Staff Backend Engineer, Internal Products

WHO WE ARE:

Video is 90% of the world's data. Most of it is invisible to machines.
TwelveLabs builds the intelligence layer to change that. Our multimodal AI models understand video the way humans do — across sight, sound, and motion — and power production-scale AI workloads across media, entertainment, sports, security, and government.

We have raised more than $210 million from NEA, Radical Ventures, Amazon, NVIDIA, Snowflake, Databricks, Index Ventures, NAVER Ventures, Korea Investment Partners, Quadrille Capital, Red Bull Ventures, and AI pioneers including Fei-Fei Li, Silvio Savarese, and Alexandr Wang.

We are a global company, headquartered in San Francisco with offices in Seoul, New York, and London, and employees around the world. We believe the differences in our cultural, educational, and life experiences make our products stronger. Building technology that understands the world in all its complexity requires people who see it from every angle. We are looking for individuals who are driven by hard problems and want their work to matter. Come build it with us!

ABOUT THE ROLE:

TwelveLabs builds multimodal foundation models and products for multimodal intelligence and orchestration. The quality of those models and products depends on the quality of the data and evaluation work behind them, and that work depends on the internal tools the team uses daily.

This role will own and build internal products to support model evaluation, regression testing, dataset discovery, and agentic context curation.

This is a hybrid, high autonomy role and the first on this team. You will have full ownership and drive implementation of mission-critical internal products for all members of TwelveLabs.

YOU WILL:

Unify the internal data and evaluation platform. Pull the internal beta access, evaluation, regression, and dataset discovery/cataloging products into one maintainable system that science, product, and engineering use every day.

Build a secure access lay...