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Ai-Jung Li

Hi, I'm Ai-Jung Li - Lead Product Manager - AI Data at Meta

I am passionate about turning complex AI research into meaningful products that improve daily life. I thrive when bridging the divide between engineering, data, and user experience at a massive scale.

Meta
Seattle, WA, USA
AI insights

At a glance

Curated signals on strengths, focus areas, and how they can help.

Developed early technical proficiency through software engineering roles at hardware and computing leaders.

Orchestrates complex AI data strategies and product roadmaps for major global technology platforms.

Offers expert coaching to product managers seeking to balance technical depth with strategic vision.

🚀 Career trajectory

Technical Foundation

Started as a Software Engineer at NVIDIA, building technical depth in hardware-software integration.

Engineering

Hardware

Fundamentals

Strategic Pivot

Transitioned into product leadership at Microsoft and AWS, refining a business-centric approach to software.

Product Leadership

Cloud Computing

MBA Perspective

AI Product Leadership

Current focus at Meta on leading AI data strategy at the scale of global consumer platforms.

Generative AI

Data Strategy

Global Scale

💪🏻 Superpowers

Architect of AI-Data Synergy

Connecting engineering rigor with product intuition

Synthesize massive data architectures into actionable product roadmaps

Translate technical ML requirements for cross-functional stakeholders

Scale AI product features from prototype to production success

Technical Product Visionary

Navigating the full lifecycle of complex systems

Leverage a deep engineering background to evaluate product feasibility

Drive consensus between research scientists and business leadership

Simplify complex AI concepts into intuitive product user experiences

Strategic Talent Mentor

Cultivating the next wave of industry leaders

Guide emerging product professionals through high-growth career shifts

Foster inclusive cultures centered on technical excellence and curiosity

Facilitate peer learning across multi-disciplinary product teams

I'm excited about

Exploring frontier developments in generative AI and ethical data governance.

Engaging with mission-driven founders pushing the boundaries of machine learning applications.

Identifying high-impact opportunities that demand a blend of technical depth and product vision.

I can help with

Providing expert guidance on transitioning from an engineering to a product-focused career path.

Reviewing AI product strategy roadmaps to ensure technical and business alignment.

Mentoring junior PMs on navigating the complexities of large-scale tech organizational structures.

I would love your help on

Connecting with peers navigating the shifting landscape of enterprise AI data regulations.

Gaining fresh perspectives on emerging non-obvious applications of generative AI in consumer products.

Finding community-led forums focused on the intersection of machine learning and UX design.