Requirements:

You have experience leading an organisation of at least 50 individuals (including experience managing Engineering Leaders).
You’re able to quickly build trust with, empower, and structure your teams to be high performing.
You are comfortable operating at a high level with your partners in Data, Product, Design, but equally comfortable going deep into the technical systems, design and infrastructure with your engineers.
You work effectively with a diverse range of people, functions, and working styles to get stuff done, and are able to thoughtfully and constructively challenge and influence the people you work with.
You are passionate about deeply understanding your business and products.
You organise and evaluate the success of your team’s work by identifying key metrics and their drivers.
You make good decisions in complex situations where there’s often no “right answer”.
You are someone who regularly pushes senior leaders to get to better solutions by challenging our thinking, based on data.
You are comfortable personally diving deep into data.
You have a strong “bias to action”.

Nice to have:

Have worked on problems that have been solved with various forms of Machine Learning or AI.
Strong applied algorithms and data structures experience, having previously built products/systems or managed teams where this was necessary.

Leading an organisation of ~50 individuals.
Building teams across the full stack, focusing on ML and AI-powered decision making, agentic-models, prediction, forecasting, and demand management infrastructure.
Owning tools and UIs used by customers to get help and human agents to provide help.