Linker Networks 是一間創立於波士頓的美國創新公司，專注於開發自駕、工安以及公衛醫療領域的AI平台。成立於2013年，由一群對於人工智慧發展充滿熱誠的年輕人組成，我們擁有開放的組織文化以及敏捷的開發團隊，若你也想要一同和我們開創人工智慧的新時代，加入Linker絕對是你的最佳選擇。
▋What's it like to be a Linker?
You will be working with a talented team to build a promising computer vision AI development platform. You will learn from our global clients their pain points and create solutions for them. You'll see how we managed to process tremendous real-world data to build computer vision models and applications for maximal impact. You will have a unique chance here to grow your desired career.
▋We have a solid R&D team and now are building an ambitious Sales/BD team to extend our business globally! We are looking for those who have related domain knowledge below, and are confident to build a strong connection with global customers:
我們希望LINKER不會是妳/你最後一份工作，擁有以下domain knowledge之一，並且有自信建構相關人脈；只要能讓客戶聽得下去、聽得懂&買單/合作，妳/你就是我們要的人:
▸ Autonomous Driving 自駕車
▸ Government (Smart City/Transportation) 政府部門(智慧城市、交通運輸etc.)
▸ Medical 生醫(智慧醫療)
▸ Manufacturing 半導體
▸ Security
▸ Retail
▸ AI
▋This is not just any sales job, we also provide:
- AI knowledge/industry training & more AI知識/產業訓練
- Not only stock options but big bonus 股權和高額獎金
- Opportunities to a direct report to GM 直接對總經理報告
- Cross-boundary learning & supporting 跨領域學習和支援
▋What you will do:
▸ Brand/Product presentation.品牌和產品介紹
▸ Hunting, scoping, negotiating, and closing deals.瞄準機會-取得訂單
▸ Developing and managing client relationships. 維繫客戶關係
▸ Engaging in regular monthly and quarterly business reviews and weekly forecast activities.定期報告和提供預測
▸ Meeting and exceeding revenue goals on a quarterly and annual basis. 達標-超標
▋What you must have:
▸ A proven record of successful BD experience for more than 1 year.
▸ Have excellent people skill and are comfortable facing different levels/types of clients.
▸ Experience in managing an entire sales cycle from prospecting through closing.
▸ Have excellent listening and communicating skills.
台北市大安區忠孝東路三段136號9樓之5
我們致力於加速 AI 電腦視覺應用的開發，以自動標註系統來克服深度學習中最困難的挑戰 - 準備高品質的訓練資料。除此之外，我們建立 AI 電腦視覺模型持續學習機制以適應新的資料變化，透過優化整體開發流程，從資料攝取及篩選、模型訓練及驗證、到佈署及監控，讓 AI 電腦視覺能更快速簡易地持續學習。