Greenbone AG logo

Product Owner - AI & Cybersecurity Applications (m/w/d)

Greenbone AG
Department:Product Owner
Type:REMOTE
Region:EU
Location:Germany
Experience:Associate
Estimated Salary:€70,000 - €100,000
Skills:
PRODUCT MANAGEMENTAI/ML-BASED PRODUCTSLLMSRAGNLP PIPELINESCYBERSECURITYSAAS
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Job Description

Posted on: May 29, 2025

Who we are

Greenbone is a globally operating company developing open-source solutions for vulnerability analysis and management. Our products protect the digital infrastructures of organizations of all sizes by identifying security issues before they turn into real threats. We operate in a rapidly growing market and are driven by innovation, flat hierarchies, and a culture of openness. Trust, teamwork, and personal growth are central to how we work - as is a healthy work-life balance.

We’re building a new AI-powered add-on for our on-premise vulnerability management solution - starting from a working LLM-based prototype and evolving it into a production-ready product. A small, focused team inside our growing cybersecurity company is leading this effort.

You’ll be the first product hire for this initiative. If you're energized by shaping product direction from scratch, assembling a strong delivery team, and figuring things out fast - this is for you.

Your mission

  • Translate exploration into structure: define the product’s KPIs, break down delivery phases, and prioritize with purpose
  • Represent the customer: talk to users, test assumptions, and own feedback loops
  • Coordinate closely with a senior AI developer and help shape a small, high-performing product team (4–5 people)
  • Coordinate dependencies across product integration and go-to-market efforts

Where we are right now:

  • A working prototype is live and undergoing internal testing
  • Use cases are emerging, with input from pilot users and internal experts
  • Product goals will evolve as we validate demand and feasibility - we’re still exploring where the strongest value lies
  • We're actively hiring a compact core team. You’ll play a key role in shaping this group

What you offer

  • Several years in product management, preferably in early-stage or cross-functional tech teams
  • Experience working on AI/ML-based products (e.g. LLMs, RAG, NLP pipelines)
  • Enough technical fluency to work productively with AI engineers - you don’t need to write the code, but you should understand what the engineers say
  • Strong instincts for customer value and iteration - you know how to test, learn, and adjust fast
  • Bonus: exposure to cybersecurity or SaaS

Why us

  • Opportunity to help shape a growing cybersecurity company
  • Flexible working hours and 100% remote option
  • A motivated and diverse team with an open company culture
  • Flat hierarchies, direct communication, and genuine appreciation
  • 30 days of vacation and an attractive pension scheme
  • Job bike, fitness programs, and corporate health management
  • Comprehensive, ergonomic work equipment - also for the home office
  • Family-friendly environment and a healthy work-life balance

About us

We are looking for people who want to develop their full potential with us. We seek team players who are willing to take on responsibility and share their enthusiasm. Above all, we want you to enjoy your work and want to make a difference! We value diversity and welcome applications from people of all genders, nationalities, ethnic and social backgrounds, religions, disabilities, age, sexual orientation and identity.

Your Application Process at Greenbone

1. Initial meeting with the Talent Acquisition Team (Duration: 30–45 minutes)

2. Interview with the Hiring Manager and Peer (Duration: approx. 60 minutes)

3. Final interview with Department Lead or C-Level (Duration: approx. 60 minutes)

The process may vary slightly depending on the position. For some technical roles, a case study is included between the second and third interview.

We look forward to getting to know you!

If you want to take a look behind the scenes, have a look at our LinkedIn channel or read what colleagues have to say on Kununu.

Originally posted on LinkedIn

Apply now

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