U
Founding Engineer
Accepting applicationsUMATR · San Francisco Bay Area
Full-Time Mid_senior AIaiatementor
Posted
1d ago
Category
Test
Experience
Mid_senior
Country
United States
Founding Engineer — AI Infrastructure / OSS / Systems
Stack: Rust, Distributed Systems, Graph Infrastructure, Lakehouse Architecture, AI Agents
We’re building core infrastructure for autonomous AI systems.
At the center is a lakehouse-native graph database designed for AI agents, bringing git-style workflows (branching, commits, merges) to typed graph data. The goal is to create a durable, versioned, queryable memory layer purpose-built for agentic systems.
The engine is open source (MIT licensed), already seeing early adoption, and backed by a broader vision around multi-agent orchestration and forward-deployed AI infrastructure.
We’re funded, building in public, and hiring a Founding Engineer to shape both the architecture and engineering culture from day one.
The Role
This is not a traditional VP Engineering hire.
We’re looking for a deeply technical builder who can:
Write production Rust code
Own technical direction across the platform
Hire and mentor the first engineers
Work directly with customers and integrations
Help shape the OSS narrative and developer ecosystem around the product
The profile is closer to an early engineering leader at Linear, Cursor, Vercel, or LanceDB than a career manager or pure OSS maintainer.
What We Value
The strongest candidates usually demonstrate:
High agency through OSS, writing, side projects, or communities
Strong first-principles judgment
Resilience and long-term consistency
The ability to attract exceptional engineers
A credible public technical voice
We care about engineers who have actually built foundational systems — query engines, storage layers, graph infrastructure, distributed systems, retrieval runtimes, or versioned-data systems — not simply worked adjacent to them.
Rust experience is strongly preferred.
We also value people already thinking deeply about:
AI memory architectures
Knowledge graphs for LLMs
Git-for-data systems
Lakehouse infrastructure
OSS business models and governance
Founding Engineer DNA
This is fundamentally a 0→1 environment.
We want someone who:
Has taken products from blank repo to real adoption
Can operate across infrastructure, APIs, SDKs, and product UX
Is comfortable working directly inside customer environments
Combines systems depth with product instinct
If building foundational infrastructure for AI agents from first principles sounds exciting, we’d love to speak.
Show more Show less
Stack: Rust, Distributed Systems, Graph Infrastructure, Lakehouse Architecture, AI Agents
We’re building core infrastructure for autonomous AI systems.
At the center is a lakehouse-native graph database designed for AI agents, bringing git-style workflows (branching, commits, merges) to typed graph data. The goal is to create a durable, versioned, queryable memory layer purpose-built for agentic systems.
The engine is open source (MIT licensed), already seeing early adoption, and backed by a broader vision around multi-agent orchestration and forward-deployed AI infrastructure.
We’re funded, building in public, and hiring a Founding Engineer to shape both the architecture and engineering culture from day one.
The Role
This is not a traditional VP Engineering hire.
We’re looking for a deeply technical builder who can:
Write production Rust code
Own technical direction across the platform
Hire and mentor the first engineers
Work directly with customers and integrations
Help shape the OSS narrative and developer ecosystem around the product
The profile is closer to an early engineering leader at Linear, Cursor, Vercel, or LanceDB than a career manager or pure OSS maintainer.
What We Value
The strongest candidates usually demonstrate:
High agency through OSS, writing, side projects, or communities
Strong first-principles judgment
Resilience and long-term consistency
The ability to attract exceptional engineers
A credible public technical voice
We care about engineers who have actually built foundational systems — query engines, storage layers, graph infrastructure, distributed systems, retrieval runtimes, or versioned-data systems — not simply worked adjacent to them.
Rust experience is strongly preferred.
We also value people already thinking deeply about:
AI memory architectures
Knowledge graphs for LLMs
Git-for-data systems
Lakehouse infrastructure
OSS business models and governance
Founding Engineer DNA
This is fundamentally a 0→1 environment.
We want someone who:
Has taken products from blank repo to real adoption
Can operate across infrastructure, APIs, SDKs, and product UX
Is comfortable working directly inside customer environments
Combines systems depth with product instinct
If building foundational infrastructure for AI agents from first principles sounds exciting, we’d love to speak.
Show more Show less