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lancedb / Senior Product Manager

id
role_0vPPuHJWJZA
status
backlog
fit score
76
reasoning
Excellent fit: 12+ years technical product experience, shipped ML/AI platforms (BRAIN, aeval, RL workbench), deep data infrastructure knowledge, and proven ability to work with AI researcher personas. Strong technical credibility and user-centric approach align well with LanceDB's needs.
source
ashby
url
https://jobs.ashbyhq.com/lancedb/7fe25cf2-3bb8-4d05-8715-b22d72c22bd7
discovered
2026-06-01T23:27

Job description

Role - Our first product-focused engineer - Takes high-level direction (e.g., "analyze X") and drives to results - Success looks like a LanceDB platform that is even more tightly focused on our ICP, and providing clarity on what engineering builds Day-to-day - 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 Qualifications - 5–8+ 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 Why - Help define and execute product at LanceDB - Work directly with teams building real AI systems in production - Sit at the center of infra + product—few roles like this exist - High ownership, zero PM theater - Early seat in shaping a category (AI-native data layer) - Clear path to owning larger product scope over time

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