
51 - 200 employees
π₯ Healthcare
π€ Artificial Intelligence
βοΈ SaaS
π° $30M Seed on 2025-02
Healthcare β’ Artificial Intelligence β’ 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.
π₯ 19 minutes ago
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51 - 200 employees
π₯ Healthcare
π€ Artificial Intelligence
βοΈ SaaS
π° $30M Seed on 2025-02
Healthcare β’ Artificial Intelligence β’ 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.
β’ Take new product ideas from an open, often ambiguous problem statement through to a deployed, working product β’ Independently perform data discovery against client data β’ Design and build the data pipeline and agentic AI workflow each product needs β’ Exercise judgment on when to build on existing platform infrastructure versus when to build something new β’ Carry products through production deployment and own post-launch iteration directly with health system clients β’ Own data spec documentation for each product you build
β’ Bachelor's degree in Computer Science, Engineering or a related field β’ Deep Databricks/Spark expertise at the architecture level β performance tuning, cluster management, Delta Lake design patterns β’ Experience building reusable data frameworks, tooling, or platforms β’ Demonstrated ability to hire, develop, and retain strong engineers
β’ Competitive salary β’ Equity packages β’ Robust medical/dental/vision insurance β’ Flexible working hours β’ Hybrid work options β’ Inclusive environment that fosters creativity and innovation
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