Senior Technical Program Manager (Engineering)

Deepgram; United States; On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

Unlimited PTO

401(k) plan with company match

Learning / Education stipend

Annual wellness stipend

Job summary

Deepgram is seeking a Senior Technical Program Manager (Engineering) to manage complex, cross-functional programs that combine software and hardware. The ideal candidate will lead technical initiatives, ensuring seamless collaboration among engineering, research, and product teams.

This role demands a passion for building reliable, scalable AI infrastructure and an ability to navigate ambiguity. We’re looking for someone with over 5 years of experience in program management, comfortable diving into technical topics and optimizing cloud systems.

Qualifications

• 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.

Responsibilities

• Own the end-to-end delivery of technical programs, spanning hardware, software, and research efforts.
• Define workstreams, set milestones, and coordinate execution across multiple teams.
• Proactively identify and resolve bottlenecks and interdependencies.

Skills

Program management experience

Technical acumen

Excellent communication

Stakeholder management

Education

Bachelor's degree or equivalent experience

Tools

Cloud platforms (AWS, GCP, Azure)

Job description

Company Overview

Deepgram is the leading platform underpinning the emerging trillion‑dollar Voice AI economy, providing real‑time APIs for speech‑to‑text (STT), text‑to‑speech (TTS), and building production‑grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice‑native foundation models are accessed through cloud APIs or as self‑hosted and on‑premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.

Company Operating Rhythm

At Deepgram, we expect an AI‑first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.

Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.

Additionally, we move at the pace of AI. Change is rapid, and you can expect your day‑to‑day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9‑to‑5.

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.

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
• 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

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

Benefits & Perks

• 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

For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country‑specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.

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.