{"id":116607,"url":"https://alion.io/job/appier-software-engineer-ads-solutions","title":"Software Engineer, Ads Solutions","company":{"id":177717,"name":"Appier","domain":"appier.com","url":"https://alion.io/company/appier-2","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":85,"open_postings":62,"ghost_share":0.161,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":281,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Taipei, Taiwan"],"countries":["TW"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Windsurf","optional":false},{"name":"Adjust","optional":true},{"name":"AppsFlyer SDK","optional":true},{"name":"BigQuery","optional":true},{"name":"ClickHouse","optional":true},{"name":"Datadog","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Grafana","optional":true},{"name":"Kibana","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-08-24T05:57:32Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-10-17T13:12:51Z","board_verified":true,"closed_at":null,"days_open":54,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":53},"description":"About Appier \nAppier 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.\nAbout the Role\nAppier 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.\nYou 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.\n[The seniority/title is determined by job-related skills, experience, and evaluation after the interview.]\nResponsibilities\nOwn Tier 2/3 escalations across ad serving, tracking, data pipelines, and ML-driven bidding\nPerform root cause analysis on delivery failures, pacing anomalies, and performance metric fluctuations (CTR/CVR/CPA/ROAS)\nDebug OpenRTB integrations, VAST/video, SDKs, MMP postbacks, and conversion tracking (S2S, CAPI, SKAdNetwork)\nUse SQL to analyze large-scale bid/impression/conversion data and isolate anomalies\nAnalyze supply-side data (SupplyChain object, ads.txt, sellers.json) to strengthen delivery strategy and flag invalid traffic\nBuild internal tools and playbooks to reduce investigation time and enable team self-service\nValidate new partner integrations pre-launch\nPartner with Product, Engineering, and Data Science to drive platform improvements\nRequirements\n3+ years in technical support, solutions engineering, or ad ops, incl. 2+ years with ad tech systems (DSP/SSP/ad server/MMP)\nSolid grasp of programmatic advertising (RTB, auctions, pacing, attribution, tracking)\nStrong SQL skills and proficiency in a scripting language (e.g., Python)\nExperience debugging APIs, logs, and distributed systems\nExperience with AI-assisted dev tools (Copilot, Cursor, Windsurf)\nStrong written/verbal English communication\nNice to Have\nOpenRTB field-level debugging experience\nLarge-scale data tools (BigQuery, Spark, Snowflake, ClickHouse)\nSupply chain transparency & IVT/MFA familiarity\nMMP experience (AppsFlyer, Adjust, Branch)\nVAST/CTV/Open Measurement SDK knowledge\nMonitoring tools (Datadog, Grafana, Kibana)\nAdditional language skills (Mandarin, Japanese, 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