Lauren Oh
About Lauren Oh
Lauren Oh is a Senior Product Manager at Scale AI, specializing in Generative AI Data Engine. She has a strong background in software engineering and product management, with experience at prominent organizations such as MIT, DeepMind, and Stripe.
Current Role at ScaleAI
Lauren Oh serves as the Senior Product Manager for the Generative AI Data Engine at Scale AI. In this role, she enhances the company's data systems specifically for Generative AI, focusing on improving data quality and enabling data-driven decision-making. She has been with Scale AI in this capacity since 2023 and is based in San Francisco, California.
Previous Experience at ScaleAI
Lauren Oh has held multiple positions at Scale AI prior to her current role. She worked as a Software Engineer from 2021 to 2022, where she contributed to the company's internal operations system. She also served as a Product Manager for Content Understanding from 2022 to 2023. During her time at Scale AI, she played a significant role in initiatives that led to rapid revenue growth and improved service offerings.
Internships and Early Career
Lauren gained valuable experience through various internships at notable organizations. She interned at DeepMind in 2020, Google in 2019, and Stripe in 2021, each for two months. Additionally, she worked as a Software Engineer Intern at Scale AI for two months in 2021. These roles provided her with a strong foundation in software engineering and product management.
Education and Academic Involvement
Lauren Oh studied Mathematics and Computer Science at the Massachusetts Institute of Technology (MIT), earning her Bachelor of Science degree from 2017 to 2021. During her time at MIT, she was actively involved in various organizations, including serving as the Membership Development Chair for the Society of Women Engineers and as the Tournament Director for the Harvard-MIT Mathematics Tournament.
Contributions to Generative AI Initiatives
As a founding member of the Generative AI team at Scale AI, Lauren focused on labeling initiatives for Large Language Model builders. She has led multiple 0 to 1 initiatives, collaborating with cross-functional teams that include engineering, design, and finance. Her efforts have been instrumental in developing processes for fast, high-quality data delivery to enterprise customers.