Senior Engineering Manager, Supply

Overview

As Senior Engineering Manager, you will lead multiple engineering teams to evolve the supply platform architecture, tooling, and operations. You’ll shape the long-term technical vision for supply integration and scaling across Trainline’s platform, partnering with product, data science, commercial, and supply stakeholders. The role focuses on platform modernization, scalable architectures, and AI-enabled workflows to boost efficiency and impact. You’ll drive high-performing teams, cultivate experimentation, and deliver measurable outcomes that support the company’s green travel mission.

Pay / Benefits

• private healthcare & dental insurance
• generous work from abroad policy
• 2-for-1 share purchase plans
• EV scheme to reduce carbon emissions
• festive time off
• family-friendly benefits

Responsibilities

• Lead and develop multiple engineering teams and managers to foster growth and inclusive leadership
• Define and drive the long-term technical vision for supply integration, management, and scaling
• Own end-to-end delivery across the Supply Platform domain with measurable operational and business impact
• Collaborate with Product, Data Science, Commercial, and Supply teams to align technical strategy with business needs
• Promote AI-enabled and agentic workflows to improve scalability, automation, and efficiency
• Manage large-scale platform modernization and architectural transformation initiatives
• Provide technical leadership on platform architecture, APIs, system interactions, and operational workflows
• Champion engineering excellence with resilient, observable, and scalable systems and a culture of experimentation and learning

Key requirements

• Significant experience leading multiple engineering teams in platform, distributed systems, or large-scale tech environments
• Track record of building inclusive, high-performing engineering organizations and developing future leaders
• Experience leading platform modernization or large-scale technical change programs in complex environments
• Ability to balance long-term strategy with pragmatic delivery and operational excellence
• Experience applying AI, automation, or intelligent workflows to engineering or operational domains
• Strong collaboration and stakeholder management across Engineering, Product, Data Science, Commercial, and Operational teams
• Comfort navigating ambiguity and driving clarity and momentum across teams
• Experience with APIs, distributed systems, platform architectures, or integration-heavy environments; exposure to platform engineering, workflow orchestration, or operational automation

• collaboration
• stakeholder management
• inclusive leadership
• AI-enabled workflows
• platform modernization
• architectural transformation

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