Staff Software Engineer, User Profile

About this role

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

Our Engineering team creates innovative product experiences that power personalized marketing at massive scale. We develop cutting-edge applications and systems that process hundreds of billions of messages and events per year, enabling marketers to connect effectively with hundreds of millions of consumers.

The User Profile team is the backbone of our data-driven personalization efforts, responsible for ingesting, processing, and serving millions of user data points daily. As a Staff Software Engineer on this team, you will provide technical leadership for 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 combine deep hands-on engineering with broad technical leadership, owning architecture across critical data systems and partnering across engineering, product, data, and ML teams. You will tackle ambiguous and complex technical problems, establish architectural direction, and drive initiatives spanning multiple systems and teams from strategy through execution.

This is an opportunity to shape foundational infrastructure at the center of our company’s mission to make user data more actionable and valuable while multiplying your impact through the systems, technical direction, and engineers around you.

What You’ll Accomplish

• Set technical direction and architecture for high-scale systems and API’s responsible for the ingestion, processing, storage, and serving of user profiles and attributes.

• Lead complex, cross-team engineering initiatives across APIs, streaming infrastructure, data processing, and integrations, translating ambiguous product and business needs into scalable technical solutions.

• Design and evolve foundational platform capabilities that enable teams across the company to safely and efficiently build on user-profile data, including subscription lifecycle management and new data-source integrations.

• Drive architectural investments that improve the scalability, reliability, data quality, observability, performance, and maintainability of systems processing data at massive scale.

• Partner with product, data, and ML teams to shape how user attributes and large-scale data processing capabilities support segmentation, personalization, revenue attribution, behavioral analytics, and machine learning.

• Multiply the effectiveness of other engineers through technical mentorship, design reviews, architectural guidance, and engineering standards while remaining hands-on with foundational and technically challenging work.

Your Expertise

• 8+ years of professional software engineering experience, with significant experience designing and operating backend or distributed systems at scale.

• A track record of technical leadership on complex, multi-team initiatives, taking ambiguous problems from definition through architecture, execution, and successful op