
11 - 50 employees
🤖 Artificial Intelligence
☁️ SaaS
Artificial Intelligence • SaaS
Lightning AI is a platform designed to build machine learning models and publish Lightning Apps, which are templates that integrate various ML lifecycle tools. The company specializes in artificial intelligence, machine learning, infrastructure, deep learning, and data science, positioning itself as a tool to expedite the ML development process from months to days.
🔥 1 minute ago
🏄 California, New York – Remote
💵 $160k - $220k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🔧 Technical Program Manager
🦅 H1B Visa Sponsor
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11 - 50 employees
🤖 Artificial Intelligence
☁️ SaaS
Artificial Intelligence • SaaS
Lightning AI is a platform designed to build machine learning models and publish Lightning Apps, which are templates that integrate various ML lifecycle tools. The company specializes in artificial intelligence, machine learning, infrastructure, deep learning, and data science, positioning itself as a tool to expedite the ML development process from months to days.
• 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 understand dependencies and challenge delivery assumptions • Provide concise updates on progress, risks, decisions, and mitigation plans • Improve Infrastructure 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 • Ability to understand technical architecture, requirements, and dependencies without implementing them • Proven ability to drive execution across multiple technical teams without direct authority • Comfortable working in detail while maintaining visibility into broader program outcomes • Strong communication across engineering, operations, vendors, and leadership • Comfortable operating with evolving requirements, priorities, ownership, and processes • High learning agility and interest in datacenter and AI infrastructure • Experience supporting compute, network, storage, cloud infrastructure, hardware deployment, or capacity expansion programs • Experience 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
• Medical, dental, and vision coverage for employees and eligible dependents • RSUs • 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 stipend • Work-from-home stipend • Four weeks of paid sabbatical leave after four years of service • Flexible schedules • Hybrid work model for office-based teams • Complimentary meals at office hubs
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