Founding Engineer

Three months later

Design the roadmap with me: ~50% shipping product across the stack, ~25% building and running agent infrastructure, ~25% talking to teachers, students, and districts — and turning what you hear into the roadmap.

Things we badly want to build

• The data flywheel. Almost nobody in education closes the loop between that telemetry and the instruction itself. We can — for every answer, retry, AI-tutor conversation, and any other interaction — in days, not textbook-revision cycles. Design that loop.
• Agent orchestration as a first-class engineering problem. Better harnesses, better evals, better verification — so that a dozen concurrent agents produce work you'd trust in front of a classroom.
• Whatever schools need next. Today it's tools for students and teachers. The surface area in a school district is enormous, and you'll help decide where we go.

We're looking for someone who

• Has 5+ years shipping products that real end users touch daily, and has opinions about what makes them good
• Is high-agency: can take ambiguous feedback and turn it into shipped product without waiting for a spec
• Is expert-level with AI coding tools and uses them to move dramatically faster — without outsourcing judgment to them
• Gets excited, not exhausted, by the idea of managing a dozen concurrent agents
• Wants tight feedback loops with real users (some of whom are eleven)
• Has high schlep tolerance — roster CSV imports, school-device performance quirks, and school-specific customization are part of the job and part of why we win
• Cares about measurable learning outcomes, not just engagement metrics

Preferred experience

• TypeScript, React, Postgres (we're React 18, Vite, Tailwind, shadcn/ui, Supabase, TanStack Query, on Vercel)
• LLMs in production: agents, evals, tool use, context management
• Building codebases and pipelines designed to be worked on by agents
• Event telemetry, analytics, or experimentation systems
• Edtech background genuinely not required

The backstory

I started my career as a 7th grade English teacher, where I saw how hard teaching 30 different kids at 30 different levels of understanding really is. After building the driver acquisition engine at Lyft, pursuing various entrepreneurial ventures while getting my MBA at Stanford, and building AI agents and workflows at McKinsey from the start of the boom, I now believe education is where AI can have the largest positive impact for society.

Compensation

- $175K - $200K

- 1.5 - 2.0% equity

Founding-engineer package — meaningful ownership from day one.

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.