San Jose, US-United States
Posted 3 months ago
| About The Company This company pioneers short-form video creation and social engagement, boasting a vast, engaged user base. Its platform empowers users with creative tools, filters, and effects. With a diverse content ecosystem, it’s a hub of creativity and expression. The proprietary algorithm ensures personalized content feeds, enhancing user engagement and satisfaction. This company wields significant influence on digital media, making it an invaluable partner for innovative collaborations and marketing endeavors. About the team We are “Content Understanding” team. “Content Understanding” is essentially a system of tags, which describes content, creators, and users from different dimensions and perspectives. We work with Algos, build up different models to provide such a robust tag system, including Taxonomy, Interest label, etc. In this system, all entities are represented by a set of definitive tags and tag combinations. The advantage of this representation is that it connects different entities.For example, a ‘food’ creator and a user who likes ‘food’ content are connected through the common descriptor ‘food’. The interaction between content, creators, and users has a wide range of application scenarios and commercial value, and the tag system is the bridge that links them together. Establishing a tag system to unify content, creators, and users under the same descriptive framework facilitates the expansion of various business applications in corresponding scenarios, such as content recommendation and distribution, vertical operations, data analysis, ecosystem monitoring, and strategic planning, etc. Responsibilities – Responsible for the understanding of international short video content, possessing keen perception and deep understanding of content. Able to approach from both platform and user perspectives, combining machine learning and manual correction methods. Tasks include model clustering, annotation, understanding, and quality assessment, delivering general understanding capabilities such as content classification tags, interest tags, etc. – Deeply understand recommendations and operations, proactively identify and explore pain points and requirements, expand more application scenarios and directions, assist businesses in efficient integration, and make reasonable interventions based on actual results to deliver quantifiable value. Application scenarios include, but are not limited to: recommendation distribution, vertical operations, data analysis, etc. – Possess strong logical thinking and problem-decomposing abilities, capable of actively analyzing problems, summarizing, identifying opportunities, and driving continuous iteration of capabilities. – Have excellent communication and collaboration skills, able to align goals effectively, solve problems, and achieve expected results. – Good data analysis ability and data-driven mindset, familiar with content recommendation processes and basic principles, capable of collaborating with recommendation algorithms and analysts to complete application results collection and analytical report output. Minimum Qualifications – Bachelor’s degree or above, with over 5 years of operations or strategy experience. Strong content understanding skills preferred, especially those with experience in content strategy, scheduling strategy, recommendation strategy, product recommendation, etc. – Strong learning ability, diligent and serious in work, actively think and identify problems, and proactively promote business iteration. – Excellent communication, collaboration, and project management skills, resilient under pressure, capable of focusing on key points to solve complex problems, long-term oriented. – Solid structured thinking ability, strong logical thinking, good data analysis skills, proficiency in SQL is preferred. – Deep consumers of content products preferred, especially those who love and frequently use overseas content products. – Strong communication, reading, and writing skills. |
Job Features
| Job Category | Product Operations |
| Seniority | Staff IC / Senior Staff IC / Architect |
| Base Salary | $180,000 - $250,000 |
| Recruiter | nicole.wong@ocbridge.ai |
