Software Engineering - Ads Conversion Attribution

Overview

Netflix’s Ads Platform Engineering organization builds advertising systems that deliver ads across our content delivery ecosystem. The Ads Measurement team creates tools for advertisers to quantify campaign outcomes and measure impact while preserving a seamless viewing experience.

• Design, develop, and maintain 0‑to‑1 conversion attribution systems that operate in a privacy‑safe manner while addressing signal loss from third‑party cookie limitations.
• Implement advanced conversion attribution modeling approaches and methodologies to support effective measurement for advertisers.
• Collaborate with cross‑functional teams to integrate ad measurement capabilities into Netflix’s global advertising platform.
• Ensure accurate and timely delivery of attribution data to advertisers, maintaining data integrity and performance at scale.
• Maintain rigorous privacy compliance, working closely with legal and compliance teams.

• Experience building and operating cloud‑based applications using modern, object‑oriented programming languages.
• Broad knowledge of the ad tech ecosystem, programmatic advertising, and digital marketing trends.
• Strong analytical skills and experience with conversion attribution modeling.
• Ability to thrive in a fast‑paced, dynamic environment while managing multiple priorities effectively.
• Excellent communication, negotiation, and relationship‑building skills.

• Contribution to an ad industry technology standard (e.g., VAST, OpenRTB) or participation in an industry consortium working group.
• Familiarity with the legal compliance landscape and evolving regulations around advertising worldwide.
• Experience in the Connected TV (CTV) space and understanding of its unique constraints.
• Knowledge of clean rooms and privacy‑enhancing technologies for multi‑party data sharing.

Netflix is an equal‑opportunity employer and celebrates diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.