A global powerhouse in edtech! We are looking for a ‘Product Manager’ to lead the planning of new product and engine development based on 970 million learning behavior data to change the future of AI education at CatchitPlay.
At Catchit, the PM will not be confined to one product but will handle multiple tasks simultaneously, managing two types of work together.
• Creating the service directly - Design user flows, wireframes, and data structures; prototype development using AI tools; lead the entire product launch process in collaboration with designers and front-end developers.
• Improving products/engines with data and AI - Explore the accumulated 10 years of learning data to derive core insights, rigorously validate hypotheses through A/B testing, and review modeling possibilities in collaboration with ML engineers to enhance product performance.
If you believe that screen details and data validation must work together, you are a great fit.
Catchit operates and launches multiple products simultaneously, so PMs are not confined to one product. You will be deployed to products that have significant impact over time, while also creating an analysis, experimentation, and recommendation infrastructure that spans all products.
A. Product Design & Launch (~60%)
• Product PM Role — Participate in priority decision-making from a company portfolio perspective.
• Core Experience Design — Directly design and validate information architecture (IA), user flow, and interactions for key domains such as learning UX, admin, and reports.
• AI/UX — Design the user interface to ensure that the recommendations and personalization results of ML models provide the optimal user experience. (The PM is responsible for the completeness of the user experience.)
• Leading Product Cycle — Manage the entire product launch process from writing PRDs to design QA and release notes management.
• First User — Enhance product completeness by reviewing scenarios as the 'first user' before launch.
B. Data, Experiments, and Model Collaboration (~40%)
• Data-Driven Hypothesis Establishment — Analyze over 10 years of accumulated internal data to derive hypotheses and state them in PRDs based on quantitative evidence.
• Leading Experimental Environment — Plan and operate A/B tests, collaborating with engineers to build and enhance internal experimental infrastructure (such as exposure distribution and metric dashboards).
• Technical Metric Translation — Discuss model operations and failure points with ML engineers, translating model metrics (such as Macro F1, NDCG) into user-perceived value.
• User Interviews + Align Roadmap with ML, Data, Design, CS, and Sales.
• PM experience of 5 years or more — Must have launched, operated, and improved at least one product (B2B SaaS or B2C). Candidates with less than 5 years may be considered if the breadth and depth of experience are validated.
• Hands-on experience with tools like Figma to create wireframes, flows, and interactions, and in-depth collaboration experience with designers and front-end developers.
• UX Detail Sensibility — Candidates who can naturally handle empty states, errors, and loading. Ability to write PRDs.
• Proficiency in SQL + Experience in A/B test operation** — Must be able to directly handle hypothesis, sample size, and result interpretation.
• PM experience with products utilizing AI recommendations and personalization, or experience leading and improving user experiences in collaboration with model/data teams — Domain-agnostic, understanding of planning and modeling is essential.
• Practical skills in using LLMs: Experience using LLM tools like ChatGPT and Claude to solve bottlenecks in planning and analysis and enhance product quality.
• Expertise in edtech and gamification: Deep understanding of online learning domains, and experience in designing motivational mechanisms through gamification.
• B2C and B2B product experience: Experience in product planning and market launch that encompasses various business models (B2C/B2B).
• Global business and communication: Experience launching global services in Japan, Southeast Asia, and the USA, and fluent in English for business communications.
• Market and policy insights: High understanding of market trends and policies in education, such as K-content, public education systems, and AI digital textbooks (AIDT).
• Academic background**: Understanding and related experience in logical foundations of product design fields such as learning science, cognitive science, HCI, statistics, and psychology (major, research, practical application, etc.)
Benefits and Work Environment
• 🏠 Full remote working environment - A productive work environment based on full remote work that allows you to work anywhere in the country.
• 📊 Stock option operation - Stock options for key R&D personnel (subject to review after one year of stable employment).
• 📈 Global growth experience - Core experience of products that are growing globally, targeting 10 million downloads (including Google features, etc.).
• 💼 Core system development experience - Directly involved in the infrastructure and system development of a unique business core area where games and AI are integrated.
• 🌴 Jeju office & refresh - Support for refreshment, such as the possibility of working at the Jeju headquarters office.
• 📚 Self-development support - Support for self-development such as books and online lectures.
• 💪 Health management support - Support for health check costs / in-house health management programs.
• ❤️ Fun exercise and play culture - Create a joyful exercise culture of competition and cooperation through monthly exercise challenges.
• Submission documents — Resume, cover letter, portfolio, or samples of work you have created (clearly state the parts you worked on).
• Recruitment process — Document and portfolio review → 1st practical interview (online) → 2nd interview (online) → Final interview (offline) → Announcement of results.
• There may be assignments (under 1 day of work) or tests during the interview process.
[For details, refer to the Notion page below]
https://catchitplay.notion.site/AI-Product-Manager-36098f74ee5a80759449d4fa50c1ce8b
