Senior Product Security Engineer at LanceDB (United States / Canada)
LanceDB· United States / Canada· $180k–$250k·
Role details
Equity
Summary
As the first security-focused engineer, you will drive security posture improvements for the LanceDB platform. You will select and tune security tooling, manage vulnerabilities, and collaborate with engineering teams to ensure compliance and best practices.
Job description
ABOUT LANCEDB
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.
ABOUT THE ROLE
- Our first product security-focused engineer
- Takes high-level direction (e.g., “identify top five security-related gaps for AX”) and drives to results
- Success looks like a LanceDB platform that follows security-related best practices, and an ongoing partnership with other engineers to continuously enhance our security posture in all areas of the product
WHAT YOU’LL DO
- Drive new security-related functionality such as key rotation, user-managed API credentials, RBAC, and the like
- Select, deploy and tune security tooling across all relevant repos and environments, ensuring full coverage
- Apply relevant industry trends, best practices, and specific vulnerabilities to our product
WHAT WE’RE LOOKING FOR
- 8+ years as a software engineer, with a significant portion of that time working on appsec-related work
- Experience working on large-scale data platforms (e.g., databases, data infra, ML/AI systems), including work on concurrency and multitenancy
- Demonstrated ability to code in Rust and/or C++
- Experience building encryption, authentication, and/or authorization features for shipping products at high throughput
- Previous experience working at an early-stage startup
- 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. 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.
Why work at LanceDB
- Culture: Startup environment with deep open-source roots; founders are former pandas co-author (Chang She) and HDFS/core contributor (Lei Xu). Engineering-heavy team (38% technical).
- Remote/hybrid policy: Not explicitly stated; likely flexible given distributed team (US, Canada, China) and startup nature.
- Notable perks/engineering culture: Work on foundational AI infrastructure used by Midjourney and Runway. Opportunities to contribute to open-source, build in Rust, and shape the multimodal data ecosystem. Fast-growing company with strong investor backing.