Job Description
About the position
- 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!
- Design and implement automated data pipelines for advanced analytics; Lead the technical development of reusable data product frameworks that enable faster deployment of self-service analytics solutions across business lines
- Evaluate and implement new tools for workflow orchestration, data cataloging, and performance monitoring to optimize the existing data infrastructure
- Develop robust test suites and CI/CD pipelines for analytics code using infrastructure-as-code principles and containerized environments
- Serve as the primary technical contact for cross-functional projects focused on developing high-quality and performant data transformations that power both internal and external reporting
- Create technical design documents, proof-of-concept prototypes, and internal wikis to support knowledge transfer and standardization of best practices
- Conduct research on emerging technologies and propose innovative solutions to improve data processing efficiency, security, and scalability
- Mentor more junior engineers and influence positive behaviors and practices among peers through active coaching, open dialog, code reviews.
- Position is 100% remote and reports to HQ in New York, NY.
- Responsibilities
- Design and implement automated data pipelines for advanced analytics
- Lead the technical development of reusable data product frameworks that enable faster deployment of self-service analytics solutions across business lines
- Evaluate and implement new tools for workflow orchestration, data cataloging, and performance monitoring to optimize the existing data infrastructure
- Develop robust test suites and CI/CD pipelines for analytics code using infrastructure-as-code principles and containerized environments
- Serve as the primary technical contact for cross-functional projects focused on developing high-quality and performant data transformations that power both internal and external reporting
- Create technical design documents, proof-of-concept prototypes, and internal wikis to support knowledge transfer and standardization of best practices
- Conduct research on emerging technologies and propose innovative solutions to improve data processing efficiency, security, and scalability
- Mentor more junior engineers and influence positive behaviors and practices among peers through active coaching, open dialog, code reviews
- Requirements
- Bachelor’s degree or U.S. equivalent in Computer and Information Technology, Computer Science, Computer Engineering or related field plus 5 years of professional experience as a Software Developer, Software Engineer, or any occupation/position/job title involving software engineering for data applications.
- Must also have the following:
- 5 years of professional experience performing software engineering (including developing, documenting, improving, and testing) for web technologies or applications that are scalable and reliable
- 5 years of professional experience utilizing Java, Python, or Go
- 5 years of professional experience building and maintaining production data models (including dimensional modeling, or star schema designs)
- 5 years of professional experience using AI-Related programming languages (including Python, TensorFlow, or PyTorch)
- 5 years of professional experience performing Large Scale Data Processing (including SQL, NoSQL, or Spark) to manage and process large datasets for model training or marketing analysis
- 5 years of professional experience utilizing cloud computing platforms (including AWS, Azure, or GCP) to deploy applications and services on the cloud for scalability and reliability
- Benefits
- 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 $189,592-$241,080 per year. annually + equity + benefits
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