仕事内容
<div class="content-intro"><h2><strong>Who We Are</strong></h2>
<p>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.</p>
<p>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.</p>
<p>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.</p>
<div class="c-message_actions__container c-message__actions"> </div></div><h2><strong>What We're Looking For</strong></h2>
<p>We’re looking for a <strong>Senior Product Manager</strong> to own Lightning AI’s experimentation and post-training product end to end—from product strategy and roadmap through launch, adoption, pricing, and go-to-market.</p>
<p>This is a role focused on how AI researchers and engineers turn an idea into a high-quality, validated model. You’ll define the workflow for running and comparing experiments, managing fine-tuning and reinforcement-learning workloads, evaluating model quality, understanding failures, and selecting the right model or checkpoint for production.</p>
<p>You’ll work at the intersection of developer tooling, AI infrastructure, and model quality. The right candidate understands how modern AI teams work today: notebooks, training jobs, experiment trackers, checkpoints, evaluation suites, spreadsheets, and custom internal tooling. You can identify where those workflows break down and turn them into a cohesive, minimal product experience.</p>
<p>You should be able to move fluidly between designing