---
title: 'IT Developer at Appier'
canonical: 'https://feeny.ai/job/it-developer-appier-taipei-b4g29gd58vsq'
type: 'job'
last_seen: '2026-10-19'
---

# IT Developer at Appier

- **Company:** Appier
- **Location:** Taipei, Taiwan
- **Posted:** 2026-09-30
- **Last confirmed live:** 2026-10-19
- **Apply:** https://job-boards.greenhouse.io/appier/jobs/8238768

## Job description

## About Appier

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). Visit [www.appier.com](http://www.appier.com/) for more information.

## About the role

We’re looking for a Developer to join our Internal IT team and help us scale the impact we have across the company.

Over the past two years, teams across HR, Finance, Legal, Sales, Growth, and Admin have built and shipped their own internal tools — most of them initiated by non-engineering colleagues using AI coding tools, with light support from IT. It’s worked well, but our capacity to support this is now the bottleneck.

This role exists to fix that. Roughly half your time will go to building and maintaining internal systems yourself, and the other half to being the technical backstop for colleagues building their own tools — stepping in where they get stuck, and turning “it works” into “it’s production-ready.”

We expect this role’s output to be produced largely through AI coding agents. We’re not looking for someone who has tried an AI tool — we’re looking for someone whose day-to-day work has already been reshaped by one.

## Responsibilities

- Build and maintain internal systems and automation tools used across the company, deployed primarily on GCP (Cloud Run, Cloud Functions, Firestore, Cloud SQL)
- Integrate internal and external APIs (Google Workspace, Slack, Jira, Salesforce, etc.) and maintain tools already in production
- Act as the technical point of contact for non-engineering teams building their own tools — helping with deployment, permissions, databases, API integration, performance, and error handling
- Review colleagues’ code, flag risks, and turn prototypes or one-off scripts into maintainable systems
- Build and maintain shared deployment environments, project templates, and components; introduce Git and CI/CD practices for internal tools
- Use AI coding agents (e.g. Claude Code, Codex, Antigravity CLI) as your primary way of building, and design agentic workflows for recurring tasks
- Work directly with stakeholders across departments to clarify requirements, assess feasibility and risk, and propose simpler alternatives when needed

## About You

## Minimum Qualifications

- About 1–3 years of software development experience, with the ability to independently build and ship small to mid-sized systems
- Proficiency in at least one scripting or backend language (Python, TypeScript/Node[.js](http://node.js), Go, etc.)
- Hands-on experience with GCP or another cloud platform, including deployment and access management basics
- Comfortable with Git, code review, and CI/CD workflows
- Experience with Google Apps Script, or confidence to pick it up quickly
- A heavy daily user of AI coding agents (Claude Code, Codex, Cursor, Gemini CLI, or similar) — not an occasional user
- Able to communicate clearly with non-engineering colleagues and translate technical constraints into plain language
- Comfortable digging into unfamiliar systems or APIs independently

## Preferred Qualifications

- Experience using Apps Script to integrate with internal or third-party systems
- Experience with Cloud Run, Docker, or other containerized deployments
- Experience designing agentic workflows, using MCP, or building AI agent toolchains
- API integration experience with Salesforce, Slack, Jira, or other SaaS platforms
- Experience with data processing, reporting automation, or dashboards
- Experience mentoring non-engineers in coding, or writing internal technical documentation
- Experience with internal tools, enterprise systems, or IT automation

## #LI-TC1

## About Appier

## Company Overview
- **One-liner**: Appier is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to turn AI into ROI through cutting-edge AdTech and MarTech solutions.
- **Entity Type**: Public (Tokyo Stock Exchange, ticker 4180)
- **Headquarters**: Taipei, Taiwan (with 17 offices globally including San Francisco)
- **Founded**: 2012
- **Founders**: Chih-Han Yu (CEO), Wan-Ling Lee (COO), Ming-Yu Chen (CSO), Chia-Yung Su (CTO), Che-Hsu Chang (CIO)

## Core Business
- **Primary industry**: AI-powered advertising technology (AdTech) and marketing technology (MarTech)
- **Target customers**: B2B – primarily enterprise and SMB businesses seeking AI-driven marketing automation, customer data platforms, and programmatic advertising
- **Mission**: "Making AI Easy" – helping businesses turn Agentic AI into ROI

## Products & Services
- **Ad Cloud**: Performance-driven advertising platform that automates creative testing, audience targeting, and campaign optimization to maximize ROAS.
- **Personalization Cloud**: Cross-channel customer engagement platform that personalizes every touchpoint using real-time AI adaptation (includes AIQUA).
- **Data Cloud (AIRIS)**: AI-powered Customer Data Platform (CDP) that centralizes, segments, and activates data for unified audience intelligence and real-time decision-making.
- **Other tools**: Aictivate (mobile gamer re-engagement), CrossX (advertising solution), BotBonnie (conversational marketing platform), AdCreative.ai (generative AI creative generation).

## Market Standing
- **Valuation/Cap**: Market capitalization not publicly available in the search results; company is listed on the Tokyo Stock Exchange (Prime section since 2025).
- **Key Metrics**: Total funding raised (estimated from disclosed rounds): ~$142M+ (Series A $6M, Series B1 $23M, Series C $33M, Series D $80M). Annual revenue not disclosed.
- **Notable Investors/Partners**: Sequoia Capital, SoftBank Group, LINE Corporation, NAVER, EDBI, AMTD Group, TGVest Capital, HOPU-ARM Innovation Fund, Temasek’s Pavilion Capital, JAFCO Asia/Investment, UMC Capital, TransLink Capital, MediaTek Ventures, Fontaine Capital, UOB Venture Management.
- **Growth Signals**: Expanded from 4-person start-up to 17 offices globally, serves 1,800+ customers, acquired Woopra (2022), BotBonnie, QGraph, Emin, AdCreative.ai; ranked top ROI-driving ad partner by Singular for two consecutive years; moved to TSE Prime listing in 2025.

## Competitive Advantages
- **Deep AI R&D**: 70% of R&D staff hold PhDs or Master’s degrees in AI/Big Data, with 400+ academic publications.
- **Agentic AI Platform**: Autonomous, adaptive agents for advertising, personalization, and data – built on proprietary machine learning, deep learning, and generative AI.
- **Full-funnel coverage**: Combines AdTech and MarTech in a unified AI-native stack.
- **Global footprint with localised expertise**: Strong presence across APAC, Europe, and US enables cross-border scalability.

## Strategic Focus
- **Agentic AI expansion** – further develop autonomous AI agents across advertising, personalization, and data clouds.
- **Global growth** – strengthen presence in US and European markets following recent acquisitions (AdCreative.ai, Woopra).
- **Generative AI innovation** – incorporate generative AI into creative and campaign workflows.
- **Sustainability & governance** – Received “AA” MSCI ESG rating, integrating ESG into operations.

## Why Work Here
- **Culture**: “H-appier” framework – Hungry (ambitious, fearless), Humble (open-minded, adaptive), Happier (direct communication, diversity & inclusion, growth). Strong emphasis on execution excellence and customer centricity.
- **Remote/Hybrid/Office**: 17 offices globally; specific policy not detailed but positions are likely hybrid/office-based depending on role (many engineering jobs listed in San Francisco, Taipei, etc.).
- **Team**: 642 total employees (Built In estimate); engineering roles heavily weighted in AI/ML.
- **Perks & environment**: “Start a career, not a job” – career growth tools, collaborative environment, celebration of wins.

## Sources
1. [appier.com](https://www.appier.com/en/)
2. [appier.com/about](https://www.appier.com/en/about)
3. [appier.com/career](https://www.appier.com/en/about/career/)
4. [greenhouse.io](http://job-boards.greenhouse.io/appier)
5. [builtin.com](https://builtin.com/company/appier)

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