Pipl operates a 5-billion-identity graph for real-time fraud prevention and identity verification, serving multinational organizations. The tech stack reflects a mature platform: Python + Java + React for application tier, Kafka + Redis for streaming, Kubernetes + GCP/AWS/Azure for multi-cloud infrastructure, and modern observability (Prometheus, Grafana, Loki). The hiring mix—engineering and sales equally weighted, plus a data team—points to a company in sales-led growth mode while managing scale challenges in data ingestion and integration.
Pipl provides identity-based fraud prevention and verification services to multinational organizations. The platform aggregates identity data at scale (5+ billion identities) to enable real-time risk decisions during signup, transaction, and investigation workflows. The company sells through a direct enterprise motion, with active projects focused on reducing sales friction, onboarding new customer segments, and expanding technical integrations. Current pain points center on retention and upsell mechanics (contract renewal, renewal risk, upsell identification), alongside operational efficiency in sales productivity and integration delivery.
Core: Python, Java, React, Django, FastAPI, Spring. Data/streaming: Kafka, Redis, SQL. Infrastructure: Docker, Kubernetes, GCP, AWS, Azure. Observability: Prometheus, Grafana, Loki. DevOps: GitHub Actions, ArgoCD, Terraform, Crossplane.
Yes. Engineering roles account for 4 of 10 active openings, split across senior (majority) and mid-level seniority. Hiring in United States and Israel.
Post Falls, Idaho. The company is privately held, founded in 2005, and employs 51–200 people.
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