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Zuto, located in Manchester City Centre, seeks a Conversion & Experimentation Manager to lead the growth engine by understanding customer journeys, identifying friction points and driving improvements through data-driven experimentation.
You will combine behavioural insights, analytics and AI-powered tooling to learn faster and boost customer conversion and funding outcomes for more customers.
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.