
Engineering Manager, Developer Relations (DevRel)
Overview
Deepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings.
Job Description
Deepgram is a voice AI platform that provides unmatched accuracy, latency, and pricing for developers building voice products. The company has over 400 enterprise customers and has processed over 50,000 years of audio.
Responsibilities
- - Elevate Deepgram''s technical brand through strategic outreach, thought leadership, and authentic community engagement
- - Serve as Deepgram''s lead developer community spokesperson, participating in conferences, podcasts, webinars, and industry forums
- - Oversee and contribute to technical content including blogs, documentation, SDK guides, code samples, and tutorials
- - Create starter resources and onboarding experiences for Deepgram''s APIs and tools
- - Foster an active open-source community and support high-quality open-source projects
- - Collaborate with the Director of Community Growth to enable developer communities
- - Establish mechanisms to listen and respond to developer feedback
- - Work with Marketing to define and measure key performance indicators
Required Skills
- - 7+ years leading Developer Relations, Developer Advocacy, or Technical Evangelism
- - Strong technical background and credibility
- - Demonstrated ability to grow technical brands through community and thought leadership
- - Excellent public speaking, writing, and technical storytelling skills
- - Deep familiarity with modern development platforms, APIs, and SDKs
- - Proven strategic thinker who translates developer needs into impactful actions
Benefits
- - Offers Equity
- - Offers Bonus
- - 10% Annual Bonus
About the company
Deepgram’s voice AI platform provides APIs for speech-to-text, text-to-speech, and full speech-to-speech voice agents. Over 200,000+ developers use Deepgram to build voice AI products and features. Our suite of voice AI tools is designed to transform how you interact with voice data, offering powerful APIs and models to unlock deeper insights and build seamless voice experiences.
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