Sweed POS

AI Engineer

• 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

Senior ML/AI Engineer

Account Executive

• 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.

• 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.

Implementation Specialist

• Own implementations end-to-end: kickoff → configuration → data migration → training → launch readiness → go-live
• Manage 5–10 concurrent implementations with strong prioritization and clean project tracking
• Lead structured customer calls with executives, operations leads, and frontline teams — driving timelines, setting expectations, and preventing scope creep
• Build and execute implementation plans, checklists, and milestones, while proactively improving them over time
• Anticipate risks early, escalate with context, and create mitigation plans before issues impact go-live
• Troubleshoot configuration, workflow, and launch-readiness issues; clearly document findings and escalate when needed
• Partner cross-functionally with Support, Product, Engineering, Sales, and Account Management for smooth handoffs and issue resolution
• Develop deep expertise in the Sweed platform to drive efficiency and deliver best-in-class client outcomes
• Get increasingly comfortable with datasets and data migrations, including imports/exports, validation, and accuracy checks
• Travel to customer locations as needed - currently 3–4 trips/month — for onsite training, go-lives, and high-touch implementations

Implementation Manager

Product Manager

• Own your product stream end-to-end: from discovery and hypothesis validation through execution, release, and iteration
• Define and maintain a product roadmap aligned with company strategy; keep the backlog prioritized and meaningful
• Run product discovery using LLM tools (Claude, ChatGPT and similar): turn ambiguous problems into structured hypotheses, prototypes, and testable concepts — fast
• Prototype and validate product ideas quickly: turn rough concepts into user flows, mockups, or lightweight demos
• Conduct market and customer research to generate actionable insights that guide development priorities
• Collaborate effectively with design, engineering, sales, customer success, and leadership to align product work with business goals and customer needs.

Product Owner

QA Engineer

• Collaborate closely with the development team, product managers, and designers to understand requirements, user stories, and acceptance criteria.
• Perform manual testing, including functional, regression, and exploratory testing, to validate complex functionality, edge cases, and user scenarios.
• Adapt testing efforts across different platforms, including desktop, web, and mobile, while covering backend, frontend, and end-to-end testing layers.
• Identify, document, and track defects using issue tracking systems, and work closely with the development team to ensure timely resolution.
• Contribute to incident management by identifying and escalating risks, and assisting in mitigation and resolution efforts to maintain product reliability.
• Continuously improve the QA process by proposing and implementing best practices, tools, and methodologies.
• Collaborate with cross-functional teams to ensure alignment on quality goals, testing timelines, and release plans.
• Stay up-to-date with the latest industry trends, emerging technologies, and best practices in software testing and quality assurance.

• Own features end-to-end — from task breakdown to production deploy
• Design and build server-side logic (REST and RPC APIs, services, integrations)
• Implement user interfaces — clean and fast, without over-engineering
• Set up CI/CD, containerisation, and feature-level infrastructure (DevOps basics)
• Participate in code reviews, technical discussions, and task decomposition

Technical Recruiter

• Run full-cycle recruitment across different teams and functions, from intake to offer
• Build strong pipelines through proactive search, sourcing, market mapping, and referrals
• Partner with hiring managers on role setup, search strategy, interview flow, and decision-making
• Conduct recruiter screens and assess candidate fit thoughtfully and consistently
• Keep the process moving with strong ownership of communication, timelines, and follow-ups
• Use hiring data to spot bottlenecks, improve pipeline health, and make better prioritization decisions
• Contribute to hiring process improvements and broader HR and recruiting initiatives
• Support new hires during onboarding, including welcome trainings and regular check-ins throughout probation
• Deliver a strong candidate and new hire experience throughout the process

Senior IT Recruiter

Chief Marketing Officer

• Own Sweed’s positioning and narrative, grounded in our dispensary Operating System, Revenue Optimization Engine and Six Strategic Pillars, ensuring consistency across web, sales, events, and media
• Lead go-to-market for all launches, from strategy and messaging to internal enablement and adoption
• Ensure every new feature has a clear “why now”, a strong value proposition, and full readiness to drive adoption
• Build and deliver sales & CS enablement tools — battlecards, ROI calculators, and feature playbooks
• Drive adoption and retention with lifecycle marketing, onboarding flows, and in-app communications
• Run win/loss interviews and competitive intelligence, turning insights into strategy and sharing them across teams
• Represent Sweed in the market through thought leadership, events, and category storytelling
• Mentor and grow the marketing team into a high-performing GTM engine

VP of Marketing

Analytics Engineer

• Build and maintain analytics data models using dbt - incremental pipelines (merge strategies, hashdiff, SCD Type 1/2) across retail domains (sales, inventory, loyalty, marketing, promotions), with strong emphasis on structure, documentation, and maintainability
• Implement data quality tests and validation logic, ensuring accuracy and trust across reporting layers
• Own conformed dimensions as shared contracts across downstream consumers
• Collaborate with the Data Architect to apply consistent modeling standards and support architecture evolution
• Work with internal teams and sometimes clients to clarify requirements and align on metric logic
• Translate business needs into robust, reusable data models
• Ensure the integrity of client-facing reports, including reliability, freshness, and metric correctness
• Contribute to clear documentation, metric definitions, and data contracts
• Support the continuous improvement of our modern data stack: dbt, Trino, ClickHouse, Airflow, Cube.dev, Metabase

DevOps Engineer

• Collaborate with development and IT teams to design and implement automation solutions for infrastructure provisioning, configuration, and deployment.
• Maintain and improve CI/CD pipelines to ensure efficient and reliable software delivery.
• Propose, plan, and execute projects to improve existing solutions and processes.
• Implement and manage containerization technologies (Docker, Kubernetes) to enhance scalability and resource utilization.
• Troubleshoot and resolve issues related to system and application performance, ensuring high availability.
• Manage and optimize cloud-based infrastructure, including resource provisioning, cost optimization, and security.
• Work on enhancing monitoring and logging solutions to provide insights into system health and performance.
• Collaborate with cross-functional teams to ensure alignment between development and operations.

Backend Engineer

• Database design - MS SQL and PostgreSQL
• Database development - includes writing SQL queries, stored procedures, triggers, and functions
• Data integration - working with data from various sources, such as external systems, APIs, or file imports, and integrating them into the database. Includes ETL
• Database optimization
• Database security and access management
• Maintenance and troubleshooting
• Writing documentation

Database Developer

Data Engineer

• Design, build, and maintain data pipelines using Airflow, and Trino to ingest and process data from multiple systems (databases, APIs, event streams, 3rd-party integrations).
• Improve data quality and reliability – implement monitoring, validation, and alerting for pipelines to ensure accuracy and consistency.
• Develop and maintain the platform – deploy, monitor and maintain services in our aws cloud
• Collaborate with cross-functional teams – work closely with Product Analytics, Data Architecture, and Engineering teams to define data requirements and deliver them effectively.
• Optimize performance and cost – fine-tune queries, pipelines, and storage for speed and efficiency.
• Document data assets – maintain clear documentation for data sources, pipelines, and models.