Director of Engineering, Shopper Management Platform

Department: Engineering

About the Role

We're looking for a Director of Engineering to lead our Shopper Management organization, the group responsible for how Attentive understands shoppers and helps determine the best ways to engage with them. This is the data foundation that powers everything: identity resolution, user profiles, segmentation, CRM, and product and offer intelligence. When a marketer asks "who is this shopper, what do they care about, and how should I reach them?", your team provides the answer.

This is a unique role that sits at the intersection of data platform engineering and product-facing systems. You'll own the technical strategy for building a unified, trustworthy shopper data foundation while delivering the marketer-facing experiences that make that data actionable. The pillar spans 5 teams, across identity systems, behavioral data pipelines, segmentation infrastructure, and CRM capabilities.

You'll be the engineering leader for a strategic pillar of the company, partnered closely with Product and Design leadership to drive our evolution to an omni-channel marketing platform with a deep customer focus, making Attentive the best place not just to send messages, but to understand the people behind them.

What You’ll Accomplish

• 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
• Lead and grow an engineering organization across multiple sub-teams, hiring strong technical leaders, coaching managers, and building a culture of ownership and craft
• Drive the unified shopper technical strategy by evolving our cross-channel model that enables powerful personalization and attribution
• 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
• 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
• Own the operational health of the domain, reducing support burden through better tooling, retiring legacy systems, and investing in automated quality detection and self-service debugging
• Partner with Product and Design to deliver marketer-facing experiences that make shopper data inspiring and usable, from segmentation tools to CRM interfaces and shopper profiles
• Accelerate developer velocity by investing in reliable dev/test environments, stable CI/CD, decoupled service architectures, clear system ownership, and agentic automation
• Collaborate cross-functionally with ML, messaging, analytics, and growth teams, whose systems depend on the shopper data foundation you maintain

Your Expertise

• 10+ years of software engineering experience, with 5+ years leading engineering teams including managing managers
• Deep understanding of related data platform architectures: you've led teams building identity systems, customer data platforms, user profile stores, event pipelines, or segmentation engines at scale
• Familiarity with direct marketing and martech ecosystems: you understand how customer data flows from collection through activation, and you appreciate the nuances of CRM, audience building, and personalization
• Strong people-first leadership: you develop engineering managers and tech leads, create high-trust environments, and make the people around you better. You know that the best technical outcomes come from well-supported teams
• Experience operating large-scale data systems: comfort with technologies like Spark, Dynamo, Flink, Kafka, Snowflake, Clickhouse, and similar tools for real-time and batch data processing
• Product sensibility: you can partner effectively with Product and Design, translating business needs into technical strategy and helping your teams understand the "why" behind what they build
• Track record of managing technical migrations and platform modernization: you've navigated the complexity of deprecating legacy systems while maintaining reliability and shipping new capabilities
• Strong communication skills: you can articulate technical strategy to executive stakeholders, align cross-functional partners, and create clarity in ambiguous problem spaces

Nice to Have

• Experience in martech, adtech, or e-commerce platforms where customer data and identity resolution are core to the product
• Background working with ML teams to operationalize predictive attributes into usable, personalized products within a direct marketing platform
• Experience with experimentation frameworks and A/B testing infrastructure
• Familiarity with data privacy and compliance requirements in the context of customer identity and behavioral data

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 $242,760 - $303,450 annually + equity + benefits
• Our salary ranges are determined by role, level and location

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