Jobs at SuperDial

The Quality Lead will design and improve QA processes and systems, drive continuous improvement, and ensure high-quality customer deployments and AI performance.

As a Forward Deployed Engineer, you'll design backend services and APIs using Python, collaborate with customers, and lead technical projects to enhance an AI-driven RCM platform.

Lead a core AI agent product area for healthcare revenue cycle automation. Define strategy, metrics, and roadmaps; partner with Engineering, Operations, and customers to improve agent reliability, workflow completion, and scalability. Use data, pilots, and feedback to iterate, define quality measures, support GTM, and build repeatable product patterns for scaled deployments.

Support development, testing, launch, and improvement of AI agent workflows for healthcare revenue cycle. Define requirements, analyze customer and operational feedback, run QA and pilots, track agent performance, create documentation, and collaborate with Product, Engineering, Operations, Customer Success, and Sales to scale reliable automation.

The General Counsel will build and lead the legal function at SuperDial, managing various legal matters including commercial contracts, healthcare compliance, and governance. Responsibilities include auditing processes, drafting agreements, advising teams, and establishing legal infrastructure to support growth.

Lead outbound prospecting into healthcare and revenue cycle buyers to create qualified pipeline: research accounts, run personalized sequences (call, email, LinkedIn), qualify opportunities, hand off to AEs, maintain CRM hygiene, iterate on messaging, and build repeatable outbound playbooks.

Own end-to-end trial execution from intake through results delivery and handoff into deployment. Translate customer needs into operational workflows, track and improve trial metrics, diagnose performance issues, drive cross-functional corrective actions, and build repeatable AI-enabled playbooks, automation, dashboards, and handoffs to scale trial operations.

As the Deployment Operations Lead, you'll manage enterprise customer deployments from onboarding to production launch, ensuring engagement and satisfaction through clear communication and operational workflows.

The Staff Software Engineer will architect and implement backend systems for LLM applications in healthcare, focusing on APIs, data pipelines, and compliance.

The Staff Software Engineer will design backend services, APIs, and infrastructure for AI-powered healthcare tools, ensuring reliability and compliance.

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.

Lead full-cycle enterprise sales into MSO and DSO accounts for an AI healthcare automation company. Build targeted pipeline, conduct executive discovery, design solutions, run pilots, negotiate contracts, and close high-value deals while coordinating cross-functional teams and contributing market feedback to improve GTM.

As a Sales Development Representative, you'll drive outbound prospecting in healthcare, qualifying leads, and collaborating with marketing to enhance campaigns.

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.

Serve as the in-house revenue cycle expert translating end-to-end RCM workflows into product insights, sales enablement, and customer solutions. Partner with Product, Sales, and CS to design workflows, refine messaging and scripts, support onboarding/adoption, and surface expansion opportunities while representing the voice of the customer.

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.