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Job description
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TL;DR
Senior Technical Program Manager (AI): Driving the execution of large-scale ML infrastructure and AI tooling initiatives with an accent on model serving, ML pipelines, and real-time inference systems. Focus on bridging the gap between research and production, optimizing system performance, and building internal tools to accelerate model development cycles.
Location: Must be based in the USA
Salary: $152,000 – $190,000 (Base salary only, plus equity and bonus)
Company
Deepgram is a leading Voice AI platform providing real-time APIs for speech-to-text and text-to-speech, powering voice agents for over 1,300 organizations.
What you will do
- Own end-to-end delivery of AI infrastructure programs including training pipelines, experiment tracking, and inference serving.
- Define technical architecture and rollout strategies for new ML systems such as vector databases and model servers.
- Act as the connective tissue between ML research, engineering, product, and data teams to align on roadmaps.
- Drive cost and latency optimization for real-time inference workloads at scale.
- Build lightweight internal tools to accelerate ML iteration cycles and model versioning.
- Identify and resolve technical bottlenecks in training and evaluation workflows.
Requirements
- 5+ years of program management or technical leadership in ML infrastructure or AI tooling.
- Strong technical acumen in ML systems with hands-on experience as an ML or systems engineer.
- Proven ability to translate research requirements into scalable infrastructure.
- Experience coordinating cross-functional ML programs across the full model lifecycle.
- Comfortable navigating complex technical tradeoffs like accuracy versus latency versus cost.
- Familiarity with high-growth or startup environments.
Nice to have
- Hands-on experience with model serving frameworks like vLLM, TensorRT, or TorchServe.
- Experience optimizing LLM or audio model inference (quantization, distillation, batching).
- Knowledge of cost optimization for GPU workloads on cloud or on-premise infrastructure.
- Familiarity with ML experiment tracking tools like MLflow or Weights & Biases.
Culture & Benefits
- AI-first culture where active use of advanced AI tools is expected and measured.
- Fast-paced environment focused on rapid experimentation and adaptation.
- Competitive compensation package including base salary, equity, and 10% annual bonus.
- Opportunity to work on frontier AI technologies at a high-growth company.
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