字节跳动内容设计经理-TikTok Content Design Manager-TikTok
任职要求
1、2年以上管理经验； 2、3年以上内容设计、用户体验写作、内容策略等相关领域实践经验； 3、具备与跨职能团队高效协作的能力，适应快节奏工作环境； 4、认同TikTok的使命，对多元社区用户有深刻的同理心； 5、有社交应用设计、国际化产品研发相关经验者优先； 6、投送简历时，请附上内容设计作品集或过往内容项目案例。 1.2+years management and leadership experience; 2.3+years practicing content design, UX writing, content strategy in relevant fields; 3.Proven ability to collaborate successfully with cross-functional partners and work in a fast-paced environment; 4.Passion for TikTok's mission and deep empathy for our diverse community; 5.Experience working on social app design and product internationalization is preferred; 6.Please share your content portfolio of content or design initiatives when applying.
工作职责
1、规划团队愿景，制定内容策略，推动国际化关键业务决策和内容设计细节的落地； 2、兼具项目落地和人员管理能力，为团队树立榜样，提升团队内容设计质量； 3、产品内容设计领域的专家，对产品命名、用户流程、信息框架、触点文案、帮助中心文章等内容有充足经验； 4、合理分配团队资源，制定流程，释放效能，培养人才，提升团队技能； 5、与产品经理、产品设计师、产品研发及运营团队建立紧密合作关系； 6、关注行业趋势，成为内容设计的布道人。 1.Shape the vision for the team and work with other leads and cross-functional partners to drive consensus on key content directions; 2.Strike a balance between managing the team and hands-on work, setting a strong example while ensuring high-quality content across the board; 3.Give thoughtful feedback on content across different touchpoints, like namestorms, user flows, messaging frameworks, notifications, and help center articles; 4.Plan and allocate team resources strategically to maximize impact; 5.Build strong relationships and work closely with PM, design leaders, and operational teams; 6.Develop processes and templates to improve team efficiency, and organize training or workshops to enhance their skills and advocate for content design within the company.
1、为本地化开发和维护可扩展的质量框架、流程和最佳实践； 2、作为语言质量相关需求的主要负责人，确保向组织内的利益相关者传达清楚问题、进展和解决方案； 3、与本地化经理和其他跨职能团队合作，识别并解决语言方面的挑战； 4、与产品、设计、开发、营销和运营团队密切合作，提供专业的语言和文化上的见解，与供应商和外部语言学家密切合作，确保高效协作和支持； 5、通过识别本地化过程中的问题，在语言和团队层面推动解决方案，领导语言质量改进计划； 6、为翻译和审核供应商提供支持和指导，开发和维护全面的知识库，包括所有语言和产品的语言资产，如风格指南和词汇表。 1.Develop, implement, and maintain scalable quality frameworks, processes, and best practices for localization; 2.Serve as the primary point of contact for language quality-related inquiries, ensuring clear communication of issues, progress, and solutions to stakeholders across the organization; 3.Collaborate with localization managers and cross-functional teams to identify and address linguistic challenges; 4.Work closely with internal teams such as Product, Design, Engineering, Marketing, and Operations to provide linguistic or cultural insights, but also with external vendors and linguists to ensure efficient collaboration and support; 5.Lead language quality improvement initiatives by identifying challenges in the localization process and driving solutions at both the language and team levels; 6.Provide support and guidance to translation and review vendors to maintain localization quality during product launches in all supported languages and develop and maintain a comprehensive knowledge base, including linguistic assets across all languages and products, including style guides and glossaries.
广告投放策略&管理 1. 负责某一个主流效果广告平台（如Google、Facebook、TikTok等）的日常运营与管理，包括账户搭建、关键词选取、营销活动定位、用户分层和筛选、出价优化、消耗节奏等，不断提升广告投放的质量与效果； 2. 定期对本渠道的广告投放策略进行复盘与优化，根据市场动态、用户行为变化及投放数据反馈，及时调整策略方向，保障广告投放始终保持高效； 广告创意策划与优化 1. 协同设计部门，策划富有吸引力与转化力的广告创意，包括广告文案、图片、视频等素材的构思与制作指导，确保广告内容能够有效吸引用户关注并激发其行动； 2. 基于 A/B 测试等方法，对广告创意进行持续优化，通过分析不同创意版本的投放数据，挖掘用户喜好与行为规律，不断迭代创意内容，提高广告的点击率、转化率等关键指标； 数据分析与效果评估 1. 实时收集、整理与分析广告投放数据，包括曝光量、点击量、转化率、成本等关键指标，深入洞察广告投放效果及用户行为路径； 2. 定期出具详细、专业的广告投放效果评估报告，通过数据可视化呈现投放成果，精准定位问题与机会点，并提出针对性的优化建议与解决方案，为广告投放决策提供有力的数据支持； 3. 运用数据分析手段，对用户进行细分与画像，深入了解不同用户群体的特征与需求，实现广告的精准定向投放，提升广告投放的精准度与投资回报率。 Advertising Strategy & Management 1. Responsible for the daily operation and management of a major performance advertising platform (e.g., Google, Facebook, TikTok), including account setup, campaign targeting, user segmentation and filtering, bid optimization, and pacing—continuously improving the quality and effectiveness of ad campaigns. 2. Regularly review and optimize advertising strategies for the assigned platform. Adjust strategic direction in a timely manner based on market dynamics, user behavior changes, and performance feedback to ensure continued efficiency and effectiveness. Ad Creative Planning & Optimization 1. Collaborate with the design team to plan compelling and conversion-driven ad creatives, including ad copy, images, videos, etc. Guide the production process to ensure the content effectively captures user attention and drives action. 2. Continuously optimize creative content using methods such as A/B testing. Analyze performance data of different creative versions to identify user preferences and behavior patterns, iterating to improve key metrics such as CTR and conversion rate. Data Analysis & Performance Evaluation 1. Collect, organize, and analyze real-time advertising data, including impressions, clicks, conversion rates, cost metrics, etc., to gain deep insights into campaign performance and user behavior. 2. Produce detailed and professional performance reports regularly, using data visualization to clearly present results. Identify issues and opportunities, and propose actionable optimization recommendations and solutions to support informed decision-making. 3. Leverage data analysis to segment users and build user profiles, gaining a thorough understanding of different audience groups’ characteristics and needs. This enables highly targeted advertising and improved return on investment.
1、策略规划与业务增长：负责制定直播推荐的整体策略和规划，聚焦提升直播内容分发效率与精准度，通过优化推荐算法逻辑、研究用户与内容生态匹配度、设计差异化推荐策略等方式，实现看播用户规模与活跃度的增长目标，推动业务持续发展； 2、内容推荐泛化与区域增长：主导直播内容推荐的泛化策略，拓展内容与用户群体的多样性，挖掘未被满足需求的用户群体，针对不同内容偏好设计推荐增长策略；同时，制定重要国家与地区的特色推荐增长方案，提升区域用户粘性与市场占有率； 3、数据驱动策略优化：通过深度的用户调研和多维度数据分析，洞察用户行为模式与内容消费偏好，明确用户分层逻辑；依据不同用户群体特征，构建个性化推荐策略模型，以数据为支撑持续迭代优化推荐策略； 4、用户分层与精准推荐：对用户进行精细化分层管理，针对各层级用户的行为习惯、兴趣偏好制定差异化的推荐产品策略与运营方案，提升用户对推荐内容的满意度与忠诚度，挖掘用户增长潜力。
1、运用提示词工程等前沿技术重构数据标注体系，设计多维度数据质量评估机制，与数据标注、算法等团队紧密协作，通过流程优化实现数据生产效率与标注准确率的双重提升，为产品的数据基础提供有力保障； 2、主导建设大模型的评估标准与体系，全面负责大模型的评测工作，确保评估的准确性与科学性，以此作为产品优化和迭代的重要依据； 3、深入分析评测数据，生成详细报告，为模型优化提供有力的数据支持和建设性建议，推动产品核心功能的不断完善；协调算法、标注、产品等各方资源，紧密合作高效推进大模型项目，制定合理的项目计划并保障其按计划顺利进行，确保产品按时上线； 4、持续跟踪行业最新技术动态，引入先进的方法和工具，持续提升标注效率和质量，为团队大模型应用提供前瞻性的建议和策略，把握产品的发展方向。