AI voice assistant for reading, typing, and answering across documents and web
Speechify operates a consumer-facing voice AI platform (text-to-speech, voice typing, voice assistant) serving 50+ million users across desktop and mobile. Engineering is heavily weighted toward mobile (Swift, Kotlin, iOS/macOS platforms), supported by cloud infrastructure on GCP, AWS, and Azure running Kubernetes. The hiring velocity is accelerating—66 open roles in the last 30 days, 59 engineering-heavy—with active work on B2B/enterprise integrations, payment systems, and a petabyte-scale data ingestion pipeline alongside voice agent functionality, signaling a shift from pure consumer voice features toward enterprise and backend monetization.
Speechify is a voice AI assistant that reads text aloud in 1000+ lifelike voices across 60+ languages, supports voice typing for faster input, and provides context-aware voice chat capabilities. The platform reaches 50+ million users on desktop (Chrome, macOS, Windows) and mobile (iOS, Android). Core features include playback at variable speeds (up to 4.5x), cross-device library sync, screenshot-to-audio, and celebrity-voiced options. The company has evolved from consumer-focused voice tools toward B2B enterprise products, reflected in new infrastructure work around payment APIs, subscription systems, outbound voice agents, and integrations for business customers.
Frontend: Node.js, TypeScript, Swift, SwiftUI, Kotlin, AppKit. Infrastructure: GCP, AWS, Azure, Docker, Kubernetes, Terraform. Tooling: Salesforce, HubSpot, Jira, Linear, Postman. Currently adopting Docker and Kubernetes at scale.
B2B/enterprise integrations, payment and subscription APIs, voice agents for outbound (Simba), petabyte-scale data ingestion, and internal auth/consumption tracking systems. Also managing regression testing and scaling backend services to support growth.
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Speechify'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 →
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