Engineering Manager, Shopper Management

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 across Product, Design, Data Science, Analytics, BI, and Engineering to sequence complex cross-team work Own the stability, scalability, and operational health of high-scale systems, especially during large customer launches and seasonal peaks Your Expertise 7+ years of professional software engineering experience, including 2+ years managing a team of engineers Track record leading teams that own high-scale production systems, such as real-time data pipelines, distributed systems, APIs, or data platforms Strong technical depth, with the ability to guide system design, dive into incidents, and review hard architectural calls without becoming a bottleneck Strong communication skills and product judgment, with the ability to represent engineering to Product, Data Science, Analytics, and senior leadership Experience translating business and customer needs into a clear technical roadmap, especially in ambiguous or fast-moving domains Experience growing and developing senior engineers, including hiring, performance management, feedback, and career growth Comfortable working in an experiment-driven environment where priorities shift, customer needs are complex, and learning quickly is important Nice to Haves Experience leading teams in identity, customer data, CDP, marketing technology, personalization, segmentation, attribution, ad-tech, or analytics-adjacent systems Experience with data pipelines or analytics infrastructure that supports downstream product, reporting, ML, or personalization use cases Familiarity with systems that improve data quality, traceability, profile completeness, identity accuracy, or customer-facing explainability Experience partnering with Data Science or ML teams on production matching, predictive attributes, recommendations, RFM, LTV, churn, affinity, or related customer intelligence systems Experience with Java / Spring, AWS, Kubernetes, DynamoDB, Postgres, ClickHouse, Snowflake, Redis, Kafka, Kinesis, Spark, Airflow, React, TypeScript, or GraphQL What We Use Our backend is Java / Kotlin / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Aurora, AirFlow, Postgres, and Redis, hosted via AWS Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS, using tooling like Istio, Datadog, Terraform, CloudFlare, and Helm Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright Our automation is driven by custom and open source machine learning models, industry-leading LLMs, lots of data and tech like Python, Metaflow, HuggingFace, PyTorch, TensorFlow, and Pandas You'll get competitive perks and benefits , from health & wellness to equity, to help you bring your best self to work. For US based applicants: The US base salary range for this full-time position is $210,000 - $250,000 annually + equity + benefits Our salary ranges are determined by role, level and location #LI-EF1 By applying for this position, your data will be processed as per Attentive's Privacy Policy . Attentive Company Values Default to Action - Move swiftly and with purpose Be One Unstoppable Team - Rally as each other’s champions Champion the Customer - Our success is defined by our customers' success Act Like an Owner - Take responsibility for Attentive’s success Learn more about AWAKE , Attentive’s collective of employee resource groups. If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience. At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide equal employment opportunities for all employees, applicants and covered individuals regardless of protected characteristics. We prioritize and maintain a fair, inclusive and equitable workplace free from discrimination, harassment, and retaliation. Attentive is also committed to providing reasonable accommodations for candidates with disabilities. If you need any assistance or reasonable accommodations, please let your recruiter know.

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