ABOUT THE TEAM:

You will lead two teams of engineers responsible for building and supporting SumUp’s Risk & Compliance ML and Data Platform, as well as Operational Efficiency Services. We prioritize scale, efficiency, and high availability, aiming to create global, adaptable services that can be easily expanded into new markets.
In collaboration with the Product Manager, you will define objectives and key results (OKRs), shape the team’s vision, drive technical execution, contribute to architectural designs and code reviews, provide mentorship and people leadership, and champion operational excellence to enhance the merchant experience.
The ML and Data Platform team develops and maintains a scalable, end-to-end data and ML platform using AWS, Kubernetes, Spark, and MLflow—primarily for AML and fraud prevention—while also supporting broader use cases across SumUp. Future initiatives include integrating advanced capabilities such as graph-based features, entity embeddings, and generative AI.
At SumUp, you will be part of a diverse and globally distributed team, working alongside engineers across Europe and Latin America to build inclusive, impactful solutions.

ABOUT US:

SumUp is a leading financial technology company, founded in 2012 with the goal of empowering small businesses around the globe. We’re the financial partner of choice for more than 4 million merchants in over 35 markets. We collectively build, plan and fine-tune the technology that drives SumUp and empowers small businesses around the world.
We believe in the everyday hero. Those who have the courage to follow their passion and who have the strength and determination to realise their dreams. Small business owners are at the heart of all we do, so we’re creating powerful, easy-to-use financial solutions to help them run their business. With a founders mentality and a ‘team-first attitude’ our diverse teams across Europe, South America, and the United States work together to ensure that small business owners can be successful doing what they love.
SumUp is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. SumUp does not make hiring or employment decisions on the basis of race, colour, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age or any other basis protected by applicable laws or prohibited by Company policy. SumUp also strives for a healthy and safe workplace and strictly prohibits harassment of any kind.

WHAT YOU’LL DO:

• Lead two squads of engineers in developing and maintaining SumUp’s Risk & Compliance ML Platform and Operational Efficiency services, ensuring scalability, reliability, and high performance.
• Partner with the Product Manager to define OKRs, oversee technical delivery, contribute to architectural designs, and conduct code reviews.
• Mentor and support engineers, fostering an inclusive, collaborative, and growth-oriented team culture.
• Shape software architecture within the team and coordinate dependencies across teams, aligning with SumUp’s broader platform strategy.
• Champion a hands-on, high-observability approach with a “build-it, support-it” mindset.
• Conduct regular 1:1s to provide guidance on career development, skill enhancement, and performance growth.
• Collaborate with global teams across Europe and Latin America, building strong partnerships with stakeholders and technical leaders.
• Contribute to the Risk & Compliance tribe steering group, working with senior engineering leaders to drive the team’s vision and impact.

YOU’LL BE A GREAT FIT FOR THIS ROLE IF YOU HAVE:

• 3+ years leading a team of 4-7 software/ML engineers or data scientists as an Engineering Manager (ideally 5+ years total experience).
• Proven ability to collaborate with Product Managers on trade-offs and quarterly/yearly planning.
• Hands-on experience with AWS or similar cloud platforms.
• Experience with modern cloud-native backend languages and container orchestration.
• Deep understanding of databases, distributed systems, and relational databases.
• Experience managing data science or data engineering projects.
• Skilled in leading co-located and remote agile cross-functional teams.
• Strong technical acumen to engage in discussions on architecture, trade-offs, and technical concepts.
• Analytical mindset with a data-driven approach to problem-solving.