I'm a Product Marketing and Strategic Programs leader with 15+ years of experience helping B2B SaaS companies scale.

I work at the intersection of Strategy, Product, GTM and AI, turning complex business challenges into practical systems, frameworks and tools.

After a decade at Akeneo, where I built the Product Marketing function from scratch and drove €25M+ in ARR impact across GTM programs, I'm now exploring how AI can accelerate Product Marketing, Competitive Intelligence and strategic decision-making.

🔭 Building AI-powered tools for Product Marketing, GTM and Strategic Operations.

🌍 Portfolio → https://laurebrosseau.com

💼 Open to Senior Product Marketing, Strategic Programs and Chief of Staff opportunities.

Most of my career has been spent leading Customer Support, Product Marketing and Strategic Programs rather than building software.

Today, I'm combining that experience with AI and modern development tools to build practical tools that help Product Marketing, GTM and Strategy teams research faster, automate repetitive work and make better strategic decisions.

This repository collection will grow over time as I publish new projects and experiments.

A framework and AI prompts to turn raw competitive data into a sales-ready battle card in a few minutes.

I built this to solve a problem I lived first-hand running Akeneo's win-loss and competitive intelligence program: battle cards take too long to produce and go stale fast. This tool gives sales and PMM teams a structure to follow, so the output is consistent and reusable, not a one-off deck.

🔗 Repo: https://github.com/LaureBrosseau/battlecard-generator

An AI skill that creates one or more buyer persona profiles without running interviews.

The skill synthesizes job postings, analyst reports, product documentation, forums and reviews into a clear, one-page buyer persona. It is meant for teams who need a solid first draft fast, before validating it with real customer interviews.

🔗 Repo: https://github.com/LaureBrosseau/buyer-persona-builder

An AI skill that turns raw, fragmented CRM and deal data into structured Win-Loss analysis, competitive insights, and interview priorities, with data quality checks, AI-assisted enrichment, and human validation built into the workflow.

🔗 Private repo

A Product Marketing-driven analysis of the enterprise React UI components market: comparing MUI X, AG Grid and Bryntum on positioning, trade-offs and build vs buy decisions.

I built this as a technical exercise, to show both my technical skills and my PMM skills on a single project. I also wanted to understand how an AI model actually chooses one tool over another when asked to compare options: what it weighs, what it prioritizes, and where its recommendation can be biased or incomplete.

The output is a tool any PMM, product manager or engineering lead can reuse to structure their own build vs buy decision, not just for UI libraries.

🌐 Live demo: https://laurebrosseau.github.io/react-ui-components-comparison/

I'm currently working on projects around:

• AI for Product Marketing
• Competitive Intelligence
• Customer Research
• AI-powered decision support

🔭 Building practical AI-powered tools for Product Marketing and Strategic Operations.

🤖 Exploring how AI can augment Product Marketing, GTM and Strategy teams

🚀 Open to Senior Product Marketing, Strategic Programs and Chief of Staff opportunities

📍 Based in Anglet, France • Remote • Regular travel across Europe

Interested in my work? Let's connect on LinkedIn.