SmartRecruiters, founded in 2010 and headquartered in San Francisco, builds an AI-powered hiring platform that handles talent acquisition at enterprise scale. The core attack surface here is recruiting workflow automation - the SmartRecruiters Platform deploys machine learning across the full hiring pipeline, used by over 4,000 companies in 120+ countries, including Amazon, Visa, and McDonald's. Winston, an embedded AI companion, sits inside the platform to handle hiring-specific tasks, while SmartOS provides the underlying adaptive talent operating layer designed for speed and scale.
The company runs a team of 450+ employees across technical domains spanning AI/ML, recruiting technology, and enterprise software. From a security perspective, the threat model is significant: the platform processes massive volumes of candidate PII - names, resumes, employment histories, contact details - across global deployments subject to GDPR, CCPA, and regional data protection regimes. Any compromise of that data pipeline at the scale of thousands of enterprise customers represents a high-value target.
Engineering at SmartRecruiters operates across AI model development, platform infrastructure, and enterprise integration layers. The team's stated values emphasize autonomy and continuous learning, which in practice likely translates to engineers owning their domains end-to-end. The challenge set: securing and scaling an AI system where the data is people's careers and the trust surface is enormous.
