Technical Program Manager (Engineering)
We’re a foundational AI company whose mission is to make every voice heard and understood. Our end-to-end deep neural network is redefining what companies can do with voice by offering a platform with AI architectural advantage, not legacy tech retrofitted with AI. We believe corporations who harness the power of their audio data will improve the way we all live and work. Together, we’ll unlock unique languages, accents, and dialects all over the world for better communication and better experiences.
Job Description
Company Overview
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Deepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs or as self-managed software – due to our unmatched accuracy, latency and pricing. Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than Deepgram
Deepgram is seeking a 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.
What You’ll Do
- 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
You’ll Love This Role If You
- 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
It’s Important To Us That You Have
- 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
It Would Be Great if You Had
- 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
Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!
Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.
We are happy to provide accommodations for applicants who need them.
Company Overview
Deepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs or as self-managed software – due to our unmatched accuracy, latency and pricing. Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than Deepgram
Deepgram is seeking a 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.
What You’ll Do
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
You’ll Love This Role If You
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
It’s Important To Us That You Have
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
It Would Be Great if You Had
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
Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $85 million in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you!
Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.
We are happy to provide accommodations for applicants who need them.
