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LanceDB, the AI-native Multimodal Lakehouse, seeks its first product security-focused engineer to shape platform security. You will collaborate with senior engineers to drive security improvements that align with product goals and customer needs.
Day-to-day work includes implementing key rotation, API credentials management, RBAC, and encryption features, while applying current best practices to a high-throughput data platform. This role blends hands-on coding with security strategy.
AI advances at the speed of its research, and research moves at the speed of its data. LanceDB is the AI-native Multimodal Lakehouse: one system where a researcher curates petabytes of video, audio, and every signal derived from them with a few lines of Python, and the next training run starts as fast as the next idea. Customers like Runway, Midjourney, and Netflix build the future of AI on LanceDB, from frontier and world models to robots and autonomous vehicles.
AI advances at the speed of its research, and research moves at the speed of its data. LanceDB is the AI-native Multimodal Lakehouse: one system where a researcher curates petabytes of video, audio, and every signal derived from them with a few lines of Python, and the next training run starts as fast as the next idea. Customers like Runway, Midjourney, and Netflix build the future of AI on LanceDB, from frontier and world models to robots and autonomous vehicles.
Of particular note: qualified candidates for this role will have day-to-day coding responsibilities - this is an appsec and devsecops role, not an infosec or platform security role.