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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Manager, Product Management, Customer Success Intelligence, AWS Specialist and Partner Organization - **Company:** Amazon.com, Inc. - **Location:** Mountain View, CA, United States - **Experience:** Expert - **Salary:** $197,900.0 - $294,500.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing, Data Security, Machine Learning, Software Product Management, Recommender Systems, Information Technology, Data Management - **Published:** May 31, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=8b011b8f616f8e61 ## About the Role * 7+ years of people management, managing engineers experience * Bachelor's degree in Computer Science, Engineering, or a related technical field * 10+ years of product management or technical product management experience, with emphasis on AI/ML, data platforms, or intelligent systems - Experience owning/driving roadmap strategy and definition for platform or infrastructure products - Experience with end-to-end product delivery including ML model development, agent/automation systems, or data platform products * Experience with feature delivery and tradeoffs of a product - making high-judgment sequencing decisions across competing priorities * Experience engaging and influencing senior executives across engineering, GTM, and operations organizations * Experience recruiting and developing high-performing technical teams that deliver outsized results in ambiguous, fast-moving environments, * Knowledge of AWS or cloud technologies * MBA or advanced degree in a technical field (CS, ML, Data Science) * Experience building and scaling AI/ML-powered products from 0-to-1 - agent systems, recommendation engines, predictive platforms, or intelligent automation * Experience with customer success, partner ecosystems, or post-sales product development - Experience building products that serve both internal teams and external customers/partners simultaneously (platform-as-a-product) * Track record of productizing manual/human processes through intelligent automation while maintaining quality * Experience operating in a GTM or commercial organization (not purely engineering) - understanding partner economics, pricing, and commercial model innovation ## Description AWS is seeking an experienced and strategic Senior Manager, Product Management, to lead the CS Intelligence team within the Customer Success Center of Excellence (CS COE), a critical function within the AWS Specialists & Partners (ASP) organization. This role will manage a team of Product Managers who own the customer success platform that scales customer success across AWS. As a product leader, you will be responsible for transforming the CS COE from a services team into a product team - building and operating an AI-native platform that powers all Customer Success motions (including Agentic Customer Success). This is a unique opportunity to build a new product capability at AWS, creating an end-to-end system for customer success that partners and customers can build on. You will lead a distributed team building specialized AI agents (engagement routing, health monitoring, partner qualification, outcome prediction), platform infrastructure, and post-launch tooling integrations. This leader must be comfortable operating in ambiguity, making high-judgment sequencing decisions across a complex roadmap, and delivering through influence across engineering teams, field organizations, product teams, and partner ecosystems. The ideal candidate brings deep experience building AI/ML-powered products from 0-to-1, combined with the ability to operate at the executive level with both internal stakeholders and external partners. Key job responsibilities * Own the product vision, strategy, and roadmap for the Customer Success platform - the AI/ML intelligence layer powering customer success at scale across AWS * Lead, coach, and develop a high-performing team of Product Managers, fostering a culture of customer obsession, technical excellence, and continuous learning * Scale Customer Success agents from prototype to production, with measurable quality thresholds and continuous retraining based on outcome data * Partner with internal field roles to translate field observations into agent requirements, and with engineering teams to secure data inputs and integration surfaces * Establish rigorous success metrics for the platform: agent precision/recall, engagement routing accuracy, coverage expansion, and customer value realization * Recruit, hire, and onboard top product and technical talent to scale the team as the platform matures * Deliver through influence - working across multiple VPs and their orgs, product teams, and partner networks to drive requirements and adoption without direct authority * Champion AI-first ways of working across the CS COE and the broader AWS field delivering 3-5x Customer Success coverage through intelligent automation About the team Diverse Experiences ## Related Videos - [Crypto-secure Data Management with In-Database Blockchain](https://www.wearedevelopers.com/videos/632-crypto-secure-data-management-with-in-database-blockchain) - [Building Products in the era of GenAI](https://www.wearedevelopers.com/videos/827-building-products-in-the-era-of-genai) - [Green Cloud Computing](https://www.wearedevelopers.com/videos/592-green-cloud-computing) - [It's all about the Data](https://www.wearedevelopers.com/videos/425-it-s-all-about-the-data) - [Web-based Information Visualization](https://www.wearedevelopers.com/videos/84-web-based-information-visualization) - [WebAssembly: The Next Frontier of Cloud Computing](https://www.wearedevelopers.com/videos/972-webassembly-the-next-frontier-of-cloud-computing) ## Related Articles - [From developer to manager – what does it take to become an engineering manager?](https://www.wearedevelopers.com/magazine/42-from-developer-to-manager-what-does-it-take-to-become-an-engineering-manager) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)