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Engineering Manager, Shopper Management

Attentive
United StatesPosted 16 May 2026

Job Description

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 Our Engineering team creates innovative product experiences that power personalized marketing at a 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. The Shopper Management organization sits at the foundation of Attentive’s marketing platform. Our mission is to help brands understand who their shoppers are, what we know about them, and how that data can be trusted and used across messaging, segmentation, journeys, reporting, and AI-driven personalization. This includes the systems that recognize shoppers across channels, unify identifiers and subscriptions into a coherent person-centric model, maintain authoritative profile data, make shopper data visible and explainable, and ensure that downstream teams can activate that data reliably. As Engineering Manager, Shopper Management, you will lead a team that owns a critical part of Attentive’s shopper platform. The broader domain spans Identity, User Profile, and Data Foundations, including systems for identity resolution, shopper profiles, attributes, data quality, event APIs, and profile serving. Your team’s work will help marketers understand their shoppers, trust the data behind that understanding, and activate it through segmentation, journeys, messaging, reporting, and AI-driven personalization. You will own the team’s roadmap, technical strategy, execution, and operational health. You will partner closely with Product, Design, Data Science, Analytics, BI, and other engineering teams to turn customer and business needs into durable platform capabilities and customer-facing product experiences. You will stay technically close to the work and help the team make strong tradeoffs across scale, reliability, accuracy, privacy, and product velocity. This is a high-leverage role for a manager who enjoys building foundational platforms and data systems, developing senior engineers, creating clarity in ambiguous domains, and connecting infrastructure work to customer-visible impact. What You’ll Accomplish Lead and grow a team of engineers, including senior engineers, building foundational Shopper Management systems Set the team’s technical strategy and roadmap, balancing product delivery, reliability, and long-term platform health Improve the consistency, completeness, traceability, and usability of shopper data across Attentive Build systems that help marketers understand and activate shopper data through profiles, segmentation, journeys, reporting, and personalization Partner ... (truncated, view full listing at source)
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