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Product Manager, Agentic AI

cube · Berlin

New
Hybrid 🇬🇧 English
AI assistants LLMs Agentic tooling

Job description

About the role

We’re looking for a Product Manager based in Berlin who is passionate about agentic AI – systems where models reason, act, and learn autonomously. You should have experience building AI applications and a solid product management background. The role involves full ownership of new Agentic products, from discovery to launch and iterative improvement.

Key responsibilities

  • Own the product area end‑to‑end, from understanding the problem to delivery, launch, and iteration.
  • Conduct discovery interviews, analyze usage data, and develop evidence‑based product decisions.
  • Prototype ideas early using AI‑generated prototypes or other methods to test assumptions quickly.
  • Leverage AI and agentic tooling to accelerate research, prototyping, and requirements gathering.
  • Define success metrics upfront and track them through delivery.
  • Collaborate daily with engineering, design, and customer teams, unblock issues, and coordinate launches, enablement, and go‑to‑market.
  • Communicate product plans and progress to stakeholders and leadership, defending prioritisation decisions.

Required profile

  • Builder mindset with bias to action: prototype, test, and ship quickly, making decisions with incomplete information.
  • Fluency with AI assistants, large language models (LLMs), and agentic tooling, and ability to champion their adoption.
  • Product management experience in B2B SaaS, enterprise software, or technology platforms with a track record of owning and shipping products.
  • Proven ability to work effectively with engineering, design, and commercial teams in an agile, multi‑stakeholder environment.
  • Comfort with data‑informed decision‑making: defining metrics, analysing performance, and prioritising based on evidence.

Required skills

  • AI assistants
  • LLMs
  • Agentic tooling

What we offer

  • Amazing office with great location, gym, rooftop pool & sauna.
  • Many events and a hybrid work environment.

Questions fréquentes

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Source : ats:ashby

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Published 14 hours ago

Expires 1 month from now

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cube

Berlin