New Product Development Lead

🕒 July 28

🇺🇸 United States – Remote

💵 $195k - $240k / year

⏰ Full Time

🟠 Senior

👻 Ghost score 16%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Qualified Health

WebsiteLinkedInAll Job Openings

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.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Competitive salary • Equity packages • Robust medical/dental/vision insurance • Flexible working hours • Hybrid work options • Inclusive environment that fosters creativity and innovation