Sweed POS

• Prospect and qualify new dispensary accounts via outbound activity, events, and referrals • Maintain ≥4x quota pipeline in HubSpot with clear next steps for every prospect • Consistently generate new opportunities while advancing active deals • Create territory plans to target high-potential market operators • Cultivate relationships with key cannabis retail stakeholders • Lead discovery, ROI-focused demos, and complex negotiations with decision-makers • Close bundled SaaS contracts covering POS, payments, and e-commerce • Build business cases proving operational and financial value • Position Sweed as a premium, outcome-driven solution • Navigate multi-stakeholder buying processes across retail and executive teams • Manage accurate deal stages and action plans in HubSpot • Submit weekly forecasts with commit, best-case, and upside projections • Ensure high CRM hygiene and consistent forecast accuracy • Monitor funnel metrics and overall pipeline health • Partner with Marketing, Product, and Success teams on campaigns and strategic deals • Share market insights, customer feedback, and competitive intelligence • Support regional growth and account expansion initiatives • Capture trends and feedback to influence product and GTM strategy • Refine sales playbooks and value-selling frameworks

• Monitor the health of every account in your book • Identify early warning signals and act before issues escalate • Own save playbook execution when accounts show signs of risk • Maintain portfolio health as a standing responsibility • Escalate accounts that need Director or executive involvement • Help clients get real, measurable value from the platform • Understand each client's contracted scope and where adoption gaps exist • Manage the full renewal cycle from early-stage signaling through contract execution • Identify expansion opportunities — additional locations, modules, and integrations • Build and maintain executive-level relationships at your largest accounts • Work closely with Implementation, Technical Support, Customer Marketing, and Product teams

• Participate in product discussions, planning, and technical design. • Build and evolve integration flows between admin and client-facing applications. • Refactor legacy code and improve architecture incrementally. • Review pull/merge requests and mentor where helpful. • Contribute to shared UI/core libraries used across portal and ECOM apps. • Drive the evolution of our public UI component library across client-facing channels. • Use AI tools effectively - write good prompts, build skills/agents/automations, and keep humans in the loop on quality.

• Own full-cycle recruitment from intake to offer across technical and business roles. • Build strong candidate pipelines through sourcing, referrals, networking, and market mapping. • Partner with hiring managers to define hiring strategies, interview processes, and candidate profiles. • Guide hiring decisions with market insights, structured assessments, and thoughtful recommendations. • Keep hiring moving by proactively solving bottlenecks and managing stakeholder communication. • Improve recruiting processes, candidate experience, and onboarding. • Use hiring metrics and market insights to challenge assumptions, prioritize effectively, and improve the overall hiring process. • Explore and implement AI tools and automation to make recruiting smarter and more efficient. • Contribute to hiring process improvements and broader HR and recruiting initiatives

• Design and develop backend services within our microservices ecosystem. • Build new services for subscriptions and loyalty. • Refactor and gradually extract business logic from the monolith into dedicated services. • Design interfaces for exchanging financial data between engineering teams. • Participate in architectural discussions and technical decision-making. • Improve system performance, maintainability, and transparency. • Review code and promote engineering best practices. • Collaborate closely with engineers across multiple product teams. • Gradually take ownership of leadership within the team.

• Design and develop backend services within our microservices ecosystem. • Build and improve APIs used by internal and external customers. • Participate in architectural discussions and technical decision-making. • Refactor and optimize existing services. • Improve performance, reliability, and maintainability. • Review code and share engineering best practices. • Collaborate with engineers across multiple product teams.

• 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.

• Prospect, sequence, and qualify 12+ new dispensary accounts each week through targeted outbound, regional events, and partner referrals. • Build and maintain ≥ 4× quota pipeline coverage in HubSpot, ensuring every prospect has a documented next step. • Lead discovery, ROI-focused demos, and multi-threaded negotiations for SMB opportunities, tailoring value props to each stakeholder. • Structure and close bundled contracts (POS, payments, text-messaging) in PandaDoc, maximizing ACV while protecting margin and compliance. • Keep deal stages, close dates, and action plans current in HubSpot; submit a weekly commit forecast with clear upside, best-case, and commit numbers. • Achieve ≥ 95 % CRM hygiene and deliver consistent 30-60-90-day forecast accuracy for executive reporting. • Partner with Marketing, Product, and Customer Success on regional campaigns, pilots, and upsell plays, sharing competitive intel and win-loss insights. • Co-develop account strategies that lift cross-sell rates and expansion ARR, hitting joint KPIs for adoption and retention. • Capture product feedback, compliance hurdles, and market trends in a structured VOC log; present findings in quarterly reviews to influence roadmap. • Contribute to iterative refinement of sales playbooks, demo scripts, and onboarding materials, ensuring best practices scale with team growth.

• Prospect, sequence, and qualify 12+ new dispensary accounts each week through targeted outbound, regional events, and partner referrals. • Build and maintain ≥ 4× quota pipeline coverage in HubSpot, ensuring every prospect has a documented next step. • Lead discovery, ROI-focused demos, and multi-threaded negotiations for SMB opportunities, tailoring value props to each stakeholder. • Structure and close bundled contracts in PandaDoc, maximizing ACV while protecting margin and compliance. • Keep deal stages, close dates, and action plans current in HubSpot; submit a weekly commit forecast with clear upside, best-case, and commit numbers. • Achieve ≥ 95 % CRM hygiene and deliver consistent 30-60-90-day forecast accuracy for executive reporting. • Partner with Marketing, Product, and Customer Success on regional campaigns, pilots, and upsell plays, sharing competitive intel and win-loss insights. • Co-develop account strategies that lift cross-sell rates and expansion ARR, hitting joint KPIs for adoption and retention. • Capture product feedback, compliance hurdles, and market trends in a structured VOC log; present findings in quarterly reviews to influence roadmap. • Contribute to iterative refinement of sales playbooks, demo scripts, and onboarding materials, ensuring best practices scale with team growth.

• Build and productionize AI-powered product features across eCommerce, marketing, analytics, and customer workflows • Design and implement agentic AI systems and LLM-powered workflows • Develop, train, evaluate, and deploy machine learning models into production environments • Work across the full ML lifecycle: experimentation, feature engineering, model evaluation, deployment, monitoring, and iteration • Collaborate closely with product managers, backend engineers, analysts, and DevOps teams to bring AI systems into production • Design scalable APIs and inference services for AI-driven functionality • Improve and evolve our ML infrastructure, tooling, and AI-native development workflows • Rapidly prototype ideas, validate hypotheses, and iterate based on real-world feedback and business impact • Contribute to experimentation frameworks, A/B testing approaches, and production monitoring practices • Stay current with the latest developments in LLMs, agentic systems, generative AI, and applied machine learning