AI-powered customer communication platform for messaging and conversational engagement
Zenvia operates a cloud communication platform built on AWS, Azure, and GCP infrastructure with PostgreSQL, MongoDB, and message-queue systems (Kafka, RabbitMQ) as core data layers. Current hiring is sales-heavy (4 of 8 roles) with secondary engineering focus, while pain points cluster around franchise profitability, database availability, and billing process delays—suggesting the company is scaling a partner-led model while addressing operational friction in backend systems and financial workflows.
Zenvia is a Brazil-based customer communication platform that combines conversational AI with multi-channel messaging to help businesses engage customers across WhatsApp, mobile, and web channels. The product integrates with Salesforce and operational tools to unify customer interactions at scale. The company operates a 501–1,000 person workforce split between product development and franchise partner support, with active expansion into Mexico and Brazil. Current focus areas include franchise profitability, sales expansion to new accounts, and automation testing infrastructure.
Zenvia deploys across AWS, Azure, and GCP with PostgreSQL and MongoDB as primary databases, supported by Kafka and RabbitMQ for messaging. Infrastructure monitoring runs through Prometheus, Grafana, and CloudWatch.
Primary pain points include database availability and security, franchise profitability and retention, billing process delays, and identifying revenue bottlenecks. Sales expansion into new accounts and market trend monitoring are concurrent priorities.
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