ROLE - Engineer focusing on providing optimal user and agent experiences on the LanceDB platform. - Takes high-level direction (e.g., "identify where UX is significant ahead of AX and drive more parity") and drives to results - Success looks like a LanceDB platform that incorporates compelling user and agent experiences for exploring and managing their multimodal data, enabling more adoption and increased usage. Day-to-day - Work with the rest of engineering to optimize user and agent experience across their parts of the platform. - Build scalable backends for LanceDB Enterprise to support user and agent experiences across billion-scale datasets. - Our tech stack: Rust, Typescript, React, Python, k8s, Terraform, CSPs Qualifications - 8+ years as a software engineer - Experience working on frontend and backend parts of large-scale data platforms (e.g., databases, data infra, ML/AI systems), including work on concurrency and multitenancy - Experience crafting UIs using Typescript, React/next.js/Vercel, CLIs, and APIs - Experience building elegant user-oriented and agent-oriented experiences - Experience building infrastructure with CSP stacks, Terraform, and k8s - Demonstrated ownership of ambiguous projects with minimal guidance - Strong written and verbal communication (can drive alignment across teams) - Comfortable using data (metrics, experiments, usage) to guide decisions - Experience contributing to or working with open source communities Please apply for this role only if you meet all of the above qualifications, and agree with the day-to-day responsibilities. About LanceDB LanceDB is a developer-friendly, open-source data platform for multimodal AI. From hyper-scalable vector search to advanced retrieval for RAG, from streaming training data to interactive exploration of large-scale datasets, LanceDB is the best foundation for your AI workloads.