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 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.
You will collaborate with talented engineers, product managers, and designers to create innovative applications that empower marketers to meaningfully connect with consumers. As a Staff Software Engineer in our NYC-based product organization, you’ll have the opportunity to join one of two groups shaping the future of messaging:
In our Core Channels group, you will work to shape the future of personalized marketing by building scalable backend systems for our customer-facing messaging products. Your work will directly influence the delivery of billions of messages, enhancing consumer experiences and driving success for leading global brands.
In our Customer Growth group, you will build systems that personalize the journeys of end users across nearly a billion page views daily. You will work with a cross-functional team to build AI products that enable marketers to acquire subscribers and deliver revenue growth for their businesses.What You'll AccomplishYou understand how to negotiate with Product Management to meet the user’s needs without sacrificing quality or accruing tech debtYou deeply loathe regressions and take proactive steps to protect against them through a variety of testing techniquesYou are constantly improving the quality of the project you are working on, both via code contributions as well as long-term advocacy for larger-scale changesBuild amazing consumer experiences, taking responsibility for code quality, scalability, reliability and performanceCollaborate with subject matter experts, fellow developers, and internal stakeholders to turn business goals into achievable technical roadmapsYour ExpertiseYou have worked professionally with web technologies for 8+ yearsYou have development experience with either Java, Python or GoYou have development experience with relational and non-relational databases You have development experience with streaming technologiesYou have experience architecting applications for high scaleYou have a proven track record of building applications that maintain a high bar of qualityYou are an empathetic communicator who can work seamlessly with technical and non-technical stakeholdersYou are comfortable with ambiguity and are adept at using business goals to turn that ambiguity into clear deliverablesYou are excited by new technologies but are conscious of choosing them for the right reasonsWhat We UseOur infrastructure runs primarily in Kubernetes hosted in AWS’s EKSInfrastructure 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 automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace