Teams at LanceDB

Own system-level testing for Lance and LanceDB across correctness, reliability, scalability, performance, data integrity, fault recovery, upgrades, and compatibility. Build automated test frameworks, realistic workloads, fault-injection scenarios, performance and soak tests, and reproducible CI environments. Investigate failures using logs, metrics, traces, and source code, create minimal reproductions, and partner with engineers on fixes. Apply AI tools responsibly to accelerate test development, failure analysis, and debugging.

Own LanceDB’s technical product marketing, including benchmarks, demos, technical deep dives, reference architectures, competitive intelligence, sales enablement, and product update videos. Partner with Engineering, DevRel, Sales, customers, and external contributors to create credible technical proof for AI researchers and platform engineers. Build hands-on demos, translate technical results into market-facing content, support launches and events, and guide competitive positioning.

Build and optimize distributed Lance dataset operations, high-performance indices, table formats, and data encodings in Rust. Develop integrations with Spark, Hive Metastore, Presto, Trino, Ray, and other data infrastructure systems. Improve internal data processing infrastructure, contribute to open-source communities, and promote Lance through technical conferences. The role requires deep distributed systems expertise and extensive experience with high-performance databases, big data, or AI training systems.