Engineering Manager, Shopper Management

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.

• 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

• 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

• 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

You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.

• The US base salary range for this full-time position is $XX,000 - $XXX,000 annually + equity + benefits
• Our salary ranges are determined by role, level and location

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