Top Remote Senior Level Product Manager Jobs in Boston, MA

The Principal Solution Architect drives technical integration solutions between Dynatrace and ServiceNow, collaborating with various teams to optimize features and oversee implementation.

The role involves creating digital experiences, translating marketing goals, collaborating across teams, and leveraging analytics for strategy execution. The manager will oversee the product roadmap and design cross-channel strategies to enhance user experience.

Lead the Adoption and Value Realization team to enhance user engagement and ensure clear value realization from AcuityMD’s platform. Responsibilities include collaborating with teams, improving engagement funnels, driving technical excellence, and mentoring engineers.

As a Senior Product Manager at MongoDB, you'll lead a team to enhance the developer experience by defining product strategies, optimizing conversion moments, and driving growth initiatives through data-informed decisions.

The Principal Product Manager will drive strategic initiatives, collaborate with stakeholders, and enhance systems for Sales and Marketing processes at Toast.

The Senior Product Manager, AI CSM will lead the transformation of Customer Success through AI, defining strategy and scaling intelligent support for Toast's customers.

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 Senior Product Manager at Sortly will oversee AI-powered Inventory Management product features, defining roadmaps, collaborating with cross-functional teams, and driving measurable business results through intelligent product capabilities.

Design and develop haircare products, collaborating with cross-functional teams, mentoring junior engineers, and applying engineering principles to solve complex problems.

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.