Senior Software Engineer, Shopper Data Platform
Attentive United StatesUSD 170,000–205,000 / yearSenior
Key requirements
- Java
- Machine Learning
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
The Shopper Data Platform team is the backbone of our data-driven personalization efforts, responsible for ingesting, processing, and serving millions of user data points daily. As a Senior Software Engineer on this team, you will design, build, and evolve the high-scale systems that serve as the single source of truth for user profiles and power core products, advanced segmentation, personalization, and machine learning capabilities.
You will take ownership of complex technical problems across our data platform, partnering with engineering, product, data, and ML teams to deliver scalable and reliable solutions. You’ll contribute to architectural decisions, drive projects from design through production, and help improve the quality, performance, and maintainability of the systems your team owns.
This is an opportunity to work on foundational infrastructure at the center of our company’s mission to make user data more actionable and valuable. The ideal candidate is a backend engineer who enjoys solving complex distributed systems and data challenges, taking meaningful ownership, and helping the engineers around them do their best work.
What You’ll Accomplish
Design, build, and evolve high-scale backend systems responsible for the ingestion, processing, storage, and serving of Shopper Data Platform and attributes.
Own complex engineering projects end-to-end, translating product and business requirements into scalable technical designs and driving them from implementation through successful operation in production.
Develop and improve APIs, streaming pipelines, and platform capabilities that enable teams across the company to safely and efficiently build on user-profile data.
Improve the scalability, reliability, data quality, observability, and performance of systems processing large volumes of user and event data.
Partner with product, data, and ML teams to deliver user attributes and data capabilities supporting segmentation, personalization, revenue attribution, behavioral analytics, and machine learning.
Contribute to technical design and engineering standards through design reviews, thoughtful architectural decisions, mentorship, and hands-on development of technically challenging work.
Your Expertise
6+ years of professional software engineering experience, with experience designing and operating backend or distributed systems at scale.
Strong experience with data ingestion, processing, and streaming architectures, including systems handling large volumes of user, event, or similarly high-cardinality data.
Strong programming and software-design skills in Java or similar backend languages, with a solid understanding of distributed systems, scalability, reliability, performance, and observability.
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