Technical Program Manager, Infrastructure Delivery

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.

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.

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

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

We are committed to offering competitive compensation that reflects the value each team member brings to our mission. Final offers are based on factors such as experience, skills, geographic location, and role expectations. In addition to base salary, our total rewards package for eligible roles includes a discretionary bonus, a meaningful equity component, and comprehensive benefits.

We offer a comprehensive and competitive benefits package designed to support our employees’ health, well-being, and long-term success:

Comprehensive Health Coverage: Medical, dental, and vision coverage for employees and eligible dependents.

Meaningful Equity: RSUs that give employees a stake in the company's long-term success.

Retirement Savings: 401(k) matching (U.S.) and pension contributions (U.K.).

Flexible Time Off: Unlimited PTO, company holidays, and floating holidays to support work-life balance.

Company-Wide Winter Break: Two weeks of company closure each winter to disconnect and recharge.

Paid Parental & Family Leave: Paid leave to support you and your family through life's important moments.

Professional Development: Annual learning and development allowance to support your professional growth.

Wellness Benefits: Wellness and work-from-home stipends to support your physical and mental well-being.

Sabbatical Program: Four weeks of paid sabbatical leave after four years of service.

Flexible Work: Flexible schedules and a hybrid work model for our office-based teams.

In-Office Meals: Complimentary meals at our office hubs.

Benefits may vary by location, team, and role.

At Lightning AI, we are committed to fostering an inclusive and diverse workplace. We believe that diverse teams drive innovation and create better products. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We are dedicated to building a culture where everyone can thrive and contribute to their fullest potential.