Stage - Customer Support IA (AI)

TL;DR

Stage - Customer Support IA (AI): Designing and producing educational content and optimizing knowledge bases for an AI-powered Digital Agent with an accent on multimedia content creation and content architecture. Focus on bridging training gaps, leveraging AI-driven analytics, and ensuring seamless self-service for users.

Location: Bordeaux, France

Company

Global leader in marketplace innovation providing an enterprise marketplace solution for B2B and B2C organizations.

What you will do

• Design and produce engaging multimedia content (videos, e-learning, written documentation) using tools like Guidde, Mindsmith, Veed, Paligo, and Confluence.
• Structure and optimize content architecture and metadata to feed the Digital Agent for autonomous issue resolution.
• Identify training requirements and content gaps by engaging with internal teams and external users.
• Leverage AI-driven analytics to track learner engagement and dynamically adapt materials.
• Collaborate with Product experts, Technical teams, and Customer Success to ensure accuracy across all knowledge sources.

Requirements

• Currently pursuing a degree in Communication, Content Design, Knowledge Management, Digital Learning, Technical Documentation, or a related field.
• French: Native or fluent required.
• English: B2 minimum required.
• Technical proficiency with multimedia and documentation tools.
• Strong organizational skills and attention to detail.
• User-centric mindset with a focus on learning impact.

Nice to have

• Experience in video production, multimedia content creation, or technical documentation writing.
• Eagerness to explore and implement AI technologies.

Culture & Benefits

• Collaborative environment guided by values of teamwork, efficiency, and excellence.
• Culture of continuous learning and expertise sharing.
• Opportunity to accelerate career growth alongside ambitious colleagues.
• Exposure to a global ecosystem of 450+ marketplaces.

Hiring process

• CV screening followed by a 10-minute AI-powered screening conversation with Emma.
• Introductory call with a recruiter.
• Two structured interviews with the manager and team using the STAR method.