About the Role

We are building an AI-native learning platform for children worldwide, providing them with a truly personalized and continuously evolving learning experience through AI Tutor, voice interaction (ASR/TTS), Agent Workflow, and large-scale model capabilities.

Our product iterates rapidly, with data serving as the foundation for driving AI decision-making and growth. We are looking for a data product manager in the early stages of their career who has already integrated AI into their work—you don't need to have accumulated years of experience in the "pre-AI era" manually, but you must already be accustomed to using AI to multiply your output several times over.

Key Responsibilities

• Support the team's event tracking and metrics system: Analyze business events, define event tracking plans, and maintain core metric definitions to ensure data reliability and reusability.
• Build a growth and retention analysis dashboard based on the global ToC user lifecycle (AARRR), translating user behavior into insights directly usable by the product and growth teams.
• Participate in the accumulation of user data assets and learning behavior data, structuring children's learning processes/outcomes into quantifiable metrics to provide data support for AI Tutor and course optimization.
• Participate in data work for AI product evaluation (collection and presentation of metrics such as Prompt/Agent/LLM quality and learning effectiveness), helping the team understand the effectiveness of AI teaching.
• Support the implementation of A/B experiments: Define experimental metrics, analyze results, and provide actionable conclusions.
• Collaborate with algorithm, data engineering, growth, and product teams to accelerate the implementation of data requirements.

Requirements

• Native AI working style (core requirement): You have integrated AI tools (such as Claude/Cursor) into your daily work—using them to write/call SQL, draft PRDs and event tracking plans, and perform data analysis and documentation; you instinctively think, "Can this step be automated?" when encountering repetitive tasks. During the interview, you will be asked to demonstrate how you use AI for data PM work.
• Broad knowledge and clear concepts: You understand the basic principles of event tracking, data warehousing, indicator systems, and data dashboards, and how they are interconnected; we don't require extensive practical experience in pre-AI eras, but you must be able to implement these end-to-end with AI assistance.
• SQL and basic data modeling skills; you can understand data and verify conclusions by generating data yourself. Understand the basic concepts of AI products (LLM, Agent, Prompt, Evaluation) and know how they generally work.
• Understand the basic logic of user growth and experimental design (AARRR, A/B testing).
• Strong structured thinking skills, steep learning curve (slope > years of experience), able to independently bring a project to completion with oversight.
• Excellent English reading and writing skills, able to support global team collaboration.

Bonus Points

1. Overseas ToC product experience, OPC background preferred.
2. Education, subscription, or consumer internet background.
3. Experience with Recommendation/Personalization/Learning Analytics.
4. Understanding of AI Evaluation, Prompt Engineering, RAG, or LLM data loop.
5. Understanding of children's data compliance (COPPA, GDPR-K).
6. Personal projects or case studies demonstrating the use of AI tools to build gadgets/automate processes.