Leading product for an enterprise SaaS platform for consumer and market intelligence, used by Fortune 500 brands, through its shift to AI-first: a rebuilt experience, agentic tooling, a widened data corpus, and a disciplined cost base.

• Simplification, UX: Traced lost enterprise RFPs to ease of use and won board budget for a full experience rebuild, then ran it end to end: an external UX task force, a permanent researcher hired in-house, prototype validation, and a year of continuous increments rather than one big release. Now in commercial activation.
• Simplification, AI: Reset the portfolio from expert-only query syntax to natural language, and shipped the company's first AI agent plus five generative capabilities, cutting analyst turnaround from days to hours for a measured 20% gain at clients including L'Oréal. Established the first LLM evaluation practice.
• Profitability: Led the data-cost workstream on a €4M annual sourcing envelope, cutting consumption on the biggest contract by two thirds, retendering the second, and ending four others.
• Growth: Led the shift from social listening to multi-domain intelligence, unifying social, search, and ratings and reviews on one platform, and opened a headless channel through a production MCP server for decision-makers who never log in. ARR up double digits, deals above €1M.
• Team: Built and now run a nine-person product organisation across four squads, spanning product management, design, product marketing, and product ops.

Drove the SaaS pivot from social listening to market research, opening a new revenue segment through deep integration with Ipsos survey capabilities.

• Market Research Pivot: Drove the SaaS expansion from social listening to market research by integrating Ipsos surveys into the platform.
• Data Quality: Built ML feedback tooling that measurably improved enrichment quality for NLP algorithms at scale.
• Trend Detection: Designed products to identify emerging trends in consumer conversations for enterprise clients.
• Business Impact: Generated 25% of MRR from market research clients through differentiated value propositions.

A 15-person GovTech startup in political and government intelligence: took the core product suite from zero to its first enterprise contracts.

• Zero to one: Inherited ML algorithms that were not yet a product and turned them into a platform: a CRM-style web app, ranking and prioritisation models, and native mobile apps.
• Business Impact: Sold the first enterprise partnerships to major political parties in France, then expanded internationally.

IS transformation project at Agromousquetaires, a major French food group.

• Organized the implementation of centralized IS systems for unified reporting across the group.

Conference talk on harnessing Generative AI for consumer insight discovery, alongside speakers from Meta, GitHub, and Carrefour.

Guest lecturer on AI Product Strategy at Institut Mines-Télécom Business School.