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Riskified Tech Stack
AI-powered fraud detection and chargeback protection for ecommerce
Riskified operates a real-time fraud and chargeback protection platform serving high-volume ecommerce merchants. The tech stack reveals a company built for streaming decisioning: Kafka, Pulsar, Flink, and Spark Streaming form the backbone, with Databricks and CockroachDB handling feature compute and identity data at scale. Active adoption of Kubernetes ecosystem tools (EKS, Karpenter, Istio, Argo CD) signals infrastructure modernization, while hiring momentum skews sales-forward—reflecting a shift from product-led to merchant-led go-to-market as they tackle chargebacks and retention at enterprise scale.
Tech Stack 57 technologies
Core StackPython Apache Spark Databricks Salesforce Apache Kafka Apache Flink JavaScript Scala TypeScript Kafka CockroachDB Redis Apache Airflow Kubernetes Prometheus Grafana Cursor Ruby on Rails Node.js React R SQL Salesforce Flow Apache Pulsar Spark Streaming Kafka Streams WebGL AWS SQS Aerospike Claude+19 more
What Riskified Is Building
◆Challenges
- Reducing chargebacks
- Maximizing merchant retention
- Fighting fraud at scale
- Protecting against chargebacks
- Integrating ai into daily sales workflows
- Sales pipeline building
- Sales process fluency improvement
- Fight fraud and policy abuse at scale
- Identifying upsell opportunities
- Scaling sourcing capabilities
▲Active Projects
- Global enablement strategy
- Live virtual learning programs
- Fraud-prevention solutions
- Representing at industry events
- Customer usage analysis and upsell identification
- Customer onboarding and platform adoption
- Value-based sales opportunities for enterprise clients
- B2b product portfolio marketing strategy
- Scalable training content
- Ai-driven enablement program rollout
Hiring Activity
Steady50 roles · 20 in 30d
Department
Seniority
Notable leadership hires: Merchant Health Director
Company intelligence
