AI-powered customer communication platform for cross-channel marketing at scale
Iterable operates a multi-tenant data platform (Kafka, Elasticsearch, Snowflake, PostgreSQL, CockroachDB) powering individualized customer messaging across email, SMS, push, and emerging channels like WhatsApp and Roku. The company is actively operationalizing RAG and building LLM evaluation frameworks, signaling a shift toward AI-native feature delivery—yet internal pain points cite slow AI feature velocity and scaling challenges, suggesting the infrastructure investment is ahead of realized product impact. Hiring velocity is accelerating with a heavy engineering skew (53 roles), concentrated in senior and manager-level positions, indicating a push to unblock architectural bottlenecks.
Notable leadership hires: Demand Generation Director, Engineering Director, Director of Engineering
Iterable is a SaaS customer communication platform that helps brands design and deliver personalized, cross-channel campaigns at scale. Founded in 2013 and headquartered in San Francisco, the company operates a multi-tenant infrastructure supporting mid-market and enterprise customers. The platform is built on Kubernetes, AWS, and a polyglot stack (Go, Python, Scala, Java) with a modern data layer (Snowflake, dbt, Databricks). Beyond core marketing automation, Iterable is expanding into AI-driven customer lifecycle visibility and partner-channel revenue, with active work on ROI measurement tools and agentic experiences.
Iterable uses Kubernetes, AWS, Kafka, Elasticsearch, PostgreSQL, CockroachDB, Snowflake, dbt, Go, Python, Scala, and Java. The company is actively adopting Datadog, Grafana, Prometheus, OpenTelemetry, and RAG frameworks.
Current projects include RAG operationalization, LLM evaluation frameworks, an Elasticsearch strategy, scalable ML infrastructure, enterprise platform implementation, and a scalable partner revenue engine. The company is also building visibility layers for customer lifecycle and agentic experiences.
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