Top Cannabis Jobs in Boston, MA

As an Account Executive at Seed Technology, you'll manage the full sales cycle, build your pipeline, and close deals with dispensary operators and regional groups, focusing on business outcomes and expanding accounts post-sale.

The Account Executive will grow LeafLink's banking solutions, build relationships with cannabis businesses, and maximize revenue while addressing regulatory challenges.

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

The Accountant II manages general accounting operations, including transaction verification, account reconciliations, month-end closing, and audit support while cultivating internal controls and assisting in process improvements.

The Day Program Case Manager coordinates services for individuals with developmental disabilities, fostering relationships and ensuring support meets their needs while also advocating for their goals.

The Business Development Representative will prospect and generate leads, build strategic relationships, and grow commercial business through professional networking and outreach efforts.

The Group Manager of Product will lead product lines at Weedmaps, focusing on innovative solutions and team mentorship while driving revenue and user engagement in the cannabis marketplace.

Lead the technical direction of the CRM ecosystem by managing integrations, migrations, and DevOps pipelines while ensuring data integrity and compliance.

The Staff Engineer will build full-stack solutions, design scalable features, manage the development lifecycle, and mentor team members.

The Vice President of Marketing will develop and execute marketing strategies, lead the marketing team, manage budgets, analyze market trends, and build relationships with stakeholders to enhance brand awareness and achieve business goals.

The Senior Analytics Engineer will design and maintain analytics architecture, data models, and transformation pipelines to provide accurate insights. They will ensure reliability and quality of analytics data and collaborate across teams to support AI and machine learning initiatives.