
11 - 50 employees
🏥 Healthcare
🤖 Artificial Intelligence
☁️ SaaS
Healthcare • Artificial Intelligence • SaaS
Quadrivia AI is a healthcare-focused AI company that builds “Qu,” a clinician-facing AI assistant designed to support clinical workflows across providers, payors, pharma and startups. Qu performs tasks such as history-taking, hypothesis generation, investigation recommendations, treatment planning, monitoring, care coordination, and consultation summarization; it maintains a personal health record, is designed for EHR and wearable integration (future capabilities), and emphasizes clinical safety, human-in-the-loop oversight, regulatory compliance, and customizable deployment. The platform is delivered as a cloud-based, customizable product to help clinicians and healthcare organizations scale patient outreach, follow-up, and routine clinical tasks while preserving clinician control and clinical accuracy.
🔥 0 minutes ago
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11 - 50 employees
🏥 Healthcare
🤖 Artificial Intelligence
☁️ SaaS
Healthcare • Artificial Intelligence • SaaS
Quadrivia AI is a healthcare-focused AI company that builds “Qu,” a clinician-facing AI assistant designed to support clinical workflows across providers, payors, pharma and startups. Qu performs tasks such as history-taking, hypothesis generation, investigation recommendations, treatment planning, monitoring, care coordination, and consultation summarization; it maintains a personal health record, is designed for EHR and wearable integration (future capabilities), and emphasizes clinical safety, human-in-the-loop oversight, regulatory compliance, and customizable deployment. The platform is delivered as a cloud-based, customizable product to help clinicians and healthcare organizations scale patient outreach, follow-up, and routine clinical tasks while preserving clinician control and clinical accuracy.
• Own one or more customer accounts' agents end to end • Visit customer sites and observe workflows with schedulers, care coordinators, practice managers and clinical leads • Translate customer workflows into agent behaviour • Wire agents into EHR data and workflows, phone systems, call routing, scheduling platforms, insurance and eligibility steps, and clinical protocols • Serve as the AI and technical voice for customers and Sales during demos, proofs of concept and scoping • Configure agents in Cortex, including conversation graphs, prompts, variable extraction, escalation and confirm-then-act logic • Build and maintain journeys covering scheduling, retries, channel selection, call windows and escalation paths • Define KPIs and metrics tied to customer outcomes • Improve the platform and localize tools for new markets and segments • Author regression suites in Starfish covering scenarios, personas, judges and campaigns • Reproduce production failures, A/B test fixes and regression-gate suites • Work with Clinical and Quality to ensure testing maps to clinical safety • Monitor live agents, diagnose and fix incorrect behaviour, and prove fixes • Report automation metrics to customers, including containment, resolution, escalation rate and clinical quality flags • Distinguish agent misconfiguration from platform bugs and provide evidence to Engineering • Carry roughly twenty agents across customer accounts • Convert repeated manual work into tooling requirements for Product and Engineering • Write templates, standards and definitions of done for agent quality
• US healthcare fluency from working with or inside US provider organisations • Understanding of scheduling, referrals, front-desk and call-centre operations, EHR workflows, eligibility, prior authorisation and clinical-system adoption • Based in the US on the East Coast in the Eastern timezone • Able to travel regularly to customer sites in the US • 3–6 years in forward-deployed or solutions engineering, technical product, top-tier consulting, or comparable early-stage company work • Practical fluency with LLM systems, prompt design, structured extraction, evaluation and agent failure analysis • Comfort reading logs, dashboards, traces and configuration files • SQL and scripting skills • Exceptional written communication • Rigour about correctness and clinical safety • Hands-on experience with Epic, Cerner/Oracle Health, athenahealth or similar preferred • Contact-centre telephony experience preferred • Enterprise customer and stakeholder-management experience preferred • Conversational AI or voice-stack experience, including ASR/TTS, LiveKit, Twilio or equivalent, preferred • Experience building evaluation or regression-testing systems for non-deterministic software preferred • A second working language, especially Spanish; Mandarin also valuable
• Competitive compensation • Equity • Benefits • Mission-driven work at the intersection of AI, healthcare and enterprise technology
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