Principal Product Manager, AI Products

Cornerstone OnDemand is seeking a Principal Product Manager for AI Products to lead the development of AI-powered capabilities across a key product area. This role focuses on building intelligent, agent-driven experiences and requires collaboration with engineering, data science, and design teams to deliver measurable business impact.

Responsibilities:

• Own a defined AI product area or feature set from conception to launch, including strategy, requirements, experimentation, and scale
• Lead 0→1 development of AI-powered capabilities, rapidly prototyping, validating, and iterating on new use cases
• Design and build AI agents and intelligent automation features that streamline workflows and augment user decision-making
• Partner with engineering and data science teams to define system architecture, model inputs/outputs, evaluation frameworks, and feedback loops
• Define and track product and AI performance metrics including adoption, engagement, activation, retention, model effectiveness, and business impact
• Build AI-powered growth loops through personalization, recommendations, automation, and intelligent nudges
• Leverage experimentation frameworks (A/B testing, phased rollouts, model iteration) to continuously optimize AI feature performance
• Analyze market trends, competitive AI capabilities, and emerging technologies to identify differentiation opportunities
• Ensure responsible AI practices including privacy, security, explainability, and compliance considerations
• Act as product owner across agile engineering teams to deliver scalable, reliable AI-driven experiences

Requirements:

• 7+ years of Product Management experience in SaaS or platform environments
• Experience leading 0→1 product initiatives and driving them from concept to adoption
• Proven experience building or launching AI/ML-powered products, including generative AI, AI agents, predictive systems, or personalization engines
• Strong technical fluency in data systems, AI model concepts, experimentation frameworks, and product analytics
• Track record of driving measurable growth outcomes (activation, engagement, retention, monetization)
• Experience partnering closely with engineering and data science teams on model-driven systems
• Ability to translate complex AI capabilities into intuitive, high-value customer experiences
• Excellent communication and stakeholder influence skills in cross-functional environments
• Experience building AI agents within enterprise SaaS products
• Background in learning, talent development, HR technology, or analytics-driven platforms
• Prior knowledge of Cornerstone is highly helpful