attentive · New York, NY (Hybrid)
Skills: Java
Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights. Recognized as the 1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries. Leading global brands like Crate and Barrel, Urban Outfitters, and Carter’s work with us to enable billions of interactions that power tens of billions in revenue for our customers. With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive’s team has been consistently recognized for its performance and culture. We’re proud to be included in Deloitte’s Fast 500 (four years running!), LinkedIn’s Top Startups , Forbes’ Cloud 100 (five years running!), Inc.’s Best Workplaces , and the Human Rights Campaign Foundation's Corporate Equality Index ! About the Role The Shopper Data Platform team is the backbone of our data-driven personalization efforts, responsible for ingesting, processing, and serving millions of user data points daily. As a Senior Software Engineer on this team, you will design, build, and evolve the high-scale systems that serve as the single source of truth for user profiles and power core products, advanced segmentation, personalization, and machine learning capabilities. You will take ownership of complex technical problems across our data platform, partnering with engineering, product, data, and ML teams to deliver scalable and reliable solutions. You’ll contribute to architectural decisions, drive projects from design through production, and help improve the quality, performance, and maintainability of …truncated… m-solving and t…
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