Note: The job is a remote job and is open to candidates in USA. Lightning AI builds an end-to-end platform for developing, training, and deploying AI systems. The Technical Program Manager will own infrastructure delivery workstreams and coordinate execution across engineering, operations, vendors, and external partners, progressively taking on responsibility for end-to-end datacenter and AI infrastructure programs.
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 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
Skills
- * 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
- * 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
Benefits
- A discretionary bonus
- Meaningful equity: RSUs that give employees a stake in the company's long-term success.
- Medical, dental, and vision coverage for employees and eligible dependents.
- 401(k) matching (U.S.)
- Pension contributions (U.K.)
- Unlimited PTO, company holidays, and floating holidays
- Two weeks of company closure each winter
- Paid parental and family leave
- Annual learning and development allowance
- Wellness and work-from-home stipends
- Four weeks of paid sabbatical leave after four years of service
- Flexible schedules and a hybrid work model for office-based teams
- Complimentary meals at office hubs
Company Overview
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