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Salary
≈ $38k – $67k per year (Estimated)
Location
In office (Lyon)
Seniority
Middle · 4+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 21, 2026. First seen by Alion on Sep 7, 2026.

Overview
Company
Impact
Profile match
Webnet is a French digital services company specialised in web applications, certified Great Place To Work since 2018. Its job ads seek front-end React and Next.js developers, WinDev and .NET developers, a fullstack LLM developer and an AI product owner in Paris, Lille and Nantes. The company is headquartered in Sèvres near Paris, France.

Rejoignez notre équipe en tant que Product Owner IA. Vous serez responsable de la conception et de la mise en production de produits intégrant des technologies d'intelligence artificielle et de données. Vous travaillerez en étroite collaboration avec des équipes pluridisciplinaires et serez en charge de définir la vision produit, de recueillir et de prioriser les besoins métiers et utilisateurs, et de suivre les cycles de développement en méthodologie agile. Une expérience d'au moins 4 ans en gestion de produits ou en tant que product owner, en particulier sur des produits liés aux données ou à l'IA, est requise.

Missions

  • Définir et piloter la vision produit autour des solutions d’intelligence artificielle, en recueillant et priorisant les besoins métiers et utilisateurs.
  • Rédiger et maintenir le product backlog, les user stories, et travailler en étroite collaboration avec les équipes Data / IA / Engineering.
  • Suivre les cycles de développement en méthodologie agile (Scrum / Kanban), participer à la définition des KPIs produit et à l’analyse de la performance.

Profil recherché

De formation supérieure (école d’ingénieur, université ou équivalent), vous avez au moins 4 ans d’expérience en product management ou product owner et notamment sur desproduits data ou IA.

  • Bonne compréhension des concepts :
    • Machine Learning
    • NLP / LLM
    • Data pipelines

Maîtrise des méthodes agiles

Capacité à dialoguer avec des profils techniques et métiers, esprit analytique et orientation produit.

Environnement technique (apprécié)

  • API IA (OpenAI, Mistral, etc.)
  • Outils data (Python, SQL, notebooks)
  • Jira / Confluence
  • Cloud (AWS, GCP ou Azure)
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