Zamp builds AI agents designed to own discrete jobs end-to-end—not answer questions or run templated workflows. The tech stack (Go, Kafka, Kubernetes, React, Python, multi-cloud) reflects a platform built for stateful, long-running processes; the hiring mix skews heavily executive and leadership (8 exec roles, 3 leads, 3 managers among 25 openings) while engineering hiring stays modest (5 roles), signaling a company in growth-capital and go-to-market mode rather than heavy product iteration.
Notable leadership hires: Head of Brand
Zamp is an AI-agent platform founded in 2022 that deploys autonomous agents into specific operational roles—accountant, recruiter, support specialist, compliance analyst, financial analyst, developer. The product learns from corrections and adapts without retraining or process rewrites. The company targets large enterprises (banks, biopharma, F50 organizations, tech firms) running critical processes in finance, operations, and customer success. Headquarters in San Francisco; 51–200 employees; hiring across the United States and India.
Go, Python, Kafka, Kubernetes, Redis, React, Angular, and multi-cloud (AWS, GCP, Azure). Orchestration via Helm, Terraform, ArgoCD; observability with Prometheus, Grafana, Elasticsearch; CI/CD through GitLab and Jenkins.
Global expansion, digital employee platform architecture, sales enablement, strategic partnerships, and investor relations. Also addressing pain points in enterprise integration, security compliance, and infrastructure scaling.
Other companies in the same industry, closest in size
Zamp's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.