Clarion is building the most advanced AI communication layer for healthcare, enabling clinics overwhelmed by routine calls and messages to finally come up for air. Our multichannel AI agents automate complex workflows end-to-end, freeing staff to focus on patient care.

The reality of healthcare today: clinics miss 30-40% of inbound calls due to staffing shortages, while patients struggle to connect with providers. We've built AI agents that handle scheduling, billing, prescription refills, and more—serving tens of thousands of patients monthly.

We're growing rapidly, serving dozens of customers including virtual care companies, outpatient health systems, and a $5B publicly traded health insurance company. With demand surging and revenue quadrupling in recent months, we're scaling our team.

We are an in-person company based in New York. We've raised $5.3M from Accel, Y Combinator, Sequoia (scout), and founders of Ophelia, Medallion, Counsel, Elemy, and Sana.

Our clinician-led founding team combines healthcare operations expertise with technical excellence. Dr. Ryan Gallagher, our CEO, is a Stanford/Harvard-trained physician from the founding teams of Two Chairs and Ophelia (YC W20). Jeffrey Lamothe, our CTO, worked on voice AI at Amazon Alexa and led AI/ML projects at Salesforce and Citi.

Join us as we transform healthcare communication. We're creating a future where patients receive faster resolutions, staff are happier, and providers have more time for what matters most: patient care.

About Clarion

At Clarion, we're rebuilding how healthcare communicates in the age of AI. Today, clinics miss 30-40% of patient calls while staff drowns in administrative tasks. We believe AI agents should handle these workflows—scheduling, billing, prescription refills—so healthcare teams can focus on actual patient care.

We're building the communication infrastructure that modern healthcare desperately needs. Our AI agents don't just answer calls; they complete entire workflows end-to-end, giving providers back their time and ensuring patients never go unheard. We've already handled hundreds of thousands of patient interactions across virtual care companies, health systems, and a $5B health insurance company.

Founded by a Stanford/Harvard-trained physician who built Two Chairs and Ophelia, and an ex-Amazon Alexa engineer who led AI/ML at Salesforce, we uniquely understand both the clinical and technical challenges of transforming healthcare communication.

We've raised $5.4M from Accel, Y Combinator, Sequoia (scout), and healthcare founders from Ophelia, Medallion, and Counsel Health. We're an in-person team based in New York, moving fast to ensure no patient call goes unanswered.

Why Join Us?

• Early-stage with strong market validation : We have dozens of paying customers with rapidly growing revenue and strong market signals, while offering the high-impact environment of an early-stage startup.

• Solving a massive healthcare challenge : We're addressing a critical problem in healthcare communication that affects millions of patients and providers daily, with technology that can truly transform the patient experience.

• Technical founding team : You'll work directly with experienced founders who deeply understand both healthcare operations and technical development, enabling faster decision-making and better product outcomes.

• Cutting-Edge Tech Frontier: You’ll harness the latest generative AI models—LLMs, voice synthesis, and real-time transcription—to craft conversational agents that transform healthcare communication, while driving innovation to push these technologies beyond their current limits.

• In-person collaboration advantage : We've built in-person since day one and maintain this as a strategic advantage—we move faster, build stronger bonds, and create a cohesive culture.

What you'll be working on

• 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 : 3+ years of engineering experience, with a proven track record of shipping production systems.

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

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

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

You are a good fit if

• You build with intensity and excellence —shipping solid code fast, tackling tough problems from start to finish, and holding steady under pressure.

• You take full ownership of your work, acting with high agency in unclear, shifting situations.

• You bring technical passion and a team spirit —driven to solve hard challenges and lifted by working closely with customers and teammates.

Interesting Technical Challenges

• Generative AI at Scale: Deploy at-scale production systems using generative AI models, tackling safety, alignment, and real-time monitoring.

• AI for Healthcare Conversations: Build voice agents that understand medical terminology, navigate complex clinical workflows, and make real-time decisions with accuracy comparable to trained medical staff.

• Real-time Voice Infrastructure: Create a system that processes speech in milliseconds, handles multiple concurrent calls, and maintains high availability for mission-critical healthcare communications.

• Integration with Fragmented Systems: Connect seamlessly with diverse healthcare platforms—from modern cloud APIs to decades-old legacy systems—creating a unified communication layer.

• Highly Personalized Experiences: Develop AI that remembers patient preferences, adapts to individual communication styles, and creates natural conversations that feel remarkably human.

What we offer

• Transformative impact : Build technology that directly improves healthcare for millions—your code will liberate medical staff from administrative burden and give patients seamless access to care

• Growth trajectory : Join our founding team, grow into leadership, build your team, and shape the technical direction of a rapidly scaling company

• Technical frontier : Work at the bleeding edge of AI and voice technology, solving problems most engineers never get to tackle

• Career opportunity : Position yourself at the convergence of healthcare and conversational AI, building solutions that healthcare organizations desperately need

• Exceptional compensation : Competitive salary, meaningful equity, and comprehensive benefits including 100% covered healthcare, flexible time off, 401(k)

Interview Process

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

• First Chat (30 min) [Virtual]: A casual conversation about the role and your experience to see if there's a good initial fit.

• Technical Assessment (1 hr) [Virtual]: Work through a system design exercise with our CTO.

• Team Day (Half-day) [In-Person]: Visit our New York office to meet the team, collaborate on real engineering challenges, and see if we're a good match for each other.

If you're ready to transform how millions of patients connect with their healthcare providers, we'd love to hear from you.

Interesting Technical Challenges

• AI for healthcare conversations: Build voice agents that understand medical terminology, navigate complex clinical workflows, and make real-time decisions with accuracy comparable to trained medical staff
• Real-time voice infrastructure: Create a system that processes speech in milliseconds, handles multiple concurrent calls, and maintains high availability for mission-critical healthcare communications
• Integration with fragmented systems: Connect seamlessly with diverse healthcare platforms—from modern cloud APIs to decades-old legacy systems—creating a unified communication layer
• Highly personalized experiences: Develop AI that remembers patient preferences, adapts to individual communication styles, and creates natural conversations that feel remarkably human
• Privacy and security at scale: Design systems that maintain strict HIPAA compliance and protect sensitive health information while handling thousands of interactions daily