Senior Software Engineer, Intelligent Messaging AI Journeys
AttentiveSan Francisco, CA$190k – $230kPosted 25 March 2026
Tech Stack
Job Description
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 100s of billions of messages and events per year, enabling marketers to connect effectively with hundreds of millions of consumers. Joining our team offers a high-growth career opportunity to work with some of the world’s most talented engineers in a high-performance and high-impact culture.
As a Senior Software Engineer in our Intelligent Messaging, you will pioneer the future of personalized 1:1 marketing by architecting robust, scalable backend systems powered by advanced AI and LLMs, including cutting-edge Generative AI and GPT technologies. Collaborating with top-tier engineers, data scientists, product managers, and designers, you’ll craft the foundation and reshape the platform of multi-channel messaging experimentation to support innovative, AI-driven applications that empower marketers to forge deep, meaningful connections with consumers at scale. Your impactful work will drive the delivery of billions of tailored messages, transforming consumer shopping experiences and fueling success for the world’s leading brands.
What You’ll Accomplish
Develop and maintain scalable backend systems for our customer-facing products, ensuring high performance and reliability.
Collaborate with cross-functional teams to build applications that support multi-channel communications for marketers.
Implement and optimize systems that process and deliver billions of messages daily.
Improve code quality through code reviews, testing, and advocating for best practices.
Identify and address technical debt to ensure the long-term health of our codebase.
Drive architectural design and technical decisions, and stay current with emerging technologies to enhance our products.
Your Expertise
5+ years of professional experience in software development focusing on backend systems.
Proficiency in Java, Python, or Go, with a strong understanding of object-oriented programming.
Experience building and maintaining scalable, high-performance applications.
Proven ability to collaborate effectively with cross-functional teams.
Solid understanding of software development best practices, including code reviews, writing tests, and continuous integration.
Nice to Haves
Experience with service-oriented architecture and distributed systems.
Familiarity with AWS services and cloud infrastructure.
Knowledge of databases such as DynamoDB, Postgres, or Redis.
Experience with messaging systems or streaming platforms (e.g., Kafka, Pulsar).
Familiarity with frontend development with React and TypeScript.
Experience with DevOps practices and tools such as Docker and Kubernetes.
What We Use
Our in ... (truncated, view full listing at source)
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