CTO – London

Overview

In this role you will define and drive the technology strategy for a global marketing tech business, leading a mature cloud-native platform and a capable engineering team. You will work closely with Product and Data Science to deliver AI-enabled products while shaping architectural direction and engineering best practices. The position combines strategic leadership with hands-on technical input to accelerate growth and ensure scalable, secure software delivery. You’ll act as a technical figurehead across the business, aligning technology with commercial and product objectives.

Pay / Benefits

• hybrid London office (3 days)
• competitive salary (£145,000) + 30% bonus
• ambitious growth plans
• strong engineering team
• AI-focused product roadmap
• global scope

Responsibilities

• Define and lead the technology strategy aligned with business and product objectives
• Lead, mentor and scale an engineering team of ~10 people
• Maintain close involvement with architecture, technical decisions and engineering practices
• Collaborate with Product and Data Science to deliver new products and AI capabilities
• Strengthen the full SDLC (architecture, development, testing, deployment, DevOps)
• Shape AI adoption across engineering using agentic development tools to improve velocity while maintaining quality, security, and maintainability
• Provide clear technical leadership to stakeholders, clients, and the board

Key requirements

• Senior technology leadership experience (CTO, VP Engineering, or Director of Engineering) in high-growth B2B SaaS or martech
• Hands-on leadership with deep technical depth and architectural involvement
• Experience setting technology vision aligned with commercial and product objectives
• Strong knowledge of GCP, Kubernetes, and modern microservice architecture
• Proficiency in Golang, Python, Angular and Postgres
• Experience with agentic AI development tools and AI-assisted software engineering
• Experience building and productionising ML/LLM systems and establishing MLOps practices
• Experience owning full SDLC from conception to deployment and maintenance
• Excellent communication and stakeholder management across Engineering, Product, Data Science and the business
• Eligible to work in the UK and able to work from London office at least three days/week

• excellent communication
• stakeholder management
• collaboration across cross-functional teams
• GCP
• Kubernetes
• microservice architecture

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