À propos
At Clarion, we're rebuilding how healthcare communicates in the age of AI.
Today, clinics miss 30-40% of patient calls, while staff are overwhelmed by administrative work. We believe AI agents should handle these workflows-scheduling, billing, prescription refills, and follow-ups-so healthcare teams can focus on actual patient care.
We're building the communication infrastructure modern healthcare needs. Our AI agents don't just answer calls-they complete workflows end-to-end, ensuring patients never go unheard. To date, we've handled hundreds of thousands of patient interactions across virtual care companies, health systems, and a $5B health insurance company.
Clarion was founded by a Stanford/Harvard-trained physician (founding team at Two Chairs and Ophelia) and an ex-Amazon Alexa engineer who led AI/ML teams at Salesforce. We've raised $10M from Accel, Y Combinator, Sequoia (Scout), and leading healthcare founders. We're an in-person team in New York, moving fast to solve one of healthcare's most critical problems.
Why This Role Is Special Real traction, early-stage impact:
Dozens of paying customers, rapidly growing revenue, and the opportunity to own foundational backend systems at a critical inflection point. Mission-critical problem:
Healthcare communication failures affect millions daily-your work directly powers systems patients and providers rely on. Elite technical context:
Work closely with founders who deeply understand both healthcare operations and large-scale AI systems, enabling fast decisions and real ownership. What You'll Own
Core backend systems:
Design, build, and own the services, data models, and business logic powering Clarion's AI agents and healthcare workflows. Workflow orchestration:
Build infrastructure for multi-step, asynchronous workflows-including agentic AI workflows with conditional logic, retries, and graceful failure handling. Healthcare integrations:
Own high-stakes integrations with EHRs and legacy healthcare platforms via APIs and RPA. Platform foundations:
Create internal abstractions and tooling that allow the team to deploy and customize AI assistants for new customers quickly and reliably. Security and compliance:
Implement and maintain backend authentication, authorization, and HIPAA-compliant architecture required for enterprise healthcare. Interesting Technical Challenges
Generative AI at Scale:
Design and operate production systems using LLMs with real-time monitoring, safety controls, and enterprise reliability. Agentic workflows:
Architect backend systems that coordinate AI agents across complex healthcare workflows with strong guarantees. Enterprise reliability:
Build systems supporting thousands of concurrent patient interactions with high uptime and fast incident detection. Fragmented healthcare systems:
Design resilient abstractions across modern APIs and legacy EHRs while maintaining security and compliance. What We're Looking For
5+ years of experience
designing, building, and scaling backend systems in high-reliability production environments. Strong backend expertise across
APIs, relational databases, async workflows, and distributed systems . High ownership and agency-you thrive in ambiguity and take responsibility for system outcomes. Ability to communicate clearly, collaborate cross-functionally, and surface risks early. Bonus: experience with
security, auth, or regulated environments
(HIPAA familiarity is a plus). You'll be a great fit if you enjoy owning critical backend systems end-to-end, solving complex problems under real-world constraints, and building infrastructure that directly impacts patient care.
Interview Process
We move quickly and communicate clearly at every stage:
Intro Chat (30 min, Virtual):
Background, role context, and mutual fit. Technical Deep Dive (1 hr, Virtual):
Backend systems and architecture with the CTO and a senior engineer. Onsite Team Day (Half Day, NYC):
Collaborate on real problems, present a past project, meet the team, and assess mutual fit.
Decisions are typically made
within 24 hours
of each stage.
Compétences linguistiques
- English
Avis aux utilisateurs
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