Product Manager

Lancedb

HQ, HQ

On-siteCareer-pivot friendly

Who this role is best for

Aimed at mid-level technical product managers comfortable with ambiguity and deep user engagement in AI/data infrastructure.

Best fit for

Technical product leaders who can influence engineering roadmaps without formal authority.
— “Work with engineering directly as a technically-respected peer”
Data platform veterans seeking high ownership in an early-stage AI infrastructure product.
— “Experience working on large-scale data platforms”
User-centric builders who turn raw feedback into prioritized technical changes.
— “Talk to users constantly; turn insight into product changes”

Things to consider

Must independently drive projects with minimal guidance in undefined problem spaces.
— “Demonstrated ownership of ambiguous projects with minimal guidance”
Requires direct engagement with AI researchers' workflows and pain points.
— “Understanding of AI researcher persona”

How to stand out

Showcase open source contributions that demonstrate technical credibility with engineers.
— “Experience contributing to or working with open source communities”
Quantify how your product decisions improved metrics in past data platforms.
— “Comfortable using data (metrics, experiments, usage) to guide decisions”
Highlight cross-functional alignment cases where you resolved priority conflicts.
— “Drive cross-team decisions on priorities (eng, field, support)”

Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Mid

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

shaped roadmap with CTO and engineering leadership
driven cross-team decisions on priorities

Typical background

5-8+ years as a software engineer or in a highly technical product role

Skills & requirements

Required

Product ManagementSoftware EngineeringLarge-scale Data PlatformsAI Researcher Persona UnderstandingUser Engagement

Preferred

Open Source Contribution

About the role

Original posting from Lancedb via Ashby

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

Source: Lancedb careers (Ashby)