AcuityMD is a software and data platform that accelerates adoption of medical technologies. Each year, the FDA approves ~6,000 new medical devices. Our platform helps MedTech companies get these products to physicians more effectively so they can improve patient care with the latest technology. We're backed by Benchmark, Redpoint, and Ajax Health and we help MedTech companies identify how their products are used, understand why outcomes vary, and identify opportunities where physicians can better serve their patients. We are a team of agentic builders who rely heavily on AI development practices to accelerate our ability to deliver value to our customers. We believe in extreme ownership and agency, where every engineer takes responsibility for working throughout the organization to land impact with customers. We're a close-knit team that enables high levels of autonomy by constantly communicating our intentions, sharing problems and learnings, and helping each other learn and grow. We are looking for a strongly technical and empathetic engineering leader for our growing Encounters Intelligence team. Reporting to the Head of Engineering, you will be instrumental in developing our most critical data product, growing and coaching the team, and charting a roadmap of technical investments to achieve our product goals. You will join the engineering leadership team to help shape the culture, processes, and tools across engineering. We are looking for a technical systems thinker and a visionary, but execution-oriented leader for this highly impactful role. We believe the important aspects of software are deep in the details and lead-from-the-front managers who have an in-depth understanding of their team’s mission, product, and software and its connection to our overall company strategy truly thrive in our environment. The Team The Encounters Intelligence Team is on a mission to provide the most accurate, timely, and comprehensive view of medical reality to enable our MedTech customers to effectively turn cutting edge medical technologies that could help people into technologies that do help people. We thrive on the challenge of turning the complexity of the healthcare system into simple, actionable intelligence through deep domain expertise, careful modeling, and rapid iteration. The challenges include modeling & harmonizing the procedural data across the entire US using a combination of diverse and overlapping sources, automated data validation without access to a ground truth dataset, building systems and frameworks to deploy, scale, manage and monitor ML models and forecasting algorithms for procedure and sales volume at the individual doctor, procedure, and device levels throughout the US.
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Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed