Seeking Senior Performance Advertising Engineer to optimize buyer-side and performance marketing systems. Responsibilities include designing algorithms, building data systems, and refining optimization loops to drive ROAS. Own technical architecture and scale data pipelines for attribution data across Mobile App (including SKAdNetwork, Privacy Sandbox), Video, CTV, and Desktop. Develop RTB algorithms, pacing controls, predictive models, and scalable streaming/batch data pipelines. Build solutions compliant with privacy frameworks and innovate identity integrations post-third-party cookies. Audit data ingestion for accuracy and performance. Write high-performance code in Python, Go, Java, or C++. Requirements: 5+ years in performance advertising or programmatic bidding, expertise in multi-touch attribution, experience with large-scale data pipelines (Spark, Flink, Kafka, Snowflake, BigQuery), knowledge of OpenRTB, DSP/SSP, SPO, and machine learning for CTR/CVR prediction. Bachelor’s degree in engineering or equivalent required. Hybrid work schedule: 3 days in office, 2 days remote. Benefits include parental leave, healthcare, broadband reimbursement, snacks, and catered lunches.
What you'll do
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Implement cross-device graph integrations, household-level frequency capping, and server-to-server attribution systems for CTV & Video
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Audit data ingestion points for architectural flaws, data loss, or latencies affecting attribution accuracy and campaign performance
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Requirements
5+ years of software engineering experience focusing on performance advertising, programmatic bidding, or large-scale user-conversion optimization loops
Demonstrated track record of evaluating and implementing multi-touch attribution (MTA), last-touch attribution (LTA), or incrementality testing frameworks in a production environment
Hands-on experience engineering pipelines handling terabyte-to-petabyte scale data via distributed frameworks such as Apache Spark, Apache Flink, Kafka, and cloud data warehouses (e.g., Snowflake, BigQuery)
Strong technical familiarity with technical specs supporting Mobile App (IDFA/GAID loss mitigations), CTV (App Transport Security, IFA standards), and Desktop environments
Deep understanding of the OpenRTB protocol, DSP/SSP mechanics, and supply-path optimization (SPO)
Experience deploying production-grade Machine Learning frameworks for CTR/CVR prediction
