Назад
24 часа назад

Senior Technical Program Manager (Engineering) (AI)

152 000 - 190 000$
Формат работы
remote (только USA)
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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Описание вакансии

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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: Remote (USA or Global via Employer of Record)

Salary: $152,000 – $190,000 (Base) + Equity + Bonus

Company

Deepgram is a leading Voice AI platform providing real-time speech-to-text (STT), text-to-speech (TTS), and production-grade voice agent APIs.

What you will do

  • Own end-to-end delivery of technical programs spanning hardware, software, and research efforts.
  • Define workstreams, set milestones, and coordinate execution across multiple cross-functional teams.
  • Serve as the connective tissue between engineering, research, product, and operations.
  • Proactively identify and resolve bottlenecks, trade-offs, and interdependencies.
  • Perform deep dives into technical topics to ensure risks are addressed early.
  • Build lightweight processes and tooling to help engineering teams scale sustainably.

Requirements

  • 5+ years of program management experience leading large, cross-functional initiatives.
  • Strong technical acumen, preferably with experience working closely with applied-ML teams.
  • Experience coordinating programs that touch both hardware and software domains.
  • Proven ability to thrive in high-growth or startup environments.
  • Excellent communication and stakeholder management skills.
  • Must possess an AI-first mindset and be comfortable integrating advanced AI tools into daily workflows.

Nice to have

  • Familiarity with AI/ML workloads and their infrastructure requirements.
  • Knowledge of cost optimization for cloud and on-premise infrastructure.
  • Experience with multi-region, multi-cloud infrastructure deployment.
  • Background in performance optimization for distributed systems.
  • Certification or hands-on experience with AWS, GCP, or Azure.

Culture & Benefits

  • Comprehensive medical, dental, and vision benefits with an annual wellness stipend.
  • Unlimited PTO and flexible schedules.
  • 401(k) plan with company match and tax savings programs.
  • Learning and education stipends, including AI enablement workshops and conference participation.
  • One-time stipend for home office upgrades and quarterly personal productivity stipends.

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