AI Engineering Manager | Remote | Europe

About the role

Build and lead an engineering team that thrives in a fast-moving agentic, AI-native world—developing engineers, creating clarity, and delivering meaningful outcomes with strong technical judgment. You will lead teams working on AI agents and agentic workflows within n8n, enabling users to orchestrate complex, multi-step automation across tools, data, and models.

What you'll do

• Lead, coach, and develop a team of engineers building agent-based systems, workflow orchestration capabilities, and AI-powered nodes.
• Foster a culture of experimentation and rapid iteration, where engineers continuously improve prompts, tool usage, and workflow logic based on real-world outcomes.
• Help your team navigate a space where agents, tools, memory, and orchestration patterns are still emerging and rapidly changing.
• Translate evolving AI capabilities into clear product and engineering direction for n8n workflows, nodes, and automation primitives.
• Partner with Product and Design to define and ship agent-powered workflow experiences that feel intuitive, composable, and powerful.
• Ensure the team delivers end-to-end agent systems, including orchestration logic, tool integrations, memory handling, and execution environments.
• Bring strong technical depth in LLM integrations, tool use, and workflow orchestration, enabling you to mentor and challenge your team.

What you'll need

• First-line engineering management experience, ideally including automation platforms, workflow systems, or AI-powered features.
• Significant experience working with Evaluations and driving results via evals.
• Strong people leadership: you coach engineers effectively and build teams in ambiguous, fast-evolving technical spaces.
• Strong software engineering background with confidence discussing distributed systems, APIs, and system design.
• Hands-on ability to dive into workflow logic, integrations, or AI system behaviour to support your team.
• Experience working closely with Product and Design to deliver end-user-facing builder experiences.
• High-growth SaaS experience and understanding of how to scale teams and systems in a fast-moving environment.
• Experience working with LLMs, agents, or automation systems, with understanding of their strengths, limitations, and failure modes.

Nice to have

• n8n or workflow tooling familiarity.
• Background in building or scaling API-driven platforms or extensible systems.
• Hands-on work with agent frameworks, tool use, memory systems, or multi-step reasoning workflows.
• Experience building tools for inspecting, debugging, and improving complex workflows or AI systems.
• Awareness of guardrails, failure handling, and safe automation practices in user-facing AI systems.