Group Product Manager - AI Infrastructure at Lambda

San Francisco, California, United States

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$314,000 – $523,000Compensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Cloud Computing, TechnologyIndustries

Requirements

10+ years of product management experience, with at least 3+ years managing PMs
Deep expertise in AI infrastructure, cloud computing, or high-performance computing (HPC)
Understand GPUs, distributed systems, and cloud platforms at a technical level
Strong leadership skills and a track record of building and scaling PM teams
Can craft and communicate product strategy across a portfolio and balance near-term wins with long-term bets
Thrive in cross-functional environments and excel at stakeholder alignment and communication

Responsibilities

Lead, mentor, and develop a high-performing team of Product Managers (ranging from PM to Principal PM)
Define and own the long-term product vision and strategy for Lambda’s AI infrastructure offerings—including compute, storage, and networking
Oversee a portfolio of infrastructure products, including GPU clusters, high-performance storage, orchestration systems, and more
Ensure cross-product cohesion to deliver a seamless and integrated cloud experience
Collaborate with engineering, operations, and GTM teams to deliver performant, cost-effective, and scalable solutions
Engage deeply with AI-first customers to translate real-world workload needs (training, fine-tuning, inference) into clear product specifications
Track and anticipate industry trends in cloud infrastructure, AI workload optimization, and distributed systems
Drive product excellence and ensure success metrics (e.g., adoption, utilization, customer satisfaction) are met or exceeded

Skills

Key technologies and capabilities for this role

Product ManagementTeam LeadershipAI InfrastructureGPU ClustersCloud ComputingHigh-Performance StorageNetworkingOrchestration SystemsDistributed SystemsAI TrainingFine-TuningInferenceProduct Strategy

Questions & Answers

Common questions about this position

What is the salary range for the Group Product Manager role?

The salary range is $314K - $523K.

Is this position remote or hybrid, and what are the office requirements?

This is a hybrid position requiring presence in the San Francisco/San Jose/Seattle office 4 days per week, with Tuesday designated as the work-from-home day.

What skills and experience are required for this role?

Candidates need 10+ years of product management experience with at least 3+ years managing PMs, deep expertise in AI infrastructure, cloud computing, or HPC, understanding of GPUs, distributed systems, and cloud platforms, strong leadership skills, and the ability to craft product strategy.

What does the team structure look like for this position?

The role involves leading, mentoring, and developing a high-performing team of Product Managers ranging from PM to Principal PM.

What makes a strong candidate for this Group Product Manager position?

A strong candidate has 10+ years in product management including managing PMs, expertise in AI infrastructure or cloud/HPC, technical knowledge of GPUs and distributed systems, proven leadership in scaling teams, and experience communicating product strategy.

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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