Jobs at n8n

Lead the development of n8n's accounting and tax function, including insourcing operations, IFRS conversion, and implementing a new ERP system.

Build and lead a Forward Deployment function to drive enterprise adoption through hands-on deployments, on-site bootcamps, playbooks, and close partnership with product and customer success. Hire and coach FDEs, run 5-day engagements, map stakeholders, create ROI stories, and codify repeatable deployment plays to scale enterprise adoption.

The Staff Software Engineer will enhance n8n's workflow engine focusing on scalability, reliability, and extensibility. Responsibilities include architecting complex event-driven platforms and managing multi-year projects.

The Engineering Manager will lead the Core Platform teams at n8n, overseeing backend and frontend development, mentoring engineers, and ensuring high engineering standards while collaborating with cross-functional teams to drive platform evolution.

Support community-driven development by reviewing community PRs, improving contribution processes, debugging issues, and enhancing documentation. Collaborate with contributors and maintainers for reliable product improvements.

As an AI Product Manager at n8n, you'll develop AI-driven product experiences, coordinate with various teams, and innovate through user-centric design, focusing on AI trust and building.

As a Senior AI Engineer, you will develop AI-powered features, integrating LLM APIs to enhance user workflows while collaborating with teams to ensure reliability and scalability.

Lead enterprise deployments to scale automation: drive adoption, define governance and operating models, map processes, prioritize ROI-driven automation roadmaps, and hand off expansion opportunities while partnering with engineers.

Own and grow a Northern Europe enterprise territory through full-cycle, consultative SaaS sales. Source pipeline, run MEDDIC-based qualification, lead multi-stakeholder technical evaluations, close six/seven-figure deals, maintain CRM hygiene, forecast accurately, and partner with SE/CS/RevOps for expansion. Represent n8n at events and travel to customers as needed.

Lead and scale Core Experience engineering across multiple teams, set technical direction, partner with Product and Design, enable AI-native product development using LLMs, coach leaders, and ensure high-quality, fast delivery and maintainable architecture in a distributed, growth-stage environment.

Design, build, and operate cloud infrastructure for n8n Cloud, focusing on multi-region deployments and security, using Terraform and Kubernetes.

Own and improve Salesforce as the GTM backbone: configure automation (Flows, rules, permissions), design lead-to-quote workflows, support Partner and CS Ops, fix root causes, improve data quality, documentation, and change management to scale revenue operations.

Own technical success for top-tier customers: act as dedicated technical contact, drive platform health and scalability, manage escalations and incidents, coordinate cross-functional responses, and convert customer insights into product improvements and fixes.

As a Senior Growth Engineer, you will enhance growth-critical features, conduct A/B testing, optimize services, and track performance to enhance user acquisition and retention.

The role involves building and shipping end-to-end TypeScript product features, owning fullstack delivery, experimenting with metrics, and maintaining integrations with a strong focus on quality and security standards.

Design, build, and operate cloud infrastructure for n8n Cloud; scale platform for high availability and performance; drive observability, security, and automation; participate in on-call and KTLO work; collaborate cross-functionally and influence architecture and platform strategy.

The Senior Product Designer will lead end-to-end design processes, focusing on complex workflows in an AI orchestration platform, collaborating with teams, and ensuring high-quality user experiences.

Embedded with a product squad as the PMs' dedicated data partner, lead deep cross-product analyses focused on activation and adoption, design and evaluate experiments, improve instrumentation and event taxonomies, surface retention and cohort insights, and translate rigorous statistical analyses into actionable product recommendations.