Job Description
About the role Y Combinator is building a new generation of products for the AI-native era — and we're hiring product engineers to build them. Some ship in the open to hundreds of thousands of developers ( gstack , gbrain — already north of 130,000 GitHub stars between them). Some are proprietary products in their own right ( Paxel ). All of them start from the same belief: a single builder with the right tooling now ships like a team of twenty, and we intend to build the tools — and the platforms — that prove it. This is a rare seat. You won't be maintaining someone else's roadmap. You'll be taking new products from zero to one, owning them end-to-end, and putting them in front of real users fast. What you'll do Take new products from 0→1 — design, build, and ship full-stack systems and developer tools end-to-end Build AI-native software: agent orchestration, semantic search, embeddings, knowledge graphs, LLM workflows Own developer and user experience completely — 30-second installs, time-to-first-value measured in minutes, interfaces people actually want to use Ship some work in the open and engage a real community; ship other work as commercial product. Pick the right call for each Use your own fully AI-enabled dev stack and make pragmatic tradeoffs in a fast-moving environment Who this is for This role is ideal if you: Are a strong full-stack, product-minded engineer who owns products, not just code — no PMs, no designers, you make the product and UX calls Live in an AI-native dev stack and have built AI-enabled products, agents, or prototypes Care about developer experience and the craft of a tool people love Like turning hard problems into clean, usable systems and shipping fast Are low-ego, comfortable with ambiguity, and get along with everyone in our ~100-person company Backgrounds that tend to succeed Former founders and early-stage startup engineers Prolific open-source contributors or maintainers Product engineers who've built and shipped complete produ
