Teams at SuperDial

Build and scale backend systems for production LLM applications in healthcare. Responsibilities include architecting APIs, services, data and RAG pipelines, LLMOps observability, performance optimization, cloud infrastructure, security, HIPAA-ready compliance, and auditability. The role partners with product, ML, and healthcare teams while leading delivery, establishing engineering practices, and mentoring engineers. Candidates need strong Python and backend engineering skills, distributed systems expertise, cloud-native experience, and at least three years working with ML or LLM applications.

Head of Talent responsible for building and leading SuperDial’s talent function. The role owns workforce planning, recruiting strategy, sourcing, candidate experience, employer brand, compensation coordination, hiring metrics, and offer closing. This leader will personally recruit critical AI, healthcare, and enterprise sales roles while establishing scalable processes, scorecards, partnerships, and a recruiting team. They will work closely with founders, executives, finance, and the board to deliver the company’s hiring plan.

Owns customer trial operations from intake through results delivery and deployment handoff. The role translates customer needs into workflows, scripts, metrics, and quality standards; tracks performance; diagnoses root causes; drives cross-functional corrective actions; and builds scalable playbooks, dashboards, automation, and operating systems. Requires strong operational judgment, analytical ability, customer-facing communication, and experience managing complex workflows in commercially visible environments.