Note: The job is a remote job and is open to candidates in USA. Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text and text-to-speech. They are seeking a Senior Technical Program Manager (Engineering) to drive execution across complex, cross-functional programs involving software and hardware, working closely with engineering and research teams to manage large-scale initiatives from inception through delivery.

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

Skills

• 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
• 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

• Medical, dental, vision benefits
• Annual wellness stipend
• Mental health support
• Life, STD, LTD Income Insurance Plans
• 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
• 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.

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