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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Marketing Technology & Agentic Commerce Engineer - **Company:** Weingartz Supply Co. - **Location:** Farmington Hills, MI, United States - **Experience:** Experienced - **Salary:** $80,000 - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), PHP (Programming Language), Artificial Intelligence, Data Analysis, Business Software, Business Systems, Information Systems, Customer Data Management, Data Migration, Document Management Systems, Google Analytics, JSON, Python (Programming Language), Node.Js, BigCommerce, Conversion Tracking, Salesforce.Com, Shopify, SQL Databases, Data Streaming, Symfony, Tag Management, Web Analytics, Extensible Markup Language (XML), Klaviyo Email and SMS Marketing, Scripting, Schema.org, Agentic-AI, Magento, Information Technology, Infor, Restful APIs, Shopware, Software Version Control - **Published:** November 6, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=2a242571b689226f ## About the Role * 3+ years of experience developing and maintaining integrations between business systems, with hands-on responsibility for production environments. * Strong knowledge of REST APIs, JSON, XML, SQL, and at least one scripting language such as Python, PHP, or JavaScript/Node.js. * Experience developing and maintaining product data feeds and working with ecommerce platforms such as Shopware, Magento, Shopify Plus, BigCommerce, or Salesforce Commerce. * Familiarity with structured product data and catalog management within a PIM, ERP, or ecommerce platform. * Working knowledge of PHP and Symfony, including the ability to understand existing code and evaluate development work. * Understanding of structured data and Schema.org markup and its impact on search visibility and product discoverability. * Experience with web analytics, including GA4 or comparable platforms, tag management, event tracking, and conversion measurement. * Familiarity with data migration, version control, production troubleshooting, and testing environments. * Ability to translate business needs into technical requirements and communicate solutions to non-technical stakeholders. * Demonstrated interest in artificial intelligence, automation, and emerging agentic commerce technologies, with the ability to identify practical business applications. Technology Environment: Our technology environment includes Shopware, Pimcore, Klaviyo, GA4, Google Merchant Center, AuthorityLabs, and Infor SX.e. Experience with every platform is not expected; candidates should demonstrate the ability to learn and work across comparable technologies. Preferred Qualifications * Experience with a PIM platform such as Pimcore, Akeneo, Salsify, or inRiver. * Hands-on development experience with Shopware or Pimcore using PHP and Symfony. * Experience developing AI-powered workflows, agents, or business process automation. * Experience in distribution, dealer networks, retail, or multi-brand ecommerce environments. * Familiarity with Minimum Advertised Price (MAP) policies and manufacturer product data requirements. * Bachelor's degree in Information Systems, Computer Science, Engineering, or a related field, or equivalent practical experience. ## Description * Build and maintain the integrations that carry product, pricing, inventory and customer data out of the systems of record into marketing and sales outputs: feeds, assets, websites, portals, email and analytics. * Write and maintain the scripts, scheduled jobs and transformations that keep data moving, with error handling that fails loudly rather than quietly. Map and migrate records never built to a standard. * Work with IT at each company on systems owned outside marketing, respecting that division of ownership. Feeds, Findability & Agentic Commerce * Build and maintain outbound product feeds - retail, dealer, Google Merchant Center, marketplace and partner. Diagnose rejections and fix the cause at the source rather than patching the output. * Implement agentic commerce feed eligibility: mandatory fields per SKU, real-time price and availability accuracy, and the feed structure required for AI-mediated purchase paths. * Implement and maintain structured data and schema across company websites so products, locations, services and content are machine-readable. * Build, ship and operate AI agents and workflows for customers, dealers or internal teams, define where a human stays in the loop, and deliver the first customer-facing agentic commerce experience into production. * Measure findability and act on it: rank tracking, visibility in AI-generated answers, and where our products and content are and are not cited. Automation, Websites & Dealer Platforms * Build the interface and data model for marketing asset automations - Price Book, Buyers Guide, Price Tags and others - alongside any contracted development. * Automate repetitive marketing production work: data preparation, asset generation, publishing and quality checks. Measure the hours returned. * Co-own websites and portals across the companies, public and internal: issue triage, fixes and the enhancement queue. * Build the configuration and content architecture for the dealer self-serve content platform on the distributor's existing document management system. * Define the split between configuration and outside development, and instrument dealer adoption so usage is measured rather than assumed. Analytics, Support & Documentation * Trace and resolve problems when integrations, feeds, automations or sites break - including the slow kind where the cause is three systems upstream. * Work the marketing technology support queue: triage what comes in, fix what can be fixed, escalate what cannot. * Test before release, validate feeds against their specifications, and monitor production jobs so silent failures surface here first. * Implement and maintain analytics instrumentation: tag management, event and conversion tracking, and the connection between marketing activity and revenue. * Build and maintain the enterprise marketing scorecard, and make performance data usable without engineering help. * Document integrations, data flows, scheduled jobs and configurations, and write runbooks for recurring processes, so the company is not dependent on one person.