Málaga, Andalusia, Spain
I am a Product Architect who designs and builds growth engines. After 15 years leading product teams in hyper-growth unicorns like Rappi, Addi, and La Haus, I realised that most businesses don't need more "campaigns". They need a scalable Growth Operating System. I apply the architectural principles of high-scale fintech to client acquisition. Leveraging my background in scaling transaction volumes by 15x and leading 50+ person product organisations, I engineer automated systems that optimise unit economics and verify intent. This transforms growth from a manual task into a precise, scalable asset. What I do now: As a Staff Product Consultant, I partner with e-commerce brands (scaling from €20k to €200k+ ARR) to install modular client acquisition systems. I don't just run ads; I build the entire infrastructure. From Google/Meta Ads to Make.com/n8n automation, I ensure every lead is captured, qualified, and converted with maximum efficiency. My background in numbers: 15x increase in transaction volume (La Haus). 92% reduction in fraud via AI risk models (Zenpli). 10% to 0.1% fraud reduction in fintech (Addi). 40+ person product teams managed. I bridge the gap between high-level Corporate Strategy (VP of Product) and tactical No-Code Execution. If you want to stop "guessing" at growth and start "engineering" it, let's connect.
The Agency OS: Designed and deployed proprietary automation infrastructures (Make.com, n8n) that integrate CRM, Media Buying, and Lead Scoring into a single autonomous pipeline. AI-Native Operations: Implementing Agentic AI workflows (Claude Code, Cursor) to reduce development cycles and manual operational overhead by 90%. High-Scale E-Commerce: Architecting headless commerce solutions (Hydrogen, Sanity.io) for brands scaling to €250K+ ARR, ensuring a seamless bridge between artistic brand storytelling and high-conversion technical stability.
Fraud Infrastructure: Co-architected an AI-driven Identity Engine on Snowflake, delivering a 92% reduction in synthetic identity fraud for high-volume financial partners. Systems Leadership: Directed 40+ person cross-functional squads (Engineering, Data, Product), implementing Domain-Driven Design (DDD) to align technical deployments with Board-level revenue targets. Regulatory Engineering: Led the transition to real-time automated KYC/KYB, reducing customer onboarding latency by 70% while maintaining 100% compliance with international financial standards.
Architectural Scaling (1,500% Growth): Designed the core systems infrastructure required to support a 15x increase in transaction volume within 18 months. I didn't just manage growth; I engineered the automated risk, payment, and fulfillment systems that made that growth stable. Inventory Intelligence & B2B Ecosystem: Designed and deployed a proprietary B2B inventory tool for thousands of construction firms. This moved inventory updates from "manual daily reconciliation" to near real-time sync, reducing sales errors by 90% and establishing a "Golden Source" of truth for the entire marketplace. Precision Acquisition ($19M Revenue): Conceptualized and executed the HNWI (High-Net-Worth Individual) acquisition model for luxury developments. By building a custom targeting model that combined credit bureau data with social profiling, generated $19M in revenue from a single targeted campaign (39/40 units sold at full price). Product-Led Operations: Managed a 30+ person cross-functional organization (Product, Design, Engineering). Implemented Domain-Driven Design (DDD) to bridge the gap between the complex legalities of real estate and the digital user experience, shortening the "Time-to-Transaction" by 40%. Fintech Integration: Led the product roadmap for "La Haus Credits," integrating automated mortgage pre-approval flows directly into the user journey, which increased lead-to-buyer conversion by 25%.
Data Infrastructure: Architected the company's foundational data infrastructure from scratch, implementing event-tagging (SQL, Segment) and real-time aggregation layers (Kafka) to support all future ML models. Risk Architecture: Spearheaded a complete platform re-architecture for an AI-driven fraud detection system using Python-based risk models, reducing fraudulent transactions from approx. 10% to <0.1%. Culture: Fostered a data-driven culture across the organisation, directly enhancing the accuracy of credit and fraud models for market expansion.
Conversion: Directed the automated loan origination MVP integrating Twilio for real-time verification, boosting conversion rates to 32%. Collaboration: Championed Domain-Driven Design (DDD) to streamline collaboration between Data Science and Engineering, reducing development cycles for ML features by 40%. Product Strategy: Defined product roadmaps and OKRs for core credit products, optimizing the user journey to facilitate expansion into 2 new regional markets. Agile Leadership: Led 3 cross-functional squads in a fast-paced environment, delivering 100% of critical roadmap features on schedule.