Key skills
AIMLAWSAzureGCPPerformance OptimizationStakeholder ManagementCommunication
About this role
Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text and text-to-speech. They are seeking a Senior Technical Program Manager (Engineering) to drive execution across complex, cross-functional programs involving software and hardware, working closely with engineering and research teams to manage large-scale initiatives from inception through delivery.
Responsibilities:
- 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
Requirements:
- 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
- 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)