Enterprise AI platform for health systems. One integration, proven solutions, end-to-end governance, and real ROI. Trusted by 400,000 users. Backed by NEA and Menlo.
About the role
The New Product Development Lead is one of the most important individual-contributor hires we'll make this year. This is a 0-to-1 role. Given a new product idea, whether it's a clinical use case, a hospital operations problem, a revenue cycle workflow, or any other place AI can drive real value inside a health system, you independently take it from an open question to a working, deployed product, and you stay with it as it matures with real clients.
What they're looking for
- Education: Bachelor's degree in Computer Science, Engineering or a related field. Master's degree is preferred
- 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
- Hands-on experience building ML/LLM pipelines: agent/tool-based architectures, model serving, prompt engineering in production, evaluation frameworks
- Background as a founding or early engineer on a new product or platform, where you defined the approach rather than inherited one
More about this role
At Qualified Health, we're redefining what's possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring — working alongside leading health systems to drive real change.
This is more than just a job. It's an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you're ambitious, innovative, and ready to move fast, we'd love to have you on board.
Join us in shaping the future of healthcare.
The New Product Development Lead is one of the most important individual-contributor hires we'll make this year. This is a 0-to-1 role. Given a new product idea, whether it's a clinical use case, a hospital operations problem, a revenue cycle workflow, or any other place AI can drive real value inside a health system, you independently take it from an open question to a working, deployed product, and you stay with it as it matures with real clients.
That means doing the data discovery yourself: figuring out what signal actually exists in a client's data, whether it's usable, and what it would take to turn...
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