About this role

We're a small team within Blackboard building a new AI-native product
Our engineers are architects, reviewers, and product thinkers
Everyone on the engineering team owns features end-to-end
You will own product surfaces and student-facing product interfaces
Deliver real-time features that surface AI intelligence and maintain responsive UI
Build backend services connecting the user interface to the intelligence and data layers
Ensure quality and velocity through end-to-end feature ownership from spec to production

You work natively with AI coding tools (Cursor, Claude Code, or equivalent) — not as a curiosity, but as your actual development workflow
You've shipped products to real users — full-stack, with real accountability for whether they work
You're comfortable across the stack: React/Next.js/TypeScript on the frontend, Node.js or Python on the backend, PostgreSQL for data
You've integrated LLM APIs or built AI-powered features in production (streaming, structured outputs, agent patterns)
Strong product instincts: you notice when something feels off in the user experience and you fix it, even if it wasn't in your ticket
You can move fast, make good decisions under ambiguity, and leave the codebase better than you found it
Fluency in written and spoken English.

AI Product Engineer

Key skills