Jobs 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.

Analyze engagement and usage data to identify customer journey friction, lead quality initiatives, and improve call center and support workflows. Redesign processes, automate operations, track performance, and collaborate with Product, Customer Success, and Engineering to implement scalable systems. Present data clearly while managing multiple priorities in a fast-paced startup environment.

Serve as a business-minded legal partner across commercial contracting, corporate matters, employment, privacy, healthcare compliance, product counseling, AI, and general business issues. Negotiate enterprise technology agreements, advise leadership and cross-functional teams, support HIPAA and data protection needs, manage outside counsel, and build scalable legal templates, policies, playbooks, and approval processes.

Drive new enterprise business across healthcare segments by owning full sales cycles: prospecting, discovery, solution design, negotiation, and closing. Develop account strategies, build pipeline, engage cross-functional stakeholders, create business cases, lead pilots and proposals, and inform go-to-market strategy by testing emerging markets and sharing customer insights.

The Senior Full Stack Engineer will develop back-end systems in Python and create front-end applications using JavaScript/TypeScript and React. Responsibilities include owning product features, designing APIs, and optimizing performance within an AI healthcare platform.

Design, build, operate, and maintain backend services and scalable APIs for AI-powered healthcare workflows on GCP. Own well-scoped projects from design through delivery, debug production issues, collaborate cross-functionally, and build with HIPAA awareness and strong testing, observability, and security practices.