Product Operations Analyst - L2

Commerceiq; Bengaluru; On-site; INR 900,000 - 1,500,000; Full time

Job summary

CommerceIQ is building the AI platform that powers commerce for the world’s largest brands. We are not selling AI demos; we ship AI agents for content, media, and sales into Fortune 100 workflows every week.

The ideal candidate will own day-to-day product operations, validate data quality across catalogs, and collaborate with Product, Engineering, Data Science, and Customer Success teams to drive scalable, automated processes and continuous improvement.

Qualifications

• 3–5 years of experience in Operations, Product Operations, Data Operations, Business Operations, Catalog Operations, or Analytics.
• 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.

Responsibilities

• Own day-to-day product operations activities including change-management requests, product maintenance, product tagging, bannertagging, PIM matching, and configuration updates across customer accounts.
• Validate product classifications, taxonomy mappings, catalog configurations, and onboarding-related deliverables to ensure data quality.
• Investigate operational issues, identify root causes, and collaborate with Product, Engineering, Data Science, and Customer Success teams to implement timely fixes.
• Analyze workflows to identify bottlenecks and inefficiencies, proposing improvements for accuracy and scale.
• Drive automation and AI-assisted workflow initiatives by translating manual processes into scalable systems and business rules.
• Support strategic initiatives, owning new programs and process rollouts as business needs evolve.

Skills

Analytical thinking

Problem solving

SQL

Excel/Sheets

Tools

Jira

Confluence

BigQuery

Databricks

Job description

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 changemanagement requests, product maintenance, product tagging, bannertagging, PIM matching, and configuration updates across customeraccounts.
• Ensure high levels of data quality and operational excellence by validatingproduct 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 CustomerSuccess 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 continuousimprovement efforts as business needs evolve.

Required Qualifications

• 3–5 years of experience in Operations, Product Operations, DataOperations, Business Operations, Catalog Operations, or Analytics
• Strong analytical and problem-solving abilitiesHands-on SQL experienceAdvanced 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, catalogoperations, or product data management
• Experience with taxonomy management, product classification, or metadata operations
• Familiarity with Jira, Confluence, BigQuery, Databricks, or similarplatforms
• 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, and building scalableprocesses. The ideal candidate combines operational discipline with curiosityabout automation and AI, and is motivated to eliminate repetitive work throughsmarter systems.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other category prohibited by applicable law.