Company Description

We’re Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.

We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.

Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.

If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.

With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.

Checkout.com is looking for an ambitious Senior Engineering Manager to join our Disputes team. Our mission is to build the tools, services, and models that help merchants manage and win disputes at scale - reducing the cost and operational burden of chargebacks while protecting revenue for our merchants and our business. Disputes sit at the intersection of merchant-facing products, complex scheme and regulatory processes, and data-driven decisioning. Our team owns the full stack, anchored by a.NET back end that manages the dispute lifecycle and integrates with card schemes, alongside the front-end experiences merchants use to track and respond to disputes and the machine learning models that predict outcomes and recommend the best action on every case.

We're building for scale, and that scale brings ambiguity, shifting priorities, and the occasional setback - so we're looking for a resilient leader who has built and sustained high-performing teams, learned from failure, and come back stronger. Above all, you'll be someone who drives predictable delivery and operational efficiency: shipping consistently, running systems reliably, and continuously improving how the team works. The ideal candidate has operated across both enterprise and scale-up environments and has a proven track record of driving growth within large, complex, regulated organisations.

Key Responsibilities

• Lead a team centred on a.NET back end, with front-end and machine learning components, helping engineers establish and validate their understanding of technical architecture and design end-user-centric systems and tools.
• Own predictable, high-velocity delivery — establishing healthy engineering practices, sensible estimation, and a smooth path from idea to production so the team ships consistently and sustainably.
• Drive operational efficiency and reliability by automating processes — including monitoring and alerting — meeting SLAs/SLOs, reducing operational cost, and minimising toil to keep the team focused on high-value work rather t
• Continuously improve delivery and operational metrics (e.g. cycle time, deployment frequency, change failure rate, and incident response), using data to identify bottlenecks and raises the bar over time.
• Manage team engineers across various seniority levels and disciplines while staying hands-on when needed. Cultivate an inclusive environment where every team member feels they belong, and mentors them in both their career development and interpersonal skills. Make a good team great, and keep it great.
• Oversee quarterly execution of roadmap delivery, ensuring the team stays focused on the right priorities and manages efficiently through dependencies and cross-functional hurdles.
• Collaborate across Engineering, Product, and Operations to deliver solutions for merchant and internal dispute use cases.
• Build and strengthen relationships with engineers, managers, and people leads across multiple teams.
• Operating in a highly regulated financial space, ensure compliance with a range of control frameworks — from internal stakeholders such as InfoSec and Internal Audit, to external auditors, card schemes, and regulators.
• Oversee the responsible use of machine learning and AI in dispute decisioning, leading the team to develop the infrastructure, tooling, and governance required to run models safely and at scale in production.