Speechify Tech Stack

Voice AI platform with text-to-speech, voice typing, and conversational assistant

Software Development Remote 51–200 employees Founded 2017 Privately Held

Speechify operates a consumer voice-AI product stack spanning text-to-speech, dictation, and conversational assistance across web and mobile. The tech footprint—React/Node.js frontend, Python/TensorFlow/PyTorch for ML, Firebase/GCP for data—shows a mobile-first, ML-heavy architecture. Active adoption of Docker/Kubernetes/AWS/Azure signals infrastructure scaling: the pain-point list (data ingestion cost, iOS/Android app scaling, backend performance) and project roadmap (data pipeline, subscription APIs, model datasets) indicate the company is moving from consumer-grade to infrastructure-grade reliability while managing rapid data growth.

Tech Stack 66 technologies

Core StackJavaScript React Redux Firebase TypeScript Python TensorFlow PyTorch Swift SwiftUI Node.js Terraform Docker Linux AWS Kubernetes Stripe Vercel iOS GCP Bash Azure bash Android macOS Chrome Google Docs Apple Google Fastlane+35 more

AdoptingDocker Kubernetes AWS Azure

What Speechify Is Building

◆Challenges

Reducing cost of data ingestion
Scaling data ingestion
Scaling ios app
Optimizing backend performance
Performance and maintainability
Maintaining complex app architecture
Scaling android app
Resilient end-to-end systems
Scalability requirements
Low cost petabyte-scale data ingestion

▲Active Projects

Data ingestion pipeline
B2b solutions integration
Internal apis for payment, subscription, auth and consumption tracking
Payment api
Shipping production code for speechify ios app
New features
Subscription api
Dataset roadmap for next-generation models
Maintain and enhance existing complex app architecture
Refine ux/ui patterns across ios and android apps

Hiring Activity

Minimal1,000 roles · 45 in 30d

Department

Engineering

851

Data

Design

Product

Research

Seniority

Senior

544

Mid

353

Lead

Manager

Notable leadership hires: Tech Lead, Tech Lead Web Core Product Chrome Extension, Android Tech Lead

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About Speechify

Speechify is a consumer voice-AI assistant that reads text aloud in 1000+ voices across 60+ languages, enables voice-based typing, and answers questions within document context. The product reaches 50+ million users and spans desktop (Chrome extension), web (Google Docs/PDFs), and mobile (iOS/Android) platforms. The company is headquartered remotely across 25+ countries and operates a 51–200-person team heavily weighted toward engineering (851 headcount in engineering roles), with smaller data, design, and product functions. Current priorities center on scaling data ingestion pipelines, optimizing mobile app architecture, and building B2B integrations and subscription infrastructure.

HeadquartersRemote

Company Size51–200 employees

Founded2017

Hiring MarketsGermany, United States, United Kingdom, Lithuania, Switzerland, Italy, Estonia, Spain

Frequently Asked Questions

What tech stack does Speechify use?

Frontend: JavaScript, React, Redux, TypeScript. Backend: Python, Node.js. ML: TensorFlow, PyTorch. Infrastructure: Firebase, GCP, AWS, Azure, Kubernetes, Docker. Mobile: Swift/SwiftUI (iOS), Android. Currently adopting containerization and multi-cloud deployment.

Where does Speechify hire engineers?

Speechify hires across 25 countries including US, UK, Germany, Lithuania, Switzerland, Estonia, India, Japan, China, and Southeast Asia. Engineering roles dominate (851 open), with senior-level positions most common (544 total senior headcount across all departments).

What is Speechify working on?

Active projects include data ingestion pipeline optimization, B2B solutions integration, internal payment/subscription/auth APIs, iOS and Android app scaling, and ML datasets for next-generation models. Pain points center on reducing data ingestion cost and maintaining performance across growing mobile user bases.