Engineering Manager, Onsite Customer
Listed on 2026-01-12
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Software Development
Cloud Engineer - Software, Software Engineer
Location: New York
Engineering Manager, Onsite Customer Growth
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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!), Linked In’s Top Startups, Forbes’ Cloud 100 (five years running!), and Inc.’s Best Workplaces.
About the RoleThe Onsite Customer Growth team builds the features that help Attentive’s customers grow directly on their websites. Our mission is to accelerate list growth and improve conversion by delivering creative, high‑performing onsite experiences powered by strong engineering and intelligent AI‑driven optimization.
We are looking for an experienced Engineering Manager who can lead a team of backend engineers in building scalable systems that support millions of daily interactions. In this role, you will guide the technical direction of the team, foster engineering excellence, and collaborate deeply with AI, data, product, and design partners to deliver impactful, high‑quality products.
This role blends technical leadership, people management, and hands‑on architectural oversight, making it ideal for a manager who enjoys developing engineers while driving execution and innovation.
What You’ll Accomplish- Lead, mentor, and grow a high‑performing engineering team responsible for building the backend systems powering onsite customer growth products
- Set the technical vision and roadmap for backend services, APIs, and data‑driven systems that power personalized onsite experiences at scale
- Partner closely with AI, data, and product teams to develop intelligent capabilities that improve performance and user experience
- Ensure the reliability, scalability, and performance of the systems that support customer growth and real‑time user interactions
- Drive best practices in design discussions, code reviews, architecture decision making, and operational excellence
- Foster a learning‑oriented team culture that encourages collaboration, curiosity, ownership, and continuous improvement
- Own delivery of key product initiatives, balancing long‑term platform investments with near‑term business objectives
- Promote clean, maintainable, well‑tested code and high engineering standards across the team
- 7+ years of professional backend software engineering experience, including at least two years managing or leading engineers
- Strong proficiency in one or more modern programming languages such as Java or Type Script
- Experience designing and operating distributed systems, APIs, and microservice architectures at scale
- Hands‑on familiarity with cloud platforms such as AWS and containerization technologies such as Docker or Kubernetes
- Deep understanding of databases, messaging systems, or streaming technologies such as Postgre
SQL, Redis, or Kafka - Track record of building reliable, scalable, high‑throughput systems that support customer‑facing products
- Demonstrated ability to coach and develop engineers, drive team alignment, and create an inclusive, collaborative engineering environment
- Strong communication and cross‑functional partnership skills, with the ability to work effectively with AI, data, product, and design teams
- A mindset rooted in ownership, curiosity, and a passion for building meaningful systems…
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