Product Lead, GPU Cloud & AI Infrastructure

Lightning AI; New York, San Francisco (NY, CA); Hybrid; USD 200,000 - 250,000; Full time

Benefits offered by this job

Health coverage

Equity opportunity

401(k) + pension

Job summary

Lightning AI is hiring a Senior Product Manager, AI Infrastructure to own the GPU cloud product—from capacity and provisioning to workload execution and observability. You’ll partner with infrastructure teams to improve reliability, utilization, and performance while shaping APIs and developer workflows for customers.

You’ll drive pricing, packaging, and consumption models and define metrics around GPU utilization and adoption. This is a hybrid, NYC/SF role with in-office days.

Qualifications

• 7+ years of product management experience, including 3+ years building cloud infrastructure, compute, platform, developer tooling, or AI infrastructure products.
• Experience building technical products for developers, infrastructure teams, ML engineers, AI researchers, or other technical users.
• Strong understanding of cloud infrastructure concepts including compute, networking, storage, provisioning, scheduling, and orchestration.
• Familiarity with GPU infrastructure and the requirements of large-scale AI training, experimentation, or inference workloads.
• Technical depth to work directly with engineers on APIs, distributed systems, Kubernetes, workload orchestration, observability, and infrastructure reliability.
• Experience using data to understand infrastructure utilization, capacity, reliability, performance, and customer behavior.
• Track record of owning technical products from problem definition through launch and adoption.
• Strong product judgment and ability to turn complex infrastructure capabilities into simple customer experiences.
• Experience with pricing, packaging, consumption-based products, or cloud infrastructure unit economics.
• Strong prioritization skills and comfort making tradeoffs across customer needs, reliability, infrastructure efficiency, and engineering investment.
• Strong written and verbal communication across technical, customer, and executive audiences.
• Comfortable moving quickly and operating in ambiguous environments.
• BS in Computer Science, Engineering, or equivalent practical experience.

Responsibilities

• Own the product vision and roadmap for Lightning AI’s GPU cloud infrastructure.
• Define how customers discover, provision, configure, and consume GPU compute.
• Build product experiences around GPU capacity, clusters, scheduling, networking, storage, and workload execution.
• Partner closely with infrastructure and platform engineering to improve availability, reliability, utilization, and performance.
• Develop a deep understanding of customer workloads, from experimentation and training through inference, and translate those needs into infrastructure capabilities.
• Use infrastructure and product data to identify capacity constraints, reliability issues, performance bottlenecks, and opportunities to improve the customer experience.
• Define the APIs, interfaces, and developer workflows through which customers interact with infrastructure.
• Make product tradeoffs across customer experience, infrastructure efficiency, reliability, cost, and engineering complexity.
• Own pricing, packaging, and consumption models in partnership with Ops, Sales, and Finance.
• Partner with GTM on positioning, technical sales conversations, customer feedback, and competitive differentiation.
• Define and track metrics across GPU utilization, provisioning, workload reliability, infrastructure consumption, adoption, and retention.
• Take products from problem discovery through requirements, launch, adoption, and iteration.

Skills

PM experience

Cloud infrastructure

APIs & distributed systems

Kubernetes

Pricing & packaging

Cross-functional collaboration

Strong written communication

BS in CS or engineering

Education

BS in CS/Engineering

Tools

Kubernetes

Slurm

PyTorch

Ray

Job description

Lightning AI is hiring a Senior Product Manager, AI Infrastructure to own the GPU cloud product—from capacity and provisioning to workload execution and observability. You’ll partner with infrastructure teams to improve reliability, utilization, and performance while shaping APIs and developer workflows for customers.

You’ll drive pricing, packaging, and consumption models and define metrics around GPU utilization and adoption. This is a hybrid, NYC/SF role with in-office days.