Top Cannabis Jobs in San Diego, CA

The Analytics Engineer will manage BI modeling, create dashboards, ensure data quality, and collaborate with customers and teams for reporting needs.

The Content Marketing Manager will execute content strategies, create engaging content, collaborate across teams, and optimize performance in the cannabis industry.

As a Facilities Coordinator, you'll manage client communication, coordinate with vendors, resolve issues, and conduct training to enhance client engagement.

The Staff Product Manager at Nabis will define and implement the brand experience strategy, manage product outcomes, and drive cross-organization initiatives with a focus on user experience and software integration.

The Head of Data will lead the data team, execute complex data projects, establish best practices, and define a strategic vision for data capabilities.

The Business Insights Manager will lead the delivery of insights across various business functions, manage a team, and ensure data-driven decision-making by translating analytics into actionable insights.

The Data Management Coordinator ensures data accuracy and organization, supports reporting, and maintains data systems while collaborating across various departments.

The Staff Product Manager for Community will lead greenfield projects, define customer experience, manage product roadmap, and coordinate cross-functional teams to enhance social interactions.

The Assistant Controller oversees financial reporting processes, intercompany accounting, consolidations, and general ledger management, ensuring compliance and efficiency while partnering with various departments.

The Global Head of Creative at PAX drives brand strategy and creative campaigns across all consumer touchpoints, managing both internal teams and external partners to enhance brand visibility and engagement.

The Marketing Operations & Growth Manager will drive pipeline growth through marketing automation, analytics, and cross-departmental collaboration, focusing on conversion rate optimization and data-driven strategies.