Chief Technology Officer

Location: London, hybrid 2 days per week in the office

Revoco is proud to be partnering with a global marketing technology business, backed by a highly experienced team spanning media strategy, planning, data science, qualitative research, software development and data engineering.

They are seeking an experienced Chief Technology Officer to lead their engineering function through its next phase of growth. You'll inherit a mature cloud-native platform, a strong engineering team and a business with ambitious plans around AI and product development.

This is a strategic yet hands-on leadership role. You'll shape the technology strategy while remaining close to the engineering team, architecture and technical decision making. You'll also help define how software is built in an increasingly AI-native environment.

The Role

• Define and lead the technology strategy, aligning engineering with wider business and product objectives.
• Lead, mentor and scale a high-performing engineering team of around 10 people.
• Remain close to architecture, technical decisions and engineering practices, providing hands-on technical leadership where required.
• Work closely with Product and Data Science to bring new products, AI capabilities and customer requirements to life.
• Strengthen the full SDLC, including architecture, development, testing, deployment, quality and DevOps.
• Help shape how AI is adopted across engineering, using agentic development tools to improve velocity without compromising quality, security or maintainability.
• Act as a technical figurehead across the business, communicating effectively with senior stakeholders, clients and the board.

Their platform is built on a modern cloud-native stack including GCP, Kubernetes, Golang, Python, Angular, Postgres, Vertex AI and Temporal, with a strong focus on data, machine learning and AI-driven measurement products.

You'll bring practical experience using agentic AI development tools such as Claude Code, Cursor, GitHub Copilot or equivalent as a primary way of producing software. You'll be comfortable directing AI coding agents, critically reviewing their output and knowing when to accept, correct, refactor or reject it.

You'll also have experience productionising ML/LLM systems and embedding effective MLOps practices within engineering environments.

What You'll Bring

• Proven success in a senior technology leadership role such as CTO, VP Engineering or Director of Engineering within a high-growth B2B SaaS or martech environment.
• Strong technical depth with a hands-on approach to leadership, remaining close to architecture and engineering decision-making.
• Experience setting technology vision and strategy that aligns with commercial and product objectives.
• Strong knowledge of GCP, Kubernetes and modern microservice architecture, with familiarity across Golang, Python, Angular and Postgres.
• Practical experience with agentic AI development tools and AI-assisted software engineering.
• Experience building and productionising ML/LLM systems and establishing MLOps best practices.
• Experience owning the full software development lifecycle from conception through to deployment and ongoing maintenance.
• Excellent communication and stakeholder management skills, with the ability to work effectively across Engineering, Product, Data Science and the wider business.
• The judgement to evolve an established engineering function without disrupting what already works.
• Eligible to work in the UK and able to work from the London office at least three days per week.