AI agents and conversation intelligence for voice and SMS revenue teams
Invoca sells AI-driven call tracking and conversation intelligence to marketing, commerce and contact center teams. Its stack pairs a Ruby on Rails and Node.js core with LangChain, LlamaIndex, RAG, PyTorch and Hugging Face, and its job posts center on agent evals, pre-production simulation and MCP tool integrations, which points to a serious push into agentic AI. Hiring is accelerating and sales-led, with a senior-heavy engineering and product bench behind it.
Invoca, founded in 2008 and headquartered in West Hollywood, California, builds software that turns phone and SMS conversations into measurable revenue. Its AI agents engage, qualify and convert buyers, and its call tracking and analytics tie those conversations back to marketing campaigns. Customers are marketing, commerce and contact center teams. The privately held company employs 201–500 people and currently hires in the United States.
Invoca runs Ruby on Rails, Node.js and Python on Kubernetes, Docker, ArgoCD and Buildkite. Its AI work uses LangChain, LlamaIndex, PyTorch and Hugging Face Transformers, and it relies on Databricks and Tableau for data.
Yes. Hiring is accelerating, and sales accounts for the largest share of open roles, followed by engineering and product. Most openings are senior, staff or director level, and all are in the United States.
Invoca's job posts point to agentic MCP tool integrations, an agentic development environment, agent evals and simulation before production, plus full-stack prototyping for AI demos.
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Invoca'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.