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LanceDB

Senior Product Manager

LanceDB Canada · $180K–$250K/yr

Information Services · 11-50 employees

Sep 02
Remote product-manager Principal (10+ yrs) Full-time United States
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About the role

The Senior Product Manager will shape the product roadmap in collaboration with engineering leadership and drive cross-team decisions. They will also engage directly with users to translate insights into product improvements for the LanceDB platform.

What they look for

Product management Roadmap strategy Data platforms Vector search RAG AI systems Machine learning Cross-functional leadership User research Technical communication Open source Data analysis Software engineering Infrastructure Stakeholder management

Requirements

Candidates must have 10+ years of experience as a software engineer or in a highly technical product role. Proven experience with large-scale data platforms, AI/ML systems, and driving ambiguous projects is required.

Benefits

Medical insurance Dental insurance Vision insurance Life insurance 401(k) retirement plan Flexible spending accounts Health savings accounts Commuter benefits Paid time off Paid parental leave Equity grants

Full 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

  • 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

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