Gamma builds an AI design tool for decks, sites, and social posts on a TypeScript, React, Node.js, and Go stack, with WebSockets and CRDTs pointing to a real-time collaborative editor at the core. Job posts show a pivot from product-led growth toward an enterprise B2B sales motion: repeatable playbooks, technical POCs, and shorter close cycles. Engineering hiring still dominates and stresses scaling backend systems to millions of users.
Gamma is a privately held San Francisco company, founded in 2020, that makes an AI design partner for creating presentations, websites, and social media content. The product combines real-time collaborative editing with AI content generation. It runs on AWS with Kubernetes, Terraform, PostgreSQL, Redis, and Kafka, and uses Snowflake, dbt, and Metabase for analytics. Gamma has 51–200 employees and hires in the United States across engineering, sales, marketing, support, finance, product, data, and security.
Gamma uses TypeScript, React, Node.js, Go, and Python on AWS with Kubernetes, Docker, and Terraform. Its data layer includes PostgreSQL, Redis, Kafka, Snowflake, and dbt, and WebSockets and CRDTs support real-time collaboration.
Yes. Alongside an engineering-led hiring mix, Gamma is building a B2B sales engine with repeatable sales processes, sales playbooks, and enterprise AE recruiting. Hiring is in the United States, and overall velocity is slowing.
Gamma is headquartered in San Francisco, United States. It was founded in 2020 and has 51–200 employees.
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Gamma'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.
