Nooks builds sales software where human reps and AI agents share one workflow, with an AI dialer, AI prospecting and an agent studio in active development. Its stack of Twilio, WebRTC, GPT-3, Python and TypeScript on GCP and Kubernetes points to a real-time voice and AI calling product. Hiring leans engineering- and sales-heavy, while recurring job-post themes around customer success, renewals and adoption suggest post-sale retention is the next scaling pressure.
Notable leadership hires: Head of Design, Chief of Staff
Nooks is a privately held San Francisco company with 51–200 employees that sells software to revenue teams. The platform supports pipeline generation, prospect engagement and deal execution, combining human sellers with AI agents that take action rather than only surface recommendations. The company states that more than 1,800 companies use the product. Its engineering runs on React, TypeScript, Node.js and Python with PostgreSQL and Redis on GCP, and hiring is currently focused in the United States.
Nooks uses React, TypeScript, Node.js and Python, with PostgreSQL and Redis on GCP and Kubernetes. It also uses Twilio and WebRTC for calling, GPT-3 for AI features, Datadog for monitoring, and Salesforce and HubSpot.
Job posts point to an agent studio, AI prospecting, an AI dialer, running trials with prospects, and a scaled approach to customer success, retention and implementation.
Yes. Engineering is Nooks' largest hiring area, followed by sales and support. Hiring velocity is steady, skews toward senior roles, and is concentrated in the United States.
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Nooks'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.