Data-driven messaging automation across email, SMS, push and in-app
Customer.io runs a multichannel customer messaging platform on Go, TypeScript and React, with data spread across MySQL, PostgreSQL, DynamoDB and Bigtable on both AWS and GCP, a footprint built for high-volume event processing. Projects on AI agent infrastructure, evals and RAG/MCP tooling show AI moving into core engineering workflows, while a senior-weighted, engineering-and-sales-led hiring mix points to a push upmarket into mid-market and enterprise accounts.
Customer.io is a privately held software company headquartered in Portland, Oregon, founded in 2012, with 201–500 employees. It provides a customer engagement platform that lets businesses automate personalized messages across email, SMS, push notifications, in-app messages and webhooks, triggered by real-time customer data. The product serves marketing and lifecycle teams focused on retention and engagement across web and mobile. Its native mobile stack includes Swift and Kotlin, and hiring is concentrated in the United States.
Customer.io builds with Go, TypeScript, React, Ember.js, Python and Node.js, runs on AWS, GCP and Kubernetes, and stores data in MySQL, PostgreSQL, DynamoDB and Bigtable. Business tools include Salesforce, Stripe and Linear.
Yes. Engineering is its largest hiring area, with demand skewed toward senior talent, followed by sales, finance, HR and operations. Hiring is steady and focused in the United States.
Current work includes distributed systems for messaging at scale, AI agents for multi-file code changes with agent infrastructure and evals, GTM integrations, and a commercial strategy for mid-market and enterprise accounts.
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Customer.io'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.