K
Kissterra builds a marketing operations platform purpose-built for insurance carriers, with a heavy focus on data infrastructure and machine learning. The tech stack reveals a mature data-ops foundation (Spark, Airflow, AWS EMR, Iceberg) paired with real-time bidding ML (active projects cite ML bidding algorithms and GenAI data querying), suggesting the platform is evolving beyond campaign management into predictive optimization. Hiring skews data-heavy (4 of 9 roles) at senior/manager levels, consistent with scaling ML models and data pipelines — both flagged as active challenges.
Tech Stack 43 technologies
Core StackPython AWS C# Node.js Docker Kubernetes React Apache Spark Iceberg AWS Glue PySpark pandas Apache Airflow GitHub Actions Meta Instagram TikTok Taboola Outbrain Excel Looker Studio SQL GCP Azure .NET Framework NET Core React Testing Library AWS EMR Athena boto3+13 more
What Kissterra Is Building
◆Challenges
- Enhancing digital presence
- Optimizing marketing budgets
- Scaling data pipelines
- Optimizing partner performance
- Optimizing roi
- Uncovering hidden growth opportunities
- Performance and cost optimization
- Scaling ml models
- Expanding partner network
- Increasing publisher acquisition
▲Active Projects
- Digital advertising performance campaign management
- Creative a/b testing optimization
- Advanced user acquisition strategy development
- Machine learning bidding algorithms
- Genai data querying
- Scalable production poc
- Modern scalable data platform
- Scalable data pipelines on aws
- Analytics-ready datasets using spark
- Building ml algorithms for bidding
Hiring Activity
9 roles · 4 in 30d
Department
Seniority
Company intelligence
