Engineering Manager - Edge AI
SumUp
Seniority
Midweight
Model
In-Office
Sector
Salary
Undisclosed
Contract
Full-Time
About the role
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 technically complex and commercially critical AI initiatives. You'll lead the day-to-day execution of the Edge AI team, translating long-term product vision into clear sprint roadmaps and measurable delivery milestones.
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
What you'll need
- 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
What they offer
- Virtual Stock Option programme
- Annual L&D budget of €2000
- Corporate pension scheme with up to 20% matching
- 28 days of paid leave plus public holidays and special leave days
- 1-month sabbatical after 3 years of service
- Urban Sports Club subsidy, Kita placement assistance, subsidised office lunches

