关于本岗位：

我们正在寻找一位专注用户画像与数据智能的产品经理，主导AI用户画像平台的规划与建设。你将与算法、数据、业务团队紧密协作，为推荐系统、AI Agent、AI创作与智能助手等场景提供统一的用户理解与个性化能力，让产品更懂用户、更有温度。

岗位职责：

· 产品规划与迭代：负责AI用户画像平台的规划、设计与持续迭代，构建面向推荐、Agent、AI应用等场景的统一用户理解与个性化能力，确保产品落地与价值交付；

· 画像体系建设：主导用户画像数据接入、治理与分析，搭建覆盖用户属性、兴趣偏好、行为模式、实时意图、上下文及长期记忆（Memory）的多维画像体系，并基于用户反馈与模型反馈持续驱动画像质量提升，形成数据闭环；

· 场景价值交付：推动用户画像在推荐、Agent、AI创作、智能助手等核心业务中的应用，衡量并提升个性化体验、模型效果与业务收益；

· 协同与落地：协同业务、开发、算法、数据等团队，制定产品路线图并推进执行，保障画像平台能力与AI能力的高效落地；

· 能力沉淀与洞察：跟踪AI、大模型、Agent等领域的技术演进，洞察业务诉求与用户需求，抽象可复用的通用产品能力和数据解决方案。

任职要求：

· 3年以上互联网产品经验，具备出色的产品分析与系统设计能力，熟悉画像产品或数据产品的设计与研发流程；

· 具备扎实的数据洞察力，掌握用户画像、标签体系、数据治理等相关方法，能结合复杂业务场景产出面向AI场景的产品解决方案；

· 理解大模型（LLM）、Agent、RAG、Memory等AI技术的基本原理，熟悉AI应用的数据流与产品架构，能够借助AI能力驱动产品创新；

· 具有优秀的跨团队沟通与项目管理能力，能有效推动业务、算法、研发等多方协作，对产品效果和业务价值负责；

· 用户视角敏锐，业务意识强，善于从本质出发持续推动画像能力从静态标签向动态用户理解演进，不断提升产品竞争力。

加分项：

· 具备用户画像、推荐系统、数据平台或AI产品相关经验；

· 有计算机视觉、多模态、推荐算法、广告平台、AI Agent或AIGC产品经验；

· 有将画像能力应用于大模型/Agent场景的实践经历。

AI Product Manager – User Profiling Platform

About This Role:

At Meitu, we are building a unified AI user profiling platform that enables personalized experiences across recommendation engines, AI agents, creative tools, and more. As a Product Manager for this platform, you will own its strategy and execution—defining how we understand millions of users through rich, multidimensional profiles and continuous feedback-driven refinement. You will operate at the intersection of data infrastructure, AI innovation, and product thinking, directly shaping the future of intelligent personalization at a global AI imaging company.

Key Responsibilities:

· Define the product vision, roadmap, and detailed requirements for the AI user profiling platform, driving delivery from initial concept through launch and iterative optimization;

· Lead data integration, governance, and analysis efforts to construct a comprehensive user profile system covering attributes, interests, behavioral patterns, real-time intent, context, and long-term memory, and establish a closed-loop process for ongoing quality improvement;

· Drive the adoption of user profiles across core business scenarios—recommendation systems, AI agents, AI-powered creation tools, and intelligent assistants—to measurably improve personalization quality, model performance, and business outcomes;

· Collaborate closely with business, engineering, algorithm, and data teams to align product plans, orchestrate execution, and ensure the successful deployment of platform capabilities and AI innovations;

· Monitor industry trends and the evolution of LLM, agent, and related AI architectures, and translate business and user needs into generic product capabilities and reusable data solutions.

What You Bring:

· 3+ years of internet product experience, with strong product analysis and system design skills and familiarity with the design and development lifecycle of data-intensive or profiling products;

· Sharp analytical mindset with hands-on knowledge of user profiling, tagging systems, and data governance, and the ability to translate complex business scenarios into product solutions for AI-driven contexts;

· Solid understanding of fundamental principles behind large language models, agents, RAG, and memory architectures, along with the data flow and product architecture of AI applications, enabling you to drive product innovation through AI capabilities;

· Excellent cross-functional communication and project management skills, with a demonstrated ability to align business, algorithm, and engineering stakeholders and take accountability for product outcomes and business impact;

· Deep user empathy, business acumen, and product mindset, with a drive to evolve user profiling from static tags toward dynamic, adaptive user understanding and continuously strengthen product competitiveness.

Nice to Have:

· Prior experience in user profiling, recommendation systems, data platforms, or AI product roles;

· Background in computer vision, multi-modal systems, recommendation algorithms, advertising platforms, AI agents, or AIGC products.