---
title: 'Senior Product Security Engineer at LanceDB'
canonical: 'https://feeny.ai/job/senior-product-security-engineer-lancedb-united-states-canada-0b3xt2p24427'
type: 'job'
last_seen: '2026-09-06'
---

# Senior Product Security Engineer at LanceDB

- **Company:** LanceDB
- **Location:** United States / Canada
- **Compensation:** $180k–$250k
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-08-20
- **Last confirmed live:** 2026-09-06
- **Apply:** https://jobs.ashbyhq.com/lancedb/d86e0295-d4f3-45b7-93c2-b45309db9f89/application

**Skills:** Software Engineering, Large-scale Data Platforms, Databases, Data Infrastructure, ML/AI Systems, Concurrency, Multitenancy, Encryption, Authentication, Authorization, CSP Stacks, Object Storage Security, Disk/Volume Encryption, Key Rotation, CVE Management, Open Source Contribution

> 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.

## About LanceDB

## Core Business
- **Primary industry**: AI data infrastructure / vector databases / multimodal lakehouse
- **Target customers**: B2B – AI/ML teams, enterprises building generative AI, recommendation systems, and large-scale training pipelines.
- **Mission/purpose statement**: “Build Better Models, Faster” by providing a unified foundation to accelerate training dataset development.

## Products & Services
- **Embedded Vector Database**: Open-source vector database for multimodal AI, scaling to billions of embeddings with minimal management. Supports vector/semantic, full-text, and hybrid search combined with SQL filters.
- **Multimodal Lakehouse (LanceDB Enterprise)**: A unified platform for curation, feature engineering, retrieval, and training at massive scale. Includes automated pre-processing, versioning, branching, and rollback.
- **LanceDB Cloud**: Managed cloud service with auto re-indexing, caching, and a management dashboard – no server management required.
- **Lance Format**: A modern columnar data format optimized for AI training, analytics, and retrieval – significantly faster than Parquet and WebDataset.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total funding $41.1M; annual revenue $1.2M (LinkedIn estimate)
- **Notable Investors/Partners**: Theory Ventures (led Series A), CRV, Swift Ventures, Y Combinator.
- **Growth Signals**:
  - Headcount: 32 employees (+135% YoY, +9.3% monthly growth)
  - Customers include Midjourney, Runway (testimonials on lancedb.com)
  - 11,382 LinkedIn followers (+60.1% yearly)
  - 6 active job postings; monthly job posting trend +20%

## Competitive Advantages
- **Open-source core** with a permissive license, enabling community adoption and vendor lock-in avoidance.
- **Lance columnar format** – purpose-built for AI workloads, offering fast random access, column appends without rewriting, and 70% Model FLOPS Utilization (MFU) during training.
- **Multimodal by design** – stores vectors, images, tensors, video, and metadata in a single table, replacing 3–4 different data stores.
- **SSD-based ANN index** – scales beyond memory for low-latency billion-scale vector search on a single node.

## Strategic Focus
- Accelerate development of the Multimodal Lakehouse (announced with Series A)
- Expand enterprise features (managed cloud, security, compliance)
- Grow ecosystem integrations (Spark, Python UDFs, etc.)
- Scale go-to-market and customer success (hiring Forward Deployed Engineers, Solutions Engineers)

## Why Work Here
- **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.

## Sources
1. [lancedb.com](https://www.lancedb.com/)
2. [crunchbase.com](https://www.crunchbase.com/organization/lancedb)
3. [linkedin.com](https://www.linkedin.com/company/lancedb)
4. [ycombinator.com](https://www.ycombinator.com/companies/lancedb)
5. [jobs.ashbyhq.com](https://jobs.ashbyhq.com/lancedb)

## Other roles at LanceDB

- [Senior Product Manager](https://feeny.ai/job/senior-product-manager-lancedb-united-states-canada-kddh90xzsr7s) — United States / Canada
- [Controller](https://feeny.ai/job/controller-lancedb-united-states-6rafknnjaa3f) — United States
- [Founding Revenue Marketer](https://feeny.ai/job/founding-revenue-marketer-lancedb-united-states-canada-mcb1thtdv07v) — United States / Canada
- [Founding Recruiter](https://feeny.ai/job/founding-recruiter-lancedb-united-states-canada-pys9nmbxc9r6) — United States / Canada
- [Senior Customer Success Engineer](https://feeny.ai/job/senior-customer-success-engineer-lancedb-united-states-canada-2vht5p4k14na) — United States / Canada
- [Senior Solutions Engineer](https://feeny.ai/job/senior-solutions-engineer-lancedb-united-states-canada-ssezdjgy9qsx) — United States / Canada
- [Partner Solutions Architect](https://feeny.ai/job/partner-solutions-architect-lancedb-united-states-canada-yzqwrh2zb7kk) — United States / Canada
- [Senior UX/AX Engineer](https://feeny.ai/job/senior-ux-ax-engineer-lancedb-united-states-canada-0hzxgz55kxjj) — United States / Canada
- [Senior Support Engineer](https://feeny.ai/job/senior-support-engineer-lancedb-united-states-3gfjktwjnmv5) — United States
- [Senior Solutions Engineer](https://feeny.ai/job/senior-solutions-engineer-lancedb-san-francisco-0btn7w423bah) — San Francisco, CA