Join a fast-growing 16-person team building the future of higher education through AI. As a Junior Product Engineer, you will ship production code across the full stack, developing student-facing study tools and university analytics. This role offers high ownership, direct feedback loops, and the chance to work with modern LLM tooling.
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Learn about Jack
Junior Product Engineer at StudyStash
Ready to build the future of higher education? We are looking for a Junior Product Engineer to join a high-growth, 16-person B2B AI startup in the UK. You will ship production code immediately across a modern Next.js and TypeScript stack, building AI-powered study tools used by students and universities alike. If you have a passion for LLMs and want a role with real ownership, an AI tokens budget, and a clear path for growth, this is the perfect place to start your engineering career.
About this role
Role overview
About the company
StudyStash
EducationBristol, United KingdomSeed (VC-backed)
StudyStash is an AI-driven EdTech startup that provides a gamified platform integrating with LMS to deliver personalized, adaptive learning experiences. It converts course materials into tools like flashcards and practice tests, offers AI study tutor support, and improves student engagement, grades, and outcomes using neuroscience-backed methods while reducing faculty workload.
What you'll do
What you will do
- Build student-facing features like AI-generated flashcards, notes, and analytics using Next.js, TypeScript, and PostgreSQL.
- Develop and improve lecturer workflows, including complex LMS/LTI integrations and administrative reporting dashboards.
- Manage the end-to-end product lifecycle from technical implementation to performance optimization and accessibility improvements.
Who you are
Who this is a fit for
- You have a track record of building and shipping web applications, internal tools, or sophisticated side projects.
- You are proficient with React, Tailwind CSS, and Node.js, with a strong desire to master full-stack development.
- You have experience or a deep interest in building with AI tooling such as Claude, Cursor, or similar LLM frameworks.
Why this role
Why this role is remarkable
- You will ship production code early in your career with real ownership over features that impact student learning outcomes.
- Work in a high-momentum environment with a small, elite team of 16 people where your contributions are immediately visible.
- Gain deep exposure to the cutting edge of AI, utilizing a modern stack including Next.js, TypeScript, and various LLM providers.
Jack & Jill
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Meet Jack
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
How does this work?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If it’s a match and the company wants to meet you, they’ll make the intro. In the meantime, if you’d like, Jack will send you excellent alternatives.