‑launch outcomes by conducting A/B experiments at scale, surfacing adoption gaps, and driving corrective measures. Design and deploy feedback mechanisms that enable continuous learning and optimization across agent workflows. Lead agent pilots and testing programs to validate effectiveness and scalability. Stakeholder Management & Communication
Collaborate with engineering and other AWS teams to align on agent architecture and integration approach. Drive alignment on integration approaches with existing AWS systems while maintaining enterprise‑grade security standards. Conduct Voice of the Customer activities through interviews, focus groups, and surveys to capture field/account team/partner inputs and validate prototypes. Communicate regularly on status & progress through written briefings, demos, and stakeholder reviews and help develop training materials and release notes to support adoption. About the team
Diverse experiences and inclusive culture are core to our team. We value curiosity, collaboration, and continuous learning, and we foster an environment where every team member can thrive. Basic Qualifications
5+ years of working with Data & AI related technologies, including AI/ML, GenAI, analytics, database, and/or storage experience. Deep understanding of large language models, agent architectures, and modern AI/ML frameworks. Proven track record designing and implementing data platforms that enable automated workflows. Strong technical background in computer science, ML/AI, or related field. Experience delivering complex technical initiatives in enterprise environments. Preferred Qualifications
Experience developing, deploying, and managing AI products at scale. Knowledge of AWS or cloud technologies. Experience developing unified intelligence platforms that serve diverse stakeholders. MBA or equivalent experience in technical product strategy. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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