Attentive® is the AI-powered mobile marketing platform transforming the way brands personalize consumer engagement. Attentive enables marketers to craft tailored journeys for every subscriber, driving higher recurring revenue and maximizing campaign performance. Activating real-time data from multiple channels and advanced AI, the platform personalizes content, tone, and timing to deliver 1:1 messages that truly resonate.
With a top-rated customer success team recognized on G2, Attentive partners with marketers to provide strategic guidance and optimize SMS and email campaigns. Trusted by leading global brands like Neiman Marcus, Samsung, Wayfair, and Dyson, Attentive ensures enterprise-grade compliance and deliverability, supporting trillions of interactions across more than 70 industries. To learn more or request a demo, visit or follow us on , (formerly Twitter), or .
Attentive’s growth has been recognized by , and all thanks to the hard work from our global employees!
About the Attentive TeamHave you ever received a text message from your favorite brand with an incredible offer? Did you know that text message marketing delivers the highest ROI of any marketing channel? And that more customers than ever prefer to connect with brands via text? That is what we do at Attentive. We empower the world’s leading brands to engage with their customers at the right moment, with the right message. Our platform powers more than 400 million messages every day, approaching 100 billion annually.
We’re building big things! Check out our tech blog here:
About the RoleOur 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 Fully Automated Messaging group, you will have the opportunity to shape the future of 1:1 personalized marketing by building scalable backend systems for our customer-facing AI products. You will collaborate with talented engineers, product managers, and designers to create innovative applications that empower marketers to connect with consumers in meaningful ways. Your work will directly influence the delivery of billions of messages, enhancing consumer experiences and driving success for leading global brands.What You’ll AccomplishDevelop and maintain scalable backend systems for our customer-facing products, ensuring high performance and reliabilityCollaborate with cross-functional teams to build applications that support communication channels for marketersImplement and optimize systems that process and deliver billions of messages dailyImprove code quality through code reviews, testing, and advocating for best practicesIdentify and address technical debt to ensure the long-term health of our codebaseContribute to technical decisions and stay current with emerging technologies to enhance our productsYour Expertise7+ years of professional experience in software engineering focusing on backend systemsProficiency in Java, Python, or Go, with a strong understanding of object-oriented programmingExperience building and maintaining scalable, high-performance applicationsSolid understanding of software engineering best practices, including code reviews, writing tests, and continuous integrationProven ability to collaborate effectively with cross-functional teamsNice to HavesExperience with service-oriented architecture and distributed systemsFamiliarity with AWS services and cloud infrastructureKnowledge of databases such as DynamoDB, Postgres, or RedisExperience with messaging systems or streaming platforms (e.g., Kafka, Pulsar)Familiarity with frontend engineering with React and TypeScriptExperience with DevOps practices and tools such as Docker and KubernetesWhat We UseOur infrastructure runs primarily in Kubernetes hosted in AWS’s EKS. Infrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and HelmOur backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Kinesis, AirFlow, Postgres, Planetscale, and Redis, hosted via AWSOur frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and PlaywrightOur machine learning is driven by custom and open source machine learning models, lots of data and built with Python, Anyscale, Tecton, Metaflow, HuggingFace