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Lightning AI

Cloud-based AI development and deployment platform

Staff Developer Advocate

Developer Relations & AdvocacyConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • At least 10 years of experience in Developer Relations, Developer Advocacy, Solutions Engineering, or Software Engineering within infrastructure, developer tools, and AI/ML technologies.
  • Deep hands-on expertise in Python, PyTorch, TensorFlow, and modern AI/ML frameworks such as large language models, distributed training, vLLM, Hugging Face, and CUDA.
  • A solid understanding of cloud infrastructure, GPUs, distributed systems, AI model deployment workflows, and agentic development.
  • Exceptional public speaking and technical storytelling skills, with a proven track record of keynote speaking, podcasting, community building, and technical content creation for international audiences.
  • Experience developing technology solutions and evangelizing end-to-end technology roadmaps that guide IT transformations toward cloud computing.
  • Ability to work autonomously and manage multiple initiatives across different technical communities.
  • Ability to travel, including internationally when needed.

Responsibilities

  • Create educational technical content, including deep-dive tutorials, code samples, technical blogs, and reference architectures showcasing Lightning AI products.
  • Increase awareness of Lightning AI by engaging AI/ML and developer communities through keynote presentations, technical workshops, hackathons, and developer conferences.
  • Champion customer feedback to product and engineering teams, advocating for developer feedback and influencing product roadmaps and developer experience.
  • Attend and speak regularly at third-party technology conferences, shows, and press events to build industry recognition and credibility.
  • Mentor junior developer advocates and community managers, fostering a collaborative, high-performing Developer Relations culture grounded in technical depth and developer empathy.
  • Establish experimentation and AI-native automation as core operating principles and develop testing frameworks across content formats, channels, and topics.

About the Company

Lightning AI

Cloud-based AI development and deployment platform

Lightning AI builds a cloud-based platform for AI development that covers the full lifecycle from ideation to deployment. It provides a browser-based environment called AI Studio, a virtual laptop with persistent storage and configurable environments, enabling users to code on CPUs, debug on GPUs, and scale to multi-node deployments without local setup. The platform supports tools like PyTorch Lightning, Fabric, Lit-GPT, and torchmetrics to help data scientists and developers prototype, train on GPUs, and optimize models. Pricing is subscription-based, targeting enterprises and individual developers who need robust, scalable AI development capabilities. The goal is to streamline AI creation and deployment by simplifying access to compute, tooling, and scalable infrastructure in one cloud-based workspace.

Company size
201-500
Company stage
Late Stage VC
Total funding
$108.6M
Headquarters
New York City, New York
Founded
2015

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