Engineering Manager, Shopper Management

Attentive

About The Position

Attentive is seeking an Engineering Manager for the Shopper Management team. This role is crucial for building and maintaining the foundational systems of Attentive’s marketing platform. The Shopper Management organization focuses on helping brands understand their shoppers by managing identity, user profiles, and data foundations. This includes systems for identity resolution, shopper profiles, attributes, data quality, event APIs, and profile serving. The work directly impacts marketers' ability to understand, trust, and activate shopper data for segmentation, journeys, messaging, reporting, and AI-driven personalization. The Engineering Manager will own the team's roadmap, technical strategy, execution, and operational health, partnering closely with Product, Design, Data Science, Analytics, BI, and other engineering teams. This is a high-leverage role for a manager experienced in building foundational platforms and data systems, developing senior engineers, and driving customer-visible impact.

Requirements

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

Responsibilities

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