Senior Technical Program Manager (Engineering)

Deepgram is seeking a Senior Technical Program Manager (Engineering) to drive execution across complex, cross-functional programs involving both software and hardware. In this role, you’ll work closely with our engineering and research teams to manage large-scale, technically demanding initiatives—from inception through delivery.

You’ll thrive here if you enjoy creating clarity out of complexity, organizing ambiguous requirements into coherent roadmaps, and getting into the technical weeds to keep programs moving forward. We’re looking for someone who has led large, multi-disciplinary initiatives and can partner with researchers, engineers, and business stakeholders to align teams and outcomes.

- 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

- 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

- 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

- 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