Freelancer profile translated to English.
Back to original languageAbout Adam
At Bedrock Streaming (M6+, RTL+), I led the construction of the internal AI platform and AI adoption for 500 people: 10 agents in production, 90% of initiatives integrate AI. Before that, PM at Groupe SeLoger and Pernod Ricard, 6 years as a consultant at EY (pharma, insurance, public administration, logistics). DU in Artificial Intelligence, University of Paris I. I am looking for missions focused on AI platforms or AI adoption in tech organizations.
French
Native or bilingual
English
Native or bilingual
Can work on-site
Paris (up to 10km)
Experience
- Sorbonne UniversitéSpeaker • AI Product ManagementEDUCATION AND E-LEARNINGOctober 2025 - Today (9 months)Paris, FranceDesign and delivery of the transversal skills module for two annual cohorts of ~100 data scientists. Four progressive sessions: productivity through AI, data storytelling, product management, practical prototyping and pitching session.
- Bedrock StreamingSenior Product Manager • AI PlatformSOFTWARE PUBLISHINGMarch 2025 - Today (1 year and 4 months)Paris, FranceBedrock Streaming operates the streaming platform for M6+, Videoland, and RTL+.1. Build the internal AI platform
- Define the platform's vision, architecture, and roadmap (centralized gateway, Okta authentication, agent-based observability, MCP marketplace), coordinating dependencies with DevOps, data, and security teams.
- Design the end-to-end process from idea to production: use case collection, RICE prioritization, agent-by-agent specification, coordination with data scientists and engineers, evaluation, and post-deployment monitoring.
- Define and structure the internal AI marketplace (MCPs, skills, agents), accessible via CLI, with evaluation of components before integration.
2. Ensure AI adoption- Integrate AI at every stage of discovery practices through a standard of 4 AI artifacts per initiative: prototype, knowledge base, in-depth research, personalized assistant.
- Train teams and manage change: AI prototyping (v0, Bolt, Lovable), automation (n8n), coding agents (Cursor, Claude Code), from legal and security framing to integration into daily practices.
- Structure a network of 60 AI champions using a discovery/delivery model: cutting-edge experimentation, dissemination of validated results throughout the organization.
3. Identify and test AI opportunities- Conduct discovery sessions with each product manager (content discovery, recommendation, advertising), evaluating each opportunity against explicit criteria: build vs. buy, time to value, effort.
- Formalize AI-specific frameworks: use case collection, RICE prioritization, transition from experimentation to deployment.
- Design and deploy the tiger team model via pollination: temporary integration into product teams, AI training in their practices, skill transfer, and transition to autonomy.
- Groupe SeLogerLead Product ManagerREAL ESTATEJuly 2022 - February 2025 (2 years and 7 months)Paris, FranceI managed a team of 3 product managers and led three major projects in the Experience Platform domain.1. Manage and develop a PM team
- Managed 3 product managers, each responsible for a cross-functional team (~5 developers and testers), with individual follow-up on discovery, delivery, and stakeholder management.
- Developed a results-oriented product culture: shifted from a feature delivery mindset to approaches aligned with OKRs.
- Defined and communicated the vision, strategy, and roadmap for the Experience Platform domain to technical, design, and business teams.
Results: Three teams refocused on results rather than features. More rigorous discovery, grounded in data and user feedback. Faster and more predictable delivery cadences.2. Lead three product initiatives- Designed and launched a self-service ad publishing platform for real estate agencies: from ad creation to automated payment via Stripe, scope arbitrated with stakeholders for an MVP delivered in 3 months.
- Finalized the migration of the legacy CRM to Salesforce (the remaining 20%, the most complex): redesigned processes in workshops with users, specifications for three development teams with different cycles, bi-weekly governance framework.
- Designed and deployed an inflation adjustment system across all contracts: analyzed system dependencies, conducted exhaustive testing before deployment, real-time monitoring.
Results: Self-service: €60K monthly revenue from launch, with no marketing or sales effort. CRM migration: complete decommissioning in December 2022, zero critical incidents. Inflation: zero major incidents, reusable solution for annual cycles.
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Education
- University Diploma in Artificial IntelligenceUniversity of Paris I Panthéon-Sorbonne2026Diplômé d'une formation intensive en Intelligence Artificielle et Data Science à Paris I Panthéon-Sorbonne, axée sur le machine learning avancé, le deep learning, l'IA générative et les MLOps. Le cursus a couvert l'ensemble du pipeline data science, de la gestion et de la visualisation des données jusqu'au déploiement en production, avec des projets pratiques en Python, Spark, cloud computing et développement d'agents IA.
- Engineering DegreeArts & Métiers ParisTech2015Diplômé de l'une des meilleures écoles d'ingénieurs françaises, avec une spécialisation en industrialisation et génie mécanique et une formation approfondie en conception et développement de produits, du concept initial à la production industrielle. Cette approche pratique de la création de produits et de l'innovation a posé les bases de ma passion pour la construction de produits à fort impact, incluant des applications concrètes comme la conception de systèmes de freinage d'avions et de moteurs électriques pour véhicules.
Certifications
- AI Agents FundamentalsHugging Face2025
