Appealing Points

  • Rare opportunity to define a groundbreaking "AI-native product" category from scratch, shaping both business and technology sides of a new product paradigm
  • Ability to drive high-impact AI initiatives at the management decision-making layer, leveraging the company's deep expertise in statistical analysis (MMM) combined with enterprise consulting relationships
  • Cross-organizational influence as the key bridge between business stakeholders (consultants, business development) and technical teams (engineers, data scientists), rather than being confined to a single domain

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

  • Define the direction of the product and data science ecosystem, from discovering customer challenges to creating a development roadmap

Requirements Definition and Prioritization

  • Based on input from customers and the market, collaborate with engineers, data scientists, and strategy/business consultants to organize AI-native business processes, value streams, functional requirements, and improvement points
  • Determine implementation priorities and development schedules
  • Identify key use cases and develop application prototypes on the AI platform

Development Process Management

  • Drive projects using agile, AI-driven development methodologies
  • Coordinate with internal and external stakeholders and manage resources
  • Identify, design, and evaluate key AI scenarios

Product Quality Improvement

  • Evaluate the product based on user feedback and data analysis, and plan improvement measures
  • Collaborate with the Product Marketing Manager (PMM) on post-release effectiveness measurement and ongoing growth initiatives
  • Drive the maintenance plan for AI knowledge

Required Qualifications

  • Practical experience in product management, engaging with product outcomes while involving a wide range of stakeholders
  • Foundational knowledge of LLMs and generative AI — a solid understanding of their technical characteristics and use cases
  • Strong interest in AI-driven development, with a commitment to self-directed learning in AI-native software design and development
  • Deep domain knowledge in at least one business area, including a strong understanding of customer challenges and business structure

Preferred Qualifications

  • B2B (enterprise) product management experience, leading the planning and development of products for enterprise clients
  • Experience managing development projects using agile/scrum methodologies
  • Experience developing and managing products that incorporate LLMs or generative AI
  • Work experience with statistical or mathematical products, involving statistical analysis or mathematical models
  • Knowledge of marketing strategy and effectiveness measurement
  • Experience driving business structure reform through business management or planning, with demonstrated results

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 proficiency
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