Why This Job is Featured on The SaaS Jobs
This Customer Onboarding Intern role sits at a common SaaS pressure point: the moment a customer’s intended workflow meets the realities of a configurable platform. The remit spans keeping brands live through configuration, integrations, and data quality work, while also troubleshooting issues that surface after launch. The mention of automation initiatives suggests a product-led operations environment where reducing manual handling becomes part of sustaining the service as usage grows.
For a SaaS career, the value is in learning how operational work connects directly to retention drivers like reliability, correctness, and time to value. Hands-on exposure to SQL, light scripting, and quality checks builds practical fluency in the data layer that underpins many SaaS teams, from Customer Success Operations to Implementation and Support Engineering. Cross-functional collaboration with Product and Engineering also provides context on how customer-reported problems translate into platform improvements and release validation.
This role suits early-career candidates who enjoy structured problem solving and can balance detail-oriented data work with investigative troubleshooting. It will appeal to those who prefer clear ownership of tickets and change requests, and who are motivated by making systems more repeatable through automation rather than relying on manual fixes.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
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-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
Additional Responsibilities
- 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
Additional Skills / Expectations
- 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.
