Senior Product Manager, AI Compute Infrastructure

Roblox; San Mateo (CA); Sur place; USD 281 000 - 331 000; Plein temps

Avantages offerts par ce poste

Equity compensation

Benefits described on Roblox careers

Résumé du poste

Roblox seeks a Senior Product Manager for AI Compute Infrastructure to shape the strategy and roadmap for next-generation AI compute across data centers and cloud. You will own products turning GPU hosts into reliable, production-ready compute and manage driver/firmware aspects.

You will drive the evolution of Compute Platform services, enabling Roblox teams with fleet APIs and unified tooling, while focusing on reliability, scalability, and cost efficiency for AI workloads.

Qualifications

• 7+ years of product management experience in compute infrastructure or distributed systems.
• Deep understanding of Kubernetes internals and control plane components; experience productizing Kubernetes Operators/CRDs.
• Strong familiarity with GPU/accelerator scheduling, topology-aware placement, and resource readiness validation.
• Experience with cloud-native service networking (CNIs, service mesh).
• Built production-grade compute platforms emphasizing efficiency, reliability, and developer experience.
• Ability to balance multiple stakeholder needs regarding utilization, latency, cost, and time-to-ship.

Responsabilités

• Define and drive the strategy and roadmap for Roblox's Compute Platform, including Kubernetes, Managed Compute Services, and fleet APIs.
• Scale GPU infrastructure for training and inference of frontier models while optimizing cost-to-serve.
• Ensure Compute Platform reliability, reducing MTTR and improving detection/recovery from failures.
• Collaborate with seven platform teams to understand use cases and empower them with Compute Platform primitives.
• Lead cross-functional collaboration among Users, Engineers, AI researchers, Product, Finance, and Roblox leadership.
• Drive prototyping and iterative product evolution, leveraging AI for ideation and value delivery.

Connaissances

Compute infrastructure

Kubernetes internals

GPU architecture

Cloud platforms

Cross-functional leadership

Cost optimization

Description du poste

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, we're 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. We're 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 you'll 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.

About the Role:

AI models reshaping how our community creates, plays, and connects, all run on Compute Platform. As Senior Product Manager, AI Compute Infrastructure, you'll set the strategy and roadmap for Roblox's 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. You'll 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 Roblox's 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)

For roles that are based at our headquarters in San Mateo, CA: The starting base pay for this position is as shown below. The actual base pay is dependent upon a variety of job-related factors such as professional background, training, work experience, location, business needs and market demand. Therefore, in some circumstances, the actual salary could fall outside of this expected range. This pay range is subject to change and may be modified in the future.

Annual Salary Range: $280,540 - $330,950 USD.

All full-time employees are also eligible for equity compensation and for benefits as described on this page.

Roles that are based in an office are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday (unless otherwise noted).

Roblox provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Roblox also provides reasonable accommodations to candidates with qualifying disabilities or religious beliefs during the recruiting process.

For US based roles only, please note the Company may not be able to employ candidates for this role who have United States work authorization related to certain U.S. visa categories, or support future H-1B sponsorship at this time.