Senior Product Manager - Core Platform (Engine, Scale & Reliability)

present of AI; Berlin; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

n8n is seeking a product leader to own the core workflow engine, focusing on performance, scalability, and reliability across cloud and self-hosted environments. You will partner with senior engineers on distributed systems and drive cross-team migrations carefully.

The role values strong technical communication, and the ability to justify trade-offs to both engineers and executives, with a track record of guiding complex platform initiatives.

Qualifications

• Several years in product management, with a strong stretch on infrastructure or developer-facing products.
• Experience leading risky cross-team work such as migrations or breaking changes.
• Ability to explain trade-offs clearly to technical and non-technical colleagues.

Responsibilities

• Own the engine that runs workflows, its scaling, and reliability in cloud and self-hosted setups.
• Collaborate with senior engineers on distributed systems and platform issues.
• Lead cross-team initiatives and communicate trade-offs effectively.

Skills

Distributed systems

Infrastructure product

Technical communication

Job description

This role owns the foundations of n8n's platform: the engine that runs workflows, how it scales, and how reliably it behaves in both cloud and customer-run setups. A strong candidate has several years in product, with a good stretch on infrastructure or developer-facing products, and can hold their own with senior engineers on distributed systems. They also bring a record of leading risky cross-team work, such as a migration or breaking change, and can explain trade-offs clearly to technical and non-technical colleagues.

How it fits the AI era

AI agents and automations all run on the same engine, so the speed, stability and safety of that engine decide how well the AI features work for customers. AI tools can help with drafting specs, analysing usage and exploring options faster. Judgment about trade-offs, earning trust from engineers and enterprise customers, and deciding what foundational work comes first stay human.

How it builds AI experience

The role gives close exposure to what it takes to run AI agent workloads in production, including scaling execution, handling failures and isolating code safely. Because internal teams building AI features depend on the platform, there is a direct view into their needs. To build relevant experience beforehand, try building a few agent workflows in n8n and note where reliability or scale becomes a problem.

Worth showing

• Distributed systems trade-off reasoning
• Platform or infrastructure product wins
• Led a migration or breaking change
• Working with enterprise self-hosted setups
• Clear written technical communication

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About N8n