Bridging Investment Thesis & Execution.
Ten years at Microsoft, seven years at Google, then three CPO mandates in PE and VC-backed scale-ups. I work alongside Private Equity and Venture Capital funds to turn technology and product into a genuine value creation lever, from deal to exit.
Operating Partner specialized in Tech: M&A, Product Discipline, technical debt, complex multi-product portfolios, with a Supply Chain Risk Management (SCRM) vertical, built as Group CPO at OnceForAll. My clients: Private Equity funds, and CEOs directly, as an operational sparring partner.
Ten years at Microsoft (Sales Engineer → Global Presales), seven years at Google (Cloud, ISV Partnerships EMEA & APAC). The codes of structured reporting, governance and execution at international scale, across France, the US, EMEA and APAC.
Co-founder CPO at LumApps (ARR x10 in two years), SVP/GM at Virtru in Washington DC, then Group CPO of a PE-backed ConTech buildup, leading to a GTCR exit above €130M ARR. Eight consecutive M&A integrations, 21 legacy platforms rationalized into 2 to 3 solutions.
"Don't audit the code. Validate the scalability of the asset."
"Turn a Buy & Build strategy into one coherent, profitable operating structure."
"Immediate leadership to transform, not just to hold the seat."
"Align tech strategy and financial performance to maximize the exit."
"A SCRM tool is no longer diligenced as a compliance line item. It is diligenced as financial risk infrastructure, and its moat is built by data and network, not by features."
This is the framework I built to read a product asset as an actively managed financial asset: Organizational Efficiency, Retention Quality, Margin Resilience, Moat Defensibility. Published in my white paper Product Alpha Scorecard, it's the reading grid I apply pre-deal, in quarterly portfolio reviews, and in exit preparation, 18 to 24 months before the sale.
Three of the four axes, Efficiency, Margin, Moat, carry the exact same language and are taken into AI-specific operational execution: audit, steering, the first hundred days. Published in my white paper Product Alpha AI, complementary to the general Scorecard, not a competitor: this one sets the framework, the AI Alpha Scorecard runs the AI-focused implementation.
Artificial intelligence is not a cost center. It is a valuation lever.
Inference cost control (compute, tokens) and direct impact on gross margin.
Multi-agent, multi-LLM systems, enterprise RAG, MCP protocols.
Data isolation against extraterritorial laws, regulated sectors (banking, healthcare, public).
Reproducible in weeks by a competitor with API access.
Captures documented know-how. Costlier to replicate.
Vertical IP, near-zero marginal cost. The most undervalued asset in Due Diligence today.
AI doesn't destroy product value by nature. It destroys value governed without financial discipline, exactly as uncontrolled churn or ignored technical debt would have done before it.
How invisible technical debt silently destroys post-close EBITDA, and how to detect it before the deal.
The series that extends this White Paper, with concrete cases and rolling updates. A good entry point to follow the topic chapter by chapter.
The four-axis framework for reading a product asset as a financial asset, from pre-deal to exit.
The "Value Creation, Product Alpha Strategy" series brings together the general Scorecard and its AI-focused derivative. It will keep growing as the framework evolves.
The AI-focused derivative of the Scorecard: Efficiency, Margin, Moat, taken into execution, audit and the first hundred days.
The launch article, "Welcome to the Scorecard IA," joins the Product Alpha Scorecard series. The two frameworks read as mirrors of each other, one strategic, one operational.
The SCRM/TPRM thesis: a compliance tool that becomes financial risk infrastructure, its moat built by data and network.
The dedicated series "SCRM Alpha: The License to Operate" will dig into a different angle of the SCRM/TPRM market each quarter. The first article lays out the general thesis developed in this White Paper.
A three-time Chief Product Officer, I built my career at the crossroads of technology and Private Equity: ten years at Microsoft, seven years at Google, then Product leadership mandates in fund-backed scale-ups.
Co-founder and CPO of LumApps, growing ARR 10x in two years. SVP/GM of Virtru in Washington DC. Then Group CPO of a PE-backed ConTech buildup, taking ARR from €45M to over €130M, orchestrating eight consecutive M&A integrations and rationalizing 21 legacy platforms into 2 to 3 solutions, through to a GTCR exit.
I now bring that double experience, Big Tech discipline and scale-up agility, to Private Equity and Venture Capital funds and their portfolio companies, through RPoperating.