This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role is responsible for overseeing and optimizing the company’s presence across multiple e-commerce marketplaces, with a primary focus on Amazon. You will manage listings, catalog integrity, storefronts, and creative assets while ensuring brand consistency and operational excellence. The position requires a highly organized, detail-oriented individual who can manage multiple projects simultaneously, collaborate cross-functionally, and implement strategies that improve performance and customer experience. Success in this role involves balancing day-to-day marketplace operations with strategic initiatives to enhance visibility, conversion rates, and revenue growth. This is a hands-on position with significant impact on the company’s online retail footprint in a fast-paced, remote-friendly environment. - Create, edit, and optimize product listings including titles, bullet points, descriptions, backend keywords, and A+ content modules. - Manage and continuously improve marketplace storefronts, ensuring consistency and alignment with brand guidelines. - Conduct A/B tests to improve conversion rates, click-through rates, and overall marketplace performance. - Collaborate with creative, marketing, and operations teams to support asset development and implementation. - Monitor and resolve catalog issues via Seller Support, Brand Registry, or other marketplace channels. - Oversee brand protection, including trademark enforcement, unauthorized reseller monitoring, and competitive listings. - Produce regular performance reports on KPIs such as catalog health, storefront metrics, and marketplace trends. - Maintain exceptional accuracy and attention to detail in all product data, listings, and creative assets. Qualifications - 5+ years of experience managing Amazon Seller Central accounts. - Familiarity with additional marketplaces such as Walmart, eBay, and TikTok Shop. - Strong proficiency in Excel or Google Sheets and comfort with data analysis. - Experience creating Amazon A+ Content and managing Brand Storefronts. - Knowledge of marketplace SEO, keyword research, and conversion optimization strategies. - Strong written communication skills for consumer-facing copy. - Ability to multitask, manage multiple concurrent projects, and work cross-functionally. - Experience with third-party tools such as Helium 10, Jungle Scout, or Brand Registry services is a plus. - Highly detail-oriented with a commitment to accuracy in content, data, and asset management. Benefits - Base salary range: $125,000—$135,000 USD. - 20 accrued vacation days per year, 40 hours of paid sick leave, 3 paid mental health days, and 9 paid holidays. - 401(k) plan with company match. - Comprehensive medical, dental, and vision coverage, plus HSA/FSA options. - Life insurance, AD&D, long-term disability, and optional accident/critical illness coverage. - Remote-first work environment with monthly utility allowance and home office support. - Employee discounts, wellness programs, parental leave, and paid volunteer day. - Professional growth opportunities with access to development resources and career advancement initiatives.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role is pivotal in designing, implementing, and deploying enterprise-level data management, analytics, and AI solutions. You will leverage cutting-edge technologies, including Microsoft Fabric and AI Foundry, to enhance our data capabilities. Expect to work collaboratively across various teams to ensure seamless delivery of robust and compliant solutions. Your expertise will not only contribute to our projects but also drive significant impacts in our operational effectiveness and innovation. If you're passionate about data and AI, this is your chance to make a difference in a remote-setting environment. - Design and implement enterprise-scale data management, analytics, and AI capabilities using Microsoft technologies. - Collaborate with teams to define data and AI roadmaps aligning with business objectives. - Develop reference architectures and patterns for data services and AI applications. - Shape data service standards and contribute to project planning and execution. - Provide technical leadership and mentorship to teams. - Coordinate integration with third-party systems and support vendor evaluations. Qualifications - 7+ years of experience in data engineering, analytics engineering, or AI application development. - Deep understanding of data modeling frameworks like Kimbal and Lakehouse Architecture. - Expertise in Microsoft Fabric and AI Foundry technologies. - Proficiency in SQL, Python, and KQL with experience in performance tuning. - Ability to implement retrieval-augmented generation pipelines and secure data applications. - Excellent communication skills to explain complex technical topics to diverse audiences. Benefits - Competitive salary range of $140,000 to $170,000 annually. - Work remotely with flexible hours. - Opportunities for professional development and training. - Collaborative and innovative work environment. - Access to the latest tools and technologies in the field.

• Impartir sesiones técnicas teórico-prácticas y resolver dudas técnicas en tiempo real. • Preparar y desarrollar material técnico de capacitación. • Diseñar ejercicios prácticos y evaluaciones técnicas. • Supervisar y orientar el proyecto final de los participantes. • Brindar acompañamiento técnico y soporte durante el programa. • Evaluar el desempeño y progreso de los participantes. • Promover buenas prácticas de Data Engineering. • Simular escenarios reales de proyectos para fortalecer el aprendizaje práctico.

• Responsible for expanding and optimizing our data and data pipeline architecture. • Optimizing data flow and collection for cross functional teams. • Support our product owners, product analysts, data analysts and data scientists on data initiatives. • Ensure optimal data delivery architecture is consistent throughout ongoing work. • Engage with business stakeholders to establish clear needs and links to solutions, including setting up prototypes, and involving multiple parties in design sessions. • Create data collection, extraction, and transformation frameworks for structured and unstructured data. • Develop and maintain data infrastructure systems (e.g. data warehouses) including data access points. • Prepare and manipulate data using a variety of data integration and data pipeline tools including, but not limited to, Talend, SQL, Snowflake, Kafka, Azure Data Factory. • Create efficient load processes including logging and handling of exceptions, notification to support, and overall visibility operations. • Organize data into formats and structures that optimize reuse and efficient delivery to businesses and analytics teams and system applications. • Integrate data across data lake, data warehouse and systems applications to ensure the consistent delivery of information across the enterprise. • Accountable for efficient architecture and systems design. • Build and evolve the data service layer and engages the team to bring together components for a best-in-class customer offering.