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Customer Success Specialist

Trustana
Department:Social Media Marketing
Type:REMOTE
Region:Australia
Location:Australia
Experience:Associate
Estimated Salary:A$70,000 - A$95,000
Skills:
CUSTOMER SUCCESSB2B SAASDATA MANAGEMENTONBOARDINGPRODUCT DATAAIRETAIL TECHNOLOGYSPREADSHEETSCOMMUNICATIONPRODUCT INFORMATION MANAGEMENTECOMMERCEMARKETPLACE SYSTEMS
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Job Description

Posted on: April 14, 2026

Customer Success Representative (AI & Data)

Location: Australia (Remote)

Industry: B2B SaaS | Product Data | AI | Retail Technology

About Trustana

Trustana helps retailers, distributors, and brands manage and enrich product data so it can be used across e-commerce, marketplaces, and AI systems. Our platform helps customers clean, structure, and optimize large product catalogs so they can improve discovery, automation, and digital sales performance.

The Role

We’re looking for someone who enjoys working closely with customers and helping them get real value from their data.

You’ll guide customers through onboarding, understand how they manage product data today, and help them improve workflows. You’ll also explore simple use cases assisting Sales, that show how better data can improve search, content, and automation.

What You’ll Do

• Build simple proof-of-concept use cases to demonstrate value

• Support onboarding and help customers structure and improve their product data

• Understand customer workflows and guide them toward better usage of the platform

• Drive adoption, customer satisfaction, and ongoing usage

• Support renewals and identify growth opportunities

• Share customer insights with product and engineering teams

What We’re Looking For

• 2-3 years in Customer Success or similar roles in B2B SaaS

• Strong focus on onboarding, adoption, and customer outcomes

• Comfortable working with data (e.g. spreadsheets, product catalogs)

• Curious and proactive, open to exploring new tools including AI

• Strong communication skills and ability to simplify complex ideas

Why Join

• Work on real customer problems with real data

• Exposure to global customers across multiple markets

• Opportunity to grow into product, strategy, or technical roles

• Small team, high ownership, direct impact

Bonus Experience

  • Product Information Management (PIM) platforms
  • E-commerce or marketplace systems
  • Retail technology platforms
  • Working with large datasets or catalog data

What You’ll Get

  • Work with real product datasets from global retailers and brands
  • Experiment with AI tools applied to real customer workflows
  • Exposure to customers across Asia, Europe, and the Americas
  • Opportunity to grow into product, solutions, or strategy roles
  • A startup environment where you can help shape how customer solutions and onboarding evolve
Originally posted on LinkedIn

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