Summary
✨ AI‑Generated
A software engineering role focused on building and troubleshooting intelligent advertising systems. The position requires strong problem-solving skills, data-driven analysis, and the ability to improve large-scale digital platforms.
Highlights
Work on large-scale advertising technology problems at the intersection of software engineering, data, and AI while solving complex technical challenges.
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 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 biddingPerform 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 anomaliesAnalyze supply-side data (SupplyChain object, ads.txt, sellers.json) to strengthen delivery strategy and flag invalid trafficBuild internal tools and playbooks to reduce investigation time and enable team self-serviceValidate new partner integrations pre-launchPartner 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 systemsExperience with AI-assisted dev tools (Copilot, Cursor, Windsurf)Strong written/verbal English communication
Nice to Have
OpenRTB field-level debugging experienceLarge-scale data tools (BigQuery, Spark, Snowflake, ClickHouse)Supply chain transparency & IVT/MFA familiarityMMP experience (AppsFlyer, Adjust, Branch)VAST/CTV/Open Measurement SDK knowledgeMonitoring tools (Datadog, Grafana, Kibana)Additional language skills (Mandarin, Japanese, Korean)
