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Conversion and attribution are core business capabilities for measuring advertising effectiveness and optimizing ad delivery. They directly influence advertisers’ understanding of performance, budget allocation, and automated bidding decisions. As privacy requirements continue to tighten and cross-site tracking capabilities gradually diminish, the advertising measurement ecosystem is evolving away from approaches that rely on traditional identifiers toward conversion and attribution mechanisms that are more compliant, sustainable, and explainable. Conversion team is responsible for building and operating these core conversion and attribution capabilities. By focusing on the generation, interpretation, and delivery of conversion signals, the team enables advertising performance measurement, delivery optimization, and scalable business growth. Its work spans the entire advertising lifecycle and places extremely high demands on business correctness, timeliness, and reliability, forming a critical foundation of a trusted measurement platform.
Job Responsibility:
Provides critical technical leadership across conversion and attribution, driving the continuous expansion of conversion signal coverage, the evolution of measurement logic, and systematic improvements in system reliability
Operating under complex business constraints and within a rapidly evolving industry landscape, the role requires balancing measurement accuracy, platform stability, and long‑term extensibility
In close collaboration with product, modeling, and engineering partners, this position delivers stable, scalable conversion and attribution capabilities that create sustained business value
Requirements:
Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
Solid experience of shipping high performance C#, Java, or equivalent language code software
Understanding of distributed system and data parallel computing is preferred
Data processing or analytics experience with Spark, Flink, Kafka, Azure Data Lake is a plus
Domain knowledge of ads, search or content services is a plus
Experience of designing mission critical data pipelines with SLA commitment is a plus
Quick learning and solid problem solving and debugging skills
Accountable and proactive
Good communication skill, fluent in English (both oral and written)
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Nice to have:
Understanding of distributed system and data parallel computing
Data processing or analytics experience with Spark, Flink, Kafka, Azure Data Lake
Domain knowledge of ads, search or content services
Experience of designing mission critical data pipelines with SLA commitment