Company Overview

Deepgram is bringing the world’s most natural interface, voice, to the technology we use every day. Our speech models and real-time infrastructure power AI systems that keep up with the way people actually speak. More than 5,000 organizations run conversational voice AI on Deepgram in production, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Cresta, Granola, and Jack in the Box.

The Deepgram Voice Agent Platform brings together speech-to-text, text-to-speech and speech-to-speech, with voice-native foundation models available through cloud APIs or self-hosted and on-premises deployments. Built for accuracy, low latency and cost efficiency, Deepgram makes high-quality voice experiences practical to build and run at scale. More than 650,000 developers have used Deepgram to process more than 200,000 years of audio. Every day, more of the world’s conversations with AI run on our models.

Operating Principles

Deepgram is a research company that productizes as fast as possible. Four Operating Principles shape how we think, decide, and work together:

Compress before you communicate. You think it through first, then lead with the bottom line.

Resist entropy. You question what already exists before adding more process or tools.

Solve the category. You fix recurring problems at the source, not one case at a time.

Work at the frontier. You go after problems no one has solved yet.

We look for people who already work this way, and these principles shape how we grow and evaluate our team.

AI-First by Default

We build AI that millions of people talk to, and we run the company the same way. AI is how we centralize work here, and is core to how we operate.

That means more than using the tools. We expect you to:

Build, not just use. Design your own workflows and agents, and use AI to remove whole categories of work instead of doing the same work faster.

Own the output. AI can speed up the work. It doesn’t make anyone less accountable for it. You understand, verify, and stand behind everything you share, including what an agent produces for you.

Spend the time you get back at the frontier. The capacity AI creates goes toward problems no one has solved yet.

Keep pace. Models and tools change every month, and so will your work. You adopt what’s new quickly and drop what no longer earns its place.

We judge AI by what it helps you deliver and whether you stand behind the result, not by how often you use it. In interviews, expect to walk us through a workflow you built and where you drew the line between AI and your own judgment.

The Opportunity

Deepgram is looking for a Staff Software Engineer to be the technical lead of the Console team.

Deepgram is the leader in developer-friendly building blocks for language AI: real-time transcription, voice agents, and audio intelligence at scale. The Console team owns the product surfaces that help developers discover, test, and adopt Deepgram. That includes customer-facing experiences like Console and Playground, account management (authorization, billing, analytics), agentic tooling integrations like MCP servers and SDK experiences, and internal tools that support teams across the company. These surfaces shape a customer's first impression of Deepgram and directly influence buying decisions.

In the current wave of AI-native development, developer experience is the product. The best infrastructure wins by being the easiest to trust.

As a Staff engineer, you'll set the technical direction for our self-serve platform and lead large, high-priority, cross-functional projects that shape the company's product-led growth. You'll partner with senior leaders in Engineering, Product, Design, Sales, and Marketing, help set priorities, and anticipate the problems we'll face before they arrive. You'll still write a lot of code. We're looking for a strong full-stack generalist with broad product instincts.

What You'll Do

Set the technical strategy and architecture for Console, Playground, account management services, and agentic developer tooling. Make sure today's decisions scale with our product-led growth plans.