LanceDB
The Senior Customer Success Engineer at LanceDB serves as a key technical advisor for strategic customers, focusing on the deployment, operation, and scaling of the LanceDB database across production environments. With over 10 years of experience in post-sales engineering or related roles, the engineer will leverage expertise in Rust, Python, and distributed systems to guide customers through onboarding, optimize system performance, and address complex technical issues. This role involves collaboration with product and engineering teams to enhance customer experience and influence product development while tracking success metrics and driving continuous improvements.
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