Technical Program Manager, Infrastructure Delivery

Who We Are

Lightning AI is the company behind PyTorch Lightning. Founded in 2019, we build an end-to-end platform for developing, training, and deploying AI systems, designed to take ideas from research to production with less friction.

Through our merger with Voltage Park, a neocloud and AI Factory, Lightning AI combines developer-first software with cost-efficient, large-scale compute. Teams get the tools they need for experimentation, training, and production inference, with built-in security, observability, and control.

We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London.

About the Role

We are seeking a Technical Program Manager to join our Infrastructure Delivery team and help drive programs across compute, network, storage, hardware, platform engineering, and data center operations.

You'll work alongside Senior Infrastructure TPMs on complex datacenter and AI infrastructure deployments, taking direct ownership of defined workstreams while developing broader end-to-end infrastructure expertise. Over time, you'll expand your scope to independently lead programs from datacenter readiness through compute deployment to customer handoff.

You do not need to have already led a large-scale GPU cluster deployment or a greenfield data center build. We're looking for strong infrastructure experience, solid TPM fundamentals, technical curiosity, and the ability to learn new domains quickly.

What You’ll Do

• Own defined infrastructure workstreams, milestones, dependencies, risks, decisions, and deliverables within larger programs
• Drive day-to-day execution across engineering, operations, vendors, and external partners
• Build and maintain project plans, critical paths, dependencies, RAID, and execution status
• Coordinate across Infrastructure Engineering, Network, DC Operations, Platform, Security, Hardware, and other teams
• Connect engineering execution in Jira to broader infrastructure milestones and delivery commitments
• Identify blockers and cross-functional dependencies early and drive them through resolution
• Support hardware deployments, network and storage initiatives, datacenter expansions, migrations, and capacity growth
• Develop enough technical depth across workstreams to ask the right questions, understand dependencies, and challenge delivery assumptions
• Provide clear, concise updates on progress, risks, decisions, and mitigation plans
• Help improve Infra Delivery processes, tooling, documentation, and execution frameworks
• Progressively take on broader scope toward independently leading end-to-end infrastructure programs

Who You Are

• 5+ years of experience in Technical Program Management, infrastructure program/project management, or similar
• Experience driving programs within infrastructure, cloud, platform, SRE, systems, networking, hardware, or datacenter environments
• Strong program management fundamentals, including project planning, milestones, critical path, dependencies, RAID logs, and stakeholder management
• Able to understand technical architecture, requirements, and dependencies without needing to be the engineer implementing them
• Proven ability to drive execution across multiple technical teams without direct authority
• Comfortable getting into the details while maintaining visibility into the broader program outcome
• Strong communicator who creates clarity across engineering, operations, vendors, and leadership
• Comfortable operating where requirements, priorities, ownership, and processes are evolving
• High learning agility and interest in developing expertise across datacenter and AI infrastructure

Ideal Experience

• Experience supporting compute, network, storage, cloud infrastructure, hardware deployment, or capacity expansion programs
• Experience working with hardware vendors, colocation providers, VARs, or external partners
• Experience coordinating programs through Smartsheet 
• Experience coordinating engineering execution through Jira
• Familiarity with infrastructure capacity planning or hardware lifecycle management
• Exposure to GPU infrastructure, AI/ML infrastructure, HPC, or distributed systems
• Experience in a startup, high-growth company, or similarly fast-moving technical environment