Software Engineer II, Segment Personalization

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 Segment Personalization team is the foundation of Attentive's personalization capabilities, processing and serving data for over 100 million customers daily to enable AI-driven, personalized customer experiences. We operate mission-critical infrastructure that powers product recommendations, audience segmentation, and personalized content across the platform. Our systems handle billions of events, serve millions of API requests daily, and drive direct impact to our customer's revenue generation on Attentive. As a Software Engineer II, you will build and improve features across our personalization services, contributing directly to systems that power how Attentive understands products and customers. You will develop a strong understanding of the services you own. Working alongside senior engineers, you will grow your expertise in distributed systems, data pipelines, and real-time processing. Engineering is changing fast, and this team is pushing the boundaries at our discipline. We believe the craft is moving one level of abstraction higher, away from writing code line by line and toward designing systems with judgment, clarity, and simplicity. We use AI aggressively in how we build, and we expect engineers to think deeply about how our systems work to steer outcomes. If you're ambitious about where engineering is headed, this is a team where you'll develop that mindset by doing real work at scale. What You’ll Accomplish Build and improve the systems that power how Attentive personalizes messages for 100M+ customers. Your work directly enables our mission of providing bespoke, 1:1 shopping journeys for every customer Own features end-to-end across our product catalog, customer segmentation, and data ingestion systems, developing a deep understanding of how data flows through our platform and why each piece matters Use AI tools to move fast and focus your energy on the harder problems: understanding system behavior, simplifying architecture, and making good design tradeoffs Your Expertise 2-4 years experience as a Software Engineer, with a foundation in building backend services and a desire to deepen your skills in distributed systems You understand what clean, correct code looks like and follow established best practices, with a strong understanding of data structures, algorithms, and software design fundamentals You are familiar with relational and non-relational databases and understand how data modeling and access patterns affect system performance and reliability You take ownership beyond the task. You care about the end to end impact of your work, from its operations to its impact on the customer. What We Use Our backend is Java / Kotlin / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Aurora, AirFlow, Postgres, and Redis, hosted via AWS Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS, using tooling like Istio, Datadog, Terraform, CloudFlare, and Helm Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright Our automation is driven by custom and open source machine learning models, industry-leading LLMs, lots of data and tech like Python, Metaflow, HuggingFace, PyTorch, TensorFlow, and Pandas 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 $150,000 - $190,000 annually + equity + benefits Our salary ranges are determined by role, level and location #LI-MN1 By applying for this position, your data will be processed as per Attentive's Privacy Policy . Attentive Company Values Default to Action - Move swiftly and with purpose Be One Unstoppable Team - Rally as each other’s champions Champion the Customer - Our success is defined by our customers' success Act Like an Owner - Take responsibility for Attentive’s success Learn more about AWAKE , Attentive’s collective of employee resource groups. If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience. At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide equal employment opportunities for all employees, applicants and covered individuals regardless of protected characteristics. We prioritize and maintain a fair, inclusive and equitable workplace free from discrimination, harassment, and retaliation. Attentive is also committed to providing reasonable accommodations for candidates with disabilities. If you need any assistance or reasonable accommodations, please let your recruiter know.

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