
Job Overview
Location
USA | Remote
Job Type
Full-time
Category
Software Engineering
Date Posted
July 2, 2026
Full Job Description
📋 Description
- • Own the end-to-end delivery of complex technical programs spanning software, hardware, and research initiatives from inception through delivery
- • Define workstreams, set milestones, and coordinate execution across engineering, research, product, and operations teams to ensure aligned priorities and timelines
- • Serve as the connective tissue between cross-functional teams to resolve interdependencies, bottlenecks, and trade-offs in high-velocity AI-driven environments
- • Dive deep into technical topics including GPU infrastructure, distributed systems, and ML architecture to identify and mitigate risks early in program lifecycles
- • Build lightweight processes and tooling to enable scalable, sustainable execution across rapidly evolving AI infrastructure projects
- • Proactively manage ambiguity by translating unclear requirements into coherent roadmaps and actionable plans for technical teams
- • Drive AI-forward program management practices by actively integrating advanced AI tools into workflows and measuring impact through AI-enabled outcomes
- • Partner with researchers and engineers to align technical goals with business outcomes in a fast-paced, AI-first culture where change is constant
- • Optimize complex distributed systems for performance, cost efficiency, and scalability across global, multi-region, and multi-cloud environments
- • Collaborate with stakeholders to ensure software-defined infrastructure, networking, and storage systems meet the demands of frontier AI workloads
- • Maintain visibility into compute, networking, and storage challenges at scale while supporting the deployment of self-hosted and on-premises voice AI solutions
- • Foster a culture of continuous learning by participating in AI enablement workshops, conferences, and internal knowledge-sharing sessions
- • Adapt quickly to evolving AI technologies and model advancements, ensuring program delivery keeps pace with the rapid innovation cycle of voice AI
- • Support the scaling of Deepgram’s voice-native foundation models, which have processed over 50,000 years of audio and transcribed more than 1 trillion words
- • Ensure technical programs align with Deepgram’s mission to power production-grade voice agents for over 1,300+ organizations including Twilio, Cloudflare, and Jack in the Box
🎯 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
🏖️ Benefits
- • Medical, dental, vision benefits
- • Unlimited PTO
- • Annual wellness stipend
- • Mental health support
- • Life, STD, LTD Income Insurance Plans
- • 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
- • Learning / Education stipend
- • Participation in talks and conferences
- • Employee Resource Groups
- • AI enablement workshops / sessions
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Deepgram Inc.
Deepgram builds end-to-end speech AI infrastructure that converts live or recorded audio into text and insights. The company trains large-scale neural networks on GPU clusters to deliver low-latency transcription, keyword detection, and speaker diarization through a single API. Developers use the platform for call centers, meetings, podcasts, and voice bots, paying per minute or hosting the engine on-premise. Founded in 2015 and headquartered in San Francisco, Deepgram serves enterprises seeking accurate, private, and customizable speech recognition without vendor lock-in.
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