Engineering Manager Payments
We’re looking for an Engineering Manager to join our Models team, an experimental driven tribe working at the intersection of engineering, data science, and product to deliver performant, accurate, and scalable systems powering the pricing logic behind our sportsbook. You’ll work with quant models, simulations, and pricing systems that are critical to how Superbet engages customers. This role combines technical leadership, people development, and delivery management to ensure engineering quality and team clarity across both model integration and operational ownership. You’ll also contribute to maturing our engineering practices; including system reliability, observability, testing, CI/CD, and documentation, driving best practices within the team as we scale the platform and grow the team.
- Lead a team of engineers delivering and supporting pricing models and simulations at scale
- Partner with analysts, PMs, and engineering peers to improve the accuracy, testability, and stability of pricing systems
- Strengthen relationships with Product, Quant, and Data Science to ensure alignment and clarity in delivery
- Promote a culture of ownership, clarity, and best practice in engineering
- Ensure balance between product delivery and tech initiatives-creating room for improvements in infrastructure, standards, and long-term scalability
- Support individual engineers through structured feedback, career development, and regular check-ins
- Drive hiring and contribute to a strong culture of engineering excellence and documentation across the mission
- Proven experience in engineering leadership, across both people and delivery
- Strong technical background-ideally in backend systems, distributed architecture, or real-time data platforms
- Experience in hiring and developing engineering teams, including mentoring, 1:1s, and career development
- Demonstrated ability to build team culture and engineering discipline
- Comfort balancing business delivery and engineering health (tech debt, infra, documentation)
- Strong exposure to on-call responsibilities and improving production reliability
- History of working in cross-functional teams and aligning with product and engineering stakeholders
- Deep understanding of the software development lifecycle
- Effective at resolving complex engineering and communication issues
- Great time management, organisational, and multitasking skills
- Bonus points for: Experience in iGaming, especially within Sportsbook or Trading domains
- Familiarity with quantitative modelling workflows and their engineering lifecycle
- Experience in simulation platforms, ML pipelines, or pricing systems
- Ability to lead teams through experimental or uncertain development environments
- Hands-on experience driving or improving Agile development practices



