Top Artificial Intelligence Product Manager Jobs

Serve as a clinical product specialist bridging real-world clinical practice and product functionality for InterSystems EHR. Influence product roadmaps, define workflows and requirements, collaborate with cross-functional teams, engage customers to translate clinical needs into product features, and represent the product externally.

The Staff IT Product Manager will oversee Sales systems, ensuring SOX compliance, managing integration with Marketing technologies, and optimizing business processes for Sales and Finance operations.

The Deployment Lead will oversee product strategy to technical execution, ensuring successful delivery of ASI's products for clients in aerospace and aviation.

Lead strategy and roadmap to build a personalized growth engine using AI and marketing technology. Define requirements across data infrastructure, multi-channel outreach, app surfaces, creative personalization, and incentive systems. Run experimentation, set KPIs, drive cross-vertical adoption, and align engineering, design, data, and marketing to scale repeatable user habits and retention.

Manage technology solutions for commercial pharma clients, lead project delivery, and develop client relationships while driving technology trends and innovation.

The Staff Product Manager will define and execute the product vision and strategy for Stacks and project context experiences, collaborating cross-functionally, and helping users navigate complex workflows and systems.

Lead the strategy and execution for Yext's messaging and email marketing products, focusing on user engagement and leveraging AI for enhanced automation.

As Senior Product Manager for AI and Automation at PagerDuty, you will strategize and execute product development across automation and cloud services, focusing on autonomous SRE agents' functionalities and integration with AI/ML.

The Product Manager will lead the Mission Agents team, translating user needs into actionable product direction while collaborating with engineers and stakeholders to deliver impactful solutions.

Lead customer launches, manage a team of engineers, define success metrics, and drive implementation excellence for AI-powered communication solutions.