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Lightning AI

Director of Customer Experience

Lightning AI

. Define and own Lightning AI’s customer experience strategy across onboarding, implementation, adoption, technical success, support coordination, retention, and expansion .

Posted 10/1/2026full-timeNew York City • New York • United StatesLead💰 $155,000 - $220,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in defining and executing customer experience strategies, with a strong focus on customer success, technical account management, and operational excellence in complex environments. Proven ability to lead cross-functional teams and drive customer adoption, retention, and satisfaction through data-driven insights and strategic initiatives.

Highest-signal resume keywords
Customer Experience StrategyTechnical Account ManagementCustomer Success MetricsCross-Functional CollaborationAI-Powered Customer Operations

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Customer SuccessTechnical Account ManagementSolutions ArchitectureOperational ExecutionAccount Health FrameworksIncident ManagementCustomer Adoption ImprovementData AnalysisMetrics TrackingAutomation
Soft Skills
Excellent CommunicationStrong JudgmentCross-Functional InfluenceHigh Bias for ActionStrategic Thinking
Tools & Technologies
PyTorchKubernetesGPU ClustersDistributed TrainingModel ServingInferenceCustomer Intelligence SystemsSelf-Service Tooling
Industry Keywords
Enterprise SaaSCloud InfrastructureAI InfrastructureGrowth-Stage EnvironmentCustomer Engagement

Tech Stack

Tools & technologies
CloudKubernetesPyTorch

About the role

Key responsibilities & impact
  • 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 global team of Technical Account Managers and Support Engineers
  • Establish account-health frameworks combining product usage, platform reliability, workload performance, customer sentiment, support activity, and commercial risk
  • Create escalation and incident-management processes with fast response times, clear ownership, 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 through customer engagement, automation, self-service resources, and repeatable programs
  • Advise executives on retention, risk, adoption, and account health
  • Partner across customers, Engineering, Product, Sales, and Infrastructure

Requirements

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, but not required
  • Proven track record of building or scaling customer experience organizations supporting technically complex products
  • Strong technical fluency and ability to engage credibly with engineering leaders, ML engineers, AI researchers, infrastructure teams, and enterprise platform organizations
  • Record of improving customer adoption, retention, account health, and operational execution through clear systems and measurable goals
  • Strong judgment during high-pressure customer escalations
  • Excellent written and verbal communication skills
  • Strong cross-functional influence with Product, Engineering, Infrastructure, Sales, and Finance
  • High bias for action and comfort operating in an ambiguous, fast-moving environment
  • Ability to think strategically while remaining close to customers, team execution, and operational details
  • Familiarity with PyTorch, distributed training, model serving, inference, Kubernetes, Slurm, GPU clusters, or modern AI development workflows (bonus)
  • Experience supporting both product-led and enterprise sales motions (bonus)
  • Experience building global or follow-the-sun customer coverage models (bonus)
  • Experience developing AI-powered customer operations, automation, self-service tooling, or customer intelligence systems (bonus)

Benefits

Comp & perks
  • Medical, dental, and vision coverage for employees and eligible dependents
  • RSUs
  • 401(k) matching (U.S.) and pension contributions (U.K.)
  • Unlimited PTO, company holidays, and floating holidays
  • Two weeks of company closure each winter
  • Paid parental and family leave
  • Annual learning and development allowance
  • Wellness and work-from-home stipends
  • Four weeks of paid sabbatical leave after four years of service
  • Flexible schedules and a hybrid work model for office-based teams
  • Complimentary meals at office hubs
  • Discretionary bonus
  • Meaningful equity component