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Product Manager

This is a remote product manager role focused on large-scale data platforms and AI systems. The PM will own the LanceDB platform, defining the roadmap and driving product changes for AI researchers. This role requires deep technical ownership, working as a peer with engineering, and involves a salary of $180K–$250K per year.

Seniority

Mid

Product Area

data

Work Style

Remote

Salary

$180k–250k/yr

Type

Full_time

Role type

Skills

Required

  • large-scale data platforms
  • databases
  • data infra
  • ML/AI systems
  • AI researcher persona
  • metrics
  • experiments
  • open source communities

Benefits

Equity
Full job description
Location Type: Remote Location: HQ Employment Type: FullTime Department: Engineering Compensation: $180K – $250K • Offers Equity 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

About Lancedb

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LanceDB is an open-source, AI-native multimodal lakehouse that consolidates raw data, embeddings, and features into a single table for curation, feature engineering, retrieval, and large-scale model training. It's used by AI labs and infrastructure teams at Midjourney, Runway, Character.AI, Harvey, World Labs, ByteDance, and Databricks to avoid stitching together separate feature stores, search indexes, and Spark jobs. Founded in 2021 and based in San Francisco, the company is YC-backed and raised a $30M Series A in mid-2025 led by Theory Ventures. Open-source downloads have crossed 20 million.

AI & Machine LearningDeveloper Tools & Infrastructure

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