🇪🇬 Up to EUR 15,000 salary on a full time, permanent employment contract 🌎 Fully remote working anywhere in Egypt! 🏖️ 33 Days Paid Leave and Benefits ✨ Exciting high growth product, relied on by leading global sports brands 💻 Working with the latest hardware, tech stack and tools ABOUT US
Storyteller is a high-growth B2B SaaS platform that allows companies to integrate Stories into their owned and operated platforms. Popularized by Instagram and Snapchat, Stories are perfectly suited for boosting user engagement, audience retention, and driving advertising revenue.
Our end-to-end platform provides companies with a best-in-class Stories experience in days, featuring native iOS, Android, and Web SDKs, publishing tools, analytics, and ad support.
Since launching our first product, Storyteller, we’ve proven the impact of Stories at scale with leading brands worldwide. Building on that foundation, we’re evolving into a multi‑product platform that’s AI‑native—using modern AI to help partners create, tag, personalise, and measure immersive content across their owned channels. We also build with AI: from code and test generation to design and analytics. If you want to shape both an AI‑powered product and an AI‑accelerated way of working, this is the place.
We work with many globally recognised clients, particularly within sport, so if you’re a sporting fan this could be a great fit! RESPONSIBILITIES What can you expect?
As a Junior/Graduate Software Engineer, you’ll join a supportive, product‑minded team that values collaboration and clear thinking. You can work remotely with the flexibility to balance life and work. You’ll help build the SDKs and services that power Stories on iOS, Android and Web—used by globally recognised clients, especially in sport. If you’re a sports fan, you’ll enjoy seeing your work live with major organisations. This role will provide you with the opportunity to:
Ship features end‑to‑end: design, build and test small, well‑scoped improvements to our products
Make things reliable and fast: fix bugs, add tests, and instrument code so we can measure performance and stability.
Solve real customer problems: collaborate with Product, Design and Solutions to scope simple, pragmatic solutions that work for our clients.
Improve developer experience: contribute to examples, docs and small tools that make integration with our SDKs smooth and enjoyable.
Think from first principles: break problems down, reason about trade‑offs, and pick the simplest approach that works.
Learn in the open: participate in code reviews (giving and receiving feedback), pair with teammates, and share what you’re learning.
Own your work: plan your tasks, communicate progress, and follow through to high‑quality releases.
Contribute to how we build: help refine our CI, test suites and local dev scripts as we scale.
A genuine excitement for AI and AI‑assisted coding — this is a must‑have. You’re curious about LLMs and actively use (or are eager to use) code assistants and AI APIs to move faster, while verifying outputs with tests and sound reasoning.
Clear problem‑solving: you can break a task down, reason from first principles, and explain trade‑offs simply.
Reliability and follow‑through: you meet agreed timelines, communicate early if blocked, and finish well
Openness to feedback: you’re coachable, curious, and iterate based on what you learn
Strong written and verbal communication; you can collaborate well in a remote setting.
Reliable, consistent internet access for remote work.
Side projects, a small repo, open‑source contributions, or a write‑up showing how you learn.
Exposure to TypeScript, React, basic APIs/HTTP, or simple databases (SQL/NoSQL).
Familiarity with mobile or web SDKs is a bonus (we ship iOS, Android and Web).
Interest in sports, media, or content tech.
Backgrounds we’ve seen succeed include maths, physics, bootcamps, and self‑taught routes—a CS degree is not required.
RECRUITMENT PROCESS Firstly - Hiring Manager conversation (20–30 mins)
A short call to get to know you, share more about Storyteller, and hear what excites you about AI and AI‑assisted coding.
Secondly - 60‑minute, time‑boxed take‑home (Python or Node/TS)
A tiny, real‑world task: fix a couple of failing tests and add a small feature. You may use AI assistants—please include a brief note on how you used them and how you verified outputs (tests, reasoning). Submit even if you don’t finish; clarity and judgement matter.
Finally - Review, Pair Programming & Questions (60–75 mins)
We’ll review your submission together, pair on a small improvement or bug, and explore a simple first‑principles problem. Open docs are welcome. Bring your questions—we want you to leave with a clear picture of the work and the team.
And that's it!
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