Data Engineer

A Product Data Engineer role at a generative-AI research company creating unique nature-inspired AI technology. As the product team's first data engineer, the role builds the data infrastructure that lets AI autonomously analyze data and drive exponential growth, owning end-to-end from data model design through acquisition, transfer, transformation, and infrastructure build and operation. Responsibilities include building and operating pipelines that turn product event logs and API-usage data into analyzable form, designing data models for product and business metrics and building an AI-ready semantic layer, safely and efficiently transferring and storing AI-specific data such as LLM inference logs and user interactions, designing anonymized-information handling compliant with personal-information law, leading data quality and observability, and building tracking, dashboards and reporting with PdMs and engineers in a global Japanese/English team. Required skills include 3+ years of data or analytics engineering in large-scale production, SQL and data modeling, Google Cloud experience with data warehouses (BigQuery/Databricks/Snowflake), Airflow/dbt/Terraform/Docker, understanding of LLM principles, English communication, and business-level+ Japanese. Tokyo (hybrid). Full-time (or contract).