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AI Product Manager

📍 Denver, United States 💼 On-site ⏰ Full Time 📋 Temporary or Fixed-Term Contract 🏷️ IT and Telecommunications

Work mode: On-site · Location: Denver, United States · Schedule: Full Time.

Annual salary
$60/year
Application Deadline
📅 Dec 4, 2026

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Job Description

N2P Systems is seeking an experienced AI Product Manager to join our enterprise technology delivery team. At N2P Systems, you will put 5-8 years of hands-on experience with Product Management, AI/ML Product Delivery and AI/ML Concepts to work on mission-critical enterprise systems. This is an existing contract, fully remote vacancy with N2P Systems.

N2P Systems is seeking an experienced AI Product Manager to drive the development and delivery of AI-powered clinical summarization and clinical decision support solutions. This role focuses on translating healthcare and business needs into actionable AI product strategies, coordinating technical and clinical stakeholders, and managing products throughout their lifecycle, from initial concept to production deployment.

Working alongside Data Scientists, AI Engineers, Clinical Subject Matter Experts, and business stakeholders, you will help deliver AI-driven healthcare solutions while maintaining a strong focus on clinical accuracy, data quality, and product performance.

N2P Systems uses AI to help screen and assess applications for this role. N2P Systems is an enterprise technology consulting and digital solutions firm operating across Canada, the United States and India.

Key Responsibilities:

• Establish product vision, roadmaps, and functional requirements for AI-powered healthcare solutions.

• Evaluate and prioritize product features based on business value, clinical impact, and technical feasibility.

• Manage the complete AI product lifecycle, from conceptualization and development through production deployment.

• Convert clinical and business requirements into functional specifications for AI-enabled products.

• Coordinate with Data Scientists, Machine Learning Engineers, and development teams throughout product delivery.

• Establish product success metrics and KPIs to measure performance and adoption.

• Participate in AI model evaluation, validation, and ongoing improvement initiatives.

• Maintain standards for clinical accuracy, data quality, and regulatory compliance.

• Document complex clinical workflows, business processes, and data requirements.

• Contribute to clinical summarization, clinical decision support, and broader healthcare data initiatives.

• Work with both structured and unstructured clinical datasets.

• Facilitate discovery sessions, stakeholder workshops, and requirements-gathering activities.

• Coordinate with clinical, business, operational, and technical stakeholders.

• Present product vision, priorities, and progress to executive stakeholders.

• Balance competing priorities and maintain alignment across cross-functional teams.

Required Skills & Qualifications:

• At least 5 years of professional Product Management experience.

• At least 2 years of experience delivering AI/ML-enabled products in a professional environment.

• Experience collaborating with Data Scientists, AI Engineers, and technical delivery teams.

• Practical experience with requirements gathering, user stories, and product documentation.

• Understanding of AI/ML concepts, including model evaluation, validation, and performance monitoring.

• Experience managing stakeholders across business and technical organizations.

• Ability to make analytical, data-driven product decisions.

• Strong communication and presentation capabilities.

Preferred Qualifications:

• Exposure to healthcare data and clinical information management.

• Familiarity with clinical summarization and clinical decision support solutions.

• Experience working with structured and unstructured clinical datasets.

• Understanding of clinical data quality, accuracy, and regulatory compliance considerations.

• Experience defining KPIs and measuring AI product performance and adoption.

• Familiarity with AI model evaluation, validation, and continuous improvement processes.

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About the Company

N2P Systems