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# Rahul Shivroop

**Headline:** Professional profile
**Location:** Seattle, WA, USA

## About

Rahul Shivroop is a product manager whose most recent role was Senior Product Manager Intern at Amazon\. Rahul builds AI\-enabled customer\-support and returns\-platform products, with particular strength in turning messy data into logical customer\-return insights and driving data\-backed changes across teams\. At Amazon, Rahul designed an evaluation harness for a returns platform and supported a taxonomy redesign projected to deliver $450 million in annual savings through improved categorization\. Earlier, Rahul built AI products using GPT\-3\.5 for multilingual customer\-support automation\. At Joro, Rahul built a customer\-success chatbot that reduced ticket volume by 40% and cut resolution time from eight hours to two hours\. Rahul’s work combines end\-to\-end product ownership, cross\-functional coordination, and thoughtful safeguards for human involvement in automation\.

## Highlights

- Built a customer\-success chatbot at Joro that reduced ticket volume by 40%\.
- Reduced customer\-support resolution time at Joro from eight hours to two hours through a chatbot\.
- Designed an evaluation harness for a returns platform at Amazon\.
- Supported a returns taxonomy redesign at Amazon projected to deliver $450 million in annual savings through improved categorization\.
- Most recently served as a Senior Product Manager Intern at Amazon\.
- Built early AI products using GPT\-3\.5 for multilingual customer\-support automation\.
- Turns messy data into logical customer\-return insights\.
- Drives data\-backed change through cross\-team coordination\.
- Brings end\-to\-end ownership and thoughtful human\-automation safeguards to product work\.

## FAQ

### What does Rahul do?

Rahul Shivroop most recently served as a Senior Product Manager Intern at Amazon\. Rahul has also built AI\-enabled customer\-support products at Joro and earlier used GPT\-3\.5 for multilingual support automation\.

### What are Rahul's core strengths?

Rahul is strongest at converting messy data into logical customer\-return insights, coordinating teams around data\-backed changes, and owning AI automation products end to end with thoughtful human safeguards\.

### What did Rahul accomplish at Amazon?

At Amazon, Rahul designed an evaluation harness for a returns platform\. The work supported improved categorization through a taxonomy redesign projected to generate $450 million in annual savings\.

### What did Rahul accomplish at Joro?

Rahul built a customer\-success chatbot at Joro that reduced ticket volume by 40% and decreased resolution time from eight hours to two hours\.

### What AI product experience does Rahul have?

Rahul has early experience building AI products with GPT\-3\.5 for multilingual customer\-support automation\.

### How does Rahul approach automation?

Rahul emphasizes end\-to\-end ownership and thoughtful safeguards for human involvement in automation while using AI to support customer\-service workflows\.

## Links

- LinkedIn: https://www\.linkedin\.com/in/ACoAABpqqFUBHBLIueYo5at1EE2B1vTWvaFRprg

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