Customer Onboarding-Intern

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.

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.

The Customer Onboarding team owns the full lifecycle of how brands go live on the CommerceIQ platform — and stay live. That means configuring and integrating our products to match each customer's business logic, handling ongoing change requests as their needs evolve, maintaining product data quality, and troubleshooting when things break. The work is equal parts technical and operational, and the team is actively building automation to reduce manual load and improve quality at scale.

• →Own end-to-end configuration change requests for live customers — understanding the requirement, making the change, and validating the output
• →Troubleshoot configuration issues raised by customers, identify root cause, and either resolve or escalate with clear diagnosis
• →Perform manual product data operations — brand tagging, product tagging, banner tagging, PIM matching — as part of ongoing platform quality maintenance
• →Contribute to automation initiatives that reduce repetitive manual work, using SQL and scripting to build repeatable solutions
• →Participate in proactive quality checks to catch configuration drift or data issues before they surface as customer problems

• →Monitor and improve operational SLAs for customer onboarding and configuration requests
• →Collaborate with Product, Engineering, and Customer Success teams to resolve cross-functional issues efficiently
• →Analyze onboarding and operational metrics to identify bottlenecks and recommend process improvements
• →Assist in validating new feature releases and configuration changes before production rollout
• →Identify opportunities to standardize workflows and reduce dependency on manual interventions

• Working knowledge of SQL — you should be able to write queries to pull, filter, and aggregate data without hand-holding (experience with Databricks or BigQuery is a plus)
• Basic scripting ability (Python preferred) — not expecting production-grade code, but you should be able to automate a workflow or write a data processing script
• High attention to detail — a lot of this work is about catching what doesn't look right
• Structured thinking — you'll regularly need to triage ambiguous problems and communicate clearly about what you found and what you did
• Ability to ramp fast on unfamiliar systems; the platform is complex and documentation is never complete

• Familiarity with spreadsheets/data tools such as Excel or Google Sheets for operational analysis
• Strong communication skills — ability to explain technical findings to non-technical stakeholders
• Comfort working in a fast-paced startup environment with evolving priorities
• Ownership mindset with the ability to independently drive tasks to closure
• Experience with ticketing/workflow tools like Jira.
• Exposure to e-commerce is an advantage.