
51 - 200 employees
🏥 Healthcare
🤖 Artificial Intelligence
☁️ SaaS
💰 $30M Seed on 2025-02
Healthcare • Artificial Intelligence • SaaS
Qualified Health is a healthcare-native enterprise AI platform that unifies AI solutions, governance, integrations, and builder tools for health systems. The company provides an end-to-end platform that connects to clinical, operational, and financial systems to power multiple AI workflows, offers a library of validated AI solutions, agent and workflow builder tools, and built-in governance, oversight, and workforce education. It aims to enable safe, compliant, and measurable AI deployment across health systems and is partnered with major health systems and AI organizations; it reports rapid deployments (15k users in <1 month) and measurable financial and operational impact.
🕒 5 days ago
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51 - 200 employees
🏥 Healthcare
🤖 Artificial Intelligence
☁️ SaaS
💰 $30M Seed on 2025-02
Healthcare • Artificial Intelligence • SaaS
Qualified Health is a healthcare-native enterprise AI platform that unifies AI solutions, governance, integrations, and builder tools for health systems. The company provides an end-to-end platform that connects to clinical, operational, and financial systems to power multiple AI workflows, offers a library of validated AI solutions, agent and workflow builder tools, and built-in governance, oversight, and workforce education. It aims to enable safe, compliant, and measurable AI deployment across health systems and is partnered with major health systems and AI organizations; it reports rapid deployments (15k users in <1 month) and measurable financial and operational impact.
• Take new product ideas from an open, often ambiguous problem statement through to a deployed, working product • Independently perform data discovery against client data • Design and build the data pipeline and agentic AI workflow each product needs • Exercise judgment on when to build on existing platform infrastructure versus when to build something new • Carry products through production deployment and own post-launch iteration directly with health system clients • Own data spec documentation for each product you build
• Bachelor's degree in Computer Science, Engineering or a related field • Deep Databricks/Spark expertise at the architecture level — performance tuning, cluster management, Delta Lake design patterns • Experience building reusable data frameworks, tooling, or platforms • Demonstrated ability to hire, develop, and retain strong engineers
• Competitive salary • Equity packages • Robust medical/dental/vision insurance • Flexible working hours • Hybrid work options • Inclusive environment that fosters creativity and innovation
Apply Now🕒 5 days ago
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