Technical Product Manager with a strong technical foundation, who has built and scaled 10+ data-driven products and platform capabilities from 0→1. I partner closely with engineering and design, thrive in ambiguity, and take real ownership of roadmaps, execution, and outcomes.

Experience

PayPalSenior Product Manager

2026 — Now

San Francisco Bay Area

MarTech, Data Platforms, and AI

StarbucksTechnical Product Manager II

2025 — 2026

StarbucksTechnical Product Manager I

2024 — 2025

Seattle, Washington, United States

Technical Product Manager - Data Platform (Customer Preferences + Personalization, Loyalty, Data Privacy, and Marketing Systems Integration)

Customer Data and Platform Migration:

Supported a multi-year program to re-architect customer and account systems, enhancing data quality, scalability, and fault tolerance. Managed stakeholder communication, migration health, and 70+ testing sessions. Assisted the cloud uplift and migration of 17 clients across 55 use cases, driving real-time data processing and system performance improvements. Delivered a future-proof architecture with measurable business impact.

Data Domain Design & Development for Customer Preference:

Introduced and led the design and development of a new, scalable domain for managing user preferences, ensuring successful upstream integration and downstream syndication with existing data platforms and clients. Optimized performance and scalability with Kafka, Databricks, and Cassandra, driving business impact through enhanced personalization management. Directed cross-functional teams through complex data migration, aligning technical solutions with business goals and establishing a foundation for future domain growth.

StarbucksTechnical Product Manager Intern

2023 — 2024

Seattle, Washington, United States

Data Visualization Dashboard

Led design and delivery of a real-time customer data dashboard using Tableau and Power BI, backed by Azure, Databricks, NoSQL/SQL, Python, and PySpark.

Defined data structures and compliance requirements to support live aggregation and visualization, enabling clients to better understand customer profiles and drive data-informed decisions.

Customer FAQ Chatbot

Developed and deployed a chatbot powered by vector databases and OpenAI NLP (Streamlit, OpenAI APIs) to surface accurate customer information.

Reduced customer service center load by 20%+ and optimized data storage costs by introducing automated query handling and knowledge retrieval.

Computer Vision Application

Product-managed the build of an inventory recognition tool with React and Azure Machine Learning, trained on 1K+ images.

Reduced food waste by 20–30% and cut expenses by 10%+ by enabling automated classification of inventory items, improving sustainability and cost management.