Member of Technical Staff

We’re an AI platform out to redefine knowledge work. The team builds agents that continuously learn to capture companies' proprietary intelligence (procedures, data, objectives), provides the work surface for those agents to perform complex, long-horizon tasks alongside humans within a native office suite, and deploys them in secure environments for Fortune 500 companies. About the Role As a Member of Technical Staff, you will be part of the team responsible for the work platform. You will think end-to-end about what it means to build the most potent enterprise AI agents and to design the best interface for deploying them, with broad autonomy to work wherever you believe the highest leverage lies across the entire stack. The MTS works vigorously on the underlying infrastructure, core features, agent configurations, and user experience. You may also work closely with enterprise customers in a forward‑deployed capacity. You own entire features, your code ships to real customers fast, and your product and technical decisions shape the course of the company. What You’ll Own Ship features end-to-end across the full-stack TypeScript/React application, from design through implementation to production Make high‑judgment calls about what to build next based on customer needs, technical debt, and product opportunity Work directly with Fortune 100 customers to understand their workflows and translate that into product (forward‑deployed track) Build the underlying infrastructure (AWS, Terraform, Kubernetes, security) that scales the platform to enterprise deployment (platform track) Contribute across the stack wherever you see the most leverage Shape engineering culture and practices at an early‑stage company where decisions have an outsized impact Requirements Must‑Have Has shipped LLM and agent systems past RAG: built real agent workflows in production, not just RAG demos. Pure RAG‑only candidates do not clear. Strong full‑stack engineering skills with production TypeScript and React experience (FDE track) OR deep infrastructure background with AWS, Terraform, Kubernetes (Platform track) Track record of shipping product: care is on what has been built, not years of experience High agency: does not wait to be told what to work on Comfort with ambiguity and moving fast in a small team Work experience of 1-15 years Nice‑to‑Have AI/ML systems, LLM integrations, or agent framework production work Enterprise customer experience or forward‑deployed engineering background Bachelor’s from an Ivy+, Berkeley, Stanford, Georgia Tech, or UT Last 2 YC batch founder background (FDE track) Visa Sponsorship

H-1B, O-1, OPT

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