Engineering Manager, Segmentation
$210,000–$240,000 year
On-siteNew York City, New York, United States
Job Summary
Lead a team of backend engineers building scalable, reliable systems that power Attentive's AI marketing platform for 1:1 personalization. Balance people leadership, technical direction, and execution while partnering with Product and other engineering teams to deliver meaningful customer and business outcomes. Develop and grow a high-performing team, guide technical and architectural decisions, and ensure systems evolve as the company scales. Manage performance, provide feedback, and create clarity across Engineering, Product, and stakeholders using modern development practices and AI-powered tools. Full-time role with a US base salary range of $210,000 - $240,000 annually plus equity and benefits. Requires 7+ years of professional software engineering experience and 2+ years managing engineers.
Required Qualifications
- 2+ years of experience managing software engineers
- 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
- 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
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.