▼ Responsibilities
Build and improve the big data infrastructure (on the order of tens of TB) that supports the "SaaS + Database" service.

You will be responsible for one or more of the following:
・Building or improving pipelines for web data crawling
・Data cleansing and enrichment processing
・Building a quality monitoring environment aimed at improving data quality
・Improving the data infrastructure to make it more scalable and cost-efficient
・Designing the data infrastructure and data quality framework with future data science use in mind

▼ Tech stack
- Data collection
- Python (Scrapy)
- AWS Fargate for Amazon ECS
- Amazon Managed Workflows for Apache Airflow
- Data store
- Amazon S3
- Amazon Aurora PostgreSQL
- Data transformation
- Apache Spark on Databricks
- Others
- GitHub
- Slack
- Notion
- Asana
- Google Workspace
▼ Internal tools
Slack / GitHub / Notion / Asana / Google Workspace


*SalesNow develops SaaS centered on "Generative AI × Large-Scale Database" to fundamentally change the way sales activities are carried out.
With more than 14 million company records and only around 20 full-time employees, the company has already achieved PMF.
Now, just ahead of Series B, SalesNow is entering a new stage of rapid growth as one of Japan’s largest AI-powered company data clouds.
In Japan, where super-aging and population decline are advancing, it is increasingly important for limited human resources to achieve higher productivity.
By harnessing the power of AI and data, we are building new infrastructure that removes inefficiencies in sales operations and supports business growth.

We are currently strengthening our product-side organization and looking for founding members who will help shape the future of SalesNow within a startup development organization just before Series B.
Would you like to use the experience you have built so far to create a business with us that fundamentally solves deep-rooted workstyle issues and becomes the culmination of your career?