Louis Duquesne, Product Manager in Barcelona, Spain
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Louis Duquesne

Bio

Louis is a senior AI product manager with 9+ years in B2B/B2C tech, specializing in generative AI and 0-to-1 product launches. He has deployed LLM workflows across 12+ companies, grown a consumer product from 120,000 to 380,000 MAU, and generated €1.2 million ARR through AI-powered monetization. Unlike most PMs, Louis ships AI products hands-on using prompt engineering, LLM APIs, RAG pipelines, and production deployment.

Project Highlights

Expertise

  • AI Product Strategy
  • Agile Product Management
  • Claude Code
  • Generative Artificial Intelligence (GenAI)
  • Product Discovery
  • Product Roadmaps
  • Product Strategy
  • Scrum

Work Experience

AI Consultant

2023 - PRESENT
Freelance Clients
  • Advised 12 proptech and real estate companies on AI integration, identifying 40+ automation use cases across marketing, operations, and client management.
  • Deployed production LLM workflows using Anthropic and OpenAI APIs for content generation, lead qualification, and document processing; clients saved 15 hours weekly.
  • Built automation pipelines combining Zapier, Make, and custom LLM API integrations, connected to existing CRMs and marketing platforms.
  • Shipped 3 AI products end-to-end: a listing platform, a RAG-based property search chatbot (Pinecone + Claude), and an inside sales agent (Claude Vision).
  • Trained 60+ professionals on prompt engineering, enabling teams to build and maintain AI workflows independently post-engagement.
  • Defined go-to-market strategy for each AI product, including pricing model, user segmentation, and rollout sequencing based on client readiness.

Senior Product Owner

2025 - 2026
Affinicia
  • Launched a 0-to-1 client portal for energy bill tracking, open banking, and OCR-powered bill analysis. Shipped the MVP in 3 months and onboarded 400+ users.
  • Defined product roadmap and OKRs using user research, competitive benchmarking, and unit economics analysis.
  • Led a cross-functional squad of 8 (engineers, designers, QA) through product discovery, technical scoping, and iterative delivery using Jira and Notion.
  • Scoped and delivered an open banking API integration, managing technical tradeoffs with engineering across multiple sprint cycles under Agile/Scrum.
  • Optimized the onboarding flow through user testing and analytics (GA4, Amplitude), improving activation rate and reducing time-to-value.
  • Built internal AI agents using Anthropic APIs for contract analysis and PM operations—reducing processing time by 40%. Trained 3 squads on GenAI workflows.

Senior Product Manager

2021 - 2023
Mad Collective
  • Owned an AI-powered dating chatbot product serving 380,000 MAU, collaborating with data scientists to improve recommendation models and conversation flows.
  • Designed and shipped 7 monetization features (freemium, pay-as-you-go, premium subscriptions), generating €1.2+ million ARR through pricing experimentation.
  • Grew the product from 120,000 to 380,000 MAU and turned a €400,000 annual loss into an €800,000 profit within 18 months through conversion and retention optimization.
  • Ran product discovery with a 10-person cross-functional team (engineers, designers, data, and commercial) using user research, SQL analysis, and A/B testing.
  • Tracked engagement and retention KPIs across the full funnel using Amplitude and SQL, driving iteration on matching algorithms and conversation UX.
  • Presented product strategy, pricing recommendations, and performance metrics to C-level stakeholders on a quarterly cadence.

Technical Product Owner

2021 - 2021
Flight Centre Travel Group
  • Shipped 2 MVPs for a B2B travel platform that scraped PNR data and cross-referenced CRM records to deliver personalized travel proposals to corporate clients.
  • Reduced booking drop-off by 28% through hands-on data analysis and iterative UX improvements on the proposal and booking flow.
  • Conducted user research with travel agents and corporate bookers to validate MVP scope and prioritize features for the European market launch.
  • Managed backlog prioritization and sprint planning for a cross-functional squad of 7, delivering bi-weekly releases under Agile/Scrum.
  • Facilitated stakeholder alignment between commercial teams in Europe to define the go-to-market strategy for the European rollout.

Innovation Product Owner

2018 - 2019
Accor
  • Led product discovery for Accor's innovation unit with a squad of 4, shipping 3 MVPs through rapid prototyping in 12 months.
  • Shipped an NLP-powered chatbot for personalized hotel recommendations, working with engineering on conversation design and API integration.
  • Evaluated emerging hospitality tech opportunities (IoT, mobile check-in, conversational AI) and built business cases for C-level executive sponsorship.
  • Benchmarked Accor's digital product suite against Marriott, Hilton, and IHG to inform feature prioritization and competitive positioning.

Product Manager, Mobile App

2016 - 2018
Accor
  • Repositioned the Accor mobile app to target business travelers. Achieved over 42% engagement and 1.8 million downloads in 6 months.
  • Defined go-to-market strategy for the mobile app relaunch, aligning product, marketing, and regional teams across 5 international markets.
  • Coordinated 5 international teams on product marketing, using Google Analytics 4 and user analytics to refine the group-wide mobile product roadmap.
  • Shaped product marketing strategy using A/B testing and user segmentation to optimize acquisition channels and in-app engagement.
  • Managed backlog prioritization and release planning in Jira and Confluence, delivering iterative updates under Agile/Scrum.

Project History

AI Listing Generator for Real Estate Portals

  • 22 — Minutes Saved Per Listing vs. the Manual Process
  • 56% — Average Quality Score Improvement
  • 128 — Listings Generated in Beta

Agents sell to British, French, German, Dutch, and Belgian buyers but write one generic description and paste it everywhere unchanged.
A 10-agent agency spends 7-10 hours/month on listing copy that only reaches 30-40% of the international buyer pool.
French, German, and Dutch buyers never see listings. Properties without English on ThinkSpain are invisible to 100% of that portal’s audience.

• Designed prompt architecture through 10 versions and three architectural rewrites. Collapsed eight reactive rules into three principle-based rules: audit issues dropped from 10.3 to 1.7 per listing.
• Built a 3-layer quality system: prompt (probabilistic), deterministic post-processing (calque correction and fact validation), and a 15-test regression suite as a shipping gate.
• Solo build: Next.js, Supabase, Claude API, Stripe, Vercel. Discovery to launch in three months.

Listing creation: 20-30 min to under 60 seconds. Buyer reach: 30-40% to 100% of the international pool. 10 paying agencies, €990 MRR, €0 CAC. +200 generations/month at €0.01/generation. Full product built and shipped solo in 3 months.

AI-powered Dating Chatbot

  • +217% — MAU Growth from 120,000 to 380,000
  • €1.2 Million — Annual Recurring Revenue Generated
  • 18 — Months Time to Profitability

The product had 120,000 MAU but was losing €400,000 annually with no monetization strategy. Engagement metrics were declining, conversation flows felt repetitive, and the quality of content recommendations was low. No pricing model existed. The product had a large user base but no path to revenue or profitability.

I collaborated with data scientists to rebuild recommendation models and matching algorithms, improving conversation quality and session depth. I designed and shipped 7 monetization features: freemium upsell, pay-as-you-go credits, and premium subscriptions, each validated through A/B testing. I also led pricing experimentation across the full funnel using Amplitude and SQL analysis. Presented pricing strategy to C-level stakeholders quarterly.

I grew users from 120,000 to 380,000 MAU and revenue from €0 to €1.2 million ARR in 18 months, shipped 7 monetization features, and built a pricing framework that became the company’s primary revenue engine.

0-to-1 Energy Tracking Client Portal

  • 400+ — Users Onboarded in the First Quarter
  • 3 — Months, From Zero to MVP Launch
  • 470+ — Bills Analyzed Through the Platform

The company had no client-facing digital product. Customers tracked energy bills and contracts across disconnected spreadsheets and emails. No centralized view of energy spend existed, making it impossible for clients to benchmark costs or detect billing errors. Internal teams processed contracts manually, creating a bottleneck as the client base grew.

I defined a product roadmap and OKRs from scratch. I led a cross-functional squad of 8 engineers, designers, and QA through discovery, scoping, and iterative delivery. I also scoped and delivered open banking API integration and OCR-powered bill analysis, managing technical tradeoffs with engineering across sprint cycles. I built AI Agents using OpenAI and Claude APIs for contract analysis.

I grew the client portal from 0 to 400+ users in 3 months, accelerated contract processing by 40% using AI agents, analyzed 470+ energy bills, and delivered the company’s first digital product and GenAI adoption.

Education

2020 - 2020

Certification in Software Engineering

Le Wagon - Barcelona, Spain

2014 - 2018

Master's Degree in Project Management

SKEMA Business School - Paris, France

Certifications

MAY 2018 - PRESENT

Certified Scrum Product Owner (CSPO)

Scrum.org

Skills

Tools

Jira, Confluence, Figma, Zapier

Paradigms

Agile Product Management, Scrum, Conversion Rate Optimization (CRO), Gamification, Kanban, Agile Project Management, Rapid Prototyping, App Store Optimization (ASO)

Platforms

Google Analytics 4 (GA4), Mixpanel

Other

Notion, Product Strategy, Product Roadmaps, Objectives & Key Results (OKRs), User Research, Product Analytics, User Onboarding, Prompt Engineering, API Integration, Generative Artificial Intelligence (GenAI), Large Language Models (LLMs), Claude API, OpenAI API, AI Product Strategy, CRM, Monetization, Pricing Strategy, User Retention, User Engagement, Data Analysis, A/B Testing, Stakeholder Management, Product Discovery, Minimum Viable Product (MVP), Backlog Management, Prototyping, Competitive Analysis, Chatbots, Go-to-market (GTM) Strategies, Product Marketing, Mobile Apps, Product Positioning, Product Launch, User Feedback, Launch Strategy, Product Demonstrations, Technical Project Management, Artificial Intelligence (AI), Cross-functional Team Leadership, Estimation & Planning, User Experience (UX), User Interface (UI), Product Management, Product Requirements Documentation (PRD), eCommerce, Product Owner, User Journeys, UX Research, Business Analysis, Technical Product Management, SaaS, User Experience Design, Sales Enablement, Market Research, Startup Consulting, Website Design, APIs, Data Integration, Process Analysis, Workflow Diagrams, Documentation, Knowledge Management, Project Management, Property Management, AI Integration, Subscriptions, Web Platforms, Problem Solving, Analytical Thinking, AI Tools, Discovery, Agentic AI, Agentic Frameworks, Business to Business (B2B), Product Ownership, MVP Design, Product Development, AI Agents, AI Design, Artificial Intelligence Product Manager, UX Design, Claude Code, B2B, Natural Language Processing (NLP), Generative Pre-trained Transformers (GPT), Messaging, Miro, ERP Systems, AI Automation, Solution Architecture, AI Product Management, Advertising Technology (Adtech), SQL, Ruby, JavaScript, Optical Character Recognition (OCR), Open Banking APIs, Python, Pinecone, Internet of Things (IoT)

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