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
Takes high-level direction (e.g., “analyze X”) and drives to results across the company
Success looks like a LanceDB platform that is even more tightly focused on our ICP, and providing clarity on what engineering builds
What You'll Do
Shape roadmap with CTO + eng leadership
Deep dives into competitors, users, and adjacent tech
Talk to users constantly; turn insight into product changes
Drive cross-team decisions on priorities (eng, field, support)
Work with engineering directly as a technically-respected peer
What We're Looking For
10+ years in a highly technical role
5+ years of product work
Shipped and iterated on products end-to-end
Experience working on large-scale data platforms (e.g., databases, data infra, ML/AI systems)
Understanding of AI researcher persona - what success looks like for them, what are their pain points, what increases their happiness
Regularly engaged with users (interviews, support, design partners, or community)
Demonstrated ownership of ambiguous projects with minimal guidance
Experience influencing or driving roadmap / prioritization decisions
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
Skills Required
- 10+ years as a software engineer or in a highly technical product role
- Experience shipping and iterating on products end-to-end
- Experience working on large-scale data platforms, such as databases, data infrastructure, or ML/AI systems
- Understanding of the AI researcher persona, including their goals, pain points, and success factors
- Regular engagement with users through interviews, support, design partners, or communities
- Demonstrated ownership of ambiguous projects with minimal guidance
- Experience influencing or driving roadmap and prioritization decisions
- Strong written and verbal communication skills to drive cross-team alignment
- Comfort using data, metrics, experiments, and usage information to guide decisions
- Experience contributing to or working with open-source communities
What We Do
LanceDB is a developer-friendly, open source database for multimodal AI. From hyper scalable vector search to advanced retrieval for RAG, from streaming training data to interactive exploration of large scale AI datasets, LanceDB is the best foundation for your AI application.
