Назад
3 дня назад

Senior Product Manager, Inference Platform (AI)

280 540 - 330 950$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Product Manager, Inference Platform (AI): Building Roblox’s multi-tier inference orchestration platform for deploying, scaling, and reliably operating AI and other services across data centers and multi-cloud infrastructure with an accent on distributed systems, Kubernetes, GPU scheduling, and developer tooling. Focus on designing predictive resource scaling, managing reliability and cost trade-offs, and coordinating platform, AI, and infrastructure engineering teams.

Location: San Mateo, California, United States. Office-based roles are onsite Tuesday, Wednesday, and Thursday, with optional presence on Monday and Friday.

Salary: $280,540–$330,950 USD base pay annually, plus equity eligibility and benefits.

Company

Roblox builds tools and platforms for creating and experiencing 3D immersive digital environments used by a global community of developers and creators.

What you will do

  • Own the vision, strategy, and end-to-end product direction for the Inference Platform.
  • Build deployment, scheduling, scaling, and runtime capabilities for AI and other services across data centers and cloud infrastructure.
  • Define workload prioritization, isolation, preemption, multi-region orchestration, capacity management, disaster recovery, and failover capabilities.
  • Improve developer experience through CI/CD, telemetry, profiling, tracing, SLO management, and frictionless onboarding.
  • Advance predictive multi-cloud scaling with AI-powered forecasting, resource optimization, and cost-to-serve analytics.
  • Lead trade-offs between efficiency, latency, cost, delivery speed, and reliability while coordinating platform, AI, and infrastructure engineers.

Requirements

  • 7+ years of product management experience building resource orchestration, workload management platforms, or large-scale distributed systems.
  • Experience building developer-facing platforms and abstracting complex infrastructure into maintainable platform schemas.
  • Experience operating Kubernetes and enterprise-grade service mesh at scale, including custom Operators, Controllers, and CRDs.
  • Understanding of Kubernetes control-plane mechanics, including etcd scaling and API server bottlenecks.
  • Familiarity with GPU or accelerator architecture, AI model development, training, inference, and related scheduling challenges.
  • For US-based roles, certain US visa categories may not be supported, and future H-1B sponsorship may not be available.

Nice to have

  • Experience with AWS, Google Cloud Platform, Azure, or other cloud providers.
  • Kernel-level experience or familiarity with custom kernel drivers.
  • Experience building agentic systems for workload management or infrastructure.

Culture & Benefits

  • Full-time employees are eligible for equity compensation and company benefits.
  • Work focuses on solving technical challenges at global scale and creating safer, more civil shared experiences.
  • Reasonable accommodations are available during the recruiting process for qualifying disabilities or religious beliefs.
  • Equal employment opportunities are provided without discrimination or harassment.

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