Software Engineer, Ads Solutions

Posted 11 Days Ago
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Taipei City, TWN
In-Office
Mid level
Artificial Intelligence
The Role
Diagnose Tier 2/3 issues across ad serving, tracking, data pipelines, and ML-driven bidding. Perform root-cause analysis using logs and SQL, debug programmatic advertising integrations, validate partners, analyze supply-chain data, identify invalid traffic, and build internal tools and playbooks. Collaborate with Product, Engineering, and Data Science to improve platform reliability, delivery, and performance.
Summary Generated by Built In

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 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

Skills Required

  • 3+ years in technical support, solutions engineering, or ad operations
  • 2+ years working with ad tech systems, including DSP, SSP, ad server, or MMP platforms
  • Strong understanding of programmatic advertising, including RTB, auctions, pacing, attribution, and tracking
  • Strong SQL skills
  • Proficiency in a scripting language such as Python
  • Experience debugging APIs, logs, and distributed systems
  • Experience with AI-assisted development tools such as Copilot, Cursor, or Windsurf
  • Strong written and verbal English communication skills
  • OpenRTB field-level debugging experience
  • Experience with BigQuery, Spark, Snowflake, or ClickHouse
  • Familiarity with supply-chain transparency, invalid traffic, or MFA
  • Experience with AppsFlyer, Adjust, or Branch
  • Knowledge of VAST, CTV, or Open Measurement SDKs
  • Experience with Datadog, Grafana, or Kibana
  • Mandarin, Japanese, or Korean language skills
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The Company
HQ: Taipei
642 Employees
Year Founded: 2012

What We Do

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 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.

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