1 месяц назад
Product Manager, Cloud Platform Services (AI Cloud)
110 000 - 200 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Product Manager, Cloud Platform Services (AI Cloud): Building user-facing storage, networking, compute, and managed cloud platform services for AI workloads with an accent on cloud-native architecture, developer experience, and multi-tenant infrastructure. Focus on translating ambiguous customer and market needs into product requirements, coordinating multi-quarter delivery, and measuring reliability, cluster provisioning speed, workload density, cost efficiency, and platform usability.
Location: AMER
Salary: $110,000–$200,000 USD base salary per year, with potential bonus, equity, and/or commission.
Company
Nscale is building a vertically integrated GenAI cloud platform spanning data centers, software, and applications for the AI stack.
What you will do
- Own the planning and delivery of platform services covering storage, networking, and compute instances.
- Partner with platform and cloud-native engineers to deliver roadmap items through APIs, UI, CLI, and Terraform.
- Lead cross-functional initiatives from problem framing through launch, measurement, and ongoing product evolution.
- Translate customer needs and market trends across AI/ML workloads, GPU scheduling, multi-tenant platforms, and enterprise operations into product requirements.
- Clarify ambiguous problems, align cloud, infrastructure, and go-to-market stakeholders, and define successful outcomes.
- Shape platform experiences with design and research while defining metrics for reliability, cluster provisioning speed, workload density, cost efficiency, and developer experience.
Requirements
- 2–3 years of product management experience in software or technology, with ownership of significant product areas.
- Hands-on experience building or shipping products on cloud platforms and strong knowledge of cloud-native services.
- Technical fluency in architecture, trade-offs, distributed systems, and multi-tenant platforms.
- Ability to turn ambiguous infrastructure or platform problems into shipped product outcomes.
- Experience mentoring or informally leading peers.
- Excellent written and verbal communication across engineering, customer, and executive audiences.
Nice to have
- Familiarity with Kubernetes, container runtimes, schedulers such as kube-scheduler or Slurm, operators, service meshes, and workload autoscaling.
- Experience with GPU scheduling, accelerated computing, or AI/ML workloads on Kubernetes.
- Background in cloud infrastructure, developer platforms, enterprise software, or AI/ML products.
- Experience in high-growth or early-stage environments.
Culture & Benefits
- Culture centered on innovation, ownership, accountability, openness, and transparency.
- Collaboration across engineering, design, research, and go-to-market teams.
- Medical, dental, and vision benefits.
- Flexible paid time off, parental leave, and retirement plan participation.
- Potential bonus, equity, and/or commission programs.
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