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Appier

Technical Solutions Engineer (Japanese) – Tokyo, Japan

Appier is hiring a Technical Solutions Engineer (Japanese) – Tokyo, Japan (Japan). Level rates it ; you can apply on Appier.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • Level classes it as a junior role.
  • Appier has 66 other open roles on Level.

AI in this role

About Appier

Appier is an AI-native Agentic AI as a Service (AaaS) 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). Visit www.appier.com for more information.

About the role

  • Deep dives into our customers' business cases, data, and constraints and ensures the optimal usage of Appier’s AI-empowered ad solutions.
  • In-depth knowledge of Appier’s ad solutions: you are familiar with all of the details from development, service operation to the sales strategy.
  • Work with Product and HQ’s Technical Solutions teams to support successful adoption of Appier's solutions, including providing appropriate documentation, technical guidance.
  • Develop solutions for customers by working out existing product upon data integration, service application recommendations
  • Discuss the product definition, implementation, operation and clarify issues with customer and consolidate the feedbacks to product team on behalf of the customer
  • Optimize business outcomes for customers by leveraging Appier’s AI and data assets

 

Responsibilities

  • Guide clients through the onboarding process, ensuring timely and successful adoption of our solutions.
  • Working as a liaison with clients and stakeholders to determine project requirements, scope, schedule, and deliverables.
  • Preparing technical specifications for developers to implement.
  • Creating user and training documentation for smooth operation.
  • Troubleshooting technical issues and solving the issues by close communication with developers.
  • Developing internal tools and scripts to streamline operations and visualize/analyze data.
  • Escalating feature enhancements and help coordination between clients and Project Managers.
  • Analyzing data and giving insights to customers and colleagues.
  • Understanding the client's current status and proactively following up with them based on the project timeline.

About you

[Essential]

  • Strong oral and written communication skills in both English (=Professional level) and Japanese (=Native level).
  • Explanation skill in an easily understandable manner with logicalness.
  • Solid research and summarization skills.
  • Knowledge of using SQL query to get the data from the database.
  • Willingness to learn and adapt to new technologies. Self-motivated and independent learner.

[Nice to have]

  • Experience in the mobile measurement partner(AppsFlyer, Adjust…) industry.
  • 1+ years of experience in a relevant position(Technical Solution /Technical Consultant).
  • Experience in the digital marketing or advertising industry.
  • BS/BA degree in Computer Science or related field.
  • Can read Javascript and understand what the code is doing.
  • iOS or Android application development experience.
  • Ability to perform maintenance and debugging tasks for Web and App SDK-related solutions.
  • Experience with data mining projects, has strong sense of using data to help executives make business decisions 
  • Potential ability to conduct data analysis and high level of consultation.

#LI-EZ1

How we rate this

Technical Solutions Engineer (Japanese) – Tokyo, Japan at Appier rates 23 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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