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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # PIM Specialist Solution Engineer, Informatica - **Company:** Salesforce.com, Inc. - **Location:** Chicago, IL, United States - **Experience:** Expert - **Salary:** $173,460.0 - $231,980.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Web Syndication, Data Cleansing, Data Governance, Extract Transform Load (ETL), Digital Asset Management, Middleware, Microsoft Dynamics, SAP ERP, Oracle (Applications), SAP (Applications), Data Streaming, Systems Integration, Boomi, SOAPAPI, Magento, Information Technology, SAP S/4HANA, Data Pipelines, Mulesoft - **Published:** July 29, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17727382?backUrl=%2Fcareer%2F17727382%2FPim-Specialist-Solution-Engineer-Informatica-Illinois-Chicago ## About the Role You possess a degree in Computer Science (B.S., Master's, or Ph.D.) with minimum of 8-10 years demonstrated experience in the following areas: Product & Data Modeling * Hands-on expertise with Informatica Product 360, MDM, or equivalent PIM platforms (e.g., Akeneo, Salsify, Stibo, Riversand, Syndigo) * Strong understanding of product data modeling - attribute management, classification hierarchies, product families, variants, BOM, and bundles * Data governance frameworks - data quality rules, stewardship workflows, approval processes, and completeness scoring Integrations & Architecture * Digital Commerce - product content syndication to PIM-connected storefronts (Salesforce Commerce Cloud, SAP Commerce, Magento), PDP enrichment, and SEO-ready content workflows * ERP - SAP (S/4HANA, ECC), Oracle, or Microsoft Dynamics; understanding of item master management and data flows between ERP and PIM * DAM - linking rich media (images, videos, documents) to product records; familiarity with platforms a plus (e.g., Bynder, Canto, Cloudinary) * API & Integration Patterns - REST/SOAP APIs, ETL/ELT pipelines, and middleware (MuleSoft, Informatica IDMC, Boomi) for product data ingestion and syndication Emerging Capabilities * Data Enrichment & AI - AI-assisted attribute tagging, auto-classification, and generative content capabilities within modern PIM platforms * Multilingual/Localization - managing regional product data variants, translation workflows, and country-specific compliance attributes Industry Experience Preferred * Retail - planogram data, omnichannel product syndication, GS1/GTIN standards, retail trading partner onboarding (Amazon, Walmart, Target, etc.), and digital shelf readiness * Manufacturing - BOM management, technical specifications, regulatory/compliance data (REACH, RoHS, SDS), spare parts catalogs, and supplier-facing data enrichment ## Description * Using hands-on expertise with Informatica or other Product 360 (PIM/MDM) to deliver compelling, story-driven demos tailored to customer use cases (e-commerce, digital asset management, product data governance, etc.) * Working with complex data architectures - ERP integrations, digital asset management, multilingual/localization workflows, and product hierarchy management * Articulating Informatica's value and differentiation using competitive knowledge of the PIM landscape (e.g., Akeneo, Salsify, Stibo, Riversand, Syndigo) * Presenting and engaging both business and technical level stakeholders * Acting as a trusted advisor for account teams, supporting RFPs, POCs, and onsite engagements * Collaborating as a team player with a community-building mindset - sharing knowledge, building enablement assets, and contributing to the broader SE community ## Related Videos - [Headless by Design: Building Enterprise Systems That Agents Can Actually Use](https://www.wearedevelopers.com/videos/100092-headless-by-design-building-enterprise-systems-that-agents-can-actually-use) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j)