SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 140,000 - 200,000 / annual
Speechify is a text-to-speech platform used by over 50 million people to convert PDFs, books, Google Docs, news articles, and websites into audio. The company has been recognized by Google as Chrome Extension of the Year and by Apple with a 2025 Design Award for Inclusivity. With nearly 200 employees globally in a fully distributed setting, Speechify brings together talent from major tech companies (Amazon, Microsoft, Google), leading academic institutions (Stanford), and high-growth startups (Stripe, Vercel, Bolt).
The Platform team is responsible for building and maintaining all backend services including payments, analytics, subscriptions, new products, text-to-speech, and external APIs. As a Software Engineer on this team, you will design, develop, and maintain robust APIs including the public TTS API and internal APIs for payment, subscription, authentication, and consumption tracking. You'll oversee the full backend API landscape, optimizing for performance and maintainability while collaborating on B2B solutions focused on customization and integration for enterprise clients.
You will work closely with cross-functional teams to align backend architecture with overall product strategy and user experience. The role is ideal for someone who thinks strategically, thrives in fast-paced environments, is passionate about product decisions, and has experience building great user experiences. Speechify operates as a flat organization where anyone can become a leader by demonstrating excellent technical skills and delivering results consistently and quickly.
Required qualifications include proven backend development experience with TypeScript/Node.js, direct experience with Google Cloud Platform (GCP), and knowledge of AWS, Azure, or other cloud providers. Preferred qualifications include experience with Docker and containerized deployments, as well as proficiency in deploying high-availability applications on Kubernetes. The ideal candidate demonstrates efficiency in ideation and implementation, prioritizing tasks based on urgency and impact.
