About the Role
Our AI Platform & Edge team sits at the heart of how SumUp is scaling intelligent, merchant-facing experiences across millions of interactions. We build and operate the AI systems — from LLM-powered assistants to agentic platforms — that directly shape how merchants get support, resolve issues, and engage with SumUp's products. As Engineering Manager for Edge, you'll take ownership of a growing, cross-functional team of engineers and ML specialists, leading the execution of some of our most technically complex and commercially critical AI initiatives. This is a rare opportunity to lead meaningful AI work at scale — not just shipping features, but shaping how an entire platform evolves.
What you'll do
- Lead the day-to-day execution of the Edge AI team, translating long-term product vision into clear sprint roadmaps and measurable delivery milestones
- Own the migration of our AI assistant to an autonomous agentic setup, maintaining performance while expanding AI support across all merchant-facing channels
- Set the technical direction for LLM-powered system design, making clear tradeoffs across quality, latency, and cost
- Build a data-informed engineering culture by defining performance metrics, tracking delivery velocity, and using insights to continuously improve team health and throughput
- Hire, mentor, and develop a team of engineers and ML specialists — including interns — creating an environment where people grow and do their best work
You'll be great for this role if…
- Strong hands-on background in ML/AI engineering or data science, with experience leading a team delivering production AI products
- Deep technical knowledge of LLM-powered system design, including RAG, embeddings, tool/function calling, and orchestration frameworks such as LangChain or LlamaIndex
- Proficiency in Python and core AI/ML libraries, including PyTorch and HuggingFace Transformers, with solid LLMOps/MLOps and CI/CD practices
- Proven track record of launching AI features end-to-end in production — from problem framing and prototyping through to reliable, measurable delivery
- Ability to lead with clarity, empathy, and accountability — building inclusive, high-performing teams while navigating ambiguity and managing stakeholders across technical and non-technical domains