Teams at Dialpad

Lead design of agentic voice personas and interaction standards. Define pacing, prosody, handoffs, and quality metrics; partner with AI and Speech engineers to shape prompt-driven behaviors and turn-taking; research emotional states and set platform-wide VUI standards applied across verticals.

Own product direction for custom SLMs, ASR, and real-time inference across the full model lifecycle: data acquisition and annotation, training and adaptation, evaluation, release, monitoring, and retirement. Define data strategy and quality bars, run evals and error analyses, make trade-offs between latency, cost, and model capability, and coordinate with product engineering and GTM while owning release and rollback decisions.

Conduct R&D and implement state-of-the-art NLP and ML algorithms to build real-time, multimodal, agentic LLM features for transcribed voice and chat data. Evaluate model performance, manage large text datasets, collaborate with engineering/product/design to deploy scalable models, and contribute to academic publications.