You will: - Get a clear view into engineering, product, go-to-market, and the iterative loop that connects all 3 - Learn the Vertical AI playbook - how to embed into an industry, learn the domain, and build LLM-driven workflows to automate it. - How to generate demand with modern GTM techniques across B2B and B2C What You'll Build - Voice and SMS agents that automate the 24/7 shift lifecycle (confirmations, clock-ins, notes, last-minute coverage) - LLM orchestration across prompt engineering, tool use, context management, and evals that keep agents reliable as we scale - Internal ops tooling so our team can monitor agent performance, handle edge cases, and onboard new customers fast - Reliability and observability improvements across our voice and messaging infrastructure - Full-stack features from data model to API to UI, shipped to real customers within days Your First 90 Days - Month 1: Ship something real. You'll pair-program with the team immediately and ship features within your first week. By the end of month one, you'll own a complete feature from design to production. - Month 2: Go deep on the orchestration layer. You'll improve reliability and observability across our voice and messaging stack, and contribute to how we evaluate agent quality at scale. - Month 3: Take ownership. You'll scope and lead a feature area yourself, such as a new EHR integration, an improvement to the talent agent product, or better tooling for our ops team. Our Tech - React / TypeScript / Vite on the frontend - FastAPI / Python on the backend - Postgres (RDS) - Twilio for voice and SMS - LLMs throughout - AWS - Linear, Notion You're a Good Fit If - You're a strong generalist who can work across the stack - You stay on the cutting edge of AI dev workflows and love using coding agents to automate engineering, observability, and the entire development workflow. - You ship fast and iterate based on real usage - You're comfortable with ambiguity and figuring things out as you go - You've worked with LLMs in production (or are eager to) - You want to be early at a company that's growing very quickly What We Offer - Interesting, high-leverage work at a company growing very fast - $180k+ base salary with above-market equity - Small team where your work ships to customers immediately - In-person in NYC - we work in the same room - Multiple second-time founders to learn from - Justin (CEO) sold Bayes (YC S19) to Airtable. Dave built and sold Kamana, an app for travel nurses.