Staff Software Engineer, Personalization Engine

Our Engineering team creates innovative product experiences that power personalized marketing at massive scale. We develop cutting-edge applications and systems that process 100s of billions of messages and events per year, enabling marketers to connect effectively with hundreds of millions of consumers. Joining our team offers a high-growth career opportunity to work with some of the world’s most talented engineers in a high-performance and high-impact culture. As a Staff Software Engineer in our Personalization Engine group, you will have the opportunity to shape the future of 1:1 personalized marketing by building scalable ML personalization systems that optimize who should receive messages and when to send them. You’ll work closely with data scientists and ML engineers to turn models into scalable, real-time products that power Attentive’s AI-driven marketing suite, empowering marketers to connect with consumers in meaningful ways. Your work will directly influence the delivery of billions of messages, enhancing consumer experiences and driving success for leading global brands. You’ll Develop and maintain scalable systems that power personalized messaging decisions across millions of subscribers. You will partner with data scientists and ML engineers to productionize models for send-time optimization and subscriber engagement propensity. Optimize real-time and batch pipelines for performance, reliability, and experimentation at scale. Improve feedback loops and experimentation frameworks to continuously enhance personalization performance. Drive engineering best practices in ML systems, experimentation, and high-scale personalization infrastructure. Improve code quality through code reviews, testing, and advocating for best practices. Contribute to technical decisions and stay current with emerging technologies to enhance our products. Collaborate cross-functionally with product, design, and analytics to ship impactful, data-driven features. Build amazing consumer experiences, taking responsibility for code quality, scalability, reliability and performance