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Appier

AI-powered ad tech and marketing SaaS

Software Engineer Intern - Quality Assurance

Manual & Functional QAConfirmed live in the last 24 hours
InternshipTaipei City, TaiwanNo salary listedIn-person

About the Job

Requirements

  • Able to understand requirements and specifications and follow test steps written in English.
  • Interested in learning new technology and solving real-world problems.
  • Be a graduating student or hold a Bachelor of Science in Computer Science, Engineering, or a related field.

Responsibilities

  • Execute manual tests.
  • Report bugs via JIRA.
  • Verify bug fixes.
  • Conduct exploratory testing with a guided charter.
  • For Advertising Cloud, test advertisements in apps and websites, and record screen video and network traffic logs from a proxy server from the ad click through opening the destination product page.
  • For Personalization Cloud and Data Cloud, test the AI-powered multichannel marketing automation service, ensure integration between components or products, and find weak links in complex system architecture.

Desired Qualifications

  • Experience in web and mobile application testing.
  • Experience with HTTP protocol and its functionality, including RESTful APIs, cookies, and WebUI.
  • Experience with Fiddler or Charles proxy server.
  • Experience with Postman or SoapUI HTTP testing.
  • Good communication skills in English.
  • Experience programming using AI tools such as GitHub Copilot or Cursor.

About the Company

Appier

AI-powered ad tech and marketing SaaS

Appier is an AI-native SaaS company that provides advertising and marketing technology for businesses. Its Ad Cloud automates targeting and optimization, the Personalization Cloud delivers real-time cross-channel experiences, and the Data Cloud (AIXON) unifies data sources to generate actionable audience insights. The platform combines these capabilities into a single ecosystem, strengthened by a series of acquisitions to cover the full marketing funnel. Its goal is to help businesses acquire customers, engage them effectively, and convert more through data-driven decisions and AI-powered automation.

Company size
501-1,000
Company stage
IPO
Headquarters
Taipei, Taiwan
Founded
2012

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