LanceDB
The Senior Fullstack Engineer at LanceDB is responsible for enhancing the user experience of a high-performance vector database designed for multimodal AI. The role involves developing scalable backends and creating compelling front-end applications using technologies like TypeScript, React, and Python, while closely collaborating with designers and team members to optimize performance and practices. Candidates should have significant experience with both front-end and back-end systems, vector databases, and a strong focus on delivering an exceptional end-to-end user experience in a fast-paced, cloud-native environment.
Headquarters
San Francisco, California, United States
Company Size
11-50 employees
Founded
2022
LanceDB is a multimodal lakehouse for AI, designed to accelerate large-scale data curation and feature engineering so teams can build better models faster. It supports use cases including dataset deduplication, feature engineering with Python UDFs, unified vector and full-text search, and direct model training from curated data. LanceDB leverages the Lance open-source storage format to efficiently manage multimodal data across the full AI development lifecycle.
LanceDB raises $30 million for multimodal AI data infrastructure
Jun 24, 2025
A scalable, elastic database and search solution for 1B+ vectors built on LanceDB and Amazon S3
Sep 22, 2025
LanceDB, which counts Midjourney as a customer, is building databases for multimodal AI
May 15, 2024
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for LanceDB.
LanceDB raises $11M to build an open-source multimodal AI database for app development
May 15, 2024