Top Artificial Intelligence Product Manager Jobs in Boston, MA

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

As Senior Product Manager, you'll lead Datadog's AWS Serverless observability products, drive strategy, collaborate with teams, and enhance developer experience.

As a Senior Associate in Product Management, you'll lead stakeholder engagement, manage product backlogs, plan releases, and analyze market trends to enhance products.

Lead end-to-end product development for IAM and RBAC features, define roadmaps, translate business needs into technical specs, set KPIs, ensure security and compliance, engage customers and stakeholders, and collaborate with engineering, design, and support to launch and iterate on identity and access products.

The Senior Product Manager leads generative AI initiatives, develops product roadmaps, collaborates with cross-functional teams, and identifies market opportunities in finance.

Responsible for the product strategy and delivery of advisor-facing AI products, ensuring alignment with user needs and firm goals through deep customer understanding and cross-functional collaboration.

The Security Product Manager will define and drive the product strategy for security features, ensuring safe integration with data management, cloud, and AI technologies while collaborating across engineering and product teams.

The Manager of Customer Enablement & Learning is responsible for leading and evolving learning systems, executing hands-on training, collaborating cross-functionally, and shaping the enablement strategy to drive product adoption and customer success.

The Principal Product Manager will lead the strategy and roadmap for the Computer Vision Platform, ensuring robust AI and machine learning integration, and driving internal collaboration, product definition, and success metrics.

The Sr Manager in AI Product Management drives the identification and adoption of AI solutions across business processes, partnering with various teams to improve workflows and ensure efficient automation while maintaining compliance and governance.