Product Engineer, New Products
Y Combinator5 months ago
Base Salary
$185k - $485k/yr
Responsibilities
- Design, build, and ship new full-stack systems and developer tools from 0 to 1.
- Build AI-native software involving agent orchestration, semantic search, embeddings, knowledge graphs, and LLM workflows.
- Own the complete developer and user experience, including product design, usability, installation, and time-to-first-value.
- Ship products openly or commercially as appropriate and engage with the user and developer community.
- Make pragmatic technical and product tradeoffs using an AI-enabled development stack.
Requirements
- Experience shipping full-stack or systems software end-to-end.
- Strong system design, independent decision-making, product sense, and user-experience design ability.
- Ability to communicate clearly and work directly with non-technical stakeholders.
- High judgment, integrity, comfort with ambiguity, and a collaborative, low-ego working style.
- Experience building AI-enabled products, agents, or prototypes is valuable.
- Open-source maintainership, community engagement, LLMs, prompt engineering, agent-based systems, retrieval, search, or knowledge-graph experience are nice to have.
- TypeScript, Postgres/pgvector, Rails, and React experience is nice to have.
Benefits
- Medical, dental, and vision insurance.
- 401(k) with a 4% match.
- Parental leave and flexible PTO.
- Location is the San Francisco Bay Area, or candidates must be willing to relocate.
- Y Combinator is willing to sponsor certain employment visas in accordance with company policy.
- Full access to the YC program and exposure to YC companies and founders.
Tech Stack
Categories
AI ApplicationsProduct Engineering
About Y Combinator
Y Combinator is a startup accelerator and seed investor that funds and advises early-stage companies in exchange for equity, running biannual batches and Demo Days. Founded in 2005 and based in Mountain View, California, it has backed firms such as Airbnb, Stripe, and Dropbox. YC also builds developer-facing products for the AI-native era, including open-source tools like gstack and gbrain and proprietary offerings such as Paxel.