Job Opportunities API

The Company CommerceIQ is building the AI platform that runs commerce for the world's largest brands. We are not selling AI demos. We are shipping AI agents for content, media, and sales into the workflows of the Fortune 100 every week.                                                                            2,200+            Customers                     10 of Top 12            CPG Companies                     900+            Retailers Connected                     $200M+            Raised          Customers include Coca-Cola, Nestlé, Colgate-Palmolive, Mondelez, Samsung, and Kellogg's. Backed by SoftBank, Insight Partners, and Madrona. Headquartered in Mountain View with teams across the US, India, Canada, and the UK. Pre-IPO. Key Responsibilities Own day-to-day product operations activities including change management requests, product maintenance, product tagging, banner tagging, PIM matching, and configuration updates across customer accounts. Ensure high levels of data quality and operational excellence by validating product classifications, taxonomy mappings, catalog configurations, and onboarding-related deliverables. Investigate operational issues, identify root causes, and work cross- functionally with Product, Engineering, Data Science, and Customer Success teams to drive timely resolution and long-term fixes. Analyze operational workflows, identify bottlenecks and inefficiencies, and recommend process improvements that improve accuracy, scalability, and turnaround times. Drive automation and AI-assisted workflow initiatives by helping translate manual processes into scalable systems, business rules, and operational playbooks. Support strategic and operational initiatives across the organization, taking ownership of new programs, process rollouts, and continuous improvement efforts as business needs evolve. Required Qualifications 3–5 years of experience in Operations, Product Operations, Data Operations, Business Operations, Catalog Operations, or Analytics Strong analytical and problem-solving abilities Hands-on SQL experience Advanced Excel / Google Sheets skills Experience working with large datasets and operational workflows Strong attention to detail and data quality Excellent written and verbal communication skills Preferred Qualifications Experience in e-commerce, retail technology, marketplaces, catalog operations, or product data management Experience with taxonomy management, product classification, or metadata operations Familiarity with Jira, Confluence, BigQuery, Databricks, or similar platforms Exposure to automation tools, Python, scripting, or workflow automation platforms Familiarity with AI-assisted workflows and Generative AI tools Success Metrics SLA adherence for change requests Product Maintenance activities accuracy and throughput Reduction in recurring operational issues Automation opportunities identified and implemented improvements in operational efficiency and data quality Ideal Candidate A highly analytical operator who enjoys solving messy operational problems, investigating root causes, improving data quality,