Lightning AI
Technical Program Manager, Infrastructure Delivery
New York, New York, United States · Remote · San Francisco, California, United States
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hirly's read of this role
- Role family
- Operations
- Seniority
- Lead / management
- Stated salary
- $160,000 – $220,000 per year
- Country
- US
- Work mode
- Remote-friendly
- First seen by hirly
- 15 Sept 2026
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the posting
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 security, observability, and control built in.
We serve solo researchers, startups, and large enterprises. Lightning AI operates globally with offices in New York City, San Francisco, Seattle, and London, and is backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute.
The Way We Work
The people who thrive here are builders who move fast, communicate openly, take ownership, and continuously improve themselves, their teams, and our company. Here's what that looks like in practice:
Move with Urgency: We move quickly, make thoughtful decisions, and keep momentum. We value action over perfection and learn by shipping.
Take Ownership: We own outcomes, not just our individual work. We make decisions that move the company forward and follow through.
Communicate Openly: We communicate directly, seek to understand, and create clarity for others. Honest conversations help us move faster together.
Build Great Teams: We lead by example, empower others, and create healthy teams where people can do their best work.
Raise the Bar: We're always improving ourselves. We learn from feedback, consistently challenge ourselves to grow, and focus on the work that matters most.
Think Long-Term: We design for what's next. We create scalable systems, simplify complexity, and use AI and automation to amplify our impact.
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
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.
The anticipated annual base salary range for this role is:
$160,000 — $220,000 USD
Benefits and Perks
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
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