About the job
About David AI
David AI is pioneering the field of audio data research, applying rigorous R&D principles to create datasets akin to those utilized by AI laboratories. Our mission is to seamlessly integrate AI into everyday life, leveraging the unique advantages of audio as a medium. As the demand for high-quality training data surges, especially in the evolving landscape of audio AI, David AI is positioned at the forefront of this transformation.
Founded in 2024 by a talented group of former Scale AI engineers, we have quickly gained traction, securing partnerships with major FAANG companies and leading AI research labs. Recently, we successfully completed a $50M Series B funding round, attracting investments from esteemed firms like Meritech, NVIDIA, and First Round Capital.
Our team embodies sharp intellect, humility, ambition, and a close-knit culture. We invite exceptional minds in research, engineering, product, and operations to join us in our quest to advance the boundaries of audio AI.
About our Data Operations Team
The Data Operations team is the powerhouse behind David AI's Data Factory, dedicated to converting raw audio into premium training datasets for top AI labs. Our focus is on rapidly developing new data pipelines and executing them on a grand scale.
This entails initiating from a model capability we aim to unlock, experimenting with diverse data shapes and collection methods, and validating these approaches with researchers. Once a method proves effective, we industrialize it, creating pipelines that process audio data with unwavering reliability, quality, and efficiency. We are relentless operators who excel in dynamic environments, equally adept at prototyping innovative workflows as we are at managing extensive production systems.
Your Role as General Manager of Data Operations
In the role of General Manager, you will oversee a pivotal function within David AI. You will be responsible for a significant segment of our Data Factory, which serves as the engine for generating high-quality, scalable data. Your leadership will guide the team in constructing and expanding pipelines, transitioning from initial experiments that unlock new model capabilities to large-scale industrialization that ensures reliable and efficient data processing.

