[Remote] Technical Program Manager, Research

Note: The job is a remote job and is open to candidates in USA. Deepgram is the leading platform in the Voice AI economy, providing real-time APIs for speech-to-text and text-to-speech. The Technical Program Manager will be embedded in the Research organization, driving the delivery of complex programs and ensuring collaboration among cross-functional teams to turn research breakthroughs into impactful products.

Responsibilities

• Own end-to-end delivery of new model versions and features for our flagship STT and TTS offerings, coordinating tightly across Research, Product, DataOps, and Engineering to hit milestones and ship on time
• Define and champion lightweight but effective processes that bring visibility and accountability to researchers’ daily workflows without adding unnecessary overhead or stifling scientific creativity
• Map dependencies and risks across all active cross-functional projects; maintain a clear picture of where things stand, where they’re at risk, and what needs to happen to keep execution on track
• Run cross-functional programs end-to-end: scope definition, timeline management, stakeholder communication, risk mitigation, and launch readiness
• Troubleshoot cross-team blockers quickly and build reliable partnerships across the technical organization so that handoffs between teams are smooth and accountability is clear
• Own proactive communication across all levels of the organization: leadership should always have an accurate read on project health, and teams should always know how their work fits into the bigger picture
• Respond quickly to shifting priorities, translating decisions made upstream into clear implications for timelines, team capacity, and cross-functional dependencies

Skills

• 5+ years of experience as a Technical Program Manager or Engineering Program Manager, ideally with meaningful time spent supporting or embedded in an AI/ML Research organization
• In-depth, working knowledge of how machine learning systems are built (i.e., data pipelines, model training, evaluation, and serving) that allows you to engage meaningfully with researchers and engineers on technical tradeoffs
• Proven track record of delivering complex, multi-workstream technical programs on time across teams with competing priorities
• Demonstrated ability to map cross-functional dependencies and technical risk across concurrent projects, with clear status communication to all stakeholders
• Experience designing lightweight processes that improve execution velocity and accountability in research or engineering environments without adding bureaucratic overhead
• Strong analytical skills for evaluating program health, spotting bottlenecks early, and making data-informed prioritization decisions
• Excellent communication in both directions: crisp updates for senior leadership, clear direction for researchers
• A pragmatic, roll-up-your-sleeves orientation: we need you to be equally effective at the strategic level and in the details
• Bonus points for experience with speech or audio projects — audio data collection and labeling, audio model evaluation (including human eval), or shipping products where audio quality is the core user experience

Benefits

• Medical, dental, vision benefits
• Annual wellness stipend
• Mental health support
• Life, STD, LTD Income Insurance Plans
• Unlimited PTO
• Generous paid 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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