End-to-end hiring platform from sourcing through onboarding
Greenhouse operates a hiring platform spanning sourcing, candidate management, and onboarding for mid-market and enterprise customers. The tech stack reveals a production-grade infrastructure (AWS, Kubernetes, Terraform, Argo CD) paired with a heavy ML/AI focus—PyTorch, Hugging Face Transformers, and multiple active projects around predictive analytics, LLM guardrails, and AI agents for hiring. The shifting project portfolio ("transition to ai-first strategy", "securing ai/ml workflows", "ai agents") indicates a strategic pivot toward AI-native hiring workflows, though security expertise remains a documented gap.
Greenhouse builds a comprehensive hiring platform that consolidates recruiting, candidate evaluation, and onboarding into a single system. The product serves over 7,500 companies spanning diverse industries and company sizes. The platform is structured around collaborative hiring workflows, fair evaluation practices, and integrations with business tools (Workday, Asana). Engineering and support dominate the active hiring mix, with growing investments in security and product roles. The company maintains a US-based core with expansion hiring across Canada and Ireland.
Greenhouse runs on AWS with Kubernetes orchestration, Terraform infrastructure-as-code, and Argo CD for deployment. The backend uses Ruby, Java, Python, and C#; the frontend is React and TypeScript. ML/AI workloads leverage PyTorch and Hugging Face Transformers.
Active projects center on a transition to AI-first hiring: predictive analytics for candidate evaluation, AI agents to automate hiring workflows, LLM guardrails, and securing AI/ML pipelines. The company is also focusing on platform implementation for mid-market and enterprise customers and AWS cost optimization.
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