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Senior Technical Program Manager (Engineering) (AI)

152 000 - 190 000$
Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Senior Technical Program Manager (Engineering) (AI): Driving execution across complex, cross-functional programs involving software and hardware to build production-grade voice AI infrastructure with an accent on aligning engineering, research, and operations. Focus on optimizing distributed systems, managing GPU infrastructure, and scaling lightweight processes in a high-growth environment.

Location: USA - Remote

Base salary: $152,000–$190,000 for locations elsewhere in the U.S.; $166,000–$208,000 for San Francisco, New York City, and Seattle. Equity, bonus, and a 10% annual bonus may also be offered.

Company

Deepgram provides real-time APIs and self-hosted software for speech-to-text, text-to-speech, and production-grade voice AI agents.

What you will do

  • Own end-to-end delivery of technical programs spanning hardware, software, and research.
  • Define workstreams, milestones, roadmaps, and execution plans across multiple teams.
  • Coordinate engineering, research, product, and operations priorities and timelines.
  • Identify and resolve bottlenecks, trade-offs, risks, and interdependencies.
  • Build lightweight processes and tooling that help programs scale sustainably.

Requirements

  • 5+ years of program management experience leading large, cross-functional initiatives.
  • Strong technical acumen, with experience working with engineering or applied machine learning teams.
  • Experience coordinating programs involving both hardware and software.
  • Experience with AI-forward program management practices and processes.
  • Excellent communication and stakeholder management skills, with the ability to navigate ambiguity.

Nice to have

  • Familiarity with AI/ML workloads and infrastructure requirements.
  • Knowledge of cloud and on-premises infrastructure cost optimization.
  • Experience with multi-region, multi-cloud deployments and distributed-systems performance optimization.
  • Experience with software-defined infrastructure and networking.
  • Cloud platform certification or hands-on experience with AWS, GCP, or Azure.

Culture & Benefits

  • AI-first working practices with active use and experimentation with advanced AI tools.
  • Work on voice AI infrastructure, frontier machine learning architecture, and large-scale distributed systems.
  • Equity and bonus opportunities, including a 10% annual bonus.
  • Remote work arrangement for U.S.-based employees.

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