You will build and improve AI voice and chat agents while developing cost estimation algorithms using LLMs and statistical analysis. You are responsible for designing scalable backend systems and owning features from initial requirements through to production monitoring.
Lead end-to-end healthcare SaaS implementations, managing project timelines, client expectations, configuration, training, and issue resolution through deployment. Document implementation requirements and collaborate with Sales, Customer Success, Product, and Engineering to deliver successful client outcomes.
You will own product performance dashboards and translate customer feedback into actionable metrics to identify product gaps. You will collaborate with cross-functional teams including product, engineering, and customer success to monitor performance and prevent escalations.
You will build AI-based workflows to interpret complex healthcare data and own the end-to-end development of pre-service product features. This includes analyzing production data to resolve accuracy gaps and collaborating with leadership to maintain high-quality, scalable code.