Senior Product Manager, Compute Platform

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.

AI models reshaping how our community creates plays and connects all run on Compute Platform. AsSenior Product Manager Compute Platform youll set the strategy and roadmap for Robloxs next-generation AI infrastructure: the rapidly growing fleet of GPUs and AI accelerators spanning Roblox core and edge data centers and public cloud that decides how fast we can train serve and scale every model on the platform. Youll own the products that turn raw GPU hosts into reliable production-ready AI compute - driver and firmware management fleet-wide health and performance and the abstractions product teams across Roblox build on.

You Will:

• Drive strategy and roadmap for Compute Platform spanning Managed Kubernetes (Roblox Kubernetes Service) Managed Compute Services and other critical distributed systems and our fleet of GPU and CPU machines managed via unified Fleet APIs - all across on-prem and cloud.
• Drive the evolution of our Compute infrastructure to support Robloxs most critical workloads - from AI to Storage to Data Analytics and more - each with their own distinct requirements.
• Build and scale our GPU infrastructure to support training and inference for frontier models enabling innovation at scale while optimizing cost-to-serve.
• Stay laser-focused on Compute Platform Reliability for AI and other Roblox workloads lowering mean-time-to-detection and recovery from failures.
• Partner closely with seven key platform teams to understand their use cases and empower them with Compute Platform primitives enabling them to build on top easily.
• Lead cross-functionally acting as the connective tissue between Compute Platform Users Engineers AI researchers Product Finance and Roblox leadership.

You Have:

• 7 years of product management experience focused on Compute infrastructure or distributed systems at scale.
• Deep practical understanding of Kubernetes internals and control plane components (API Server bottlenecks Etcd scaling limitations Kubelet behavior etc) and experience productizing custom Kubernetes Operators Controllers and Custom Resource Definitions (CRDs) to extend platform capabilities beyond vanilla implementations.
• Deep familiarity with GPU/accelerator architecture and scheduling challenges including topology-aware placement preemption hardware affinity constraints and mechanisms to validate resource readiness before scheduling to avoid wasted compute cycles.
• Familiarity with cloud-native service networking including microservices CNIs and enterprise-grade service mesh architectures.
• Built production-grade compute platforms where efficiency reliability and developer experience were designed-in from day one.
• The ability to balance the needs of multiple users and stakeholders and make optimal tradeoffs between utilization latency cost and time-to-ship while maintaining reliability.
• A builder mindset - you are passionate about prototyping evolving products through rapid iteration and leveraging AI for ideation and unlocking value for users.
• Experience building Compute infrastructure on AWS Google Cloud Platform (GCP) Azure or other cloud providers. (preferred)
• Background in AI model development training inference. (preferred)
• Kernel-level experience or familiarity with custom kernel drivers. (preferred)
• Experience building agentic systems for Compute or infrastructure. (preferred)