Senior Product Security Engineer

Department: Engineering

Location: Americas or APAC timezones

Compensation: $180K – $250K • Offers Equity

Employment Type: FullTime

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

Day-to-day

• 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

Qualifications

• 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.

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.