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Connie Chiu

Connie Chiu

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Alexa AI Senior Product Manager @ AI Product Leader | Conversational AI, Content Moderation | ex-Amazon Alexa, Etsy, SHEIN | Built AI Products Driving CX & Engagement at Scale
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Education

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UC San Diego

Bachelor of Applied Science (B.A.Sc.), Computer Engineering -

Work Experience

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SHEIN Technology LLC

2024-01-01 - 2025-02-01

SHEIN Technology LLC

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Etsy

2022-01-01 - 2023-01-01

Etsy

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Amazon

2017-09-01 - 2021-11-01

Amazon

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Cisco

2007-01-01 - 2016-09-01

Cisco

Skills

Platform Strategy international product launch A/B Testing Personalization MLOps Technical Project Leadership Natural Language Processing (NLP) Peer Mentoring Conversational AI Large Language Models (LLM) Executive-level Communication Product Vision Online Marketplace Gen AI Artificial Intelligence (AI) Strategic Planning Product Launch Problem Solving Communication Workload Prioritization

Summary

AI Product leader with diverse experience building and scaling machine learning products and platforms at companies like Amazon Alexa, SHEIN, Etsy, and Cisco. specialize in taking AI research from 0-to-1 to global scale, applying technologies like NLP, computer vision, and generative AI to global products that improve user experience and drive business impact. Most recently at SHEIN,I launched an AI driven product review solution to enhance product review accuracy and efficiency while reducing legal liability exposure. At Amazon, I led the international expansion of Alexa across Europe, launching 240+ features across six device categories. I partnered closely with research scientists and cross-functional stakeholders to design and scale CPDR, a ML-based predictive customer experience metric that became the standard launch guardrail across Alexa, reducing user friction by $XM annually and elevated how conversational AI product quality was measured and operationalized at scale. I excel in cross-functional environments where AI research meets product strategy. I bridge technical depth and product strategy,collaborating with research scientists, aligning OKRs across orgs, and scaling AI solutions across diverse geographies and user bases.

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