Senior Product Owner / Product Manager - AI / SaaS (m/f/d)

About This RoleAI processing…

Key Responsibilities

• 1
  You capture requirements from Sales, Support, integration teams, and external partners in a structured way, challenge them, prioritize, and translate them into a clear roadmap
• 2
  You raise existing product processes to the next level of maturity — requirements intake, prioritization, roadmapping, release communication — scalable for further growth
• 3
  You lead and develop the existing POs and teams — sharpening structures rather than reinventing them
• 4
  You actively shape our agentic product data layer: from discovery of new agents through quality assurance to rollout
• 5
  You help drive SaaS professionalization beyond the product itself — billing/pricing, customer onboarding, and the operational processes of a mature SaaS company
• 6
  You work data-driven: you define metrics, validate hypotheses, and justify trade-offs transparently (including a clear "no")
• 7
  You roll up your sleeves and pitch in hands-on when something isn't working — rather than just delegating

Requirements

• Native-level German speakers
• Several years of experience as a Product Manager in SaaS/B2B , ideally in the scaling phase ("1 to 10") and real-world experience in building AI products
• Demonstrable end-to-end ownership of the product lifecycle (discovery to iteration)
• Experience building and professionalizing scalable product processes
• Experience leading and developing product/engineering teams, ideally distributed and international (in our case: Germany & Vietnam)
• Genuine understanding of and enthusiasm for AI agents, with a feel for how to design a product around orchestrated, modular agent systems (interplay, human-in-the-loop, quality assurance, reliability)
• AI tools firmly embedded in your own daily work — you actively shape how product work and software development are fundamentally changing
• Confident communication on equal footing with the CEO and leadership
• E-commerce ecosystem: webshops (Shopify, Shopware) and marketplaces (Amazon, eBay, otto) including their data requirements
• Knowledge of product data standards (PIM, BMEcat, ETIM, GS1)
• Technical depth to engage with engineering on equal footing
• Experience with ML/LLM products and handling non-determinism & quality assurance
• Experience with SaaS operations: billing/subscription systems, pricing models, onboarding flows
• Experience building partner/integration ecosystems
• Experience coaching/mentoring POsComfort with ambiguity and rapid change in a scale-up

Perks & Benefits