Lillian Tseng
About Lillian Tseng
Lillian Tseng is a Senior Product Manager with extensive experience in product development and management, having worked at notable companies such as Microsoft and PlayPosit. She holds a Bachelor of Science in Electrical and Computer Engineering from Franklin W. Olin College of Engineering and has contributed to various projects, including a machine learning-based Soil ID algorithm.
Work at Tech Matters
Lillian Tseng currently holds the position of Senior Product Manager at Tech Matters, a role she has occupied since 2023. In this capacity, she oversees the development of mobile and web applications, managing a cross-functional team that includes three engineers, two designers, and another product manager. Her responsibilities include preparing go-to-market strategies and marketing materials for product launches.
Previous Experience at Microsoft
Lillian Tseng worked at Microsoft as a Program Manager from 2013 to 2015 in Redmond, WA. During her tenure, she contributed to various projects and initiatives. Prior to this, she completed a three-month internship as a Program Manager Intern in 2012, gaining valuable experience in product management within a leading technology company.
Background in Engineering and Research
Lillian Tseng studied at Franklin W. Olin College of Engineering, where she earned a Bachelor of Science (B.S.) in Electrical and Computer Engineering from 2009 to 2013. In 2011, she worked as a NASA Research intern for three months in the Greater Boston Area, where she likely engaged in projects related to engineering and technology.
Experience in Product Management
Before joining Tech Matters, Lillian Tseng served as a Senior Product Manager at mmhmm from 2021 to 2022. She also worked at PlayPosit as a Technical Product Manager from 2019 to 2021. Her role at PlayPosit involved developing educational technology products, enhancing user engagement through innovative features.
Achievements in Product Development
Lillian Tseng has developed a machine learning-based Soil ID algorithm to improve soil predictions within the LandPKS apps. She has conducted user interviews with farmers and ranchers to gather feedback for app improvements and presented app designs to partner organizations at national and international levels, managing stakeholder expectations effectively.