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Lightning AI

Cloud-based AI development and deployment platform

Technical Program Manager - Infrastructure Delivery

Program ManagementConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 5 years of experience in Technical Program Management, infrastructure program or project management, or a similar field.
  • Experience driving programs in infrastructure, cloud, platform, site reliability engineering, systems, networking, hardware, or datacenter environments.
  • Strong program management fundamentals, including project planning, milestones, critical paths, dependencies, RAID logs, and stakeholder management.
  • Ability to understand technical architecture, requirements, and dependencies without implementing them as an engineer.
  • Ability to drive execution across multiple technical teams without direct authority.
  • Ability to work through details while maintaining visibility into broader program outcomes.
  • Ability to communicate clearly across engineering, operations, vendors, and leadership.
  • Comfort operating while requirements, priorities, ownership, and processes evolve.
  • High learning agility and interest in developing expertise across datacenter and AI infrastructure.

Responsibilities

  • 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 technical depth across workstreams to ask informed questions, understand dependencies, and challenge delivery assumptions.
  • Provide clear updates on progress, risks, decisions, and mitigation plans.
  • Improve Infrastructure Delivery processes, tooling, documentation, and execution frameworks.
  • Progressively assume broader scope toward independently leading end-to-end infrastructure programs.

Desired Qualifications

  • Experience supporting compute, network, storage, cloud infrastructure, hardware deployment, or capacity expansion programs.
  • Experience working with hardware vendors, colocation providers, value-added resellers, 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, high-performance computing, or distributed systems.
  • Experience in a startup, high-growth company, or similarly fast-moving technical environment.

About the Company

Lightning AI

Cloud-based AI development and deployment platform

Lightning AI builds a cloud-based platform for AI development that covers the full lifecycle from ideation to deployment. It provides a browser-based environment called AI Studio, a virtual laptop with persistent storage and configurable environments, enabling users to code on CPUs, debug on GPUs, and scale to multi-node deployments without local setup. The platform supports tools like PyTorch Lightning, Fabric, Lit-GPT, and torchmetrics to help data scientists and developers prototype, train on GPUs, and optimize models. Pricing is subscription-based, targeting enterprises and individual developers who need robust, scalable AI development capabilities. The goal is to streamline AI creation and deployment by simplifying access to compute, tooling, and scalable infrastructure in one cloud-based workspace.

Company size
201-500
Company stage
Late Stage VC
Total funding
$108.6M
Headquarters
New York City, New York
Founded
2015

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