What the role involves
We're three Harvard sophomores in Y Combinator's S26 batch, building AI agents that turn everything a company produces (email, Slack, docs, CRM) into a living map of how the business actually works. Pilot customers are live. We're hiring two people for the summer — you'd be among the first five engineers on the product.
What you'll do
Build multi-agent ingestion pipelines: email/Slack/CRM/accounting → knowledge graph
Do entity resolution and systems-mapping inference over messy real-world enterprise data
Orchestrate agents on Claude, with an effectively unlimited token budget
Own systems end to end — code you write Monday is in front of a customer Friday
What we're looking for
Strong CS fundamentals — shown through coursework, competitions (USACO/ICPC/CTF), research, or shipped projects
Systems-level thinking: you reason in dataflows and failure modes, not just features
High agency — you've built and shipped things nobody assigned you
Solid in Python and TypeScript/React; Rust or other systems experience is a plus
Hands-on experience with LLM agents (orchestration, tool use, evals) is a big plus
On-site in SF, full-time for the summer, comfortable with very long hours (996)
What you get
Paid monthly + a private room in our SF house + food covered (exact comp on the first call)
The full YC summer: batch events, the speaker series (past batches: Sam Altman, the Airbnb and Stripe founders), Demo Day in September
A founding-engineer conversion path, equity terms in writing at offer stage
What they ask for
About Cerenovus
Cerenovus is a company brain. We aggregate every kind of file a company produces — documents, PDFs, emails, Slack messages, spreadsheets, meeting notes — and convert them into a single markdown knowledge graph with native AI-agent integration. A company's information becomes uniformly readable both by humans and by the AI agents working inside the graph. On top of that foundation, Cerenovus maps the company as a system, drawing connections between the people, processes, and tools that make up real workflows. From that systems map, it infers where operations are inefficient and how to improve them. In practice, this tool will help executives make better decisions. Whenever a leader has to act on a question — how to restructure a team, whether to keep a vendor, or where handoffs between teams are breaking down — Cerenovus will give them an evidence-backed answer in minutes rather than weeks. Today, that work is done by consultants, by internal analysts, or by the executive asking around informally. Each of those approaches is slow, partial, and goes stale the moment it is delivered. Cerenovus produces the same answers faster, at a fraction of the cost, and keeps them live as the company evolves.
Full Cerenovus profile