Principal Product Manager – Networking at Lambda

San Francisco, California, United States

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$378,000 – $630,000Compensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Cloud ComputingIndustries

Requirements

10-12+ years of product management experience, with significant focus on networking or cloud infrastructure
Proven experience owning networking services (Direct Connect, VPC, Load Balancers) in a cloud, hyperscaler, or large-scale infrastructure environment
Deep understanding of HPC/AI networking, including InfiniBand, RDMA/RoCE, and high-performance Ethernet
Strong technical fluency; able to collaborate directly with engineers and architects on design, tradeoffs, and performance
Excellent communication and storytelling skills, with the ability to translate networking capabilities into customer value
Track record of launching and scaling customer-facing networking products with measurable adoption and reliability outcomes

Responsibilities

Design Lambda’s Networking Backbone: Own the strategy and roadmap for core connectivity services including Direct Connect, Virtual Private Cloud (VPC), and Load Balancers, ensuring secure, high-performance networking that rivals hyperscalers
Advance High-Performance AI Networking: Lead the evolution of InfiniBand (HDR/NDR), RoCE/RDMA, and low-latency Ethernet features to optimize distributed training and inference at scale
Deliver Enterprise-Grade Connectivity: Build private, reliable, and secure networking for enterprise and hybrid environments — from subnets and routing to NAT, peering, and global traffic management
Ensure Security, Reliability & Compliance: Drive encryption in transit, DDoS mitigation, observability, and enterprise compliance across all networking offerings
Partner Across Lambda & the Market: Collaborate with engineering, infrastructure, and solutions teams to launch customer-ready services, while engaging customers and benchmarking against hyperscalers to shape Lambda’s differentiated roadmap

Skills

InfiniBand

RDMA

RoCE

VPC

Direct Connect

Load Balancing

Ethernet

Distributed Training

HPC

Networking

Subnets

Routing

NAT

Peering

Lambda

Cloud-based GPU services for AI training

About Lambda

Lambda Labs provides cloud-based services for artificial intelligence (AI) training and inference, focusing on large language models and generative AI. Their main product, the AI Developer Cloud, utilizes NVIDIA's GH200 Grace Hopper™ Superchip to deliver efficient and cost-effective GPU resources. Customers can access on-demand and reserved cloud GPUs, which are essential for processing large datasets quickly, with pricing starting at $1.99 per hour for NVIDIA H100 instances. Lambda Labs serves AI developers and companies needing extensive GPU deployments, offering competitive pricing and infrastructure ownership options through their Lambda Echelon service. Additionally, they provide Lambda Stack, a software solution that simplifies the installation and management of AI-related tools for over 50,000 machine learning teams. The goal of Lambda Labs is to support AI development by providing accessible and efficient cloud GPU services.

San Jose, CaliforniaHeadquarters

2012Year Founded

$372.6MTotal Funding

DEBTCompany Stage

AI & Machine LearningIndustries

201-500Employees

Risks

Nebius' holistic cloud platform challenges Lambda's market share in AI infrastructure.

AWS's 896-core instance may draw customers seeking high-performance cloud solutions.

Existential crisis in Hermes 3 model raises concerns about Lambda's AI model reliability.

Differentiation

Lambda offers cost-effective Inference API for AI model deployment without infrastructure maintenance.

Nvidia HGX H100 and Quantum-2 InfiniBand Clusters enhance Lambda's AI model training capabilities.

Lambda's Hermes 3 collaboration showcases advanced AI model development expertise.

Upsides

Inference API launch attracts enterprises seeking low-cost AI deployment solutions.

Nvidia HGX H100 clusters provide competitive edge in high-performance AI computing.

Strong AI cloud service growth indicates rising demand for Lambda's GPU offerings.

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