QA & Product Data Specialist (SaaS) — Test Plans, Demo Data & Customer Onboarding

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: TYPE OF WORK

Full Time

: SALARY

?35,000-45,000

: HOURS PER WEEK

40

: DATE UPDATED

Aug 4, 2026

JOB OVERVIEW

ABOUT SUPPLYSCOPE

SupplyScope is the AI workspace for the entire product lifecycle. Purpose-built AI agents enrich every product attribute, verify compliance, and engage suppliers natively. Raw data in, complete PDP out. We were named one of the Financial Review BOSS Most Innovative Companies 2025 (presented by Cognizant).

We're a small, fast-moving team. You'll see the impact of your work within days, not quarters.

THE ROLE

You'll work directly alongside our Product Manager on quality and product data. This is a hybrid role - part QA, part data specialist, part customer onboarding support. If you like finding the thing that's broken before the customer does, and you get satisfaction from a clean, correct data set, you'll enjoy this.

WHAT YOU'LL DO

- Write and maintain test plans and test cases for new features
- Run manual regression testing ahead of each release, and log clear, reproducible bug reports developers can act on without a follow-up conversation
- Build and maintain demo data sets - realistic product catalogues, taxonomies, and supplier records used for sales demos and customer trials
- Set up new customer workspaces: import product data, configure taxonomies, sanity-check the result before handover
- Support customer onboarding - walkthrough documentation, help articles, and answering setup questions
- Catch data quality issues (inconsistent attributes, mismatched taxonomy, missing compliance fields) and either fix them or flag them clearly

WHAT WE'RE LOOKING FOR

- 2+ years in QA, product data, or data operations - ideally on a SaaS or ecommerce product
- Excellent written English. You'll be writing test cases, bug reports, and customer-facing help content
- Detail-obsessive. You notice when a value reads 250ml in one field and 0.25L in another
- Strong with spreadsheets - large product catalogues, CSV imports, lookups, dedupe
- Experience with a bug tracker (Jira, Linear, GitHub Issues, or similar)
- Available for at least 4 hours per day overlapping Sydney business hours (AEST)

NICE TO HAVE (NOT REQUIRED)

- Exposure to product data standards - PDPs, GS1, taxonomy, INCI, or regulatory data (ARTG, FDA)
- Basic API testing familiarity (Postman or similar)
- Any test automation exposure (Playwright, Cypress)

HOW TO APPLY

Start your application with the word PIPETTE so we know you read this through. Then answer these three questions:

1. Tell us about a bug you found that other people had missed. How did you find it?
2. You've been handed a 5,000-row product catalogue to load into a new customer's workspace. Walk us through your first hour.
3. What hours can you work, in AEST?

Applications without the keyword and the answers won't be reviewed.

SKILL REQUIREMENT

Customer Support Software QA Testing Quality Assurance

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QA & Product Data Specialist (SaaS) — Test Plans, Demo Data & Customer Onboarding

Please login or register as jobseeker to apply for this job.

TYPE OF WORK

SALARY

HOURS PER WEEK

DATE UPDATED

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