About Matthew
I’m a mission-driven, endlessly curious product leader with a decade of experience building and scaling B2B and B2C SaaS products across AI, cybersecurity, and entertainment.
At Qevlar AI, I led the development of an autonomous SOC investigation platform—translating real analyst workflows into AI-driven investigations that achieved 95%+ accuracy and cut investigation time by 10×. I defined product vision and roadmap, designed evaluation frameworks for LLM performance, and implemented processes for prioritization, feedback loops, and data-driven improvement.
Previously as VP of Product at Maestro, I built and scaled the product organization from the ground up, overseeing 30+ people and embedding structure, analytics, and a transparent culture across teams. Earlier at Ubisoft, I led creation of widely adopted B2B and B2C products serving millions of users annually.
I specialize in bringing clarity and alignment to complex, fast-moving environments—connecting strategy to execution, empowering teams through trust, and turning abstract ideas into tangible outcomes that deliver measurable impact.
English
Native or bilingual
French
Conversational
Can work on-site
Paris (up to 10km)
Experience
- Capila HealthProduct and Strategy AdvisorHEALTH AND WELLNESSFebruary 2026 - Today (4 months)
- Refined ICP and value proposition around reducing post-operative support burden. Resulted in clearer positioning tied to real clinic pain, tighter product direction, and early mitigation of material security risk.
- Audited product and AI LLM behavior, identifying critical security vulnerabilities, and advised on GTM framing and compliance baseline (HIPAA/GDPR).
- Qevlar AIHead of ProductSOFTWARE PUBLISHINGFebruary 2024 - September 2025 (1 year and 7 months)Paris, France
- Led development and evaluation of Qevlar AI’s autonomous cybersecurity investigation platform, overseeing LLM performance testing, accuracy validation, report design, and analytics, resulting in investigations completed 10x faster than humans with 95%+ accuracy.
- Mapped client workflows and alert types (email, endpoint, identity) to translate real security scenarios into actionable product features, ensuring engineering delivered solutions aligned with analyst needs.
- Partnered with engineering to implement a Retrieval-Augmented Generation (RAG) system for product memory, improving contextual reasoning, reducing redundant actions, and strengthening environment-specific investigations.
- Defined and prioritized the roadmap using data-driven frameworks (RICE, Kano), balancing speed, accuracy, and analyst usability across the investigation and platform teams.
- EFREI ParisGuest Lecturer - Product ManagementEDUCATION AND E-LEARNINGNovember 2022 - Today (3 years and 7 months)Paris, FranceCo-creation and Teaching a Masters course at EFREI University on Product ManagementDelivery of course material in-person, and guiding students through hands-on projects.
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Education
- Master of Project ManagementUniversity of Sydney2011Masters, Project Management
- Bachelor of ArtsThe University of Queensland2005Bachelor, Arts - Psychology, Cognitive Science
Certifications
- Learn SQL courseCode Academy2022
- Product Analytics - MixpanelProduct School2023