Product Manager
Vor 7 Tagen
- Technical or economic-technical degree and strong entrepreneurial thinking
- Very smart, engaging, and structured, with strong analytical skills
- You plan precisely and think in systems, but can also deliver scrappy and pragmatically when it matters
- You bring proven product and delivery frameworks to the table, but confidently adapt them to a dynamic, heterogeneous environment
- Strong product thinking: identifying generalizable solutions from individual cases and translating them into marketable products
- Strong project management and excellent communication skills with a wide range of stakeholders
- Business-fluent in German and English
- Based in Munich or nearby and motivated to go all-in with us
- Competitive compensation
- Mentorship & fast learning curve in a high-impact AI-Startup environment
- Flat hierarchy, direct access to founders, fast decisions
- Hybrid setup possible (Munich HQ)
- EGYM Wellpass
Manex AI is developing a LLM-native data platform for agentic production control. Industry leaders such as BMW, Audi, BSH, Stellantis, Liebherr, Still, TDK Electronics, and Henkel already rely on Qualitatio, and leading investors such as Lightspeed Venture Partners and BlueYard Technology are backing Manex AI. Our vision is to operate factories fully autonomously with the help of Qualitatio.
With Manex AI, you will join one of the fastest-growing industrial AI scale-ups, where your expertise will be valued from day one, your personal growth will be encouraged, and you're given full autonomy and responsibility for your decisions.
As Product Manager at Manex AI, you will work closely with Design and our CPO, translate our vision into concrete roadmaps, and deliver measurable results. You will take responsibility for the operational alignment of the product and coordinate its precise implementation.
- You are enthusiastic about our vision, can convey this enthusiasm to internal and external stakeholders, and explain in detail how our product works and what added value it creates
- You will be responsible for delivery management, taking end-to-end ownership of projects and initiatives
- You plan roadmaps, reliably adhere to timelines and commitments, and ensure clean delivery
- You understand complex LLM-based systems and work closely with AI engineers to make technically sound product decisions
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