Convo supplies senior engineering and data talent to accelerate client software projects, with a stack spanning Databricks, Spark, Kafka, dbt, Neo4j and TigerGraph alongside .NET, Azure and React. Active work on MCP servers, an agentic framework release pipeline and knowledge-graph models points to AI agent and graph-data delivery, while accelerating, senior-only hiring and recurring scope-creep pains reflect project-based client engagements.
Convo is a privately held company headquartered in Los Altos, California, founded in 2013 with 51–200 employees. It offers staff augmentation services that use AI to speed up software development for client organizations. Its engineering work covers data pipelines, graph databases, cloud infrastructure on Azure and Kubernetes, and front-end applications in React and Angular. Current hiring centers on senior engineering and data roles, with a smaller product function.
Convo's stack includes Python, FastAPI, Databricks, Apache Spark, Kafka, dbt, Neo4j, TigerGraph, Kubernetes, Terraform, Azure, .NET, React, Angular and TypeScript, plus Playwright and pytest for testing.
Yes. Hiring is accelerating and focused on senior engineering and data roles, with work on MCP servers, data pipelines, graph persistence and GitOps deployment.
Convo is headquartered in Los Altos, California, United States. The privately held company was founded in 2013 and has 51–200 employees.
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Convo'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.
