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Salary: USD 140,000 - 200,000 / annual
Speechify is a text-to-speech platform used by over 50 million people globally to convert PDFs, books, Google Docs, articles, and websites into audio. The company was named Chrome Extension of the Year by Google and received Apple's 2025 Design Award for Inclusivity. With ~200 employees distributed globally and no physical office, Speechify combines accessibility technology with AI to help people read faster, read more, and remember more—particularly benefiting those with learning differences like dyslexia and ADD.
The Platform team is responsible for building and maintaining all backend services including payments, analytics, subscriptions, text-to-speech engines, and external APIs. As a Software Engineer on this team, you'll design, develop, and maintain robust APIs including the public TTS API and internal systems for payments, subscriptions, authentication, and consumption tracking. You'll oversee the full backend API landscape, optimizing for performance and maintainability while collaborating with cross-functional teams to align backend architecture with product strategy and user experience. You'll also work on B2B solutions, focusing on customization and integration for enterprise clients.
The ideal candidate has proven backend development experience with TypeScript/Node.js (required), direct experience with GCP, and knowledge of AWS, Azure, or other cloud providers. Preferred qualifications include Docker and containerized deployments, plus proficiency in deploying high-availability applications on Kubernetes. You should be efficient in ideation and implementation, prioritizing tasks based on urgency and impact.
Speechy operates as a flat organization where anyone can become a leader by demonstrating excellent technical skills and delivering results consistently and fast. The company values work ethic, solid communication, and obsession with winning. You'll have autonomy to foster focus and creativity, work on a product that changes lives, and operate at the intersection of AI and audio in a rapidly evolving domain. The interview process involves several technical rounds completed within one week.
