Conversion & Experimentation Manager

Conversion & Experimentation Manager

Location:

Manchester City Centre

Join our team of passionate Zutonites and help transform the car finance experience with simplicity and integrity.

Since our journey began in 2006, we’ve grown to a team of over 550 people — all driven by a shared purpose: to make buying a car transparent and hassle-free.

We know how important cars are in people’s everyday lives — for work, family and freedom — and that’s why we’re proud to help hundreds of thousands of customers every year. From day one, we’ve been redefining what success looks like, creating something special at Zuto: a business that leaves a lasting, positive legacy.

If you’re looking for an engineering environment where you can genuinely own problems, challenge existing approaches and help shape how we build technology, you’ll fit right in. We’re transforming our architecture and embracing AI-assisted development, giving our engineers the freedom and tools to move quickly, experiment and build better solutions.

As our Conversion & Experimentation Manager, you’ll become the conversion engine behind some of Zuto’s most important growth initiatives.

You’ll take ownership of understanding how customers behave throughout their journey — identifying where they experience friction, uncovering opportunities to improve conversion and using experimentation to understand what genuinely works.

Combining behavioural insight, analytics, experimentation and AI-powered tooling, you’ll help us make faster, smarter decisions and ultimately help more customers successfully finance their next car through Zuto.

This isn't about running tests for the sake of it. Success is measured by how quickly we learn what works and how effectively those learnings improve customer and commercial outcomes.

• Owning conversion performance across key customer journeys, identifying opportunities to improve progression, engagement and funded deals.
• Building and maintaining a prioritised optimisation roadmap focused on the opportunities with the greatest customer and commercial impact.
• Identifying and removing friction throughout the customer journey.
• Using continuous optimisation to improve both customer outcomes and business performance.
• Connecting conversion activity directly to measurable commercial results.

• Using behavioural data, customer insight and journey analysis to uncover opportunities others may miss.
• Developing a deep understanding of our customers — their motivations, barriers and decision-making behaviours.
• Combining quantitative and qualitative insight to build strong hypotheses and prioritise opportunities.
• Turning complex data into clear, actionable recommendations.
• Using evidence and insight to influence decisions across the business.

• Using AI tools day-to-day to accelerate analysis, opportunity discovery, hypothesis generation and experiment design.
• Building scalable approaches to insight generation and performance monitoring using AI-enabled technology.
• Exploring emerging AI capabilities and identifying where they can help us understand customers and improve performance faster.
• Helping build an AI-native growth capability where modern tooling becomes part of how we operate rather than an add-on.

• Designing, executing and evaluating experiments across customer journeys, communications and digital experiences.
• Working closely with Product, Design and Engineering to move ideas quickly from opportunity through to implementation.
• Creating a rapid test-and-learn culture where decisions are based on evidence rather than opinion.