Top Tech Jobs & Startup Jobs

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.

Build and maintain Dialpad's native Salesforce integration and other integrations, design architecture, write clean modular code with unit tests, participate in code reviews, mentor engineers, support ETL pipelines, and contribute to Agentic AI initiatives to enable real-time automations and data flows.

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.

Owner of backend implementation and linguistic optimization for TTS in agentic voice agents. Integrate and optimize multi-vendor TTS, apply phonetics and prosody for naturalness, design conversational turns and persona prompts, expose voice parameters to product UI, and collaborate with ASR and Audio AI teams to ensure end-to-end voice quality and low latency.

Design and implement TTS backend integrations, optimize linguistic inputs for naturalness, craft conversational turns and personas, manage prompt and voice-parameter systems, expose voice attributes to product UI, and collaborate with ASR and Audio AI engineers to ensure end-to-end voice quality and low latency.