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Appier Tech Stack

AI-native marketing automation and ad-tech platform

IT Services and IT Consulting Taipei, Taiwan 501–1,000 employees Founded 2012 Public Company

Appier is an AI-native AaaS company built on a modern frontend stack (React, Vue, TypeScript) and ML infrastructure (Spark, Flink, Kubernetes) that powers real-time bidding and campaign optimization. The tech mix—batch pipelines, streaming inference, and A/B testing frameworks—reflects a company optimizing for ad-serving latency and campaign performance at scale. Active adoption of GitHub Copilot and ChatGPT signals engineering velocity focus, while the hiring split (engineering-heavy, with meaningful sales and data teams) matches their dual challenge: building AI agents for advertisers and scaling go-to-market across 17 cities.

Tech Stack 148 technologies

Core StackJavaScript TypeScript React Vue GitHub Copilot Cursor Webpack Vite Tailwind CSS Node.js Python GraphQL Jest Apache Spark Apache Flink Kubernetes HTML CSS Git Windsurf Babel Rspack esbuild PostCSS SASS LESS CSS Modules Styled Components React Testing Library Argo Workflows+112 more

AdoptingGitHub Copilot ChatGPT

What Appier Is Building

◆Challenges

Optimizing ad bidding
Ad solution adoption
Improving campaign efficiency
Improving rtb campaign performance
Streamlining corporate legal procedure
It operations issues
Measuring ads incrementality
Optimizing traffic quality
Ad delivery efficiency in real-time bidding
Retention and upsell opportunities

▲Active Projects

Ml job execution frameworks covering training, inference, and post-processing workflows
Large-scale a/b testing experiments
Batch and streaming pipelines for ml training and evaluation
End-to-end rtb ad serving research
Go-to-market planning
Ojm backend architecture
Omni-channel journey map backend
User intention prediction
Product recommendation
Ci/cd pipeline optimization

Hiring Activity

Steady110 roles · 35 in 30d

Department

Engineering

36

Sales

26

Data

11

Marketing

9

Support

6

HR

5

Ops

4

Product

4

Seniority

Senior

47

Mid

23

Intern

12

Manager

12

Junior

10

Staff

4

Director

1

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About Appier

Appier develops AI-powered marketing and advertising solutions for mid-market to enterprise customers. The platform combines predictive AI, real-time bidding, and marketing automation to help brands optimize campaign performance and customer journeys. Founded in 2012 and listed on the Tokyo Stock Exchange (ticker: 4180), Appier serves over 2,000 companies across 17 cities. Core product areas include A/B testing infrastructure, user-intention prediction, product recommendation engines, and omni-channel journey mapping. The engineering footprint focuses on ML training and inference pipelines, RTB infrastructure, and campaign efficiency—indicating an infrastructure-first approach to AI-driven marketing.

HeadquartersTaipei, Taiwan

Company Size501–1,000 employees

Founded2012

Hiring MarketsTaiwan, Japan, South Korea, United Kingdom, Indonesia, Malaysia, China, United States

Frequently Asked Questions

What tech stack does Appier use?

Frontend: React, Vue, TypeScript, Tailwind CSS. Backend: Node.js, Python, GraphQL. ML/data: Apache Spark, Flink, Kubernetes, Argo Workflows. Adopting GitHub Copilot and ChatGPT. Active projects cover ML job execution, batch/streaming pipelines, and RTB ad serving.

Where is Appier headquartered?

Taipei, Taiwan. Founded in 2012 and publicly listed on the Tokyo Stock Exchange Prime Market (ticker: 4180). Operates in 17 cities globally with offices in Japan, South Korea, US, UK, Indonesia, Malaysia, China, and Singapore.