Jobs · Marketing · California

Senior Product Manager, Jobs Platform

OneClick Smart Resume · San Mateo, CA · Yesterday
Marketing$281k–$331k/yrFull-time

About the role

Award-winning platform for creating, playing, learning, and connecting with friends in 3D immersive digital experiences. Building tools and platform to empower our global community of developers and creators.

Responsibilities

  • Set the multi-year vision for deploying, running, and scaling AI and other services across Roblox's Core and Edge Datacenters and cloud.
  • Build the platform that brings frontier models and next-gen AI workloads to life, with the primitives, scheduling guarantees, and resource classes AI teams need to move fast.
  • Define how Roblox prioritizes, isolates, and preempts workloads across shared fleet, and shape the entire system across global control plane, multi-region orchestration, distributed systems primitives, capacity/state management, DR/failover, and operator-based Kubernetes extensions.
  • Deliver integrated tooling (CI/CD, telemetry, profiling, tracing) and manage robust Service Level Objectives (SLOs) via real-time fleet signals (health, queue depth, scheduling efficiency).
  • Advance Multi-Cloud Bursting from reactive to proactive with AI-powered prediction, and partner with Data Science and Finance on demand forecasting, cost-to-serve analytics, and AI-driven resource optimization.
  • Make trade-off calls across efficiency, latency, cost-to-serve, and time-to-ship, while maintaining reliability.
  • Lead cross-functionally, acting as the connective tissue between Jobs Platform Users, and Jobs Platform, AI, and infrastructure engineers.

Requirements

  • 7+ years of product management experience building resource orchestration, workload management platforms, or large-scale distributed systems.
  • Track record of building developer-facing platforms that engineers genuinely love to use.
  • Deep understanding of modern software development lifecycle and developer tooling with a history of abstracting complex infrastructure into clean, maintainable platform schemas.
  • Built and operated Kubernetes and enterprise-grade service mesh at scale, and you understand the developer pain points around control plane mechanics like etcd scaling and API server bottlenecks.
  • Built custom Operators, Controllers, and CRDs, going beyond vanilla Kubernetes.
  • Familiarity with GPU/accelerator architecture and the complex scheduling challenges that come with it.
  • Background in AI model development, training, inference.
  • 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 workload management or resource orchestration platforms in AWS, Google Cloud Platform (GCP), Azure or other cloud providers.
  • (Preferred) Kernel-level experience or familiarity with custom kernel drivers.
  • (Preferred) Experience building agentic systems for workload management or infrastructure.

Qualifications

  • Master’s degree in Computer Science, Engineering, or a related field.
  • Proven track record of success in product management roles.
  • Strong communication and collaboration skills.
  • Ability to work independently and as part of a team.
  • Experience with DevOps practices and tools.
  • Knowledge of cloud computing platforms (AWS, GCP, Azure).

Skills

  • Product Management
  • Software Development
  • Cloud Computing
  • AI/ML
  • Distributed Systems
  • Kubernetes
  • DevOps

Benefits

Roblox provides a competitive annual salary range of $280,540—$330,950 USD, depending on various job-related factors. Full-time employees are also eligible for equity compensation and benefits as described on this page.

Pay

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.

Schedule

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

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