Appealing Points
Annual Salary: ¥8,000,000 and above
Job Description
The essential mission of this position is to maximize customer value through product, data science, and AI. As Product Manager leading the planning and development of the company's proprietary AI platform, you will drive client business success by working closely with both the business side (consultants, business development) and the technical side (engineers, data scientists). You will act as a two-way translator — structurally interpreting customer challenges surfaced by the business side into technically feasible requirements, while translating the technical constraints and possibilities of data science, software, and generative AI (including LLMs) into terms the business side can understand. The role combines the company's accumulated statistical analysis expertise with AI-driven automation and efficiency to build an ecosystem that is directly embedded in customer decision-making processes and drives tangible results.
Job Responsibilities
Product Planning and Strategy
Requirements Definition and Prioritization
Development Process Management
Product Quality Improvement
Required Qualifications
Preferred Qualifications
Language Required - Fluent level Japanese and Business level English
About Company
Founded in Tokyo in 2012, Company is a data science firm that redefines the structure of organizational decision-making.
For over a decade, we have partnered with Japan's leading enterprise brands to decode market mechanisms, quantify competitive dynamics, and build the scientific foundation for strategic advantage. That work — rigorous, applied, and deeply embedded in client operations — distinguishes us from firms that deliver analysis and stop there.
We define our offering as "AIDE": AI Decision Engine. It connects insight to strategy to execution, embedding a continuously evolving decision-making structure into the organization itself. The goal is not better data. It is leadership that acts with conviction, and decisions that compound over time.
. Skillset Required: AI platform development, Product management, Stakeholder engagement, Statistical analysis, Data science, AI, Generative AI, LLMs, Business development, Cross-organizational communication, Product planning, Strategy definition, Requirements definition, Prioritization, Agile methodologies, Scrum, Project management, AI-driven development, Product quality improvement, Data analysis, Post-release effectiveness measurement, AI knowledge maintenance, B2B product management, Statistical products, Mathematical models, Marketing strategy, Effectiveness measurement, Business structure reform, Japanese language proficiency, English language proficiencyBy continuing you agree to our Terms & Privacy Policy.