AI Product Manager

Requirements

We’re open to different experience levels, but the bar on AI depth, product taste, and builder energy is high.

Must-haves

• 🤖 AI-native by default: you use tools like Claude Code, Cursor, Lovable, n8n, or similar regularly, and you follow the AI product space closely.
• 🧱 Product Management track record: You have successfully shipped real AI products, serious prototypes, public projects, agent workflows, eval suites, or tools used by real people.
• 🧪 Eval practice: You’ve built or meaningfully shaped evals, not just talked about them.
• 🛠️ Harness literacy: You understand tool loops, planners, scaffolding, context management, and the practical constraints of agentic systems.
• 🎯 Strong product instincts: You think clearly about trade-offs, user value, product quality, and what should or should not be built.
• 🎨 UX taste: You know what good looks like and what beautiful UX feels like. You can explain why one product feels great and another feels off.
• 🧭 Comfort with ambiguity: You bring order to chaos, structure fuzzy problems, and make progress when there are dozens of possible directions.

For more senior candidates, we’ll also look for

• 🚀 Shipped AI in production: Real LLM or agent features, real users, real failures you learned from.
• 🎯 0-to-1 product ownership: You’ve owned ambiguous product areas from problem discovery through launch and iteration.
• 📊 Data fluency: SQL, funnels, product metrics, and healthy skepticism of what metrics do and do not tell you.
• 🤝 Influence without authority: You can align engineering, design, data, and go-to-market teams around complex product decisions.

For earlier-career candidates, we’ll especially value

• ⚡ High slope: you learn fast, ship fast, and raise the quality bar quickly.
• 🪶 Low PM baggage: you’re not overly attached to how PM “should” be done.
• 🔬 Deep AI tinkering: you’ve built or seriously experimented with non-trivial AI projects, even if they were solo or side projects.
• 👀 Visible building: public demos, writing, talks, open-source work, or other proof that you learn by making.

Nice-to-haves

• 🔌 Workflow automation, orchestration, or developer tooling background.
• 🌐 Open-source and community experience.
• 🌱 Founding or early-stage background.
• 💻 Coding background.
• 📈 Growth experimentation experience.
• ✍️ Public writing, talks, or visible building.

n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.

We can sponsor visas to Germany; for any other country, you need to have existing right to work.