Technical Program Manager

Summary

Join Deepgram, a leading voice AI platform, as a Technical Program Manager (Engineering) to drive execution across complex, cross-functional programs involving software and hardware. You will collaborate with engineering and research teams to manage large-scale initiatives from inception to delivery. This role requires creating clarity from complexity, organizing ambiguous requirements, and diving into technical details to maintain program momentum. Success in this position involves leading multi-disciplinary initiatives and partnering with researchers, engineers, and business stakeholders to align teams and outcomes. Deepgram offers a dynamic environment for individuals passionate about building cutting-edge AI infrastructure and optimizing complex systems. The company is backed by prominent investors and has achieved significant growth.

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
• 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

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

Preferred Qualifications

• 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