
11 - 50 employees
🛒 Retail
🛍️ eCommerce
🤝 B2B
Retail • eCommerce • B2B
Sweed POS is a comprehensive platform designed to streamline cannabis retail operations. It offers a wide range of integrated tools including point of sale systems, marketing and loyalty programs, inventory management, and eCommerce solutions tailored specifically for the cannabis industry. With features such as advanced customer management, integrated payments, and multi-location logistics, Sweed POS empowers cannabis retailers to enhance their brand presence and operational efficiency. The platform is designed to seamlessly manage retail operations without the need for third-party systems, providing a holistic and intuitive experience for cannabis businesses.
🔥 3 minutes ago
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11 - 50 employees
🛒 Retail
🛍️ eCommerce
🤝 B2B
Retail • eCommerce • B2B
Sweed POS is a comprehensive platform designed to streamline cannabis retail operations. It offers a wide range of integrated tools including point of sale systems, marketing and loyalty programs, inventory management, and eCommerce solutions tailored specifically for the cannabis industry. With features such as advanced customer management, integrated payments, and multi-location logistics, Sweed POS empowers cannabis retailers to enhance their brand presence and operational efficiency. The platform is designed to seamlessly manage retail operations without the need for third-party systems, providing a holistic and intuitive experience for cannabis businesses.
• Design and build the CDP from scratch: data ingestion, identity resolution, unified profile, activation. • Establish a multi-tenant architecture with data isolation by client and by state. • Build the AI enrichment layer: segmentation, predictive models (CLV, churn, propensity, next-best-product), and LLM-based preference enrichment. • Ensure privacy-by-design and compliance in a regulated vertical. • Work cross-functionally with product, engineering, marketing, and clients.
• Experience building a CDP from scratch (0→1) or scaling one substantially - not just operating someone else's solution. • Identity resolution: deterministic and probabilistic profile matching. • Data engineering: ingestion pipelines, streaming, warehouse/lakehouse, reverse ETL. • ML for customer data: segmentation, propensity/churn/CLV, recommendation approaches; understanding of how to embed LLM enrichment. • Experience in building preference capturing engines • Privacy/compliance: GDPR/CCPA, consent management, data minimization. • Multi-tenant SaaS architecture and data isolation. • Understanding of the martech ecosystem and channel activation.
• 100% remote – We’re a remote-first company, no offices needed! • Flexible working hours – Core team time: 09:00-15:00 GMT (flexible per team) • 20 paid vacation days per year • 12 holidays per year • 3 sick leave days • Medical insurance after probation • Equipment reimbursement (laptops, monitors, etc.)
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