--- title: 'Technical Program Manager, Infrastructure Delivery at Lightning AI' canonical: 'https://feeny.ai/job/technical-program-manager-infrastructure-delivery-lightning-ai-new-york-new-york-qjry1ya7wee6' type: 'job' last_seen: '2026-09-09' --- # Technical Program Manager, Infrastructure Delivery at Lightning AI - **Company:** Lightning AI - **Location:** New York New York, United States / San Francisco California, United States - **Compensation:** $160k–$220k - **Work type:** remote - **Posted:** 2026-09-08 - **Last confirmed live:** 2026-09-09 - **Apply:** https://job-boards.greenhouse.io/lightningai/jobs/7988627003 ## Job description ## 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 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. ## About Lightning AI ## Company Overview - **One-liner**: Lightning AI provides an end-to-end cloud platform for building, training, and deploying AI models and applications, combining developer-first software with large-scale GPU infrastructure. - **Entity Type**: Private (Series unknown; merged with Voltage Park in January 2026) - **Headquarters**: New York, New York, USA - **Founded**: 2019 - **Founders**: Will Falcon (CEO) ## Core Business - **Primary industry**: Cloud AI platform, AI infrastructure, AI developer tools - **Target customers**: B2B (developers, startups, and large enterprises); also serves individual developers (B2C for open-source community) - **Mission or purpose**: Empower anyone to build AI. ## Products & Services - **[PyTorch Lightning]**: Open-source deep learning framework used by over 5 million developers; simplifies training and fine-tuning models. - **[Lightning AI Cloud Platform]**: SaaS platform for end-to-end AI development – including GPU access, model training, deployment, inference, team management, and observability. - **[GPU Infrastructure]**: Fleet of 35,000+ owned and operated H100, B200, and GB300 GPUs, available on-demand with burst capacity. ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Annual Recurring Revenue (ARR) grew from $18M to over $500M following the merger with Voltage Park (January 2026). - **Notable Investors/Partners**: Backed by Coatue, Index Ventures, Bain Capital Ventures, and Firstminute. - **Growth Signals**: Completed merger with Voltage Park in January 2026, creating the first “AI cloud”; platform used by 400,000+ developers; 200 employees globally; offices in NYC, San Francisco, Seattle, and London. ## Competitive Advantages - Only platform that bundles AI software with neocloud-priced GPU infrastructure in a single, unified experience – a category they created. - Deep open-source roots (PyTorch Lightning) give them strong developer trust and community (5M+ users). - Massive owned GPU fleet (35,000+ accelerators) with ability to burst across multiple clouds. - “Software-first and infrastructure-native” approach reduces complexity for AI teams. ## Strategic Focus - Continue to scale as the “first cloud built for AI,” eliminating the need for customers to stitch together separate tools or negotiate with dozens of GPU vendors. - Expand GPU marketplace partnerships with major cloud providers and neoclouds. - Grow enterprise adoption by offering enterprise-grade reliability and security without the overhead of hyperscaler complexity. ## Why Work Here - **Culture**: Hybrid work model (2 days/week in-office); offices in NYC, SF, Seattle, London with flexible schedules. - **Notable benefits**: Competitive compensation (RSUs), 401(k) matching, paid parental/family leave, four-week sabbatical after four years, two-week company-wide winter break, wellness benefits, professional development stipend, in-office meals, and home-office stipend for remote employees. - **Engineering culture**: Emphasis on craftsmanship, simplicity, speed, and principled execution. Encourages contributions to open source. “Move fast with precision” – focus on completing one goal at a time. - **Growth opportunity**: Own transformative projects in a fast-growing company (ARR jumped from $18M to $500M+). Global team of 200 with a strong mission. ## Sources 1. [lightning.ai/careers](https://lightning.ai/careers) 2. [job-boards.greenhouse.io/lightningai](https://job-boards.greenhouse.io/lightningai) 3. [businesswire.com](https://www.businesswire.com/news/home/20260121371691/en/Lightning-AI-and-Voltage-Park-Complete-Merger-to-Create-the-First-Cloud-Built-for-AI) 4. [linkedin.com/company/pytorch-lightning](https://www.linkedin.com/company/pytorch-lightning) 5. [builtinnyc.com/company/lightning-ai](https://www.builtinnyc.com/company/lightning-ai) ## Other roles at Lightning AI - [Machine Learning Sales Engineer](https://feeny.ai/job/machine-learning-sales-engineer-lightning-ai-new-york-new-york-26wkg4rqwbnn) — New York New York, United States - [Partner Account Manager](https://feeny.ai/job/partner-account-manager-lightning-ai-new-york-new-york-x22r5c3hjbp0) — New York New York, United States - [Senior Infrastructure Software Engineer](https://feeny.ai/job/senior-infrastructure-software-engineer-lightning-ai-new-york-new-york-zsrtcywbn2k0) — New York New York, United States - [Senior People Partner, Non-Tech](https://feeny.ai/job/senior-people-partner-non-tech-lightning-ai-new-york-new-york-7s890g2g966b) — New York New York, United States - [Senior People Partner, Tech](https://feeny.ai/job/senior-people-partner-tech-lightning-ai-new-york-new-york-0vaja1pp8s7h) — New York New York, United States / San Francisco California, United States - [Compensation Specialist](https://feeny.ai/job/compensation-specialist-lightning-ai-new-york-new-york-267j1xkjg8ty) — New York New York, United States - [Global Head of Talent Acquisition](https://feeny.ai/job/global-head-of-talent-acquisition-lightning-ai-new-york-new-york-zgy821j0n94a) — New York New York, United States - [Technical People Operations Specialist](https://feeny.ai/job/technical-people-operations-specialist-lightning-ai-new-york-new-york-q950d6f44xe6) — New York New York, United States - [GTM Operations Specialist](https://feeny.ai/job/gtm-operations-specialist-lightning-ai-new-york-new-york-cbxwxq1y56s1) — New York New York, United States - [Data Scientist](https://feeny.ai/job/data-scientist-lightning-ai-new-york-new-york-2sm46ew633dz) — New York New York, United States