Head of Information Technology & Security

An early-stage software company building tools for technical teams working with AI and robotics systems, helping them manage complex data and workflows to build more reliable automated systems. Moving from early prototypes and customer proof points into a production-grade platform, they need a CTO to build the engineering organisation and product to get them there.

About the Role
A hands-on leadership role owning technical strategy, architecture, engineering execution, and hiring across product engineering, infrastructure, and applied AI.

This is a builder's role first and a manager's role second. You'll set the technical direction, shape the architecture, grow the engineering team, and stay hands-on enough to catch problems before they become expensive.

Expect to move between big-picture decisions and the occasional deep dive into the codebase, and to work closely with founders, customers, and the research side of the business. It's not a job for someone who wants to run engineering from a distance, you need to genuinely understand what's being built and why.

Core Responsibilities

Shape the platform's architecture and turn early-stage prototypes into dependable, production-ready systems

Grow and lead the engineering function, covering everything from core infrastructure to applied research integration

Set the standards the team works to — quality, testing, security, uptime

Decide what to build versus what to buy, and turn customer and research input into a coherent roadmap

Take ownership of data handling, security, and the operational maturity needed to serve larger customers

Act as the technical face of the company for customers, partners, and investors

What They Need

A track record of building and scaling real-world software systems, not just prototypes

Broad technical range — backend engineering, cloud infrastructure, data systems, and modern AI/ML

Experience running engineering teams somewhere early-stage and fast-moving

Sound judgement on tradeoffs — architecture, technical debt, hiring, sequencing

The ability to bridge research thinking and production discipline without mixing the two up

Someone with genuine ownership, minimal ego, and solid follow-through

Bonus Points

Exposure to intelligent systems, automation, or data-heavy technical products

Experience serving enterprise or highly regulated customers

Background untangling messy, large-scale, or multimodal data pipelines

Having actually taken something from first customer to repeatable, scalable delivery

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