Engineering Manager, Home Infrastructure

Every day tens of millions of people come to Roblox to explore create play learn and connect with friends in 3D immersive digital experiences all created by our global community of developers and creators.

At Roblox were building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together from anywhere in the world and on any device. Were on a mission to connect a billion people with optimism and civility and looking for amazing talent to help us get there.

A career at Roblox means youll be working to shape the future of human interaction solving unique technical challenges at scale and helping to create safer more civil shared experiences for everyone.

Engineering Manager Home Infrastructure

The Home Infrastructure team builds the mission-critical backend and data systems that power Robloxs Homepage and Experience Details Page two of the highest-traffic surfaces on Roblox. These surfaces reach the vast majority of Robloxs daily active users and are core drivers of discovery engagement retention and platform growth.

We are a full-stack product infrastructure team responsible for content distribution across Roblox. Our systems support multiple modes of user interaction including exploratory browsing directed discovery and personalized content recommendations across the many types of content that make up the Roblox ecosystem.

This team sits at the intersection of large-scale distributed systems machine learning-powered personalization data infrastructure and product experimentation. We partner closely with Machine Learning Data Science Product Design Frontend Ads Marketplace Virtual Economy and other teams across Roblox to build the platforms that help users find the most relevant and engaging content.

As Engineering Manager for Home Infrastructure you will lead a team of Backend and Data Engineers responsible for the end-to-end infrastructure powering Robloxs most important discovery surfaces. You will guide the teams technical strategy grow engineering talent and drive execution on high-impact systems that operate at massive scale.

You Will

• Lead and grow a high-performing team of Backend and Data Engineers responsible for the infrastructure powering Robloxs Homepage and other Discovery product surfaces.
• Define and execute the technical roadmap for large-scale content discovery personalization ranking data and backend-serving systems.
• Drive high-impact initiatives such as Personalization-as-a-Platform full-page personalization real-time user signal infrastructure and ranking observability.
• Partner closely with Machine Learning Data Science Product Design Frontend Ads Marketplace Economy Search and Core Infrastructure teams to deliver measurable product impact.
• Build a strong engineering culture focused on technical excellence reliability experimentation operational health and talent development.

You Have

• 3 years of experience as an Engineering Manager or Tech Lead Manager ideally leading backend data ranking recommendation search ads or personalization teams.
• Strong technical depth in distributed systems service-oriented architecture high-throughput backend platforms data infrastructure or ML-powered serving systems.
• Experience leading teams that build and operate large-scale consumer-facing production systems with high reliability and performance requirements.
• A track record of delivering complex ambiguous cross-functional technical initiatives with measurable product or business impact.
• Experience growing engineers developing technical leaders and building healthy high-performing engineering teams.

You Are

• Technical and strategic: Able to guide architecture roadmap and execution across complex backend data and personalization systems.
• Impact-oriented: Focused on building systems that improve user experience creator success and Robloxs long-term growth.
• Data-driven: Comfortable using metrics experimentation and evidence to guide product and engineering decisions.
• Collaborative: Effective at partnering across Product ML Data Science Design and engineering teams to align priorities and drive outcomes.
• A talent multiplier: Invested in coaching engineers raising the engineering bar and creating an environment where the team can do its best work.