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Lightning AI

Cloud-based AI development and deployment platform

Director of Customer Experience

Customer ExperienceUpdated on Nov 6
Full-timeNew York, NY, USA

About the Job

Requirements

  • 10+ years of experience across customer experience, customer success, technical account management, solutions architecture, professional services, or a related customer-facing function.
  • A proven track record of building or scaling customer experience organizations supporting technically complex products.
  • Strong technical fluency and the ability to engage credibly with engineering leaders, machine learning engineers, AI researchers, infrastructure teams, and enterprise platform organizations.
  • A record of improving customer adoption, retention, account health, and operational execution through clear systems and measurable goals.
  • Strong judgment during high-pressure customer escalations, including the ability to create clarity, align internal teams, and communicate directly with senior stakeholders.
  • Excellent written and verbal communication skills, with the ability to move between a technical incident review, an executive customer conversation, an internal product discussion, and a team operating review.
  • Strong cross-functional influence, particularly with Product, Engineering, Infrastructure, Sales, and Finance.
  • A high bias for action and comfort operating in an ambiguous, fast-moving environment with limited process and significant ownership.
  • The ability to think strategically while remaining close to customers, team execution, and operational details.

Responsibilities

  • Define and own Lightning AI’s customer experience strategy across onboarding, implementation, adoption, technical success, support coordination, retention, and expansion.
  • Build, lead, and develop a high-performing global team of Technical Account Managers and Support Engineers.
  • Establish account-health frameworks that combine product usage, platform reliability, workload performance, customer sentiment, support activity, and commercial risk.
  • Create clear escalation and incident-management processes that provide customers with fast response times, strong ownership, seamless internal coordination, and proactive communication.
  • Define and track metrics including time to value, activation, platform adoption, workload growth, retention, expansion, customer health, resolution time, and customer satisfaction.
  • Turn customer conversations and usage patterns into actionable insights for Product and Engineering.
  • Scale the function thoughtfully, balancing high-touch customer engagement with automation, self-service resources, and repeatable programs.

Desired Qualifications

  • Experience in a growth-stage, enterprise SaaS, developer platform, cloud infrastructure, or AI infrastructure environment.
  • Familiarity with PyTorch, distributed training, model serving, inference, Kubernetes, Slurm, GPU clusters, or modern AI development workflows.
  • Experience supporting both product-led and enterprise sales motions.
  • Experience building global or follow-the-sun customer coverage models.
  • Experience developing AI-powered customer operations, automation, self-service tooling, or customer intelligence systems.

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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