
Context augmentation for agents
We are hiring a founding DevRel Engineer for Nozomio, the context augmentation layer for AI agents. You will write content, documentation, and you will be the face of Nozomio for developers. You will define how AI engineers think about context, MCP servers, and agentic coding. You will own DevRel end to end and over time build the function around you.
Nozomio is applied product and research lab. Our flagship product Nia is a context augmentation layer for AI agents, primarily coding agents. It indexes entire codebases, documentation, and external sources so agents always have the right context instead of guessing. Nia plugs in as an MCP server into tools like Cursor, Cline, and other coding agents, giving them a persistent, searchable, up-to-date knowledge base.
Today, agents are very good at generating code but still bad at knowing which repo, package, or doc to look at. Context, not generation, is the bottleneck. Nia exists to solve that bottleneck so agents reach near superhuman code intelligence.
Nozomio is backed by Y Combinator and recently raised a 6.2M seed round from CRV, BoxGroup, LocalGlobe, YC, 20VC, and angels such as Paul Graham, Thomas Wolf, Gustav Söderström, and Gokul Rajaram.
We are building a very small, very strong team in San Francisco. The goal is to hire a small number of exceptional people before IPO, not scale to thousands.
You will be the first person at Nozomio dedicated to developer relations. You will blend engineering, storytelling, and product sense to make Nia the default way agents get context.
You will:
You will work directly with Arlan in person in San Francisco. This is not a passive content role. You will be close to product decisions, customer calls, and roadmap.
Must:
Nice to have:
This is not a 9-5. I'm here to build generational software, and that requires dedication, grit, and a willingness to go all-in.
Some people whose DevRel and content work we like and often reference:
Nia is building context-augmentation infrastructure for AI agents. It gives agents superhuman knowledge by indexing entire codebases, documentation, and external sources, making them 27% better at solving real problems.
Nia will win for two reasons:
Agents need context they can't access. Nia provides that. I ship fast, iterate faster, and build products developers actually want.