Make operates a visual-first automation platform where non-technical teams build and manage workflows without code. The tech stack—TypeScript, React, Node.js, PostgreSQL, Kubernetes on AWS—supports a distributed, scalable backend, while active adoption of Gemini and GitHub Copilot signals a shift toward AI-assisted workflow generation. Current projects span AI automation for GTM systems, LLM-based product features, and bottleneck detection, indicating the company is layering generative AI into the platform's core automation engine rather than treating it as an add-on.
Notable leadership hires: Tech Lead
Make is a no-code automation platform based in Prague that lets organizations build and orchestrate workflows visually, including AI-powered automation agents. The product serves over 350,000 organizations across integration, workflow automation, and business process optimization use cases. The 201–500 person team is engineering-heavy with active sales and marketing hiring, and the company maintains a distributed hiring footprint across Czechia, Spain, the United States, and Germany. The platform runs on a modern cloud-native stack (Kubernetes, AWS, PostgreSQL, RabbitMQ, Redis, Elasticsearch) designed to handle complex, multi-step automation at scale.
Make's backend runs on TypeScript, Node.js, PostgreSQL, RabbitMQ, and Redis, with Kubernetes and AWS EKS for orchestration. The frontend uses React, Angular, and Web Components. Infrastructure is Terraform-managed on AWS with monitoring via Datadog.
Make is actively adopting Gemini and GitHub Copilot, and developing LLM-based product features and AI/ML-driven bottleneck detection—indicating a strategic push to embed generative AI into core platform capabilities.
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