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Salary
$180k – $250k per year
Location
In office
Seniority
Senior · 10+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
The multimodal lakehouse for AI, accelerating large-scale data curation and feature engineering so teams can build better models faster.

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 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

  • 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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