As part of the CODUCT Group, with teams in Germany and Vietnam, ainavio GmbH develops fully automated, AI-based SaaS solutions for retail and e-commerce.
As an AI startup that has already delivered the hardest proof point: product-market fit - from 0 to 1 – we now come to the phase that decides how big this becomes: from 1 to 10. Scaling without losing quality, and professionalizing without giving up the speed of a startup.
Ainavio runs an AI platform for product data automation: raw supplier Excel sheets become optimized, marketplace-ready product data for webshops and marketplaces. We're an international team with locations in Germany and Vietnam — and we're growing steadily: new partners, new customers, new integrations.
Our AI approach: the agentic product data layer
We're not building yet another data editor. At the core of our platform sits a layer of specialized AI agents that handle the product data value chain autonomously — each agent with a clear task, orchestrated into one end-to-end workflow:
an agent that independently lists products on marketplaces
an agent that proactively requests missing data from suppliers
an agent that adjusts and optimizes product images
additional agents for new tasks, integrations, and marketplaces
The exciting — and the hard — part lies in the orchestration: How do agents interlock cleanly? Where does something run fully automatically, and where does a human stay in the loop? How do we ensure quality, reliability, and traceability so customers trust autonomous steps? And how do we keep the system modular so we can extend it agent by agent? These are exactly the questions you'll shape as Product Manager.
Aufgaben
Your role
You own the entire product lifecycle and report directly to the CEO. You're the central bridge between Sales, Support, integration teams, and external partners on one side, and product development on the other.
We already have POs, teams, and processes in place — your mission is to take them to the next level and help drive the professionalization of our SaaS business.
Your responsibilities
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
You raise existing product processes to the next level of maturity — requirements intake, prioritization, roadmapping, release communication — scalable for further growth
You lead and develop the existing POs and teams — sharpening structures rather than reinventing them
You actively shape our agentic product data layer: from discovery of new agents through quality assurance to rollout
You help drive SaaS professionalization beyond the product itself — billing/pricing, customer onboarding, and the operational processes of a mature SaaS company
You work data-driven: you define metrics, validate hypotheses, and justify trade-offs transparently (including a clear "no")
You roll up your sleeves and pitch in hands-on when something isn't working — rather than just delegating
Qualifikation
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
Nice to have
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