Lead and develop multiple engineering teams across Core Experience
Design the organization for scale across a multi-team area that includes established product surfaces and a growing cluster of AI-focused teams.
Foster a high-performance, high-ownership culture where engineers can do ambitious work, grow quickly, and stay closely connected to product impact.

Set technical direction across your area, helping teams make sound architectural decisions and trade-offs.
Partner closely with Product, Design, and Engineering leadership to translate strategy into clear priorities and execution.
Ensure teams deliver meaningful outcomes with the right balance of speed, quality, and long-term maintainability.

Support and guide teams building AI-powered product experiences, especially where we are harnessing LLMs in the product.
Bring informed judgment to the opportunities and pitfalls of AI product development, helping teams move proactively and responsibly.
Help shape how n8n builds products that both leverage AI internally and enable customers to build powerful AI workflows and agents themselves.

Create the conditions for teams to operate effectively through growth, ambiguity, and changing priorities.
Coach leaders and teams toward strong execution, healthy collaboration, and consistently high engineering standards.
Represent the Core Experience area within the broader engineering leadership team and align its direction with company goals.

Engineering leadership at scale: Several years of experience leading multiple engineering teams and directly managing Engineering Managers in a high-growth product organization.
Technical strategy and roadmap ownership: Ability to set direction across a broad product area and turn technical strategy into clear priorities and outcomes.
Strong technical credibility: Strong engineering background with the ability to contribute to architecture discussions and technical decision-making.
Coaching and people leadership: Proven track record of developing leaders and helping teams grow in performance and ownership.
Product engineering experience: Experience leading product engineering teams in a fast-moving SaaS environment.
AI product exposure: Experience working on AI-native products or leading teams building AI-powered product experiences.
Distributed leadership experience: Comfortable leading teams across countries in a remote-first environment.
Execution and quality mindset: Ability to build systems that improve delivery and maintain long-term quality.

Director of Engineering