Senior Manager, Marketing Activation — Curaleaf

Company: Curaleaf

About the Company: Curaleaf is one of the largest vertically integrated cannabis companies in the US, operating dispensaries, cultivation, processing, and consumer brands across 20+ states. Publicly traded (CURLF). A significant employer in the regulated cannabis industry.

Job Category: Marketing / Consumer / Cannabis / Brand Activation

Contract Type: Full-Time, Permanent

Location: Remote — New York area preferred, but remote USA considered

Salary: $70,000–$80,000 base (per RemoteOK listing) — note: manager-level marketing roles often include bonuses; confirm full comp on application

Application Link: https://remoteok.com/remote-marketing-jobs (search "Marketing Manager Activation Curaleaf")

Posted: Within the last 7 days on RemoteOK

Job Description: You'll lead marketing activation campaigns for Curaleaf's consumer brands — developing and executing go-to-market programs that drive brand awareness, retail activation, and product trial across Curaleaf's national dispensary footprint.

Key Responsibilities:

• Plan and execute integrated marketing activation campaigns across Curaleaf's consumer brands
• Collaborate with the retail, creative, and digital marketing teams on campaign development
• Manage campaign budgets, timelines, and agency relationships
• Track and report on campaign performance and optimize in-market activities
• Support product launch activations and promotional events across the dispensary network
• Work with local market teams on region-specific activation needs

Skills Required: Integrated marketing campaign management, consumer brand activation, retail marketing, budget management, agency management, performance tracking and analytics.

Requirements:

• Senior marketing or marketing manager experience in CPG, retail, or consumer brands
• Experience with regulated industry marketing (cannabis, alcohol, or pharma a plus)
• Strong project management and cross-functional collaboration skills
• Data-driven approach to campaign performance and optimization