Jobs at Sweed POS

The DevOps Engineer will enhance infrastructure, implement automation, optimize deployment pipelines, and manage cloud-based resources for a cannabis retail platform.

As a Product Owner, you will lead product streams, define roadmaps, conduct market research, and collaborate across teams to align product development with business goals.

The Implementation Manager will oversee end-to-end customer implementations in a regulated environment, ensuring timely go-lives and customer readiness while managing multiple concurrent projects.

Design, develop, and refactor backend services in a .NET microservices ecosystem. Build and improve customer-facing APIs, troubleshoot production performance, participate in architecture decisions, and collaborate across product teams to improve reliability, observability, and scalability.

Full-cycle B2B Account Executive responsible for generating pipeline, running ROI-focused demos, negotiating and closing bundled SaaS contracts for cannabis dispensaries in an assigned territory. Manage CRM hygiene and forecasts in HubSpot, partner cross-functionally, capture customer feedback, and meet ARR and onboarding targets with 25-50% regional travel.

Manage a portfolio of cannabis retail clients to drive account health, product adoption, renewals, and expansion. Proactively monitor usage and risk, run QBRs, execute save playbooks, coordinate cross-functionally, and meet KPIs tied to retention and net revenue.

The Account Executive will manage the sales cycle for dispensary locations, focusing on pipeline generation, deal execution, and cross-functional collaboration to meet sales targets related to cannabis retail operations.

Join a remote product team to build and scale an enterprise-grade cannabis retail platform. Implement and maintain React/TypeScript front-end features, improve architecture, integrate admin and client apps, refactor legacy code, contribute to shared UI libraries, review PRs, mentor teammates, and use AI-assisted tools responsibly to improve DX, performance, accessibility, and test coverage.

The AI Engineer role involves full-cycle engineering, using AI tools to develop features, design server-side logic, implement UI, and manage infrastructure. Candidates should have backend, frontend, and DevOps experience, with a strong understanding of AI engineering concepts.