Senior Product Manager
LanceDB · United States | Canada
Extracted from the posting
Owns the LanceDB platform roadmap with the CTO and engineering leadership, based on competitor analysis, user interviews, and adjacent technology research. Sets cross-team priorities across engineering, field, and support, and works with engineering as a technical peer.
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
Compensation: $180K - $250K
