Engineering Manager, Segmentation
✨ AI Summary
Attentive, the AI marketing platform for 1:1 personalization (SMS, email, push), is hiring an Engineering Manager for its Segmentation team. This role leads backend engineers building scalable, high-volume systems using Java, Spring Boot, DynamoDB, PostgreSQL, Redis, Kubernetes (AWS EKS), and event-driven architecture. Requires 7+ years of software engineering experience and 2+ years managing engineers, with strong backend/distributed systems expertise. US base salary range is $210,000-$240,000 plus equity and benefits.
About the Role
Attentive is looking for an Engineering Manager to lead a team of backend engineers building the scalable, reliable systems that power our platform. You’ll balance people leadership, technical direction, and execution while partnering closely with Product and other engineering teams to deliver meaningful customer and business outcomes.
You’ll develop and grow a high-performing team, guide technical and architectural decisions, and create clarity around complex initiatives. You’ll help ensure our systems and engineering practices evolve as Attentive continues to scale.
What You’ll Accomplish
- 2+ years of experience managing software engineers and 7+ years of professional software engineering experience
- Strong technical foundation in backend engineering, distributed systems, APIs, data modeling, and scalable application architecture
- Experience building and operating high-volume production systems with a focus on reliability, performance, and maintainability
- Proven ability to guide technical and architectural decisions, evaluate tradeoffs, and lead complex initiatives from design through production
- Experience hiring, coaching, providing feedback, managing performance, and developing engineers at different stages of their careers
- Strong cross-functional communication skills with the ability to create clarity and alignment across Engineering, Product, and other stakeholders
- Experience using modern development practices and AI-powered engineering tools to improve team productivity and software quality
What We Use
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- Java and Spring Boot microservices, built with Gradle
- DynamoDB, PostgreSQL, and Redis for our data layer
- Kubernetes running in AWS EKS
- Istio, Datadog, Terraform, Cloudflare, and Helm across our infrastructure and observability stack
- Distributed, event-driven systems processing large volumes of data and customer interactions
- Python and a variety of machine learning and data technologies across our broader technology ecosystem
You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work.
#LI-EF1
For US based applicants:
- The US base salary range for this full-time position is $210,000 - $240,000 annually + equity + benefits
- Our salary ranges are determined by role, level and location
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About the Company
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