Hi, I'm Matthew Yeager - Principal Product Manager at Booking.com
I thrive where deep technical rigor meets complex governance. I am passionate about making AI trustworthy at scale, finding energy in the creative friction of building systems that are both compliant and fast.
At a glance
Curated signals on strengths, focus areas, and how they can help.
Successfully architected and exited two AI-driven startups while building core technical expertise.
Leads privacy engineering and governance strategies for agentic AI systems at a global platform scale.
Provides deep expertise on translating complex EU regulatory mandates into actionable, scalable technical infrastructure.
🚀 Career trajectory
Founding & Scaling Phase
Launched and successfully exited two AI-driven startups, establishing a baseline of product-market fit and operational resilience.
✦ Founder
✦ Exits
Big Tech Governance Era
Spearheaded privacy engineering and data portability initiatives at Google, navigating complex infrastructure and global regulatory environments.
✦ Privacy Engineering
Agentic AI Integration
Currently driving privacy-first architecture for agentic AI systems at Booking.com, focusing on the future of autonomous agent protocols.
✦ Agentic AI
✦ Leadership
💪🏻 Superpowers
Technical Governance Architecture
Translating complex regulation into scalable, shipped code
✦ Architects privacy-metadata contracts for agentic AI protocols
✦ Engineers automated consent-propagation systems at global scale
✦ Translates EU AI Act requirements into technical non-functional specs
Product-Led Regulatory Strategy
Harmonizing product velocity with rigid legal compliance
✦ Aligns cross-functional teams around DMA and GDPR mandates
✦ Transforms regulatory friction into measurable product advantages
✦ De-risks AI product scaling through structural governance
Founder's Operating Perspective
Driving growth with an entrepreneur's tactical intensity
✦ Scaled AI-powered startups from inception to successful acquisition
✦ Leverages venture-building experience to solve enterprise-level challenges
✦ Balances hands-on coding with high-level go-to-market strategy
I'm excited about
✦ Exploring the intersection of autonomous AI protocols and future data privacy standards.
✦ Connecting with executive peers building trust-focused AI infrastructure across global platforms.
✦ Identifying collaborative opportunities to influence emerging standards in the agentic AI landscape.
I can help with
✦ Advising on the integration of regulatory compliance into AI system architecture.
✦ Mentoring product leaders on navigating the balance between AI velocity and privacy safety.
✦ Sharing tactical frameworks for scaling privacy metadata within large-scale distributed systems.
I would love your help on
✦ Connecting with practitioners defining governance standards for MCP and UCP protocols.
✦ Exchanging insights on how to handle data provenance within autonomous agent swarms.
✦ Finding advisors for long-term strategies regarding AI-driven regulatory translation tools.