Senior Engineering Manager - Data Platform

Company Description

We’re Checkout.com – you might not know our name, but companies like eBay, ASOS, Klarna, Uber Eats, and Sony do. That moment when you check out online? We make it happen.

Checkout.com is where the world checks out. Our global network powers billions of transactions every year, making money move without making a fuss. We spent years perfecting a service most people will never notice. Because when digital payments just work, businesses grow, customers stay, and no one stops to think about why.

With 19 offices spanning six continents, we feel at home everywhere – but London is our HQ. Wherever our people work their magic, they’re fast-moving, performance-obsessed, and driven by being better every day. Ideal. Because a role here isn’t just another job; it’s a career-defining opportunity to build the future of fintech.

Checkout.com is looking for an ambitious Senior Engineering Manager to join our Data and AI Platform Team. Our team’s mission is to ultimately provide all the tools and platforms which will ensure data and AI can be easily leveraged to the benefit of our products, merchants, and internal collaborators and teams.

Our focus should be on maximising the amount of time other teams spend on solving business problems and innovating their products, and minimising the time spent on technical details around implementation, deployment and monitoring of their data and AI solutions.

We're building for scale. As such, much of what we design and implement today will be the technology and infrastructure which will serve hundreds of teams and petabyte-level volumes of data.

Key Responsibilities

Lead the team in establishing and validating their understanding of technical architecture and design end-user centric systems and tools. Lead technical delivery and operational reliability by automating processes including monitoring and alerting, meeting SLAs/SLO, and minimising toil to ensure high-performance, scalable engineering excellence. Manage a team of Junior and Senior Data Engineers while also being hands-on when needed. Cultivate an environment where every team member feels included while mentoring team members in their career development and interpersonal skills. Make a good team great. Ability to oversee quarterly execution of roadmap delivery, ensure the team is focused on the right priorities, efficiently managing through dependencies and other cross-functional hurdles. Collaborate with Engineering and provide solutions to internal clients for data platform use cases. Build and improve on strong relationships with engineers, managers, and product leads across multiple teams. Being in a highly regulated financial space, you’ll need to ensure compliance with various control frames - both from internal stakeholders such as InfoSec and Internal Audit - as well as external requirements from auditors and regulators. Experience working in regulated industries is critical. Oversee AI use-cases and lead the team to develop the underlying infrastructure and tooling required to support AI governance and scalable GenAI production environments.