2025-08-10 –, TR412-1
在快速變動的科技業，求職不該只是憑感覺。這場分享將帶你認識「量化求職法」：透過數據追蹤與指標優化，幫助你釐清哪種履歷最有效、哪些策略真的有用。從投遞數、回信率、面試轉換率到 offer 獲得率，喬將分享如何陪伴超過 200 位求職者建立個人化的求職儀表板，讓每一次行動都更有方向。適合希望提升求職效率、正在求職轉職的工程師參與。
Beginner
George 曾從台灣在沒有身份下得到支援 Visa 的新加坡 ByteDance、英國 Mozilla、美國 Gitlab 的 Offer，後來任職於美國亞馬遜。後來將他求職的方法轉為一套完整的框架。現在是一位跨國職涯教練，專注於幫助科技業人才進行數據驅動的職涯轉職，至今已陪跑超過 200 位求職者，成功進入國際企業與遠距職場。他推廣的「量化求職法」結合開源工具、指標追蹤，協助求職者做出有策略的行動選擇，也致力於建立華人在地與海外求職的知識社群。
George received job offers from companies like ByteDance Singapore, Mozilla UK, and GitLab US—all while applying without a local work permit. He eventually joined Amazon US. Based on his experiences, he developed a structured and data-driven job search framework. Now working as a cross-border career coach, George has helped over 200 tech professionals successfully land roles in global companies and remote teams. His “Quantified Job Hunting” method combines open-source tools, metrics tracking, and strategic iteration to empower job seekers to make informed decisions. He is also dedicated to building a knowledge-sharing community for Mandarin-speaking professionals navigating both local and international job markets.