Software Engineer II, Customer Lifecycle Engineering
Attentive
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
As a Software Engineer on the Customer Lifecycle team, you’ll build and evolve the systems that power how we measure, monetize, and optimize the customer journey end-to-end. You’ll partner closely with Finance Systems, RecTech, Analysts, Data & ML Engineers, Product, and Platform teams to turn lifecycle data into reliable, actionable insights and scalable billing capabilities. Your work will enable accurate usage capture, transparent reporting, and self-service analytics, helping drive a more data-informed organization and directly supporting the growth and effectiveness of our AI and Core product experiences.
What You’ll Accomplish
- Partner with cross functional teams to define requirements
- Develop data models to support data integration pipelines with external systems, such as ERPs and CRMS
- Design dimensional data models and build scalable data pipelines
- Ingest data from third party applications & in-house data stores
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