Engineering Manager, Console Team (Product-Led Growth Strategy)
Deepgram · Engineering
- Location
- Remote, California, United States
- Workplace
- Remote
- Level
- Senior
- Type
- Full-time
- Pay
- $185K–$260K/yr (published by employer)
- Posted
- 3 months ago
- Source
- Ashby
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What the posting covers
Company Overview
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+…
Company Operating Rhythm
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…
Opportunity
Deepgram is looking for an Engineering Manager to help drive our product-led growth strategy. Deepgram is the leader in developer-friendly building blocks for language AI—real-time transcription, voice agents, and audio intelligence at scale. As such, this…
What You'll Do
Lead a team of multi-disciplined software engineers to build our web applications, agentic tooling integrations (MCP servers, SDK experiences), and account management (authorization, billing, analytics) services Work closely with the rest of the leadership…
You'll Love This Role If You
Have experience working in early stage startups—from building and scaling to going through fundraising Have great communication and leadership skills and the ability to work in a fast-paced environment Have strong practical experience with software…
It's Important To Us That You Have
A strong technical background building world class user-facing applications Proven management and leadership experience The ability to drive technical decisions in a scalable and thoughtful manner Passion about good engineering practices, emerging…
It Would Be Great if You Had
Experience building AI-powered developer tooling—playgrounds, SDK experiences, interactive docs, or evaluation UIs for ML models Experience shipping agentic or voice AI integrations—MCP servers, function-calling pipelines, voice assistant SDKs Experience…
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