Technical Support/Solution Engineer - Enterprise Solutions (TW or JP or KR)

Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180).

Responsibilities

Responsible for day-to-day customer care and administration of Appier’s products; Respond to escalated technical questions about Appier’s products globally by using written communication channels; Troubleshoot technical issues and solve the issues by close communication with developers; Develop internal tools and scripts to streamline operations and visualize/analyze data; Provide advice and solution of Appier’s products to customers and colleagues from technical aspects; Contribute to new feature enhancements; Analyze data and give good insights to customers and colleagues; Proactively conduct close communication with customers and understand underlying requirements to provide deliverable solutions; Proactively translate business requirements and consolidate into product features for product developments

Requirements

Good understanding of programming concepts (such as Python or JavaScript); Familiarity with data engineering workflows (e.g., ETL processes, data storage solutions); Experience navigating and troubleshooting cloud environments; Strong oral and written communication skills in English (professional level); Ability to use AI tools in daily works, prompt engineering or troubleshootings; Ability to research, analyze, and convey technical information in clear and logical ways; Willingness to learn and adapt to new technologies; Self-motivated and proactive in problem-solving and learning; Relevant BSc degree with 2 years of experience in a relevant position

Nice to have

Strong oral and written communication skills in Japanese or Korean or English; BS/MS in computer science, economics or statistics; Experience in the digital marketing industry; Experience with data mining projects; Experience in development of Agent solution/frameworks (e.g. Langfuse or any of the LLM frameworks); Experience with iOS & Android application development