LanceDB is a developer-friendly, open source database for multimodal AI. From hyper scalable vector search to advanced retrieval for RAG, from streaming training data to interactive exploration of large scale AI datasets, LanceDB is the best foundation for your AI application.
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Developer-friendly, open source database for multi-modal AI
LanceDB is a developer-friendly, open source database for multimodal AI. From hyper scalable vector search to advanced retrieval for RAG, from streaming training data to interactive exploration of large scale AI datasets, LanceDB is the best foundation for your AI application.
Currency and observation date were not supplied; this is not a current valuation or a funding round.
LanceDB has 6 open jobs in Canada as of November 6, 2026.
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LanceDB
10+ YOECandidates need 10+ years in software engineering or test infrastructure, including distributed or large-scale data systems. They need strong Python and a systems language, plus fault injection, performance testing and skilled use of AI coding tools.
Linux, Kubernetes, CI/CD systems, Parquet, Apache Arrow, DataFusion
LanceDB
8+ YOECandidates need 8+ years in documentation engineering, developer-focused technical writing or software engineering. They need strong Python skills, fluency with AI coding tools, Git and Markdown, and an interest in databases and vector search.
Git, Markdown, Python, SQL, AI coding assistants
LanceDB
7+ YOECandidates need 7-10 years of B2B marketing for technical products, with depth in account-based marketing and a track record of sourcing enterprise pipeline. They must be hands-on, comfortable building processes from scratch, and skilled with martech tools and data analysis.
HubSpot, Common Room, Clay
LanceDB
8+ YOECandidates need 8+ years as a software engineer, with significant appsec experience, large-scale data platform work, and coding in Rust and/or C++. They must have been the primary engineer building encryption, authentication or authorization features in shipped products, and show ownership of ambiguous projects.
ML, Communication skills
LanceDB
10+ YOECandidates need 10+ years in customer- or partner-facing technical roles, ideally with data platforms or distributed systems. Strong Python skills, familiarity with Rust, deep knowledge of distributed systems and Kubernetes, and excellent communication skills to present to technical and executive audiences are required.
Python, Rust, Kubernetes, Terraform, Docker, Kafka
LanceDB
10+ YOECandidates need 10+ years in a highly technical role and 5+ years of product work, including shipping products end to end. They should understand large-scale data platforms and AI researchers, and be comfortable using data to guide decisions.
Leadership, ML, Prioritization, Communication skills
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