Sweed POS

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.

Marketing

• Maintain and evolve our corporate website built in Webflow, assembling pages, sections, and animations based on existing brand guidelines
• Create visuals for social media and blog content
• Design marketing materials, including infographics for external publications
• Develop and manage the in-product announcement system (feature banners, release communications, update visuals)
• Prepare presentations for board meetings, executive reviews, and client discussions
• Produce product walkthrough videos explaining how features work
• Create marketing videos showcasing new features and product capabilities
• Design print materials for exhibitions and industry events
• Create visual assets for enterprise email campaigns
• Design graphics and icons for eCommerce theming and client-facing storefront customization

Brand & Marketing Designer

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: drive timelines, set expectations, prevent scope creep, and keep stakeholders aligned
• 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
• Partner cross-functionally with Support, Product, Engineering, Sales, and Account Management for smooth handoffs and issue resolution
• Become increasingly comfortable with datasets and migrations (imports/exports, validation, accuracy checks)
• Travel to customer locations as needed (often 3–4 trips/month currently) for onsite training, go-lives, and high-touch implementations

Implementation Manager

Product Manager

• As a Product Owner, you will start with understanding the business goals and processes, explore competitors, review backlog and contribute to the features delivery processes. You'll also closely collaborate with the other teams and work together on the cross-team projects.
• Business Analysis: Elicitate requirements, propose solutions, describe requirements to the dev team, prepare acceptance criteria.
• Team Building & Leadership: Hire, assemble, and guide a cross-functional team of developers, QAs, and other specialists. Collaboration with the team lead to ensure synergy and productivity within the team.
• Product Strategy & Execution: Participate in defining the roadmap for our functionality, align it with business goals, and ensure timely delivery of new features.
• Collaboration with Stakeholders: Work closely with internal and external stakeholders to understand their needs and translate them into product requirements.
• Resource Allocation: Manage resources effectively, including requesting additional budget and purchasing necessary licenses, to ensure the success of the product.

Product Owner

Data Scientist

• Lead & scale Product Analytics
• Lead and mentor a team of Product Analysts, helping them grow technically and strategically
• Own the Product Analytics roadmap, priorities, and delivery
• Establish best practices for product analytics, experimentation, and decision-making
• Ensure high-quality, actionable insights that influence product and business outcomes
• Partner closely with Product Managers to define success metrics, KPIs, and north-star metrics
• Translate business and product questions into analytical frameworks and insights
• Proactively identify opportunities, risks, and areas for product improvement
• Support discovery, experimentation, and post-launch analysis
• Act as the primary analytics partner for Product and a close collaborator with Data and ML teams
• Align analytics efforts with the broader AI strategy and company goals
• Work with Data Engineering to define data requirements, tracking plans, and data models
• Play a key role in shaping the analytics foundation for SweedAI
• Help define how data and insights power AI-driven product capabilities
• Collaborate with ML engineers on feature definition, evaluation metrics, and model monitoring
• Ensure analytics is embedded into AI-powered workflows and decision systems

Data Engineer

Brand & Marketing Designer

Implementation Manager

Product Owner

Product Analytics Lead