Technical Lead

About the role

The Role As Technical Lead, you will own the technology behind our AI‑enabled platform as it scales across partner schools. You will set the technical direction, own architecture and delivery end‑to‑end, and lead our development team. This is a hands‑on leadership role: you will still write code, while using AI coding tools such as Claude Code to accelerate delivery across the team.

Key responsibilities

• Own the technical roadmap and architecture decisions to ensure scalability, security and multi‑school support.
• Lead and mentor the development team, set priorities, run code reviews, establish engineering standards and support hiring.
• Develop complex React components and manage Firebase backend workflows (Firestore, Auth, Hosting, Cloud Functions).
• Architect and ship AI‑powered features using Google AI Studio (Gemini), OpenAI and LangChain, moving from experimentation to core product logic.
• Ensure student data protection with role‑based access, guardrails, testing and monitoring for AI outputs.
• Implement AI‑assisted engineering workflows with Claude Code and similar tools for code generation, refactoring and debugging.
• Own testing, CI/CD and release processes, proactively resolve bugs and optimise performance.
• Maintain clear technical documentation on GitHub, keeping the codebase modular and accessible.
• Collaborate with product, design and founding teams to translate vision into technical plans, realistic timelines and weekly development cycles, and represent the technical side with partner schools when needed.

Required profile

• 5+ years of professional full‑stack development experience, including 1–2 years in a technical lead or senior engineering role.
• Proven ability to lead developers, make architecture decisions and deliver products end‑to‑end.

Required skills

• Firebase suite (Firestore, Auth, Hosting, Cloud Functions) and serverless deployment.
• React and modern state‑management tools.
• AI/LLM integration experience with Gemini, OpenAI or LangChain.
• Git/GitHub workflows, automated testing, CI/CD pipelines.
• Application security best practices.
• AI‑assisted coding tools such as Claude Code.