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Medical Informatics Engineering

Senior Product Manager – AI

Medical Informatics Engineering

Senior Product Manager leading AI initiatives across MIE and Enterprise Health's product portfolio. Collaborating with cross-functional teams to enhance healthcare workflows and decision support via AI.

Posted 6/22/2026full-timeRemote • 🇮🇳 IndiaSeniorWebsite

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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

Benefits

Comp & perks
  • 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

ATS Keywords

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Hard Skills & Tools
AI use casesproduct managementAI architectureLLM-driven copilotsautomation agentsAI-enabled workflowsAI-assisted development techniquesproduct discoveryproblem framingprompt engineering
Soft Skills
stakeholder alignmentcommunication skillsanalytical mindsetoutcome-driven mindsetemotional intelligenceexecutive presenceability to prioritizecomfort in ambiguitycollaborationleadership