Staff Software Engineer, Personalization Engine
Job Summary
Job Description
As a Staff Software Engineer in the Personalization Engine group, you will shape the future of 1:1 personalized marketing by building scalable ML personalization systems. You will work with data scientists and ML engineers to turn models into scalable, real-time products that power Attentive’s AI-driven marketing suite. Your work will directly influence the delivery of billions of messages, enhancing consumer experiences and driving success for leading global brands. Responsibilities include developing and maintaining scalable systems, optimizing pipelines, and driving engineering best practices. You'll collaborate cross-functionally to ship impactful, data-driven features.
Must have:
- 9+ years of software engineering experience in backend systems.
- Proficiency in Java, Python, or Go with object-oriented programming.
- Experience in building and maintaining high-performance applications.
- Solid understanding of software engineering best practices.
- Ability to effectively collaborate with cross-functional teams.
Good to have:
- 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 with messaging systems or streaming platforms.
- Familiarity with frontend engineering with React and TypeScript.
- Experience with DevOps practices and tools such as Docker and Kubernetes
Perks:
- Competitive perks and benefits, from health & wellness to equity
22 skills required
Job Details
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 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 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 with messaging systems or streaming platforms (e.g., Kafka, Pulsar)
- Familiarity with frontend engineering with React and TypeScript
- Experience with DevOps practices and tools such as Docker and Kubernetes
What We Use
- Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS. Infrastructure tooling includes Istio, Datadog, Terraform, CloudFlare, and Helm
- Our backend is Java / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Kinesis, AirFlow, Postgres, Planetscale, and Redis, hosted via AWS
- Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright
- Our machine learning is driven by custom and open source machine learning models, lots of data and built with Python, Anyscale, Tecton, 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 $156,400 - $240,000 annually + equity + benefits
- Equity is a substantial part of the total compensation package
- Our salary ranges are determined by role, level and location
#LI-JK1
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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