Product Manager - Technical, AI Voice, Ring & Blink Customer Service Technology

Amazon

Hawthorne, CA, US
151,200.00 - 204,600.00 usd annually py
On-site
Product lifecycle ownership for voice ai
Amazon bedrock and llm architecture expertise
Cross-functional execution with engineering teams
Amazon is seeking a Technical Product Manager for its Ring and Blink AI Voice products, responsible for overseeing the entire product lifecycle from vision to operations. The role requires expertise in conversational AI and customer service technology, with a focus on data-driven product improvements and managing vendor relationships

Job Summary

  • This role owns the complete product lifecycle for Ring and Blink's AI voice agents, handling hundreds of thousands of customer calls monthly.
  • The position requires making informed tradeoffs across LLM architectures, prompt strategies, and dialog management designs in a rapidly evolving landscape.
  • Success is measured by containment, resolution rates, CSAT, and cost-per-contact outcomes while iterating weekly based on real production data.

Matching Summary

Match Score: 85

Amazon is seeking a Technical Product Manager for its Ring and Blink AI Voice products, responsible for overseeing the entire product lifecycle from vision to operations. The role requires expertise in conversational AI and customer service technology, with a focus on data-driven product improvements and managing vendor relationships.

Salary

151,200.00 - 204,600.00 USD annually

Skills & Requirements

Must-have

  • Product lifecycle ownership for voice AI
  • Amazon Bedrock and LLM architecture expertise
  • Cross-functional execution with engineering teams
  • Data-driven product improvement cycles
  • Vendor and platform partnership management

Nice-to-have

  • Experience with Amazon Connect and Salesforce
  • International market expansion knowledge
  • Strong consensus building across functions
  • Rapid iteration based on production data

Key Requirements

  • Strategic vision definition for multi-quarter roadmaps
  • Root cause analysis and failure mode identification skills
  • Ability to navigate technical complexity in AI infrastructure

Work Rights

Not specified

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