Senior Product Manager (Tech), CAM
Amazon.com
Description
Are you passionate about leveraging evolving LLM technology to solve one of Amazon's most fundamental challenges? Do you want to be build the platform that processes over 3 billion customer interactions annually and transforms months of technical work into minutes? As the Senior Product Manager - Technical for the Customer Anecdote Miner [CAM] Platform (winner of the 2024 Global Door Desk Award), you'll shape the future of how Amazon teams understand and act on customer feedback at unprecedented scale.
Key job responsibilities
Your primary responsibility will be driving the technical evolution of CAM into a self-service solution that can be used by all Amazon teams. You'll own critical components that transform raw customer feedback into actionable intelligence through breakthrough auto-taxonomy systems and LLM architecture. Specifically, you will:
1) Drive the technical roadmap and architecture decisions for our auto-taxonomy generation system
2) Own the development of our unified LLM-powered analysis engine that processes diverse feedback sources
3) Lead the platform's evolution toward a fully self-service solution
4) Define and execute the strategy for automated pipeline configuration and monitoring
5) Partner with AWS teams to shape our future cloud offering
6) Build and maintain relationships with key stakeholders within and beyond Amazon Retail
7) Define success metrics and track platform adoption across the organization
A day in the life
You'll operate at the intersection of evolving ML technology and real-world business impact. A typical day might include:
1) Working closely with Amazon teams to understand their feedback analysis needs, and onboarding them as users of CAM
2) Defining platform features and requirements for upcoming releases
3) Collaborating with ML Scientists and Engineers to build and optimize our offerings
4) Analysing platform metrics to identify performance optimization opportunities
5) Contributing to technical design reviews for new features
6) Reviewing customer feedback and usage patterns to guide product evolution
Are you passionate about leveraging evolving LLM technology to solve one of Amazon's most fundamental challenges? Do you want to be build the platform that processes over 3 billion customer interactions annually and transforms months of technical work into minutes? As the Senior Product Manager - Technical for the Customer Anecdote Miner [CAM] Platform (winner of the 2024 Global Door Desk Award), you'll shape the future of how Amazon teams understand and act on customer feedback at unprecedented scale.
Key job responsibilities
Your primary responsibility will be driving the technical evolution of CAM into a self-service solution that can be used by all Amazon teams. You'll own critical components that transform raw customer feedback into actionable intelligence through breakthrough auto-taxonomy systems and LLM architecture. Specifically, you will:
1) Drive the technical roadmap and architecture decisions for our auto-taxonomy generation system
2) Own the development of our unified LLM-powered analysis engine that processes diverse feedback sources
3) Lead the platform's evolution toward a fully self-service solution
4) Define and execute the strategy for automated pipeline configuration and monitoring
5) Partner with AWS teams to shape our future cloud offering
6) Build and maintain relationships with key stakeholders within and beyond Amazon Retail
7) Define success metrics and track platform adoption across the organization
A day in the life
You'll operate at the intersection of evolving ML technology and real-world business impact. A typical day might include:
1) Working closely with Amazon teams to understand their feedback analysis needs, and onboarding them as users of CAM
2) Defining platform features and requirements for upcoming releases
3) Collaborating with ML Scientists and Engineers to build and optimize our offerings
4) Analysing platform metrics to identify performance optimization opportunities
5) Contributing to technical design reviews for new features
6) Reviewing customer feedback and usage patterns to guide product evolution
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