Top Senior Level Product Manager Jobs in Sacramento, CA

The Director of Experimentation will lead the development and execution of the company's experimentation framework, facilitating product innovation and enhancing customer experience through data-driven decisions and effective communication across teams.

Lead strategy and product delivery for the Predictive Procurement Platform. Engage customers, manage product roadmaps, and collaborate across teams to enhance user experiences and drive efficiency.

The Senior Product Engineer will build features, launch experiments, and enhance the engineering culture, focused on growth and collaboration in a fast-paced environment.

The Product Manager will lead the development of store-level analytics products, collaborate with teams, and engage clients to refine features.

The Senior Product Manager will lead product initiatives, define strategy, manage teams, and drive product innovation while measuring success against KPIs.

Wave is seeking a Product Manager to lead cross-functional teams, define product goals, drive user research, and manage product life cycle. The role involves understanding user needs and prioritizing product growth based on feedback.

The Senior Director, Product Owner will manage the backlog for the Test Management & Pre-administration Setup application, ensuring high-quality feature delivery and effective communication with stakeholders.

The Group Product Manager will lead product strategies for data-focused solutions, managing teams, defining roadmaps, and collaborating across departments to enhance data-driven initiatives.

The Senior Product Manager will drive product strategy, engage with customers, collaborate on UX, and lead cross-functional teams to deliver innovative solutions.

As a Senior Product Manager for Data Integrations, you will lead data ingestion strategies, ensuring seamless integration and usability of school and district data with MagicSchool's AI tools. Responsibilities include prioritizing system integrations, partnering with engineering, and monitoring data reliability metrics.