A remote Project Management role at Deepgram.
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Voice AI stands at the cusp of a paradigm shift. Current approaches to voice interaction are fundamentally limited by the scarcity and diversity of audio data, combined with the prohibitive computational costs of processing high-dimensional audio at scale. These challenges have created a gap between the promise of universal voice interaction and today’s reality. While our research scientists pioneer new approaches in Latent Space Models (LSMs) to solve these fundamental challenges, we need exceptional technical program leadership to turn these breakthroughs into shipped products. The complexity of our mission (spanning audio compression, generative modeling, and multimodal systems) demands rigorous cross-functional execution, precise dependency management, and relentless focus on delivering the technical systems that turn research breakthroughs into real-world impact. As our research matures and the path from experiment to product grows shorter, we need a Technical Program Manager embedded in the work: someone who drives delivery, owns risk, and makes sure Research, Product, DataOps, and Engineering are always moving together.
You will be embedded in Deepgram’s Research organization, working at the intersection of research output and technical delivery. This is not a role where “done” is always easy to define. You’ll be working with teams where timelines shift as experiments succeed or fail, where a model that looked ready last week needs another iteration this week, and where earning the trust of researchers matters as much as building the right process. Your job is to bring structure and delivery discipline to that environment without making it feel like a software release cycle.
When you arrive, you’ll inherit a portfolio of active cross-functional programs spanning STT and TTS model development, data pipeline work, and evaluation infrastructure. In your first 90 days, success looks like: having a clear map of what’s in flight, who owns what, and where the risks are; having established a working rhythm with Research, Product, DataOps, and Engineering leads; and having driven at least one meaningful delivery milestone across teams. Concretely, over time you will:
If you find yourself thinking about how to untangle a cross-team dependency while still reading through a model evaluation report, if you’re equally comfortable running a launch readiness review and a technical scoping session, you might be the TPM we need. This role demands a rare combination of technical credibility, execution discipline, and emotional intelligence to keep complex programs moving across a fast-paced research organization.
It’s Important to Us That You Have
How We Generated This Job DescriptionThis job description was written as a collaboration between a DG Research staff member and Claude-4.6-Sonnet using our Research Program Manager JD, Engineering TPM JD, and several external Research TPM JDs as context. We think the produced JD maintains strong alignment with our vision for pioneering voice AI while focusing on the crucial program management aspects that will enable our research teams to succeed.
Deepgram
YC W16Project Management
55 open roles on Sydicom
Deepgram is a foundational AI company on a mission to understand human language. We give any developer access to the most advanced speech AI transcription and understanding with just an API call. Our models deliver the fastest, most accurate transcription alongside contextual features like summarization, sentiment analysis, and topic detection. Beyond that, developers can: 🔊 Process live-streaming or pre-recorded audio 🌎 Transcribe in dozens of languages ⚙️ Train custom models for unique use cases 🔑 Access deep NLU with a unified API 💻 Build in any programming language with our SDKs ✅ Deploy on-prem or on DG’s managed cloud 📈 Get scalable GPU infra for training and inference Deepgram is a proud NVIDIA partner and Y Combinator company, and we recently completed a $72M Series B to define the future of AI Speech Understanding, making us the most-funded speech AI company at its stage.
Source: Y Combinator