Director of AI Research

We’re building AI that changes how people capture, understand, and act on conversations and meetings. As Director of AI Research, you will lead research and development across automatic speech recognition (ASR), speaker identification (SID), large language models (LLMs), and audio language models. Your work will shape our AI capabilities, product direction, and long-term research strategy.

This is a hands-on leadership role for someone who combines research depth with experience building and deploying AI systems at scale. You will set technical priorities, guide model and infrastructure decisions, and work directly with the team on challenging research and engineering problems.

Partnering closely with Product, Engineering, and Data teams, you will turn research advances into reliable product capabilities. You will also build the team, experimentation practices, and technical foundation needed to move quickly while maintaining high standards for quality and performance.

• Set the research direction: Define and execute a research roadmap across speech recognition, speaker identification, LLMs, and audio language models, connecting technical advances to user needs and business priorities.
• Own the model lifecycle: Guide data preparation, model architecture, pre-training, post-training, evaluation, and deployment. Establish rigorous methods for measuring quality and improving models using large-scale training data.
• Lead and develop the team: Hire, mentor, and grow a high-performing AI research team. Build a culture of scientific rigor, open collaboration, and clear accountability. Encourage strong viewpoints backed by measurable results and a collaborative mindset that helps the team reach shared decisions.
• Scale training and inference: Drive improvements in model accuracy, latency, reliability, and cost through large-scale training, inference optimization, and efficient use of compute.
• Translate research into products : Evaluate emerging methods, reproduce promising results, and adapt advances from the literature to practical product challenges.
• Shape the AI platform: Partner with Engineering and Data teams to strengthen the infrastructure, tooling, and workflows that support rapid experimentation and reliable deployment.
• Identify new opportunities: Explore AI capabilities that expand what our products can do and support the company’s long-term vision.

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