Lightning AI
Senior Product Manager, AI Infrastructure
$200K–$250K
New York, New York, United States +3 · Manager · Full-time · Posted Sep 24, 2026
- Location
- New York, New York, United States
San Francisco, California, United States
New York, New York, United States
San Francisco, California, United States - Experience
- 7+ years in product management, including 3+ years in specified infrastructure or platform product areas.
- Education
- BS in Computer Science, Engineering, or equivalent practical experience.
About the job
Own the vision and roadmap for Lightning AI’s GPU cloud, shaping how customers provision, operate, and consume compute from discovery through launch and iteration.
What you'll do
- Define GPU cloud experiences, APIs, and workflows across capacity, clusters, scheduling, networking, storage, and workloads.
- Partner with engineering and operations to improve infrastructure reliability, utilization, availability, and performance, using data to guide tradeoffs.
- Own pricing, packaging, consumption models, and product metrics; collaborate with customers and go-to-market teams on adoption and differentiation.
What they ask for
- 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; familiarity with GPU infrastructure and large-scale AI workloads; technical depth to work with engineers on APIs, distributed systems, Kubernetes, orchestration, observability, and reliability.
- Track record taking technical products from problem definition through launch and adoption; experience using data and with pricing, packaging, consumption products, or cloud infrastructure unit economics.
Nice to have
- Experience at a GPU cloud, neocloud, hyperscaler, AI infrastructure, or infrastructure developer-tools company.
- Experience with GPU provisioning, cluster or capacity management, workload scheduling, distributed compute, or cloud consumption models.
Pay
$200,000—$250,000 USD (base salary)
Tools
APIs, distributed systems, Kubernetes, Slurm, Ray, PyTorch
AI focus
Build GPU cloud infrastructure products supporting AI experimentation, training, and inference workloads.
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