Maropost

Data Engineer

• Design and build scalable data engineer services that power analytics, reporting, machine learning, and AI workloads across Maropost products.
• Build and maintain reliable data ingestion pipelines using CDC and event-driven architectures.
• Develop and evolve our centralized analytics warehouse, ensuring high performance, scalability, and maintainability.
• Design and implement data models, materialized views, and aggregation strategies to support product analytics and business reporting.
• Build supporting APIs and services that expose analytics and reporting capabilities to internal and external consumers.
• Define and implement multi-tenant security controls, data governance standards, and access management policies.
• Monitor data pipeline health, data freshness, ingestion lag, and overall system reliability.
• Contribute to technical specifications and actively participate in architecture and design discussions.
• Improve developer productivity through automation, tooling, observability, and operational excellence.
• Strengthen test coverage and engineering practices to ensure reliable and maintainable systems.

Senior Software Engineer, Data Engineer

Product Manager

• Define and execute the vision, roadmap, and operating model for Da Vinci in partnership with the VP of Product.
• Identify and prioritize AI opportunities across Commerce Cloud, Retail Cloud, Merchandising Cloud, Marketing Cloud, Service Cloud, and the Unified Platform.
• Drive AI strategies across Assistive AI, Agentic AI, Automation, Personalization, Analytics, and Decision Intelligence while building Maropost's long-term AI platform and competitive differentiation.
• Lead strategic AI initiatives and a growing team while enabling and influencing product teams through shared frameworks, best practices, and scalable AI capabilities.
• Build strong cross-functional partnerships and drive AI adoption through influence as much as authority.
• Identify customer pain points and opportunities to deliver AI-powered products and experiences with measurable business outcomes.
• Partner with Design, Engineering, Data Science, and Architecture teams to translate emerging AI technologies into practical, scalable solutions and own the product lifecycle from discovery to launch and adoption.
• Establish responsible AI practices and governance standards covering data privacy, compliance, model management, experimentation, monitoring, AI safety, and continuous improvement.
• Drive AI adoption across Product, Engineering, Support, Finance, Marketing, Sales, and Customer Success.
• Evaluate AI platforms and tools, define build-versus-buy strategies, and establish frameworks to measure productivity, efficiency, and business impact.
• Stay ahead of emerging AI technologies, foundation models, agent frameworks, automation platforms, and industry trends.
• Continuously benchmark competitors, translate market opportunities into product investments, and define KPIs to measure adoption, customer impact, operational efficiency, and ROI.
• Present roadmaps, business outcomes, and strategic recommendations to executive leadership.

Senior Product Manager – AI

• Define and execute product strategy aligned with business goals and customer needs.
• Build and manage the product roadmap, balancing innovation, modernization, customer value, and commercial outcomes.
• Identify growth opportunities, strategic investments, and competitive differentiators through customer insights, market research, and analytics.
• Own product features and capabilities across retail operations, including Point of Sale (POS), Inventory Management, Purchasing & Supplier Management, Customer Management, Loyalty & Promotions, Omnichannel Retail, Payments, Reporting & Analytics, and Integrations.
• Drive product discovery, requirements gathering, validation, launch planning, and adoption measurement to ensure products solve meaningful customer problems.
• Develop a deep understanding of retailer workflows and operational challenges through customer interviews, workshops, usability sessions, and feedback reviews, translating insights into impactful product initiatives.
• Build strong relationships with merchants, partners, and internal stakeholders to ensure alignment and successful product outcomes.
• Create product requirements, user stories, acceptance criteria, and success metrics.
• Collaborate closely with Engineering and Design teams throughout the product lifecycle.
• Participate in sprint planning, backlog prioritization, and release management to ensure timely delivery and successful product launches.
• Help drive Retail Express modernization initiatives, including cloud migration, platform scalability, API enablement, and ecosystem expansion.
• Partner with architecture and engineering teams to balance technical investments with customer-facing innovation.
• Contribute to Maropost's broader Unified Platform strategy by identifying opportunities to connect Retail Express with Commerce Cloud, Merchandising Cloud, Marketing Cloud, Service Cloud, and Da Vinci AI.
• Define and monitor product KPIs, customer adoption, engagement, retention, operational efficiency, and business outcomes, using data to continuously optimize product performance and customer experience.

• Design and build scalable data platform services that power analytics, reporting, machine learning, and AI workloads across Maropost products.
• Build and maintain reliable data ingestion pipelines using CDC and event-driven architectures.
• Develop and evolve our centralized analytics warehouse, ensuring high performance, scalability, and maintainability.
• Design and implement data models, materialized views, and aggregation strategies to support product analytics and business reporting.
• Build supporting APIs and services that expose analytics and reporting capabilities to internal and external consumers.
• Define and implement multi-tenant security controls, data governance standards, and access management policies.
• Monitor platform health, data freshness, ingestion lag, and overall system reliability.
• Contribute to technical specifications and actively participate in architecture and design discussions.
• Improve developer productivity through automation, tooling, observability, and operational excellence.
• Strengthen test coverage and engineering practices to ensure reliable and maintainable systems.

Senior Software Engineer, Data Engineer

Senior Product Manager – AI

Product Manager

Senior Software Engineer, Data Platform