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Lightning AILightning AINew York, NY

Director of Customer Experience

Lead the customer experience organization for Lightning AI's developer-first AI platform. Build and manage a global team of Technical Account Managers and Support Engineers, own strategy for onboarding through expansion, drive adoption/retention metrics, and translate customer insights to product/engineering while engaging technically with ML and infrastructure teams.

155k – 220k/yr
Hybrid10+ YOECustomer Success

About the role

What You’ll Do

  • 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 the metrics that matter, 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.

What You’ll Need

  • 10+ years of experience across customer experience, customer success, technical account management, solutions architecture, professional services, or a related customer-facing function.
  • Growth-stage, enterprise SaaS, developer platform, cloud infrastructure, or AI infrastructure environment preferred.
  • 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, ML 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. You can move comfortably 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.

Bonus Points

  • 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.

Skills

Customer Successtechnical account managementSolutions ArchitecturePyTorchKubernetesDistributed Trainingmodel servinggpu clusters
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