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2 months ago

Senior Technical Program Manager (AI)

152 000 - 190 000$
Work format
remote (only USA)
Work type
fulltime
Grade
senior
English
b2
Country
US
This vacancy is from Hirify.Global listVacancy from Hirify Global, list of international tech companies
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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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