Job Overview
Job description
- Salary:
- USD 180,000 - 250,000 per year
- Location:
- Americas timezones, United States
- Work arrangement:
- On-site
Senior Product Manager at LanceDB in Americas timezones, United States.
Role Summary
- 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
Responsibilities
- 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
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 (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
Please apply for this role only if you meet all of the above qualifications, and agree with the day-to-day responsibilities.
About LanceDB
LanceDB is a developer-friendly, open-source data platform for multimodal AI. From hyper-scalable vector search to advanced retrieval for RAG, from streaming training data to interactive exploration of large-scale datasets, LanceDB is the best foundation for your AI workloads.
About the Company
ABOUT LANCEDB
LanceDB is a high-performance, open-source, cloud-native data platform built for AI-native and multimodal workflows. From vector search at multi-billion-scale to real-time retrieval, feature engineering, and analytics across large-scale datasets, LanceDB powers cutting-edge applications of machine learning and data infrastructure.
We’re building the next generation of intelligent, data-driven systems — and we’re looking for an experienced, customer-focused engineer who can help our enterprise users deploy, operate, and scale LanceDB successfully.
You’ll join a world-class team of open-source builders working on cutting-edge AI infrastructure. You’ll collaborate on systems that power next-generation AI workloads while shaping how LanceDB operates and scales production environments.
Salary: $180K – $250K • Offers Equity
- Role:
- Senior Product Manager
- Job Type:
- FullTime
Company profile
LanceDB
lancedb.comLanceDB is an open-source, cloud-native data platform built for AI-native and multimodal workflows, described as the multimodal lakehouse for AI. It accelerates large-scale data curation and feature engineering so teams can build better models faster, supporting vector search at multi-billion scale, real-time retrieval and analytics across large datasets. Its team of open-source builders includes co-authors of pandas and contributors to HDFS, Arrow, Iceberg and HBase.