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About the Role
Product Data Foundation is a new team launching in October 2026 under MK Core Product. If you join before then, you will temporarily be assigned to MK Core Product > Matching team. The team's mission is to design, build, develop, and operate the Product Data foundation to enable value creation by the Value Stream teams. We aim to take a holistic view of how each Value Stream team uses the data and achieve global optimization as a Data Platform. As a team of professionals in the Product Data domain, we proactively improve planning quality and uncover new use cases.
Responsibilities
- Defining data requirements together with each Value Stream team
- Gather use cases and pain points from teams such as JP Marketplace, mdepa, and GOP, and translate them backwards from intended usage into concrete data requirements (target categories, granularity, attributes, quality standards)
- Look across multiple use cases so that requirements are not locally optimized for a single team
- Building data by leveraging AI and Operators
- Beyond hands-on work, direct AI (automated mapping, attribute enrichment) and Operators (manual construction) to deliver data with both quality and speed
- Lead the Human-in-the-loop design: what AI handles versus what people review
- Automating and streamlining data construction with AI
- Continuously review the construction process and increase throughput through AI-driven automation and mechanisms
- Standardize it into a repeatable process and roll it out across categories
- Collaborating with Product Managers, Operators, and Backend Engineers
- Align with Product Managers on the overall vision and roadmap for Product Data, and decide priorities and approach for your categories
- Work with Backend Engineers to define improvement requirements for data integrations, the data platform, and admin tools
Requirements
- Experience driving alignment and decision-making on requirements with multiple internal and external stakeholders (stakeholder management)
- Experience defining and executing on the "ideal state" with a customer- and business-oriented mindset, rather than acting purely as a coordinator or task owner
- A proactive mindset toward AI adoption, including hands-on experience introducing or using AI in business processes to drive improvement
- Experience in data quality or data operations work (data construction, master data management, business process design, operations direction, etc.)
- Japanese: Proficient (CEFR C1 or above) Required
- English: Preferred (Independent, CEFR B1 or above; some Value Stream teams such as XB are English-speaking)
Skills
- SQL
- Data construction
- Master data management
- Business process design
- Operations direction
- Domain knowledge or strong interest in specific categories such as ACGE, fashion, or home appliances
- Experience standardizing and systematizing operations using AI or automation tools
- Experience directing Operators or outsourced teams
- Experience defining product requirements in collaboration with PdMs and engineers
Location
- Roppongi
Work Type
- Full-time
- Full Flextime (no core time)
Experience Level
- Mid-level
About the Company
- Circulate all forms of value to unleash the potential in all people
- We believe that by circulating all forms of value, not just physical things and money, we can create opportunities for anyone to realize their dreams and contribute to society and the people around them.
- Mercari aims to use technology to connect people all over the world and create a world where anyone can unleash their potential.
Equal Opportunity
- Mercari is committed to eliminating discrimination based on age, gender, sexual orientation, race, religion, physical disability, and other such factors so that anyone who shares our mission and values can join us, regardless of their background.