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Staff Software Engineer, Personalization Engine

Attentive
United States, United Statesfull_timeVerifiedPosted 15 Apr 2025
💰 $240,000/yr($156,400/yr$240,000/yr)

About the role

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 www.attentive.com or follow us on LinkedIn, X (formerly Twitter), or Instagram.
Attentive’s growth has been recognized by Deloitte’s Fast 500, Linkedin’s Top Startups and Forbes Cloud 100 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.
As a Staff Software Engineer in our Personalization Engine group, you will have the opportunity to shape the future of 1:1 personalized marketing by building scalable ML personalization systems that optimize who should receive messages and when to send them. You’ll work closely with data scientists and ML engineers to turn models into scalable, real-time products that power Attentive’s AI-driven marketing suite, empowering 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 Accomplish

  • Develop and maintain scalable systems that power personalized messaging decisions across millions of subscribers
  • Partner with data scientists and ML engineers to productionize models for send-time optimization and subscriber engagement propensity
  • Optimize real-time and batch pipelines for performance, reliability, and experimentation at scale
  • Improve feedback loops and experimentation frameworks to continuously enhance personalization performance
  • Drive engineering best practices in ML systems, experimentation, and high-scale personalization infrastructure
  • Improve code quality through code reviews, testing, and advocating for best practices
  • Contribute to technical decisions and stay current with emerging technologies to enhance our products
  • Collaborate cross-functionally with product, design, and analytics to ship impactful, data-driven features
  • Build amazing consumer experiences, taking responsibility for code quality, scalability, reliability and performance

Your Expertise

  • 9+ years of professional experience in software engineering 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 that maintain a high bar of quality
  • Solid understanding of software engineering best practices, including code reviews, writing tests, and continuous integration.
  • Proven ability to collaborate effectively with cross-functional teams
  • You are excited by new technologies, but are conscious of choosing them for the right reasons

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, Snowflake or Redis
  • Experience w

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Company

Attentive

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