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亚马逊Sr. Product Manager, Marketing, Marketing CX & AI Program

社招全职Product Management地点:北京状态:招聘

任职要求


基本任职资格
- 5+ years of product or program management, product marketing, business development or technology experience
- Bachelor's degree or equivalent
- Experience owning/driving roadmap strategy and definition
- Experience with end to end product delivery
- Experience with feature delivery and tradeoffs of a product
- Experience as a product manager or owner
- Experience owning technology products

优先任职资格
- Experience in influencing senior leadership through data driven insights
- Experience working across functional teams and senior stakeholders

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.

工作职责


- Multi-Agent System Architecture: Design and implement the Marketing Multi-Agent System architecture, orchestrating Strategy Planner, Context Summary, Content Generation, Distribution, and Tracking Agents 
- AI Agent Development: Lead the development of each specialized agent, ensuring they work cohesively to deliver end-to-end marketing automation 
- MVP & Prototype Delivery: Drive the delivery of AI engine MVP, demonstrating real data processing through complete agent workflows 
- Human-in-the-Loop Integration: Establish governance frameworks including Logs and Tracing features for human oversight and monitoring 
- Continuous Learning Systems: Implement self-learning capabilities that enable agents to improve performance through real-time feedback and optimization

A day in the life
Lead the development of the core Agentic AI Marketing Engine, forming the backbone of our autonomous marketing system. You will drive the technical strategy, architecture, and implementation of the multi-agent system that delivers hyper-personalized marketing experiences at scale.
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