Senior Product Manager (Enterprise)

present of AI

Berlin

Hybrid

EUR 120,000 - 180,000

Full time

5 days ago
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Job summary

N8n is seeking a senior product leader for its enterprise automation platform. You will steer the product direction for safe, scalable AI-driven workflows, balancing security and reliability with usability and governance.

You will collaborate with sales, design and engineering to deliver trusted enterprise features. Working on AI-enabled workflows, you will emphasize governance, rollback, monitoring, and multi-instance visibility while guiding teams towards reliable deployment patterns and

Qualifications

  • Candidate has shipped complex technical products to enterprise customers.
  • Understands how engineers build and run software.
  • Can balance usability, security and reliability while aligning sales, design and engineering.

Responsibilities

  • Owns product direction for enterprise automation platforms.
  • Shapes versioning, rollback, and governance features for safe live use.
  • Ensures visibility into how workflows run across multiple instances.

Skills

Git and versioning
Secrets and access control
Observability/monitoring
Cross-team alignment

Tools

Git

Job description

This role owns the product direction for the enterprise side of n8n, with a focus on how teams move automations from testing into live use safely. That covers version history, rollback, Git-based workflows, secrets handling, and visibility into how workflows run across several instances. A strong candidate has shipped complex technical products to enterprise customers, understands how engineers build and run software, and can weigh tradeoffs between usability, security, and reliability while bringing sales, design, and engineering together.

How it fits the AI era

As AI agents and automations move into business-critical work, they need the same care as any other software: tracked changes, safe releases, and clear monitoring. This role sits right at that need, shaping the tooling that keeps AI-driven workflows dependable at scale. What stays human is the judgment about what to build first, the listening to customers whose risks and constraints differ, and the call on where reliability matters more than speed.

How it builds AI experience

Working on a platform where teams build AI agents and automations gives close exposure to how companies run AI in production, including governance, rollback, and monitoring of agent-based workflows. Candidates can prepare by building a few workflows in n8n, including one that uses an AI step, and noting what would break or worry an enterprise team. That hands-on view makes product conversations about reliability much more concrete.

Worth showing
  • Git and versioning product knowledge
  • Secrets and access control understanding
  • Observability or monitoring product work
  • Cross-team alignment without authority

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.

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