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Senior Product Manager - AI

Medical Informatics Engineering/Enterprise Health

Job Description

Job Description

We are seeking a Senior Product Manager – AI to help define and scale artificial intelligence capabilities across the MIE and Enterprise Health product portfolio.

This role will lead the discovery, strategy, and delivery of AI-native capabilities that enhance workflows, automation, and decision support across multiple product domains, including occupational health operations, employer coordination, clinical workflows, and reporting.

The Senior Product Manager – AI will partner closely with domain product leads, engineering teams, and customer stakeholders to identify high-impact opportunities where AI can meaningfully improve user experience, operational efficiency, and customer outcomes across multiple product domains.

Rather than owning a narrow set of AI features, this role acts as a cross-product capability leader, ensuring AI is embedded thoughtfully, responsibly, and effectively across our platform.

The ideal candidate combines strong product strategy, experience shipping AI-enabled software, and the ability to translate emerging AI technologies into practical enterprise workflows.

Company Overview

We provide solutions that make a meaningful difference in healthcare. Founded in 1995, MIE serves as the innovation engine for business units that serve hospitals and health systems, physician practices, Fortune 500 employers, government agencies, and consumers. MIE's web based health information technology platform is helping physicians, nurses, and administrators make a meaningful difference in healthcare delivery across the globe.

Key Responsibilities

AI Product Strategy & Discovery

○ 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.

AI Capability Development

○ 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

Commercialization & Adoption

○ 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

AI Platform & Governance

○ 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

Required Qualifications

  • 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

  • Certifications: Pragmatic Marketing, Agile / Scrum, and AI / ML certifications are a plus. Preferred Qualifications

○ Experience in healthcare IT or regulated industries

○ Experience working with LLMs, agentic workflows, or AI orchestration platforms ○ Experience prototyping AI-powered workflows using tools such as V0, Replit, or other rapid prototyping platforms

○ Familiarity with AI governance, compliance, and privacy considerations ○ Experience monetizing AI features and launching AI-driven products

○ Experience in occupational health, population health, or employer health solutions

○ MBA or relevant advanced degree preferred.

Why Join Us?

At MIE and Enterprise Health, we offer more than just a job. We provide an environment where innovative thinking is encouraged, teamwork is valued, and growth is fostered. Our comprehensive benefits package includes:

  • 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

Medical Informatics Engineering and Enterprise Health are equal-opportunity employers. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Vacancy posted 27 days ago
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