Product Engineer

In education, we have always traded off scale and quality. In a 30-student math class, half of kids are ready to accelerate while half are still working on their foundational skills, but teachers cannot be in 30 places at once, giving each student one-on-one support.

Until now. Imagine 30 teachers in every classroom—that's how Goblins feels. Students draw math on any device, and our AI figures out the "why" behind their confusion, giving instant feedback and building conceptual foundations.

We're backed by the Gates Foundation, and we're on track for 300,000 active students next year. We're hiring a product engineer to help us get there, and to make sure everything we've built holds up at that scale.

What you might work on:

• Scale our real-time teacher avatars to 300k students. Our Goblin avatars stream live to students in production today. Make them run smoothly at scale while cutting latency and cost, and think hard about reliability from every angle: Chromebook CPU, low-bandwidth classrooms, and the load spike when a whole district logs on at 9am. We really don't want to crash the school's network.

• Make model experimentation something an agent can run end to end. We're always testing new models against each other in real classrooms. Build the machinery to pin a model for a cohort, roll it out gradually, watch the metrics, and roll back fast, all clean enough that we can hand the whole experiment loop off to an agent and let it run.

• Keep every classroom in real-time sync at 300k concurrent students. Our real-time engine (think Linear) keeps every student's whiteboard and every teacher's dashboard instantly in sync. Make that hold up when thousands of classrooms are live at once, without melting our servers or the school's wifi.

• Give teachers instant, reliable insight across thousands of simultaneous classrooms. Teachers need to see who's stuck and what to assign next in real time, even at peak load. Build the systems that keep those live reads fast and trustworthy.

• Create shareable "aha moment" artifacts from real student sessions. Automatically find the best moments, strip out anything sensitive, and produce replays that teachers, parents, and districts want to watch and share, built to run cheaply over hundreds of thousands of sessions.

How we build: we're all in on agentic development. Our remote dev environments make it normal to have five or more agents running per person at any given moment, and we design our systems and workflows so work can be handed off to them cleanly. We'd rather you orchestrate agents than grind code out by hand.

Under the hood we're an Effect-TS shop top to bottom, on Postgres and Bun, with a real-time sync engine in the same spirit as Linear's.

What we're looking for:

• You've built and scaled production software before, and can point to something you owned that real people relied on under real load.

• Strong full-stack range. You own the UI and the backend, and don't need a spec to know what good looks like.

• High ownership. You see the gap and close it without being asked.

• You think about cost and reliability instinctively, before things break in front of a classroom.

• You care about craft, and about the kids and teachers on the other end.

You'll join a small, tight-knit team in our Williamsburg, Brooklyn office: Sawyer (CEO, former Head of Design at X1, acquired by Robinhood, and a former math teacher), Alp (CTO, previously at Stripe and Amazon), and a few exceptional engineers who care deeply about craft. We move fast, care deeply about craft, and obsess over delighting users. As an early engineer here, you'll have full ownership of critical projects and ship production systems that thousands of students and teachers rely on within your first few weeks.

If this sounds fun, and you want to help inspire a billion kids to love to learn, join us :)