Ivy Liu

About Ivy Liu

Accomplished, visionary and results-driven CTO and Chief Data & AI Officer with 20+ years experience leading product and engineering organizations across Top Tech and Fortune 10 companies. Entrepreneur, innovator, and builder with a strong record of creating transformative platforms and category-defining products. Proven track record of driving strategic, high-impact initiatives across product, AI/ML, SaaS, PaaS, and cloud infrastructure — scaling 0→1 innovation and multibillion-dollar businesses in both enterprise and consumer markets. Built and led world-class teams in Cloud services, developer platforms, search and ads, e-commerce, fintech, and insurance. Deeply technical, people-first executive with a sharp business lens. Known for building high-performing, mission-driven cultures that value trust, growth, and bold execution. Expert in transforming businesses and industries with Generative AI technologies — from launching entirely new business models, revolutionizing existing products with AI-native experiences, to modernizing legacy and enterprise workflows, and achieving drastic efficiency gains. Open to exceptional opportunities where product, platform, and AI innovation come together to shape the future at global scale.

Experience

1. Global Head of Reliability, Observability & Quality

   Meta

   Sep 2025 — Present · Bellevue, WA, US

   Built and lead Meta’s ROQ (Reliability, Observability & Quality) organization (300+ engineers, PMs, design, and data teams across 4 sites globally), defining a new company-wide function and operating model for production AI systems, reliability, and observability.Responsible for how AI-powered products and systems operate reliably at planet scale across Meta’s ecosystem, including Family of Apps (FoA), Ads/Monetization, Reality Labs, Meta Superintelligence Labs (MSL), and core infrastructure (data, compute, production engineering).Strategized and building the next-gen AI-native operational platforms, including:• Observability platforms — powering real-time visibility across Meta’s applications and infrastructure• AI reliability & quality systems — agent tracing, evaluation, and guardrails for LLM-driven workflows• AI-native operations (AI SRE) — autonomous prevention, detection, mitigation, and self-healing systems• Productionization of AI systems — enabling LLM-based and agent-driven systems to operate reliably in large-scale, user-facing productsDriving reliability, quality, and operational excellence for AI systems underpinning billions of user interactions and significant revenue across Meta’s products.

Education

• Jilin University

  Bachelor's degree

• State University of New York at Stony Brook

  Master's degree