Top Artificial Intelligence Product Manager Jobs in Boston, MA

The Senior Technical Product Manager II will oversee the execution of Security Products workstreams, focusing on customer needs, engineering collaboration, and communication of product value and updates.

The Product Owner II drives product strategy and backlog management by collaborating with cross-functional teams, focusing on enhancing underwriting processes through analytics and AI solutions, ensuring alignment and delivering business value.

Lead product strategy and roadmap for interoperability and integration products. Engage customers and partners, define capabilities, prioritize requirements, and drive delivery, adoption, and collateral across engineering, cloud, sales, and marketing for enterprise, life-critical applications.

The Technical Product Owner will drive software and product innovation at PwC, leading cross-functional teams, managing projects, and ensuring quality software solutions that meet client needs.

The AI Engagement Manager will lead strategic relationships with clients to implement AI solutions, driving business transformation and optimizing operations in the housing sector.

Own the Snyk Studio product strategy for agentic security, drive integrations with developer tools, define guardrails and governance for AI agents, engage customers, track metrics, and collaborate cross-functionally to deliver scalable security solutions.

Lead multiple oncology product teams through clinical development phases, ensuring integration of end-to-end product strategy, risk mitigation, and delivery of milestones while collaborating with internal and external stakeholders.

The Senior Product Manager for Access Requests will lead product strategy, collaborate with engineering, define user requirements, and oversee product development cycles, focusing on AI enhancements.

The Product Manager II will lead cash product development, collaborating with cross-functional teams, launching new products, and ensuring a best-in-class user experience while focusing on compliance and risk mitigation.

Lead Machine Learning Operations initiatives by developing retail-specific models and a user-friendly Model Workbench for marketers. Ensure product development aligns with customer needs.