Director of Engineering, Shopper Management Platform

Attentive Attentive · Enterprise · United States · Engineering

Director of Engineering to lead the Shopper Management organization, responsible for the data foundation powering identity resolution, user profiles, segmentation, CRM, and product/offer intelligence for an AI marketing platform. The role involves setting technical direction, leading and growing engineering teams, driving unified shopper technical strategy, building data traceability and observability, improving data quality, owning operational health, and partnering with Product/Design to make shopper data actionable for marketers.

What you'd actually do

  1. Set technical direction for the Shopper Management organization, spanning identity resolution, user profile, segmentation, products & offers, and CRM — ensuring these historically independent systems converge into a coherent, shopper-centric architecture
  2. Lead and grow an engineering organization across multiple sub-teams, hiring strong technical leaders, coaching managers, and building a culture of ownership and craft
  3. Drive the unified shopper technical strategy by evolving our cross-channel model that enables powerful personalization and attribution
  4. Build end-to-end data traceability and observability so that every system decision, from segment membership to message targeting, is explainable and auditable, laying the groundwork for client-facing insights
  5. Improve data quality and consistency across the platform, reconciling profiles with segmentation datasets, validating data integrations, and ensuring shopper data is standardized and accessible across all product surfaces

Skills

Required

  • 10+ years of software engineering experience
  • 5+ years leading engineering teams including managing managers
  • Deep understanding of related data platform architectures (identity systems, customer data platforms, user profile stores, event pipelines, or segmentation engines at scale)
  • Familiarity with direct marketing and martech ecosystems
  • Strong people-first leadership
  • Experience operating large-scale data systems (Spark, Dynamo, Flink, Kafka, Snowflake, Clickhouse, and similar tools)
  • Product sensibility
  • Track record of managing technical migrations and platform modernization
  • Strong communication skills

What the JD emphasized

  • 5+ years leading engineering teams including managing managers
  • Deep understanding of related data platform architectures
  • Experience operating large-scale data systems
  • Track record of managing technical migrations and platform modernization

Other signals

  • AI marketing platform
  • AI-powered personalization engine
  • data foundation that powers everything: identity resolution, user profiles, segmentation, CRM
  • cross-channel model that enables powerful personalization and attribution
  • Build end-to-end data traceability and observability
  • Improve data quality and consistency across the platform
  • reconciling profiles with segmentation datasets
  • Collaborate cross-functionally with ML, messaging, analytics, and growth teams