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Research Program Manager ID-18930

About the position

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. You will develop strategic roadmaps that align research objectives with company goals, identifying dependencies and critical paths while maintaining flexibility for scientific exploration. Additionally, you will orchestrate 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, will also be part of your responsibilities. You will create 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 is essential. You will manage relationships with external partners, from academic collaborators to compute infrastructure providers, ensuring research outputs are properly documented, replicated, and positioned for eventual productization.

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Responsibilities

  • Architect and manage a portfolio of research initiatives across neural audio codecs, generative models, and multimodal speech systems.
  • Develop strategic roadmaps that align research objectives with company goals.
  • Orchestrate collaboration between research teams, ensuring efficient knowledge sharing.
  • Build and maintain research infrastructure that enables rapid experimentation.
  • Create processes that balance researchers' need for creative freedom with validation imperatives.
  • Establish clear success metrics and experimental frameworks for rapid iteration.
  • Manage relationships with external partners, including academic collaborators and compute infrastructure providers.
  • Ensure research outputs are documented, replicated, and positioned for 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.
  • 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.
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