AI Product Owner – Conversational AI

🕒 il y a 1 mois

🇩🇪 Allemagne – Télétravail

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

✅ Responsable Produit

👻 Score fantôme 17%

infoinfo

🗣️🇩🇪 Allemand requis

🗣️🇺🇸🇬🇧 Anglais requis

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Logo of zvoove

zvoove

501 - 1000 employés

👥 RH Tech

☁️ SaaS

🤖 Intelligence artificielle

HR Tech • SaaS • Artificial Intelligence

zvoove est une entreprise SaaS axée sur le cloud qui propose des solutions complètes pour les prestataires de services de personnel (Personaldienstleister) et les services de nettoyage/installation. Sa plateforme (zvoove One et des produits modulaires comme zvoove Payroll, Recruit, Cockpit, Documents, Analytics et APIs) couvre le recrutement/ATS, la planification/disposition, la saisie des temps, la facturation, la paie, la gestion des documents, le reporting et la conformité ; elle propose également des services gérés (Managed Payroll, Managed Sales) et des agents AI intégrés (zAIn) pour automatiser les flux de travail tout en respectant le RGPD et l'AI Act de l'UE. L'entreprise met l'accent sur la transformation digitale B2B pour les sociétés de travail temporaire, revendique plus de 6 500 clients corporate et plus de 100 000 utilisateurs, et se concentre sur la croissance, la stabilité opérationnelle et l'optimisation financière pour ses clients.

Description

• Project management – Transformation & AI strategy • Independently plan, manage and execute strategic AI and transformation projects (end-to-end) • Demand planning and initiation: requirements gathering, business case development, resource and capacity planning • Stakeholder management: identification, analysis and targeted communication with all relevant internal and external project stakeholders • Risk management: systematic identification, assessment and control of project risks, including escalation and mitigation planning • Creation and maintenance of project structure plans, milestone plans and status reports • Responsibility for the roadmap of our conversational AI solutions (e.g., chatbot/voice-bot systems) • Prioritization, backlog maintenance and sprint planning using agile methods (Scrum, Kanban) • Functional leadership of interdisciplinary teams from development, CRM and external service providers • Facilitation of workshops, decision-making processes and sprint ceremonies • Planning and conducting user testing for early insights and iterative improvements • Identification and evaluation of new use cases for conversational AI and automation • Definition of requirements together with development teams, realistic estimation of effort and technical feasibility • Quality assurance, testing and coordination of go-live processes • Independent implementation of hosting and deployment of AI tools and prototypes on Microsoft Azure • Version control and collaboration on code via Git/GitHub – including branching, reviews and releases • Hands-on use of Claude Code for developing, automating and ensuring quality of technical solutions • Preparation and transition of proofs-of-concept into production-ready, hosted applications • Technical interface between product ownership, the development team and IT infrastructure

🎯 Exigences

• Relevant experience as a Product Manager/Product Owner, ideally with a focus on software- or AI-driven products • Alternatively: experience in management consulting or in the tech sector with a strong focus on digitalization, data or AI • Solid knowledge of agile project management (Scrum, Kanban) • Strong technical understanding of artificial intelligence/machine learning to realistically assess use cases and steer development teams effectively • Experience in stakeholder management as well as in facilitating workshops and decision-making processes • Microsoft Azure: practical experience with hosting and deployment (e.g., App Services, Functions or comparable services) • Git/GitHub: confident handling of version control, branching, pull requests and CI/CD pipelines • Claude Code (or comparable AI-coding agents): hands-on experience in practical application for development and automation • Basic understanding of LLMs, RAG architectures, NLP and prompt engineering to realistically assess feasibility and effort of conversational AI use cases • Ability to translate qualitative and quantitative data into well-founded decisions • Hands-on mentality, rapid iteration and strong results orientation • Excellent communication and presentation skills (fluent in German & English) • High initiative, entrepreneurial thinking and enjoyment of taking responsibility in flat hierarchies • Fluent German and English skills.

🏖️ Avantages

• Collaboration within an empathetic and appreciative team • Opportunity to apply your knowledge and personal strengths, further qualify and develop • You will start with a structured onboarding and learn on the job, in trainings or in informal learning formats (e.g., zvoove Garage) in interdisciplinary and international teams • You have the opportunity to participate in the advantages of our hybrid work concept, which includes working at the office, from home, mobile work and workation • Modern tech stack and agile working methods are a given • A variety of benefits such as retirement provision, health management and employee discounts • Well-behaved dogs are welcome at all locations

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