AI Engineering Manager

Build an empowered, high-performing AI agent & evaluation team:

• 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.
• Support hiring and team shaping with a focus on AI engineering, distributed systems thinking, and product-minded builders.

Create clarity in an agentic, fast-evolving landscape:

• 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.
• Guide decisions around agent architecture (e.g., single-agent vs multi-agent workflows, tool selection, memory strategies, human-in-the-loop design).

Drive execution of agentic workflows at scale:

• 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.
• Establish best practices for workflow reliability, including retries, fallbacks, guardrails, and observability of agent behaviour.