AI Tech Product Manager

Europ Assistance Holding is hiring!

About

En 1963 est créée en France la société Europ Assistance, à l'origine du concept de l’assistance aux voyageurs.

Aujourd'hui, Europ Assistance est un groupe international et un opérateur mondial de services d’assistance aux personnes dans les domaines voyage, de la mobilité et du service à la personne.

Filiale à 100% du groupe Generali, Europ Assistance est présent dans plus de 34 pays dans le monde. 

Grace à nos 12 000 collaborateurs, nous réalisons un chiffre d'affaires de 3 milliards d'euros.

Europ assistance est en forte croissance et accélère sa transformation digitale pour accroitre sa compétitivité tout en conservant l'ADN dont nous sommes fiers: simplifier la vie de nos clients et les aider en toute circonstance!

Europ Assistance est engagé dans l'inclusion et la non-discrimination. Nous agissons ainsi quotidiennement en faveur du handicap, des seniors, de la mixité sociale, de l'égalité entre les femmes et les hommes. Nous recrutons avant tout des compétences et des personnalités et la diversité au sein de nos équipes est un enjeu majeur car elle est source d'innovation et de performance.

Nous offrons un espace de travail privilégié, en flex office, dans le quartier d'affaires du Stade de France (à 400m de la station RER D Stade de France).

Job Description

Job Description

To accelerate its AI & Digital Transformation, Europ Assistance is looking for an AI Tech Product Manager, who is first and foremost a builder.

Reporting directly to the Global Head of AI and Automation, you will spot high‑impact opportunities across our businesses and prioritize what truly matters.
You will be responsible for the entire life cycle of innovation, from designing and prototyping AI solutions to driving end-to-end product delivery.
 
This is a highly collaborative role where you will coordinate international business stakeholders, AI engineers and IT/Infra teams to turn complex technical concepts into tangible results.

Responsibilities:

Product Discovery & Strategy

• Uncover Opportunities : Conduct deep-dive interviews and workflow mapping to identify high-impact AI use cases.

• Prioritization: Own the AI roadmap, balancing technical feasibility, business risk and strategic value.

Rapid Prototyping & Technical Design

• Build E2E Solutions : Prototype end-to-end AI solutions using a hybrid approach, leveraging both low-code platforms (e.g. Microsoft Copilot Studio, Cognigy) and custom Python development on Azure/AWS clouds, using modern AI frameworks (Pandas/NumPy, LangChain/LangGraph, Strands Agenst, AutoGen…).

• Architect for Scale : Define the functional architecture and KPIs, ensuring every solution is robust, secure and ready to be industrialized.

End-to-End Delivery Leadership

• Lead Projects’ Squads: Coordinate Business Stakeholders, AI Engineers, Data Scientists and IT/Security teams to ensure seamless deployment on the

Group AI Platform

• Outcome Ownership : Define success metrics and translate complex technical performance into clear, actionable updates for non-technical stakeholders.

AI Thought Leadership

• Stay Ahead : Monitor the frontier of GenAI and Agentic workflows, moving cutting-edge research from "paper to production".

• Educate : Act as a consultant to business units, helping them navigate emerging AI risks and opportunities.

Preferred Experience

Who You Are

  • A "Builder" Mindset : You are proactive and thrive in ambiguity. When you see a problem, your first instinct is to prototype a solution.

  • The Translator : You can discuss vector databases with engineers in the morning and business ROI with executives in the afternoon.

  • Influence without Authority : You lead cross-functional teams through expertise and collaboration rather than just a reporting line.

  • You are comfortable in a multicultural environment and possess C1 English proficiency.

Your Professional Toolkit

  • Education : Master’s degree or higher in Computer Science, Engineering, Mathematics or a related field.

  • Experience: 5+ years in software/AI. Must have 2+ years of hands-on AI deployment (Deep Learning, LLMs, Agentic AI) and 2+ years in AI Product/Project Management.

  • AI Stack : Deep proficiency in Python and modern AI Stacks (Pandas/NumPy, Agentic Frameworks like LangChain, LangGraph, Strands Agents, AutoGen…)

  • Models & Cloud : Hands-on experience with major LLMs (GPT, Claude, Llama) and fluency in Azure/AWS environments.

  • Low-Code/Ops : Experience with Microsoft Copilot Studio/ Power Automate. Proficiency in Power BI for KPI tracking. Experience with Cognigy and/or AmazonLex is a plus.

Recruitment process

Technical - N+1 - HR - N+2

Additional Information

  • Contract Type: Full-Time

  • Location: Saint-Denis

  • Education Level: Master's Degree

  • Experience: > 5 years

  • Possible partial remote

Additional Information

  • Contract Type: Full-Time
  • Location: Saint-Denis
  • Possible partial remote