Job description
Translated by FDE Times from the original posting in Chinese.
About the team: The Feishu Commercialization team (Go to Market) is responsible for bringing Feishu's advanced products and services to the Chinese and international markets. It sets precise business strategies, runs market campaigns that reach beyond existing audiences, and develops a deep understanding of the trends and characteristics of different industries. It conveys Feishu's philosophy and value to enterprise customers across industries and secures business partnerships, helping customers deepen and broaden their use of Feishu, so that Feishu ultimately becomes the first choice of leading enterprises in every industry and continues to help organizations upgrade. Commercialization teams have already been established in China, Singapore, the United States, Japan and other countries and regions, beginning the journey of improving creativity and efficiency for organizations and individuals in all industries around the world.
1. Work with customers in specific industries: gain a deep understanding of their business needs, advise them, and translate those needs into AI technical solutions that can be put into practice; 2. Using a large-model application mindset, quickly complete the design of 0-1 Agent Demos and deliver POCs, leading the full process of requirements analysis, solution design, code development, and demo and acceptance; 3. Based on real customer usage feedback, keep refining the Agent user experience and how close the product is to a finished, productized state; 4. Work closely with customers' IT, business and security teams, as well as internal GTM, product, R&D and delivery teams, to ensure the Agent product solution is implemented end to end.
1. Bachelor's degree or above; majors in computer science, software engineering, artificial intelligence or related fields preferred; 2. Proficient in Python/Java, and able to write production-grade code independently on site; familiarity with backend frameworks such as FastAPI/Spring preferred; 3. Familiar with calling large-model APIs, with hands-on project experience in Agent development and design, and familiar with application architectures such as RAG/Agent/Workflow; 4. Familiar with quickly understanding requirements and designing technical paths in complex business scenarios; experience in To B product delivery or solutions preferred; 5. Excellent cross-team communication skills: able to explain the value of AI clearly to senior technical leaders, and also to discuss technical details with engineers; 6. Strong curiosity about putting AI technology into practice in enterprise scenarios, and a sense of ownership that lets you drive work forward independently in highly ambiguous environments.