Research Program Manager

February 12

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Deepgram

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Deepgram is a leading voice AI company that provides powerful APIs for speech-to-text, text-to-speech, and language understanding applications. Their platform enables developers to build sophisticated voice AI solutions for use cases such as contact centers, medical transcription, conversational AI, and more. Known for unmatched accuracy, speed, and cost-effectiveness, Deepgram's technology is trusted by top enterprises and startups worldwide. By offering real-time and highly accurate transcription capabilities, Deepgram helps businesses gain insights from voice data, making it an essential tool for transforming voice interactions.

Speech Search • Transcription • Speech Recognition • Audio Understanding • Speech Analytics

51 - 200 employees

Founded 2015

🤖 Artificial Intelligence

☁️ SaaS

🔌 API

💰 $47M Series B on 2022-11

📋 Description

• You will lead the strategic execution of our Voice AI Foundations research program, working at the intersection of cutting-edge research and practical implementation. • Your mission is to accelerate our path to breakthrough voice AI capabilities by: • Architecting and managing a portfolio of research initiatives across neural audio codecs, generative models, and multimodal speech systems. • Developing strategic roadmaps that align research objectives with company goals, identifying dependencies and critical paths while maintaining flexibility for scientific exploration. • Orchestrating collaboration between research teams, ensuring efficient knowledge sharing and preventing duplicate efforts across related projects. • Building and maintaining research infrastructure that enables rapid experimentation, including data pipelines, evaluation frameworks, and deployment systems. • Creating processes that balance our researchers' need for creative freedom with the imperative to validate ideas quickly and scale successful approaches. • Establishing clear success metrics and experimental frameworks that help teams rapidly iterate while maintaining scientific rigor. • Managing relationships with external partners, from academic collaborators to compute infrastructure providers. • Ensuring research outputs are properly documented, replicated, and positioned for eventual productization.

🎯 Requirements

• Deep familiarity with machine learning research processes and best practices, particularly in speech/audio or related fields • Proven track record of successfully delivering complex technical programs with multiple concurrent workstreams • Experience building and managing research infrastructure, including compute resources, data pipelines, and evaluation frameworks • Strong technical background that enables effective communication with research scientists and understanding of ML system requirements • Demonstrated ability to create and implement processes that accelerate research while maintaining scientific rigor • History of fostering collaboration across teams and establishing effective knowledge sharing practices • Experience with agile methodologies adapted for research environments • Strong analytical skills for evaluating project health, resource allocation, and strategic alignment • Excellent communication abilities for articulating technical concepts to diverse stakeholders

🏖️ Benefits

• Offers Equity • Offers Bonus