TLM (Tech Lead Manager)

About the role

Leading Home Infrastructure at Roblox

Roblox empowers a global community of developers and creators. Every day, tens of millions of people explore, create, play, learn, and connect in 3D immersive digital experiences. We build the tools and platform that bring these experiences to life, aiming to reimagine how people connect from anywhere on any device. Our mission is to connect a billion people with optimism and civility.

We are seeking a TLM (Tech Lead Manager) to shape the future of human interaction. This role solves unique technical challenges at scale and helps create safer, more civil shared experiences. The position focuses on the Home Infrastructure team, which builds mission-critical backend and data systems for the Homepage and Experience Details Page. These surfaces reach the vast majority of daily active users and drive discovery, engagement, retention, and platform growth.

This is a full-stack product infrastructure role. The team manages content distribution across Roblox. Our systems support exploratory browsing, directed discovery, and personalized content recommendations. We operate 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, Search, and Core Infrastructure teams.

As Engineering Manager for Home Infrastructure, you will lead a team of Backend and Data Engineers. You will guide the technical strategy for large-scale content discovery, personalization, ranking, data, and backend-serving systems. You will drive high-impact initiatives such as Personalization-as-a-Platform, full-page personalization, real-time user signal infrastructure, and ranking observability.

You Will

You will define the intake strategy for discovery surfaces. You will define signals, requirements, and acceptance criteria with cross-functional stakeholders. You will design architecture for ranking, personalization, and content delivery. You will balance scale, latency, and operational simplicity.

You will measure experiment performance and interpret telemetry. You will guide decisions that affect homepage and experience details page behavior. You will ship features through controlled rollouts. You will coordinate with frontend, backend, and data teams to reduce deployment risk.

You will partner with Machine Learning and Data Science teams. You will align models with product goals and ensure responsible use of personalization systems. You will grow engineers by mentoring staff and senior staff. You will improve code quality and strengthen reliability practices across backend services.

You will review large-scale changes before launch. You will validate performance, privacy, and correctness for high-traffic discovery surfaces. You will translate creator and user feedback into technical requirements. You will influence ranking, exploration, and content presentation.

You Have

You must have three or more years managing engineering or tech lead work. Your experience should be on backend, data, ranking, recommendation, search, ads, or personalization. You need deep knowledge of distributed systems, service oriented architecture, high-throughput platforms, data infrastructure, or ML-powered serving systems.

You must have led teams operating consumer-facing production systems. These systems demand high reliability and strict performance targets. You should have a history of handling ambiguous, cross-functional initiatives. These initiatives should deliver measurable product or business outcomes. You must experience growing engineers and developing technical leaders. You must sustain healthy, high-performing teams.

You Are

You are technical and strategic. You can guide architecture, roadmap, and execution across complex backend, data, and personalization systems. You are impact-oriented. You focus on building systems that improve user experience, creator success, and Roblox's long-term growth.

Compensation & Location

Location: USA

Engagement: Full-time.

Compensation: 183,000 USD to 248,000 USD per year.

Nice to Have

Experience working closely with Machine Learning, Data Science, Product, Design, Frontend, Ads, Marketplace, Virtual Economy, Search, and Core Infrastructure.

Skills & Tools

Machine Learning, Data Science, Product, Design, Frontend, Ads, Marketplace, Virtual Economy, Search, Core Infrastructure.

Practical Notes

Please What you'll do