Deepgram
Senior Technical Program Manager (Engineering)- AI Tooling & Systems
Vaga remota de Engineering com fit claro de localização do candidato.
Publicada9 de jul. de 2026
Países elegíveis1 país aceito
Sinal de senioridadeLead
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Estados Unidos
Resumo da vaga
Senior Technical Program Manager (Engineering)- AI Tooling & Systems
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
What You'll Do
- Own end-to-end delivery of AI infrastructure programs—from model training pipelines and experiment tracking to inference serving and production monitoring
- Define technical architecture, integration patterns, and rollout strategies for new ML systems and tooling (e.g., vector databases, model servers, evaluation frameworks, prompt engineering platforms)
- Serve as connective tissue between ML research, ML engineering, product, and data teams to align on ML system requirements, capability roadmaps, and deployment timelines
- Drive cost and latency optimization for real-time inference workloads at scale
- Build lightweight internal tools and processes to accelerate ML iteration cycles (experiment tracking, model versioning, A/B testing infrastructure)
- Identify and resolve technical bottlenecks in training pipelines, serving infrastructure, and model evaluation workflows
- Work closely with ML practitioners to translate research breakthroughs into scalable, observable systems
You'll Love This Role If You
- Are passionate about building ML systems and infrastructure that powers frontier AI applications
- Enjoy optimizing inference cost, latency, and throughput for LLM and multimodal workloads at scale
- Love solving hard problems at the intersection of ML research and production systems (e.g., distillation, quantization, batching strategies)
- Are excited about frontier model serving technologies, vector search, and real-time ML inference
- Want to directly enable ML researchers and engineers to iterate faster and ship better models
It's Important That You Have
- 5+ years of program management or technical leadership in ML infrastructure, ML platforms, or AI tooling (or equivalent)
- Strong technical acumen in ML systems—ideally hands-on experience as an ML engineer, systems engineer, or ML infrastructure engineer
- Experience coordinating cross-functional ML programs (e.g., model training → evaluation → serving → monitoring)
- Proven ability to translate ML/research requirements into robust, scalable infrastructure
- Comfortable working in ambiguity and helping teams navigate complex technical tradeoffs (e.g., accuracy vs. latency vs. cost)
- Excellent communication with both technical and non-technical stakeholders
- Familiarity with high-growth or startup environments
It Would Be Great If You Had
- Hands-on experience with model serving frameworks (vLLM, TensorRT, TorchServe, or similar)
- Experience optimizing LLM or speech/audio model inference (quantization, distillation, KV-cache optimization, batching strategies)
- Familiarity with ML experiment tracking and versioning tools (MLflow, Weights & Biases, DVC, or similar)
- Background in feature stores, vector databases, or real-time ML systems
- Knowledge of cost optimization for GPU/ML workloads on cloud and on-premise infrastructure
- Experience with multi-region model serving or edge deployment
- Hands-on with relevant frameworks (PyTorch, CUDA, Hugging Face, etc.) or cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML)
Vagas similares
Mantenha uma lista reserva.
Stack
Use estas tags para comparar vagas remotas similares.
Elegibilidade de localização
Candidatos devem aplicar apenas quando o país do perfil estiver listado aqui.
Seu perfilPaís não definidoEntre para comparar seu país com esta vaga.
Fluxo de contratação
O WithMira mostra a vaga e depois envia candidatos para a aplicação da empresa.
1Confira fit da vaga, stack e elegibilidade de localização no WithMira.
2Abra a página de aplicação da empresa pelo link rastreado.
3Salve a vaga ou assine oportunidades similares antes de sair.