Software Development Manager -III, Ads Brand Safety and Suitability
Amazon.com
Amazon is shaping the future of digital advertising, and the Brand Safety & Contextual Advertising team plays a critical role in protecting advertiser trust while enabling innovative ad experiences. We're seeking a talented, technically strong, and highly motivated Software Development Manager (SDM) to lead our Brand Safety content intelligence and sourcing initiative—a foundational system that powers both brand safety protection and contextual advertising across Amazon's advertising ecosystem. This team acquires and processes content data and metadata across all web, mobile, video, and audio surfaces at massive scale, handling tens of billions of bid requests daily through real-time, batch, and stream processing systems that leverage generative AI and distributed systems engineering.
Key job responsibilities
As the SDM for Brand Safety and Suitability, you will drive the long-term strategy and architectural vision for generating rich content metadata across billions of open internet supply sources—the critical foundation that enables our models to classify content and maintain advertiser trust. The contextual signals your team extracts power Amazon's contextual targeting capabilities, enabling advertisers to reach audiences based on the content they're engaging with rather than relying solely on user identifiers—a privacy-forward approach that's becoming increasingly essential in the evolving digital advertising landscape. You'll lead and grow a talented team of software engineers building Amazon's next-generation content intelligence and sourcing systems, architecting loosely coupled, distributed processing solutions that implement low-latency machine learning and optimization algorithms at scale. Your technical leadership will be pivotal in processing massive volumes of data with lightning-fast speed and precision, directly impacting campaign effectiveness and shaping the future of contextual intelligence in digital advertising.
This is an opportunity to work at the intersection of engineering and science, solving industry-defining problems using the latest in generative AI technology. You'll build differentiated advertising products that not only protect brands from appearing alongside inappropriate content but also unlock new contextual advertising capabilities—an exciting frontier where Amazon is developing industry-leading solutions to disruptive challenges in the advertising landscape.
Key job responsibilities
As the SDM for Brand Safety and Suitability, you will drive the long-term strategy and architectural vision for generating rich content metadata across billions of open internet supply sources—the critical foundation that enables our models to classify content and maintain advertiser trust. The contextual signals your team extracts power Amazon's contextual targeting capabilities, enabling advertisers to reach audiences based on the content they're engaging with rather than relying solely on user identifiers—a privacy-forward approach that's becoming increasingly essential in the evolving digital advertising landscape. You'll lead and grow a talented team of software engineers building Amazon's next-generation content intelligence and sourcing systems, architecting loosely coupled, distributed processing solutions that implement low-latency machine learning and optimization algorithms at scale. Your technical leadership will be pivotal in processing massive volumes of data with lightning-fast speed and precision, directly impacting campaign effectiveness and shaping the future of contextual intelligence in digital advertising.
This is an opportunity to work at the intersection of engineering and science, solving industry-defining problems using the latest in generative AI technology. You'll build differentiated advertising products that not only protect brands from appearing alongside inappropriate content but also unlock new contextual advertising capabilities—an exciting frontier where Amazon is developing industry-leading solutions to disruptive challenges in the advertising landscape.
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