@ Plastic Labs
(NYC, Full-Time, In-Person)
Honcho (https://honcho.dev) is ripping. 50x developer growth in three months. 40,000 prosumers and developers. 600+ startups applied to our startup program in eight weeks.
We're a product-coupled neolab solving personal identity for the agentic world. The market currently calls what we do memory, but the vision for Honcho is much more ambitious. We build better models of you than you have of yourself. The goal is true 1:1 individual alignment for every human extending their cognition and agency with artificial intelligence.
That vision has an infrastructure bill attached. A model of every individual user, updated continuously, queryable in the loop of someone else's agent, is a genuinely hard systems problem — stateful, write-heavy, and unforgiving at scale. Growth like ours makes every architectural decision load-bearing, and we're making those decisions now.
The repo has its own gravity, too. Honcho is open source, and we maintain integrations with Claude Code, Hermes, OpenClaw, Codex, and more arriving faster than we can staff them.
You'll work directly with the CTO to architect and maintain Honcho: continual learning infrastructure for AI memory and identity modeling.
Own the core. The systems that store, update, and serve per-user models are yours — from high-level architecture down to the implementation.
Design the surface developers live on. Honcho is a developer product. Every API decision is felt immediately by 40,000 people building against it. You'll be judged on the interfaces as much as the internals.
Own where Honcho meets the ecosystem. Claude Code, Hermes, OpenClaw, and whatever ships next month. You'll keep Honcho current across all of them without letting the integration layer fragment, and you'll do it in public: reviewing contributions, arguing architecture in the open.
Make the product measurable. Working alongside research, you'll build the instrumentation and experiment infrastructure that lets us ship a variant of the memory pipeline and know whether it was better.
Product and backend depth is the center of this role, but we need someone versatile enough to fill gaps wherever they open.
A plus: cryptography, machine learning, or identity systems. Distributed consensus protocols and eventual consistency. Interests in the cognitive sciences — linguistics, neuroscience, philosophy, psychology. Up-to-date in the open-source AI community.