About Clarion

Clarion is building the most advanced AI communication layer for healthcare. Our AI agents handle the overwhelming volume of calls and messages that clinics face daily—from scheduling to billing to prescription refills—freeing staff to focus on patient care. We're an in-person company based in New York.

Today, clinics miss 30-40% of inbound calls due to staffing shortages. We're solving this by automating complex workflows end-to-end, already serving tens of thousands of patients monthly across virtual care companies, health systems, and a $5B health insurance company.

We've raised $5.4M from Accel, Y Combinator, Sequoia (scout), and healthcare founders from Ophelia, Medallion, and Counsel Health.

Our founders bring both clinical and technical expertise—our CEO Ryan is a Stanford/Harvard-trained physician who was on the founding teams of Two Chairs and Ophelia, while our CTO Jeffrey built voice AI at Amazon Alexa and led AI/ML teams at Salesforce.

Join us as we transform healthcare communication—creating a future where patients get faster resolutions and providers reclaim time for what matters most.

Why Join Us?

• Early-stage impact with proven traction: Dozens of paying customers, rapidly growing revenue, and strong market signals—all in the high-impact environment of an early-stage startup.

• Tackling a massive healthcare challenge: Address a critical problem in communication that affects millions of patients and providers daily, using technology that truly transforms the patient experience.

• Technical founding team: Collaborate directly with experienced founders who understand healthcare operations and technical development, enabling faster decisions and better outcomes.

• Cutting-edge tech frontier: Harness the latest generative AI models—LLMs, voice synthesis, and real-time transcription—to build conversational agents that push healthcare innovation beyond current limits.

• In-person collaboration advantage: We've prioritized in-person work from day one for faster progress, stronger team bonds, and a cohesive culture.

Responsibilities

• Embed with customer teams to deploy and optimize AI agents in live healthcare environments.

• Collaborate with engineering and product teams to customize solutions based on client feedback.

• Troubleshoot and iterate on healthcare integrations to ensure seamless performance.

• Drive customer success through onsite training, support, and relationship management.

• Contribute to product roadmap by identifying real-world challenges faced by customers

Requirements

• Technical excellence with customer focus: 3+ years of engineering experience, with a proven track record of shipping production systems while working directly with customers.

• Healthcare systems experience: Familiarity with healthcare workflows, EHR integrations, or regulated environments (HIPAA compliance is a plus).

• Full-stack engineering skills: Proficiency in our tech stack (Node.js, TypeScript, React, PostgreSQL), with the ability to build reliable integrations and debug complex systems.

• Travel flexibility: Willingness to travel to customer sites 15-25% of the time for onsite deployments and relationship building.

• High agency and ownership: Comfortable in ambiguous situations, making independent decisions, and taking full responsibility for customer success.

Interesting Technical Challenges

• Healthcare-specific AI tuning: Configure voice agents to handle medical terminology, clinical context, and patient communication with empathy and accuracy.

• Complex workflow orchestration: Map and automate multi-step processes spanning scheduling, insurance verification, prescription management, and clinical documentation.

• Real-time system reliability: Maintain sub-second response times and 99.9% uptime for mission-critical healthcare communications.

• Secure, compliant integrations: Build robust connections with legacy systems while ensuring HIPAA compliance and protecting sensitive patient data.

• Scale personalization: Deploy AI agents that adapt to each organization's unique protocols, terminology, and style while maintaining consistent quality.

Interview Process

At each stage, we decide within 24 hours and update you shortly after:

• First Chat (30 min) [Virtual]: Discuss your relevant experience and technical strengths.

• System Design Screen (1 hr) [Virtual]: Exercise focused on designing LLM-based applications.

• Applied Coding Exercise (1 hr) [Virtual]: Hands-on challenge for building and optimizing AI agents in healthcare.

• Onsite (Half-day) [In-Person]: Visit our New York office to meet the team, explore our platform, and solve technical problems collaboratively.