Deepgram
Senior Technical Program Manager (Engineering)
Vaga remota de Engineering com fit claro de localização do candidato.
Publicada30 de jun. 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)
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
Company Operating Rhythm
- Own the end-to-end delivery of technical programs, many of which span hardware, software, and research efforts
- Define workstreams, set milestones, and coordinate execution across multiple teams and functions
- Serve as the connective tissue between engineering, research, product, and operations to ensure aligned priorities and timelines
- Proactively identify and resolve bottlenecks, trade-offs, and interdependencies
- Dive deep into technical topics to ensure risks are understood and addressed early
- Build lightweight processes and tooling to help teams scale sustainably
Company Operating Rhythm
- Are passionate about building reliable, scalable, cutting-edge AI infrastructure
- Enjoy optimizing complex distributed systems for performance and cost
- Love solving challenging problems in compute, networking and storage at global scale
- Are excited about working with cutting-edge GPU infrastructure, and frontier research in ML architecture
- Want to work at the intersection of humans and AI/ML systems
Company Operating Rhythm
- 5+ years of program management experience leading large, cross-functional initiatives
- Strong technical acumen—bonus if you’ve been an engineer or worked closely with applied-ML teams
- Experience coordinating programs that touch both hardware and software domains
- AI forward program management practices and processes
- Proven ability to thrive in high-growth or startup environments
- Comfortable navigating ambiguity and helping others do the same
- Excellent communication and stakeholder management skills
Company Operating Rhythm
- 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
- Experience with software-defined infrastructure and networking
- Certification and/or hands on experience with relevant cloud platforms (AWS, GCP, Azure)
- Experience with software-defined infrastructure and networking
Holistic health
- Medical, dental, vision benefits
- Annual wellness stipend
- Mental health support
- Life, STD, LTD Income Insurance Plans
Work/life blend
- Unlimited PTO
- Parental leave
- Flexible schedule
- 12 Paid US company holidays
- Quarterly personal productivity stipend
- One-time stipend for home office upgrades
- 401(k) plan with company match
- Tax Savings Programs
Continuous learning
- Learning / Education stipend
- Participation in talks and conferences
- Employee Resource Groups
- AI enablement workshops / sessions
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