
51 - 200 employees
☁️ SaaS
🤖 Artificial Intelligence
🤝 B2B
💰 Series unknown on 2024-05
SaaS • Artificial Intelligence • B2B
Medical Informatics Engineering is a healthcare IT company founded in 1995 that develops electronic health record (EHR/EMR) and occupational health software, delivering certified, enterprise-grade SaaS solutions for ambulatory providers and workplace health programs. The company offers products such as WebChart (an early ambulatory EMR), Enterprise Health (occupational health platform), BlueHive (compliance/workforce health) and Ozwell AI, an AI-powered health IT product with Drummond pDSI-Risk certification. MIE focuses on improving clinical documentation and practice workflows for healthcare organizations and employers.
🕒 June 22
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51 - 200 employees
☁️ SaaS
🤖 Artificial Intelligence
🤝 B2B
💰 Series unknown on 2024-05
SaaS • Artificial Intelligence • B2B
Medical Informatics Engineering is a healthcare IT company founded in 1995 that develops electronic health record (EHR/EMR) and occupational health software, delivering certified, enterprise-grade SaaS solutions for ambulatory providers and workplace health programs. The company offers products such as WebChart (an early ambulatory EMR), Enterprise Health (occupational health platform), BlueHive (compliance/workforce health) and Ozwell AI, an AI-powered health IT product with Drummond pDSI-Risk certification. MIE focuses on improving clinical documentation and practice workflows for healthcare organizations and employers.
• Identify high-impact AI use cases tied to customer pain points and strategic priorities • Lead structured discovery with customers, stakeholders, and technical teams • Translate ambiguous problems into validated product opportunities • Define product vision, roadmap, and measurable outcomes for AI initiatives • Partner with domain product teams to identify opportunities where AI can meaningfully improve workflows, automation, and decision support. • Define reusable AI capabilities that can be leveraged across multiple product domains • Partner with engineering to design scalable AI architecture including orchestration layers, model integrations, and AI-enabled workflows • Support development of LLM-driven copilots, automation agents, and intelligent workflow assistance • Balance rapid experimentation with production readiness using AI-assisted development techniques • Define packaging, positioning, and monetization strategies for AI-powered capabilities • Drive alignment across Product, Engineering, Customer Success, and GTM on AI strategy and execution • Partner with Sales, Marketing, and Customer Success to drive adoption and commercial success • Establish KPIs tied to usage, performance, and business impact • Measure and iterate based on real-world performance • Collaborate with domain product leads to ensure AI capabilities are effectively embedded into customer workflows • Help define the long-term AI capability roadmap for the MIE / Enterprise Health platform • Establish standards for responsible AI use including security, privacy, explainability, and compliance • Partner with engineering leadership on AI architecture and model governance • Ensure AI features operate safely within healthcare and regulated environments • Support evaluation of emerging AI technologies and vendors
• Education: Bachelor’s in a related field preferred, or equivalent practical experience in SaaS product leadership and AI-driven solutions. • Experience: 5+ years of product management experience in SaaS or enterprise software. Demonstrated experience shipping AI / ML-powered features or AI-enabled workflows into production environments. Experience leading cross-functional teams for delivery and go-to-market commercialization. • Skills: Strong product discovery and problem framing capabilities • Ability to translate technical AI concepts into business value • Ability to prioritize initiatives based on customer impact, strategic fit, and ROI • Deep understanding of workflow systems and enterprise software • Excellent stakeholder alignment and communication skills • Comfort operating in ambiguity and fast-moving environments • Strong analytical and outcome-driven mindset • Strong emotional intelligence and executive presence • Familiarity with modern AI product development including LLMs, AI copilots, prompt engineering, and agentic workflows
• Competitive compensation • Comprehensive benefits package including medical/dental/vision insurance • 401k with company match • Paid-Time off • Quarterly bonus program • Flexible work schedule • Remote work
Apply Now🕒 June 22
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