Staff Product Manager (Compute)

Join Lambda, a leading AI infrastructure company, as a Staff Product Manager (Compute). In this role, you will define the future of compute for our customers, covering instance families, sizes, and tenancy, as well as capacity management and production automation. You will work across various areas based on customer needs and make strategic decisions about which capabilities to prioritize. The ideal candidate will have deep experience in compute platforms, strong analytical skills, and the ability to influence and execute effectively.

Responsibilities

• Definir el futuro de cómo se proporciona la computación a los clientes, incluyendo la forma en que los clientes alquilan instancias y obtienen capacidad.
• Trabajar en áreas que abordan las necesidades más urgentes de los clientes, tomando decisiones sobre qué capacidades son relevantes y cuáles no.
• Colaborar con equipos de ingeniería para llevar a cabo la construcción del producto, tomar decisiones sobre compromisos y mantener la honestidad del alcance.
• Able to define iterative plans that move an organization from the current state towards the desired outcome
• Have owned pricing, packaging, or commitment terms for an infrastructure product
• Have shipped compute primitives that external customers used at scale, like instance types, capacity products, provisioning interfaces, or placement and isolation controls
• Can turn ambiguous customer, technical, and commercial inputs into product definition that multiple teams execute against
• Communicate plainly, write well, and make decisions easier for people who do not all share the same context

Requirements

• Can reason about utilization and capacity economics, and make the call when customer flexibility and hardware utilization pull against each other
• Have owned a product where day two behavior mattered as much as launch, including failure handling, maintenance, and what customers are told when something breaks
• Understand GPU and CPU infrastructure well enough to reason with engineers about launch paths, hardware failure modes, placement, and performance
• Have 7+ years of product management experience, including time on a compute platform at a hyperscaler, neocloud, or comparable cloud provider
• Experience with performance isolation and placement on shared hardware, including what a provider can honestly guarantee
• Experience with bare metal or dedicated host products, including isolation between tenants
• Experience with distributed training or large-scale inference workloads and what they demand of the compute layer
• Experience with hardware failure handling across a large hardware footprint, like spare pools, node replacement, or fault containment
• Experience with the surfaces customers automate against, like public APIs, infrastructure as code providers, machine images, or snapshots
• Experience with interruptible or preemptible capacity, or with reservations and committed use products

Pay

USD 323,000 - 430,000

Benefits

• Can tell which parts of a hyperscaler playbook transfer to an AI cloud and which are cost without benefit