AI-ready governance platform for privacy, data, and vendor risk
OneTrust operates a governance platform spanning privacy management, data mapping, vendor risk, and incident handling — built on Java microservices across Azure, AWS, and GCP. The stack incorporates ML inference (SageMaker, Vertex AI) and LangGraph, pointing toward AI-assisted compliance workflows. Hiring velocity is accelerating with a sales-heavy mix (49 open roles) paired with engineering (34), suggesting land-and-expand motion scaling faster than product capacity can sustain; pain points cite both customer acquisition and revenue growth from existing accounts.
Notable leadership hires: Sales Director
OneTrust is a governance platform used by over 14,000 customers globally, including more than half of the Fortune 500, to manage privacy compliance, data governance, vendor risk, and incident response. The product surface includes data mapping automation, cookie compliance scanning, privacy impact assessments, subject access request handling, and readiness evaluation across regulatory frameworks like GDPR. The company operates across nine countries with engineering and sales centers distributed internationally, reflecting a mature, multi-region go-to-market. Core technical challenges center on scaling microservices architecture and reliability under rapid demand growth.
OneTrust's primary stack is Java, Spring Boot, Kafka, and SQL, deployed across Azure, AWS, and GCP. Frontend uses React and Angular. ML inference runs on Amazon SageMaker and Vertex AI. Security scanning uses Burp Suite and Wiz; infrastructure automation via Kubernetes and Jenkins.
Primary projects include Java microservices development for AI governance, cloud infrastructure and automation frameworks, landing and expanding key accounts, and UX improvements across web applications and the core product offering.
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