Lightning AI seeks a Senior Technical Program Manager to lead complex infrastructure programs including network builds, datacenter expansions, and hardware rollouts. The role involves driving execution across multiple workstreams and partnering with engineering and operations teams.
FP&A Manager at Lightning AI, a hybrid role based in New York City or San Francisco, leads financial planning and analysis after the merger with Voltage Park, building models, forecasts, and reporting for the AI cloud platform.
The Sales Development Representative role at Lightning AI involves outbound prospecting, lead qualification, and pipeline building for the company's AI platform, working from the New York City office with a hybrid schedule.
Lightning AI is hiring a Revenue Enablement Manager (Account Executive) to drive customer acquisition for its developer-focused AI platform. This hybrid role in Palo Alto, CA involves outbound prospecting, closing deals, and collaborating with product teams. Requires 5+ years of sales experience and familiarity with AI/ML ecosystem.
Lightning AI seeks an Observability Infrastructure Engineer to own and evolve observability systems across large-scale GPU-enabled infrastructure, building platforms for metrics, logs, traces, and alerting. The role involves productizing observability for internal and customer-facing use. Based in NYC, SF, Seattle, or London with hybrid work.
Lightning AI is hiring a Storage Infrastructure Engineer to build and operate distributed storage systems for large-scale AI/ML workloads. The role involves scaling VAST and Ceph storage, developing automation, and collaborating across infrastructure teams. This hybrid position is based in multiple US/UK offices.
Lightning AI seeks a GPU & Compute Infrastructure Engineer to own image management, system diagnostics, and validation across large-scale bare-metal compute infrastructure. The role involves developing automation, improving reliability, and enabling efficient cluster bring-up for AI/ML and HPC workloads. This is a hybrid role based in NYC, SF, Seattle, or London.
Lightning AI is seeking a Senior Backend Engineer to build control planes and automation for managing Kubernetes and Slurm clusters across a large-scale GPU infrastructure. This hybrid role is based in NYC, SF, or Seattle.
Senior Operations Specialist at Lightning AI will own end‑to‑end projects, embed with cross‑functional teams, and build AI‑driven internal tools to accelerate company growth.
Senior Operations Specialist at Lightning AI will own cross-functional projects, build AI-driven internal tools, and improve operational efficiency across the company. The role requires 4+ years of operations experience, strong analytical skills, and ability to implement end-to-end automations.
Senior Product Manager will own the end‑to‑end product vision and roadmap for Lightning AI’s experimentation and developer tooling, including pricing, packaging, and developer experience. The role involves defining workflow layers for ML experimentation, evaluating model quality, and collaborating with sales and growth teams.
The AI Platform Support Engineer at Lightning AI will work with the US Customer Experience team to support ML engineers running large-scale training and inference workloads on cloud, Kubernetes, and GPU platforms. The role involves diagnosing complex distributed systems issues, improving reliability, and providing technical guidance rather than routine ticket handling.
Machine Learning Solutions Engineer focusing on ML and Infrastructure to join Lightning AI's Sales team, designing and deploying end-to-end AI systems, architecting GPU clusters, and leading technical demos and POCs.
Platform Support Engineer at Lightning AI troubleshoots large‑scale ML infrastructure, Kubernetes, and GPU workloads. Hybrid role in Seattle or San Francisco.
Senior People Partner at Lightning AI, hybrid role in San Francisco, $180k-$200k salary, supporting senior leaders in org design, talent decisions, and employee relations.
The Director of Legal Operations at Lightning AI will lead the legal team's operational strategy, manage metrics and reporting, implement legal technology, and partner with finance, people, engineering, and infrastructure functions to scale the legal function. This senior role drives structure and outcomes in a fast‑growing AI company.
Lightning AI seeks an Observability Infrastructure Engineer to own and evolve observability platforms for large-scale GPU-enabled infrastructure, design telemetry pipelines, improve alerting, and collaborate cross-functionally.
The Senior Application Security Engineer will secure Lightning AI's AI and ML infrastructure, including threat modeling, architecture reviews, and protection of inference services. They will collaborate with ML and platform teams to embed security controls across the AI pipeline.
Machine Learning Solutions Engineer focusing on ML and infrastructure, partnering with customers to design and deploy end-to-end AI systems on Lightning AI's platform.
Infrastructure Engineer (GPU & Compute) at Lightning AI will own image management, system diagnostics, and validation for large‑scale GPU‑enabled compute infrastructure. The role involves building automation, supporting AI/ML and HPC workloads, and can be hybrid or fully remote within the U.S.
