Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
Company Operating RhythmAt Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Saga is Deepgram’s consumer facing application - this application lets people control their tools, workflows, and environments using natural speech. Deepgram Saga is an innovative voice OS designed for professionals, enabling hands-free control of their workflow through natural language. It integrates seamlessly with existing tools like Slack, Linear, and Notion, allowing them to execute tasks via voice commands, thereby reducing context-switching and enhancing productivity.
We're a full-stack team that values high-quality, iterative delivery and thoughtful code design. We function like a startup within a startup, characterized by our scrappiness and adaptability. Our backend services are built with Node.js and Socket.io, chosen for its performance, developer velocity, and strong ecosystem. We use TypeScript to add type safety and improve maintainability across our codebase. On the frontend, we use React and Next.js to deliver fast, resilient user experiences with server-side rendering, dynamic routing, and seamless integration with our voice-native workflows. Across the stack, we care deeply about schema clarity, performance, and long-term maintainability.
Build, ship, and maintain backend services using Node.js, Socket.IO, AWS Amplify, and DynamoDB
Work across the frontend with TypeScript, React, Next.js
Design and integrate APIs using both REST and GraphQL, supporting flexible, scalable data access across services
Develop deep expertise in a few areas while remaining comfortable diving into new parts of the codebase
Participate in code reviews and architecture discussions, fostering a culture of clarity, curiosity, and shared ownership
Translate high-level product requirements into parallelizable, incrementally releasable tasks
Balance short-term deliverables with long-term investments in efficiency, scalability, and performance
3+ years of experience on a full-stack engineering team, building and maintaining production-grade services
Professional experience with TypeScript, including API development, backend service design, and system integration
Experience building user interfaces through reusable, composable components—favoring clarity, encapsulation, and predictable state management.
Proven ability to optimize database performance through thoughtful schema design, query tuning, and indexing strategies
Strong communication skills and the ability to navigate technical tradeoffs in a collaborative, cross-functional environment
Experience with AWS Amplify
Familiarity with Electron and building cross-platform desktop (or mobile) applications
Experience integrating with LangChain, or other LLM orchestration frameworks
Comfort working in startup environments, where ambiguity, speed, and scrappy problem-solving are the norm
A self-starting mindset with the ability to scope, prioritize, and execute independently
Strong product intuition and curiosity about how users interact with emerging interfaces
Prior experience with voice technology and AI-driven applications
