Sara Liang

Director in Taipei, Taiwan

View my portfolio

Hello, I'm Sara Liang

Withover 17 years in marketing and management, I focus on delivering practical results through OMO strategies and digital transformation. My background in Information Management allows me to bridge the gap between technical integration and market needs, creating measurable value for businesses across B2B and B2C sectors.

My experience spans advertising, IT, and smart manufacturing. I have extensive hands-on experience in everything from PR events to cross-border E-commerce. Currently, I am dedicated to international brand marketing and AI brand incubation for smart office solutions. I take pride in being detail-oriented and highly adaptable, ensuring steady progress in fast-changing environments.

Core Expertise

Cross-Industry Integrated Marketing
Omnichannel campaign execution across digital, PR, events, and traditional media (200+ brands served)

Data-Driven Product Strategy
Leveraging technical background to integrate analytics into marketing and product development decisions

Cross-Functional Leadership & Execution
Managing complex projects across departments, regions, and cultures with proven results

Quantified Results Overview
200+ Brands Served
100+ PR Press Conferences
200+ Online Campaigns Executed

AI-First Thinking Framework: AI as a Partner

-Default Reconstruction: Don't just patch old workflows. Use AI to design new versions from the ground up.

-Reduction-Oriented: Once AI is integrated, ask: "Is human intervention still required here?" Shift those resources toward your AI partnership.

-Experimental Cycles: Rapidly deploy AI solutions → Test efficiency → Iterate. Every failure is a data point for learning.

-The Core Shift: Human roles evolve. People focus on strategy, insight, and oversight, while AI handles execution and repetitive labor.

My Objective
I am looking to join an AI-first organization—a company committed to redesigning products, optimizing workflows, and informing decisions through AI, rather than simply layering tools onto legacy processes.

Ideal Team Traits
I am drawn to teams that mirror the vision of companies like Duolingo or Fiverr, which have publicly pivoted to an AI-first stance. These teams first ask, "How can AI maximize automation and efficiency?" and then determine how to best allocate human talent and organizational structure.