Overview

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.

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Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

• Responsibilities- 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.

Qualifications:

Required Qualifications:

• 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 PythonOR equivalent experience.
• 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)

Other Requirements:

Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:

Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

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This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.