Data Engineer (Product)
Frontier labonsitemid-level
At a glance
Highlights
- Build data infrastructure from scratch as the product team's first data engineer.
- Enable AI to autonomously analyze product data and drive exponential growth.
- Transform event logs and LLM inference data into analysis-ready form.
Ideal candidate
A builder-minded data professional who loves owning systems 0-to-1 and turning messy product data into clear insights. Motivated by cutting-edge AI, thoughtful privacy design, and global collaboration.
Requirements
- 3+ years of hands-on experience in data engineering or analytics engineering in large-scale production environments
- Strong SQL skills and data modeling experience, including pipelines accounting for regulations and personal information protection
- Hands-on experience with Google Cloud and data warehouses such as BigQuery, Databricks or Snowflake
- Hands-on experience with Airflow, dbt, Terraform and Docker
- Understanding of LLM fundamentals and ability to incorporate latest AI research
- Ability to communicate in English
- hiring process
- Submit CV and cover letter in English; technical assignment after document screening
Lab profile
About Sakana AI
Tokyo AI lab building nature-inspired generative AI, LLMs and recursive self-improving systems for enterprise use.
What they build
- Sakana Chat
- Sakana Marlin
- Sakana Fugu
Known for
- Collective intelligence
- Model orchestration
- Recursive self-improvement
- Large language model development
Key facts
- Founded in 2023
- Headquartered in Tokyo, Japan
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