Posted 2 months ago
Senior Product Manager
@ LanceDB
Canada
Overview
LanceDB is hiring a Senior Product Manager for its AI-native Multimodal Lakehouse platform, used by customers such as Runway, Midjourney and Netflix. The role shapes the roadmap with the CTO and engineering leadership, talks to users constantly, and turns insight into product changes.
Responsibilities:
- Shape roadmap with CTO and engineering leadership
- Conduct deep dives into competitors, users and adjacent technology
- Talk to users constantly and turn insight into product changes
- Drive cross-team decisions on priorities
Requirements summary:
- 10+ years in a highly technical role
- 5+ years of product work
- Shipped and iterated on products end-to-end
- Experience with large-scale data platforms
- Understanding of the AI researcher persona
- Experience with open source communities
Tools & skills
Source and dates
Employer career site / ATS feed · ashby
- Employer posting date
- 2026-09-01
- First seen by our source
- 2026-10-08
- Source record updated
- 2026-10-09
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Project management |
| Experience | 10+ years |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
LanceDB
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Developer-friendly, open source database for multi-modal AI
Full company description
LanceDB is a developer-friendly, open source database for multimodal AI. From hyper scalable vector search to advanced retrieval for RAG, from streaming training data to interactive exploration of large scale AI datasets, LanceDB is the best foundation for your AI application.
- LinkedIn followers
- 11,585
- People associated on LinkedIn
- 49
- Reported office locations
- San Francisco, California, US
- Business categories
- Information Services
- Artificial Intelligence (AI)
- Machine Learning
- Other recorded names
- LanceDB
- Profile identifies a recruitment agency
- No
- Reported total investment
- 41,000,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
LanceDB is a developer-friendly, open source database for multimodal AI. From hyper scalable vector search to advanced retrieval for RAG, from streaming training data to interactive exploration of large scale AI datasets, LanceDB is the best foundation for your AI application.
| Field | Value |
|---|---|
| Industry | Information Services |
| Company size | 11-50 employees |
| Headquarters | San Francisco, California |
| Organization type | Privately Held |
| Year founded | 2022 |
| Open jobs on Jobsy | 6 |
| View page |
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
Journal
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