AI meeting assistant for transcription, summaries and workflow automation
Fireflies.ai builds an AI meeting assistant on a Node.js, TypeScript and Go backend with GraphQL, MongoDB and Pub/Sub, running on Kubernetes across both GCP and AWS. The security tooling is dense for its size (CrowdStrike, Falco, Vanta, HackerOne, GitHub Advanced Security), and current security projects point to compliance-driven enterprise selling. Hiring is accelerating across marketing, product and design, with mobile and wearable experiences on the roadmap.
Fireflies.ai is a San Francisco-based, privately held software company founded in 2016 with 51–200 employees. Its product joins video conferencing calls to transcribe conversations in many languages and generate summaries and recaps. Recorded meetings become a searchable knowledge base, and AI apps automate follow-up work such as CRM updates and logging product feedback. The platform connects with CRM, product management and communication tools, and it offers security and compliance options for business and enterprise teams. Current hiring is concentrated in Canada and India.
Fireflies.ai uses Node.js, TypeScript, Go, Express.js and GraphQL with MongoDB and Pub/Sub. It runs on Kubernetes and Docker across GCP and AWS, and its security tooling includes CrowdStrike, Falco and Vanta.
Yes. Hiring is accelerating, mostly at mid-level, across marketing, product, design, engineering and security. Open roles are based in Canada and India.
Current work includes automating security workflows and building security controls. The company is also developing AI-first mobile and wearable experiences, expanding external platform integrations and maintaining its design system.
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Fireflies.ai'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.