CommerceIQ
CustomerOnboarding-Intern
Neural analysis suggests this role is
optimal for Entry candidates.
“Customer Onboarding-Intern at CommerceIQ. Skills: process management, cross-functional coordination, vendor/stakeholder management, operational metrics, resource planning, continuous improvement, SQL, scripting, attention to detail, structured thinking. 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 escal”
What You'll Achieve.
improve quality at scale; reduce manual load; reduce repetitive manual work; improve quality at scale; catch configuration drift or data issues before they surface as customer problems; improve operational SLAs for customer onboarding and configuration requests; identify bottlenecks and recommend process improvements; standardize workflows; reduce dependency on manual interventions
Industry & Context.
triage ambiguous problems; identify root cause
What They're Looking For.
Must Have
Working knowledge of SQL, Basic scripting ability (Python preferred), High attention to detail, Structured thinking, Ability to ramp fast on unfamiliar the platform is complex and documentation is never complete
Nice to Have
experience with Databricks or BigQuery is a plus, Exposure to e-commerce is an advantage
What You'll Do.
Own end-to-end configuration change requests for live customers — understanding the requirement
and validating the output
Troubleshoot configuration issues raised by customers
and either resolve or escalate with clear diagnosis
Perform manual product data operations — brand 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
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
How You'll Work.
Team & Collaboration
Collaborate with Product, Engineering, and Customer Success teams to resolve cross-functional issues efficiently
Communication Scope
ability to explain technical findings to non-technical stakeholders
Full 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. The Team 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. What You'll Do 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 What You'll Bring 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
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