---
title: 'Software Engineer, Ads Solutions at Appier'
canonical: 'https://feeny.ai/job/software-engineer-ads-solutions-appier-taipei-33k53pkdee0x'
type: 'job'
last_seen: '2026-09-07'
---

# Software Engineer, Ads Solutions at Appier

- **Company:** Appier
- **Location:** Taipei, Taiwan
- **Posted:** 2026-08-24
- **Last confirmed live:** 2026-09-07
- **Apply:** https://job-boards.greenhouse.io/appier/jobs/8129487

## 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

Appier is seeking a Software Engineer, Ad Serving to be the deepest technical problem-solver behind our advertising products. When a campaign underdelivers, when CVR drops without an obvious cause, or when a partner integration behaves unexpectedly, you are the person who reproduces the issue, reads the logs, queries the data, and gets to the actual root cause — then explains it in language a client or an account team can act on.

You will work at the intersection of ad serving, data, and machine learning: diagnosing delivery and performance issues across the full funnel from bid request to conversion, validating partner and supply integrations, and turning what you find into concrete improvements to our bidding and supply strategy. You will also build the tooling and playbooks that let the rest of the organization resolve these issues without you.

[The seniority/title is determined by job-related skills, experience, and evaluation after the interview.]

## Responsibilities

- Own Tier 2/3 escalations across ad serving, tracking, data pipelines, and ML-driven bidding
- Perform root cause analysis on delivery failures, pacing anomalies, and performance metric fluctuations (CTR/CVR/CPA/ROAS)
- Debug OpenRTB integrations, VAST/video, SDKs, MMP postbacks, and conversion tracking (S2S, CAPI, SKAdNetwork)
- Use SQL to analyze large-scale bid/impression/conversion data and isolate anomalies
- Analyze supply-side data (SupplyChain object, ads.txt, sellers.json) to strengthen delivery strategy and flag invalid traffic
- Build internal tools and playbooks to reduce investigation time and enable team self-service
- Validate new partner integrations pre-launch
- Partner with Product, Engineering, and Data Science to drive platform improvements

## Requirements

- 3+ years in technical support, solutions engineering, or ad ops, incl. 2+ years with ad tech systems (DSP/SSP/ad server/MMP)
- Solid grasp of programmatic advertising (RTB, auctions, pacing, attribution, tracking)
- Strong SQL skills and proficiency in a scripting language (e.g., Python)
- Experience debugging APIs, logs, and distributed systems
- Experience with AI-assisted dev tools (Copilot, Cursor, Windsurf)
- Strong written/verbal English communication

## Nice to Have

- OpenRTB field-level debugging experience
- Large-scale data tools (BigQuery, Spark, Snowflake, ClickHouse)
- Supply chain transparency & IVT/MFA familiarity
- MMP experience (AppsFlyer, Adjust, Branch)
- VAST/CTV/Open Measurement SDK knowledge
- Monitoring tools (Datadog, Grafana, Kibana)
- Additional language skills (Mandarin, Japanese, Korean)

## #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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