Senior Product Manager

🕒 May 6

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

💵 $180k - $250k / year

⏰ Full Time

🟠 Senior

✅ Product Manager

👻 Ghost score 49%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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LanceDB

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

LanceDB is the first open-source AI-Native Multimodal Lakehouse designed to handle complex AI data needs on a large scale. It offers a unified solution for multimodal data, integrating storage, search, feature engineering, and analytics into a single platform. This enables users to efficiently manage diverse data types and workflows, facilitating rapid iteration and deployment of AI models. With advanced capabilities such as hybrid search and optimized training pipelines, LanceDB is built for enterprises seeking to leverage their data effectively in AI applications.

📋 Description

• Take high-level direction and drive results across the company • Shape the roadmap with the CTO and engineering leadership • Conduct deep dives into competitors, users, and adjacent technology • Talk to users regularly and turn insights into product changes • Drive cross-team decisions on priorities across engineering, field, and support • Work directly with engineering as a technically respected peer • Help define and execute product at LanceDB • Work with teams building real AI systems in production • Clarify what engineering builds and help focus the LanceDB platform on its ideal customer profile • Shape the AI-native data layer category and take on larger product scope over time

🎯 Requirements

• 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, such as databases, data infrastructure, or ML/AI systems • Understanding of the AI researcher persona, including their goals, pain points, and satisfaction drivers • Regular engagement with users through interviews, support, design partners, or community • Demonstrated ownership of ambiguous projects with minimal guidance • Experience influencing or driving roadmap and prioritization decisions • Strong written and verbal communication skills to drive alignment across teams • Comfortable using data, metrics, experiments, and usage information to guide decisions • Experience contributing to or working with open source communities • Legally authorized to work in the United States for any employer • Located in the United States or Canada

🏖️ Benefits

• Equity grants • Medical, dental, vision, and life insurance • 401(k) retirement plan • Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA) • Commuter benefits • Generous paid time off • Paid parental leave program for birthing, non-birthing, adoptive, and foster parents