Senior Product Manager - AI & Analytics

TigerConnect transforms healthcare with a clinical collaboration platform that modernizes the way healthcare teams connect and communicate. They are seeking a Senior Product Manager to lead AI and Analytics product initiatives, focusing on developing capabilities that leverage artificial intelligence and advanced analytics for healthcare customers.

Responsibilities:

• Define and execute product strategy for AI and analytics capabilities within the TigerConnect platform
• Develop comprehensive product requirements, user stories, and acceptance criteria for AI-powered features
• Create and maintain a product roadmap that balance innovation with customer needs and business objectives
• Design analytics frameworks that enable customers to measure outcomes and demonstrate ROI
• Partner with engineering to evaluate AI/ML technologies, architectures, and implementation approaches
• Identify and prioritize opportunities to apply AI and machine learning to healthcare workflow challenges
• Research emerging AI technologies and assess their applicability to healthcare use cases
• Design intelligent automation solutions that improve efficiency and reduce manual effort
• Develop data-driven insights capabilities that enable better decision-making for healthcare organizations
• Establish governance frameworks and best practices for responsible AI deployment in healthcare settings
• Lead development of agentic AI capabilities including autonomous workflow automation, intelligent assistants, and multi-step decision-making systems that can independently complete complex healthcare tasks
• Develop rigorous business cases including financial analysis, market sizing, and competitive assessment
• Create ROI models and value propositions that resonate with healthcare executives and procurement teams
• Define success metrics and KPIs for AI and analytics products
• Monitor product performance and iterate based on usage data and customer feedback
• Drive cross-functional alignment across Product, Engineering, Sales, Marketing, and Customer Success teams
• Conduct customer discovery to understand pain points, workflows, and unmet needs
• Lead user research activities including interviews, surveys, and usability testing
• Develop and execute pilot programs to validate product concepts with early adopter customers
• Synthesize customer feedback into actionable insights while maintaining strategic product direction
• Build strong relationships with key customers and serve as a trusted advisor on AI and analytics topics

Requirements:

• Bachelor's degree in Computer Science, Engineering, Business, or related field (MBA or advanced degree in a technical field preferred)
• 7+ years of product management experience in B2B SaaS or enterprise software
• Demonstrated experience building AI/ML-powered products or analytics platforms from concept through launch
• Experience with Large Language Models (LLMs), natural language processing, or conversational AI
• Strong technical foundation with understanding of modern AI/ML technologies, data platforms, and analytics tools
• Understanding of AI safety, ethics, and responsible AI practices
• Proven ability to create compelling business cases with rigorous financial analysis
• Track record of successful product launches that delivered measurable business results
• Excellent customer discovery and user research skills
• Strong written and verbal communication skills with ability to influence stakeholders at all levels
• Familiarity with data analytics platforms and business intelligence tools
• Previous experience launching 0-to-1 products or new product categories
• Strong preference for hands-on experience with AI-assisted development tools (e.g., Claude Code, GitHub Copilot, Cursor) and comfort using them to prototype, explore technical concepts, and accelerate product work
• Experience in private equity-backed or high-growth SaaS companies
• Healthcare industry experience, particularly with clinical workflows or enterprise healthcare software, along with knowledge of healthcare data standards, interoperability, and regulatory requirements