Senior PM, AI Infrastructure — NeoCloud Lead (Hybrid NYC/SF)

Lightning AI; New York (NY); Hybrid; USD 160,000 - 325,000; Full time

Benefits offered by this job

Health coverage

Equity

401(k) + pension

Unlimited PTO

Parental leave

Learning allowance

Wellness stipend

Sabbatical after 4 years

Hybrid work model

In-office meals

Job summary

Lightning AI, the company behind PyTorch Lightning, seeks a Senior Product Manager, AI Infrastructure to drive a premium NeoCloud platform. You will translate customer needs into a differentiated product strategy, partnering with engineering to advance architecture and offerings for priority verticals.

The role reports to the VP of Product and is hybrid, with offices in NYC or SF. You will lead initiatives from discovery through launch, balancing performance, reliability, cost, and scalability

Qualifications

• 7+ years of product management experience, with meaningful experience in cloud infrastructure, developer platforms, or other technically complex products.
• Ownership mindset, a bias toward action, and openness to feedback and new evidence.
• AI-pilled with experience using agents to monitor the effectiveness of product enhancements and identify new opportunities.
• A track record of setting product direction and delivering capabilities that improve customer outcomes and business performance.
• The ability to engage deeply with engineering on architecture and technical tradeoffs while keeping customer value and business goals clear.
• Strong market and commercial judgment, including the ability to evaluate emerging technologies, competitive positioning, and opportunities across verticals.
• Analytical fluency and comfort defining success through measures such as workload performance, reliability, utilization, adoption, customer satisfaction, and unit economics.
• Clear communication and the ability to align engineering, services, and go-to-market teams around decisions and priorities.

Responsibilities

• Define our Neocloud strategy: Establish a clear product vision and roadmap grounded in customer needs, market opportunities, technical advances, and our strengths.
• Build alongside engineers: Partner closely with the managed services team to uncover recurring customer needs, identify gaps, and turn lessons from customer engagements into scalable platform capabilities.
• Understand the market and the frontier: Stay close to customers, emerging infrastructure technologies, and competitive offerings. Distinguish durable shifts from short-term trends and make clear recommendations on where we should lead, partner, or hold back.
• Shape architecture with engineering: Translate customer workloads and business priorities into technical requirements. Partner with engineering on architectural decisions and tradeoffs across performance, reliability, scalability, security, and cost.
• Deliver a premium customer experience: Define the capabilities and service standards customers should expect and partner with our Customers Experience team to deliver and enable that standard.
• Make disciplined investment decisions: Prioritize initiatives based on customer impact, differentiation, feasibility, and economics. Set measurable goals and use results to guide further investment.
• Own execution and outcomes: Drive initiatives from discovery through launch and adoption, with clear requirements, explicit tradeoffs, and accountability for results.

Skills

Product management

Cloud infrastructure

Developer platforms

Ownership mindset

AI product experience

Engineering collaboration

Market judgment

Analytics

Communication

Job description

Lightning AI, the company behind PyTorch Lightning, seeks a Senior Product Manager, AI Infrastructure to drive a premium NeoCloud platform. You will translate customer needs into a differentiated product strategy, partnering with engineering to advance architecture and offerings for priority verticals.

The role reports to the VP of Product and is hybrid, with offices in NYC or SF. You will lead initiatives from discovery through launch, balancing performance, reliability, cost, and scalability