обновлено 5 дней назад
Senior Technical Program Manager (Engineering) (AI)
152 000 - 190 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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