Inferred from the employer’s wording in this job description. These role-level signals are separate from the company-wide employee-review scores below.
Voice AI Platform · San Francisco
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.
At 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.
Deepgram is looking for a Senior Frontend Engineer to join the Console team.
This team owns the front-end experiences that help developers discover, test, and adopt Deepgram — including customer-facing surfaces like Console and Playground, as well as internal tools that support teams across the company.
In this role, you’ll build polished, high-quality interfaces for both external and internal users. You’ll work on product experiences that help developers get started quickly, understand Deepgram’s capabilities, manage their projects and billing, and explore APIs hands-on. You’ll also help build internal tools that make Deepgram teams faster and more effective.
We’re looking for a strong front-end engineer with excellent product taste, strong technical judgment, and the ability to turn ambiguous problems into clear, well-crafted user experiences. This role is aimed at generalist senior engineers rather than requiring niche framework expertise; familiarity with Elm is a plus, not a requirement.
Build and ship front-end features across Deepgram’s customer-facing Console and Playground experiences.
Build internal-facing tools that improve workflows and productivity across Deepgram.
Partner with product, design, and engineering to create accessible, performant, and responsive interfaces.
Translate product ideas and design concepts into well-scoped, incrementally releasable work.
Balance rapid iteration with long-term maintainability, quality, and performance.
Help raise the bar through code reviews, technical design discussions, and strong front-end engineering practices.
5+ years of professional software engineering experience with a strong front-end focus.
Deep experience with modern front-end technologies and frameworks.
Strong command of web fundamentals, including HTML, CSS, responsive design, and accessibility.
A track record of building high-quality user-facing web applications.
Strong communication skills and the ability to collaborate closely with design, product, and engineering partners.
Strong product and UX judgment.
Experience with Elm, or interest in learning it.
Experience building developer-facing products, internal tools, or API-centric interfaces.
Familiarity with backend integrations and APIs.
Experience with voice, audio, real-time systems, or AI products.