Job description
Translated by FDE Times from the original posting in Chinese.
1. Go deep into the live-stream operations and ad delivery scenarios of consumer goods customers such as apparel and food and beverage. For different operating stages and goals, map out the workflows of optimizers and media buyers, identify high-value problems, and define the scope of the solution and the outcome metrics; 2. Using the customer's ad data, operating data, industry experience and knowledge assets, build a delivery Skill that covers "problem diagnosis, strategy generation, execution guidance", providing actionable solutions for key areas such as budget, bidding, audiences, creatives, products, and how the live room converts traffic; 3. Drive the delivery Skill into the customer's real tasks, and keep collecting customer usage, adoption of recommendations, actions taken, and business results such as GMV, ROI, spend volume and conversion cost, iterating to form a value loop of "discover, diagnose, recommend, execute, feed back". From single-customer validation, distill reusable industry strategies and application patterns, turn them into standardized Skills and product requirements, and keep improving the Agent product's capabilities through validation across multiple customers; 4. Work with the product, engineering, algorithm, industry operations and sales teams on co-building with customers, solution validation and feeding results back into the product, and take responsibility for delivery quality and business results for customers.
1. Bachelor's degree or above; majors in computer science, artificial intelligence, statistics, e-commerce, marketing or related fields preferred; 2. Experience in live-stream commerce, performance advertising or merchant operations; experience as an optimizer, media buyer, live-stream operator or merchant operator, or familiarity with consumer goods industries such as apparel and food and beverage, is preferred; 3. Passion for AI and strong hands-on skills; familiar with technologies or product mechanisms such as Agent, Workflow, Skill, Tools and Prompt Engineering, with practical project experience in these areas; 4. Strong business analysis, data analysis, customer communication and project execution skills; able to quickly understand complex business situations and work with multiple parties to solve problems; 5. Results-oriented and self-driven, with strong learning ability and a willingness to keep following developments in AI and advertising technology.