Salsify (PIM) Developer
Infosys
About the job
Join a fast-moving team focused on building reliable, scalable product information experiences that power seamless commerce and content journeys. In this role, you’ll shape how product data is modeled, enriched, governed, and distributed across channels using Salsify PIM—helping teams turn complex catalogs into consistent, high-quality product stories. You’ll collaborate closely with business stakeholders, data owners, and engineering teams to translate requirements into well-structured PIM solutions, improve time-to-market, and elevate data quality. If you enjoy solving data challenges, optimizing workflows, and delivering integrations that keep product content accurate and channel-ready, this is a great opportunity to make a visible impact while growing your expertise in modern PIM practices and intelligent automation.
Key Responsibilities
Solution Development & Configuration
- Configure and customize Salsify PIM to support product data onboarding, enrichment, validation, and publishing workflows.
- Design and implement product data models (attributes, families, relationships, hierarchies) aligned to business and channel needs.
- Build rules, validations, and governance mechanisms to improve data completeness, consistency, and accuracy.
Integrations & Data Operations
- Develop and maintain integrations between Salsify and upstream/downstream systems (eCommerce, ERP, DAM, marketplaces) using APIs and data feeds.
- Support bulk imports/exports, transformations, and mapping for large catalogs; troubleshoot data issues and optimize performance.
- Monitor jobs, resolve failures, and implement logging/alerts to ensure reliable data pipelines.
Collaboration & Delivery
- Work with stakeholders to gather requirements, translate them into technical designs, and deliver features iteratively.
- Produce clear technical documentation for configurations, integrations, and operational runbooks.
- Participate in code/config reviews, testing, and release activities; mentor junior team members where applicable.
AI Enablement
- Leverage AI-assisted approaches to improve product content enrichment, categorization, and data quality checks where feasible.
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