AcuityMD develops a medical technology software platform for commercializing and improving medical devices with data.
This company operates with a remote-first culture, allowing team members to work from anywhere. Team members are distributed across the U.S. and Canada.
AcuityMD pioneers a software and data platform that accelerates access to life-changing medical technologies. Every year, 6,000 new medical devices gain FDA approval. Our platform empowers MedTech companies to efficiently deliver these innovations to physicians. You help improve patient care with cutting-edge technology. You work with nearly 500 MedTech companies, including eight of the top ten in the industry. Our solutions have helped customers identify over $34 billion in pipeline. The company has secured $163 million in funding over four rounds.
AcuityMD operates as a remote-first company, with a core team based in Boston. Team members are distributed across the U.S. and Canada. You work with full remote flexibility, allowing you to contribute from anywhere in the US. The company fosters a culture built on curiosity, continuous learning, and growth. Team members take extreme ownership and agency, driving impact directly with customers. Decision-making and collaboration happen transparently, encouraging open communication and mutual support. You engage in optional company-wide offsites, team project meetings, and local social events to foster connection.
You will join a high-growth AI and Data company scaling rapidly. Engineers at AcuityMD solve complex problems to bring cutting-edge medical technologies to patients. You rely heavily on AI development practices, using agentic tools like Claude Code and Codex to accelerate value delivery. Your work spans web and mobile platforms, utilizing technologies such as JavaScript, React, TypeScript, GraphQL, Node.js, Python, and SQL. Data engineers work with modern cloud data warehouses like BigQuery and Google Cloud Storage. You also build predictive models and data products using statistical and machine learning techniques, transforming messy healthcare data into actionable insights.