Posted 5h ago

Product Manager

@ LanceDB
San Francisco, California, United States
$180k-$250k/yrRemoteFull Time
Responsibilities:Shape roadmap, Analyze users, Drive priorities
Requirements Summary:3–8+ years software engineering or highly technical product experience; shipped products end-to-end; experience with large-scale data platforms; data-driven; OSS involvement; strong communication; ownership of ambiguous projects.
Technical Tools Mentioned:SQL, Python, Open Source
Save
Mark Applied
Hide Job
Report & Hide
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

  • 3–8+ 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