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Salary
$44k – $67k per year
Location
Hybrid (Paris, France)
Seniority
Staff · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 15, 2026. First seen by Alion on Sep 23, 2026.

Overview
Company
Impact
Profile match
Yield Studio is a Paris development studio that designs and builds web and mobile applications for start-ups and established companies. It works in short product cycles with a mixed design and engineering team. The studio publishes openly about its craft and pricing.

Rejoins Yield Advisory, une entreprise spécialisée dans l'accompagnement des grandes entreprises dans leur transformation digitale. En tant que Product Manager Data & IA, tu seras en première ligne pour cadrer, prioriser et piloter des produits data et IA à fort impact business. Tu feras le lien entre les besoins métiers, les utilisateurs finaux et les équipes data, IA et tech.

Missions

  • Identifier et prioriser les cas d'usage Data et IA à fort impact business, définir une vision produit claire et construire des roadmaps réalistes.
  • Cadrer les problèmes utilisateurs et métier avant de chercher la solution technique, mener la discovery et prototyper rapidement pour valider les hypothèses.
  • Garantir que les produits data et IA livrés vivent dans la durée, structurer les boucles de feedback spécifiques et piloter le delivery avec une vision Lean.

Profil recherché

* Minimum 3 à 5 ans d'expérience produit, dont au moins un projet structurant en tant que Data PM, PM IA, PO Data ou Data Analyst avec ownership produit.

* Tu sais ce qu'est un produit data ou IA qui vit dans la durée, pas un projet one-shot qui meurt après le COPIL.

* Tu maîtrises les fondamentaux business (ROI, P&L, go-to-market) et produit (UX, tech, data).

* Tu es capable de parler aussi bien modélisation de données et architecture IA que priorisation métier et adoption utilisateur.

* Tu connais les enjeux data : qualité, interopérabilité, documentation, accessibilité, gouvernance.

* Tu comprends les modèles ML et LLM sans être data scientist pur. Tu sais arbitrer build vs buy, RAG vs fine-tuning, agent vs workflow.

* Tu utilises l'IA au quotidien comme un power user (Claude, ChatGPT, Copilot, agents, outils de prototypage).

* Excellent relationnel et contact client. On doit avoir envie de te staffer sur la prochaine mission.

* Tu communiques aussi bien à l'écrit qu'à l'oral, en français comme en anglais.

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