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Salary: USD 200,000 - 250,000 / annual
Lightning AI is seeking a Senior Product Manager to own the product experience for its GPU cloud infrastructure platform. The role sits at the intersection of AI infrastructure, cloud platforms, and developer experience, requiring deep ownership of how customers discover, provision, configure, and operate GPU compute.
You will define the product vision and roadmap for Lightning AI's GPU cloud, working across Engineering, Infrastructure, Sales, customers, and the executive team. Key responsibilities include:
- Owning the product vision and roadmap for GPU cloud infrastructure
- Defining how customers discover, provision, configure, and consume GPU compute
- Building product experiences around GPU capacity, clusters, scheduling, networking, storage, and workload execution
- Partnering closely with infrastructure and platform engineering to improve availability, reliability, utilization, and performance
- Developing deep understanding of customer workloads (experimentation, training, inference) and translating needs into infrastructure capabilities
- Using infrastructure and product data to identify capacity constraints, reliability issues, and performance bottlenecks
- Defining APIs, interfaces, and developer workflows for customer interaction with infrastructure
- Making product tradeoffs across customer experience, infrastructure efficiency, reliability, cost, and engineering complexity
- Owning pricing, packaging, and consumption models in partnership with Operations, Sales, and Finance
- Partnering with go-to-market on positioning, technical sales, customer feedback, and competitive differentiation
- Defining and tracking metrics across GPU utilization, provisioning, workload reliability, infrastructure consumption, adoption, and retention
- Taking products from problem discovery through requirements, launch, adoption, and iteration
This is a high-ownership role requiring direct investigation of infrastructure and customer problems, data-driven decision-making, and technical collaboration with engineers. You will report to the VP of Product. The role is hybrid based in New York City or San Francisco, with an expectation of two days per week in-office.
Lightning AI, founded in 2019, is the company behind PyTorch Lightning. Through its merger with Voltage Park, it combines developer-first software with cost-efficient, large-scale compute. The company serves solo researchers, startups, and large enterprises globally, with offices in NYC, San Francisco, Seattle, and London. It is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.
**Requirements:**
- 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
**Bonus:**
- Experience at a GPU cloud, neocloud, hyperscaler, AI infrastructure company, or infrastructure developer-tools company
- Experience building products involving GPU provisioning, cluster management, capacity management, workload scheduling, or distributed compute
- Familiarity with GPUs, Kubernetes, Slurm, Ray, PyTorch, distributed training, or similar infrastructure technologies
- Experience with reserved capacity, on-demand compute, utilization optimization, or other cloud consumption models
- Experience building infrastructure products that support large-scale AI training and inference
- Experience working closely with data center, hardware, networking, or infrastructure operations teams
