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Senior Product Manager

LanceDB

$180,000 – $250,000 a year

Location
United States, Canada · Remote
Benefits
$180,000 – $250,000 a year
Format
Not stated
Eligibility
Not stated
Origin
Ashby
Verification
Details from a source we could read
Lifecycle
Open
Deadline
No deadline provided
Still open?

Evidence · 1 source

The posting

From LanceDB’s Ashby board, as written by the employer.

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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