AI Data Product Lead

■About the Product & Business The platform stands as one of the world's largest anime and manga communities and databases, used by 20 million monthly users across 244 countries and regions. The corporate group is currently launching and scaling a new B2B SaaS product that combines this global entertainment fan data with AI technology, positioning it as a core pillar of its organizational strategy. This product leverages data and AI to transform critical decision-making processes within the entertainment industry—such as hit prediction, prioritization of overseas expansion, and establishing quantitative grounds for licensing negotiations—which historically relied heavily on individual experience and intuition. ■About the Position Serving as the core of the AI Data Business, this leadership role works alongside the Business Head to drive both business and product strategies using data science as a primary leverage. What the company seeks in this position is not someone who simply focuses on "how to process existing data." Rather, the role demands starting from the ground up by designing strategies for "how to acquire missing data," envisioning what kind of business impact can be generated by applying specific data to specific problems, and executing that vision. Furthermore, data science forms the very foundation of the product's core logic. Instead of a traditional "analyze and hand off" approach, the successful candidate is expected to act as the architect and decision-maker for the product's underlying logic, taking full accountability for both product and business outcomes. Formulating high-quality business hypotheses directly correlates with a deep understanding of the anime and manga domain. ■Responsibilities ・Identification of business opportunities and design of analysis methodologies based on fandom data (including strategic planning for acquiring uncollected data). ・Design and decision-making for core data product logic (such as scoring, recommendation engines, and analytical models). ・Problem definition, analysis, extraction of insights, and strategic proposal formulation in collaboration with internal departments and partner companies. ・Proposal creation, reporting, and documentation (including narrative and story design) to translate analytical insights into actionable business decisions. ・Standardization (templating) of analytical frameworks, alongside automation and operational design leveraging AI agents. ・(Optional) Data modeling/datamart design, and API/backend implementation. ■Position Highlights ・Work at the core of the business with MAL fandom data, a virtually unparalleled asset covering 20 million monthly users across 244 countries and regions. ・Move beyond passive analysis to take direct responsibility for the product's underlying logic and business expansion decisions. ・Exercise the authority to span data science, engineering, and business strategy—breaking down boundaries that are typically siloed in traditional data scientist roles. ・Deliver data-driven proposals directly to major entertainment decision-makers, backed by a shareholder base comprised of publishing, anime, and gaming giants. ・Join during the launch phase of an AI data business that has become the mainstream organizational strategy, allowing you to personally define analysis templates, evaluation standards, and operational frameworks. ■Technical Environment ・Languages: Python (Required), Go (Preferred), TypeScript (As needed) ・Cloud Platform (GCP): BigQuery, Google Kubernetes Engine (GKE), Cloud Spanner, Cloud Composer ・Tools & Infrastructure: Terraform, dbt, Steep, Redash, Looker Studio Job Requirements ■Required Expertise and practical experience in data science ・Experience in data analysis, model building, and implementation using Python ・A fundamental understanding of the principles of statistics and machine learning, and the ability to select the most appropriate methods for specific challenges ・Ability to solve business problems and propose strategies ・Experience independently gathering and organizing information on business and client challenges, and taking the lead from analysis and design through to deriving insights and making proposals ・Ability to envision what business impact can be generated by analyzing specific data ・Data design skills ・Ability to go beyond simply analyzing existing data and think through the process from defining “data to be collected” to designing its acquisition ・Passion for and domain knowledge of the anime and manga industries (required) ・Ability to formulate hypotheses based on an understanding of works, genres, production/publishing, markets, and fandoms ■Preferred ・Experience in designing and developing the logic for data products and machine learning systems ・Experience in data-driven planning, proposal development, and client negotiations, either at a consulting firm or a corporate client ・LLM/agent design (prompt design, tool design, evaluation, and improvement) ・Experience in backend development (e.g., using Go) and API implementation ・Practical experience in data modeling and data mart design ・Practical experience in A/B testing, causal inference, and marketing analysis ・Experience leading teams and projects