AI search visibility and competitive analytics for enterprise marketing teams
Profound tracks how enterprise brands appear inside AI answer engines like ChatGPT and Perplexity. Hiring is heavily sales-led, with GTM and SDR team scaling flagged as top pressures and agency partnerships a key project, pointing to a channel-plus-direct push across the US, UK, Singapore and Brazil. The stack pairs Python and Rust with Kafka, NATS and Kubernetes across AWS, GCP and Azure, built for high-volume AI response ingestion.
Notable leadership hires: Tech Lead Manager, Head of Talent, Head of Security
Profound is a privately held company headquartered in New York, NY, with 201–500 employees. It offers a marketing intelligence platform that measures and improves how enterprise brands surface across generative AI platforms, including visibility analytics and competitive insights. Its customers are enterprise marketing teams and the agencies that serve them. The company hires in the United States, United Kingdom, Singapore and Brazil, and runs its product on a TypeScript, Next.js and React front end with Python, Rust and PostgreSQL behind it.
Profound uses Python, Rust, TypeScript, Next.js and React, with PostgreSQL, Redis, Kafka and NATS, deployed via Docker, Kubernetes and Terraform on AWS, GCP and Azure. Go-to-market runs on Salesforce and Gong.
Yes. Sales is Profound's largest hiring area by a wide margin, and job posts cite scaling GTM hiring and the SDR team as key pressures, with roles open in the US, UK, Singapore and Brazil.
Profound is building out its AI search program, expanding agency partnerships, developing its core product UI, and delivering custom enterprise integrations and data pipelines for client BI.
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Profound'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.