Crisp operates a grocery-delivery platform in the Netherlands and Flanders with a data stack built on BigQuery, PostgreSQL, dbt, and Looker. The company is actively developing in-house AI agents (Slack integration confirmed) and building recommendation systems while simultaneously scaling a new B2B unit — a dual focus that shows product diversification beyond direct-to-consumer delivery. Hiring is weighted toward mid-level ops, data, and sales roles, with accelerating velocity, suggesting infrastructure strain during growth.
Tech Stack 18 technologies
Core StackBigQuery PostgreSQL dbt Looker Apache Airflow Kubernetes Python TypeScript React Native PHP JavaScript Go Polars Git SQL Android iOS
AdoptingSlack
What Crisp Is Building
◆Challenges
- Pricing optimization
- Warehouse traffic monitoring
- Recommendation engine improvement
- Automating administrative processes
- Monthly reporting cycle
- Rapid growth of new b2b unit
- Defining structured sales processes
- Improving operations for new business unit
- Process improvement for new business unit
- Keeping warehouse inventory low
▲Active Projects
- Identify opportunities for new food service and retail proposition
- In-house ai agent development
- Recommendation data product development
- Warehouse traffic tracking
- Business case
- Automating administrative processes
- Define structured sales processes
- Process improvement for new business unit
- Slack integration for in-house ai agent
- Sql training program
Hiring Activity
10 roles · 7 in 30d
Department
Seniority
Company intelligence