About Us
We’re building the future of writing development. We believe that writing is thinking, and thinking changes life outcomes. Our mission is simple: help more students learn how to express ideas clearly, confidently, and independently.
We believe AI should support learning, not shortcut it. That belief shapes everything we build: tools that strengthen skills, respect the role of educators, and keep students doing the hard (and important) work of thinking for themselves.
We’re a fast-moving team working at the intersection of education, design, and AI — building things that are used in real classrooms, by real teachers, with real impact. If you care about craft, learning, and building technology that actually matters, you’ll feel at home here.
About the Role
We’re hiring an AI-Native Product Engineer to build and ship high-quality frontend products powered by modern AI workflows.
This is not a traditional frontend role — you’ll use
agentic AI systems (multi-step agents, tools, evals)
to accelerate development, while still owning clean, production-ready code when it matters.
Ideal for engineers who enjoy building fast, thinking independently, and working at the intersection of
product, AI, and user experience
.
What You’ll Be Doing
Build and ship frontend features using
React
Use AI workflows (agents, tools, evals) to
accelerate product development
Design structured AI systems — not just prompt in chat
Step in to debug, refine, and own code when AI falls short
Integrate APIs (including LLM services) and collaborate with backend teams
Improve UX, especially around
interactive and content-heavy workflows
Ship clean, maintainable, production-ready code
What We’re Looking For
Core Requirements
Strong
React + JavaScript/TypeScript
fundamentals
Able to build and ship features
independently
Comfortable working with APIs and backend integration
Good product sense + UI/UX awareness
Clear communicator, able to work in a
remote setup
AI-Native Mindset
Experience using AI beyond basic prompting (agents, workflows, tools)
Understands how to make AI outputs
structured, testable, and reliable
Knows when to rely on AI — and when to take over manually
Bonus
Angular exposure (for existing systems)
Experience with rich-text editors (e.g. Lexical)
Interest in EdTech / learning products
Candidates should be able to show:
GitHub / live projects / portfolio
AI workflows or systems they’ve built
Real examples of shipped work