LanceDB
A Forward Deployed Engineer at LanceDB is responsible for engaging directly with strategic customers to design, deploy, and scale LanceDB’s cloud-native vector database in production environments. This technical role involves writing production-grade code in Rust and Python, integrating LanceDB with existing data infrastructure, and influencing product features based on customer feedback. The engineer will also diagnose complex issues and deliver workshops, ensuring that customer requirements are met while contributing to the core product development. Candidates must have a strong background in distributed systems, cloud-native databases, and relevant programming languages.
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