# Director, Text-to-Speech Synthesis Research at Deepgram

- Company: Deepgram
- What the company does: Power enterprise voice solutions with Deepgram’s Speech-to-Text, Text-to-Speech, and Voice Agent APIs. Real-time, accurate, and built for scale. Backed by Y Combinator and Madrona.
- Company website: https://www.deepgram.com
- Type: Startups (AI role)
- Level: Principal and up
- Location: USA | Remote
- Work setup: Remote
- Pay: $213K to $328K base salary per year (USD)
- Posted: 2026-09-17
- Apply by: 2026-11-01
- Apply: https://jobs.ashbyhq.com/deepgram/a0678103-1b9c-44a4-92c0-f705850a8fa1
- Page: https://www.1752.vc/careers/jobs/deepgram-director-text-to-speech-synthesis-research/

## About the role

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.

## What they're looking for

- Deep expertise in modern TTS, speech generation, or audio generative modeling, with a track record of personally training and improving large-scale neural models
- Command of the modern speech-generation stack and the open problems behind naturalness, expressiveness, controllability, robustness, voice consistency, and inference cost
- A history of setting research direction under genuine uncertainty: prioritizing experiments, allocating compute and researcher time, and killing approaches that aren't working
- Experience leading researchers and research engineers through other technical leaders — developing tech lead managers or equivalent, setting direction across sub-teams — while staying technically influential yourself
- AI as your default mode of work, not an occasional tool. You've rebuilt how you and your team operate around it, and you have a specific, earned view of what it still can't do in speech research
- The ability to make complex technical tradeoffs legible to product, engineering, and executive audiences

Tags: Research