Startups · AI

Senior Product Manager

LanceDB · United States | Canada · On-site

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About LanceDB

The multimodal lakehouse for AI, accelerating large-scale data curation and feature engineering so teams can build better models faster. Backed by Y Combinator and CRV.

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 they're looking for

  • 10+ years as a software engineer or in a highly technical product role
  • 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
More about this role

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.

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

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

10+ years as a software engineer or in a highly technical product role

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...

Read the full posting on LanceDB's site ↗

Engineering

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