Software Engineering Manager

Salary: £100,000 – 100,000 per year

Requirements

• We are looking for strong Node.js, TypeScript, and SQL experience.
• We need experience building scalable distributed systems.
• We want someone comfortable working with cloud platforms and production environments.
• We are looking for deep technical credibility and the ability to set architecture direction, not just implement solutions.
• We need someone who is comfortable with hands‑on coding and can still build core systems.
• We want prior experience managing engineers and supporting their development.
• We value experience or strong interest in AI‑assisted engineering practices, including tools such as GitHub Copilot, Cursor, or ChatGPT.
• We need strong communication skills and the ability to work with product, design, and data teams.

Responsibilities

• We expect you to write code for around 60% of your time.
• We want you to lead architecture and make key technical decisions.
• We need you to manage and develop a team for around 40% of your time.
• We want you to drive adoption of AI‑assisted development practices.
• We expect you to own delivery outcomes end to end.
• We want you to run 1:1s, performance reviews, and career development discussions.
• We need you to mentor engineers in system design, clean coding, problem solving, and AI literacy.
• We want you to coach the team on safe and effective use of AI tools and workflows.
• We expect you to improve productivity through AI tools, automated test generation, and AI‑assisted debugging.

Technologies

• AI
• ChatGPT
• Cloud
• Copilot
• Cursor
• GitHub
• Support
• SQL
• TypeScript
• NodeJS
• Backend

More

We are a decision‑support platform that helps companies understand markets and prices so they can make smarter commercial decisions. This is a permanent Software Engineering Manager role based in London on a hybrid working basis, offering a salary of £105–110k plus bonus and benefits. The role is a hands‑on player‑coach position for someone who enjoys coding, leading modern product teams, and shaping engineering practices with a strong emphasis on AI‑assisted development.

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