• Set technical strategy across multiple product areas, and make the commercial case for it to leadership with data rather than assertion
• Identify cross-cutting architectural risks and resolve them before they block us at scale
• Set engineering standards, architectural patterns, and documentation norms, including the writing precision that makes specs reliable inputs for both engineers and agent systems
• Raise the reliability, observability, and security bar across engineering: SLO philosophy, incident management standards, production readiness, and threat models that hold up in the AI era
• Be a force of innovation on AI for Software Engineering.: Monitor our LLM usage, latest models trial and evaluation, technical debt modernisation through AI agents.
• Develop staff engineers and technical leads, multiplying leadership capacity across the organisation
• Own the AWS relationship on the engineering side: architecture reviews with their solution architects, early access programmes, and the calls on which services we adopt, when, and at what cost
• Speak for Motorway in public, at AWS summits, conferences and meetups, and raise the bar internally for how engineers present their work to each other and to the business