Jobs at Lightning AI

Own revenue accounting and accounts receivable close processes for a consumption-based GPU cloud business. Serve as the ASC 606 technical owner, manage CRM-to-cash data flows, billing, collections, reconciliations, contract costs, and audit support. Build scalable CRM, billing, and ERP integrations, controls, and procedures while partnering with Sales, RevOps, Customer Success, Deal Desk, and Legal.

Leads global marketing operations and MarTech strategy, including architecture, vendor management, data governance, lead and account lifecycle processes, attribution, reporting, campaign workflows, and PLG integrations. Partners with sales and marketing teams to improve funnel performance and ROI, manages budgets and procurement, and builds a high-performing Marketing Operations team. The role is hybrid in San Francisco or New York City with two in-office days weekly.

Secure AI, machine learning, inference, and developer platforms through threat modeling, architecture and code reviews, secure API and distributed-system design, model and supply-chain security, and security automation. Build controls for authentication, authorization, isolation, rate limiting, monitoring, anomaly detection, CI/CD scanning, and protection against prompt injection, model extraction, adversarial inputs, and data leakage. Partner closely with ML, platform, infrastructure, engineering leadership, and the CISO.

Lead and scale an enterprise Account Executive team selling AI infrastructure, developer platforms, compute, and related solutions. Own pipeline generation, forecasting, deal inspection, quota attainment, territory planning, and enterprise sales methodology. Coach sellers through complex technical sales involving ML, infrastructure, engineering, procurement, finance, and executive stakeholders. Build repeatable go-to-market processes, partner cross-functionally, shape product positioning, recruit talent, and develop the enterprise sales playbook.

Own enterprise product strategy and customer outcomes for Lightning AI's AI infrastructure platform. Identify high-value opportunities, translate technical user needs into product requirements, remove adoption blockers, and partner with Engineering, Sales, Customer Success, Marketing, and Design. Drive integrations, APIs, workflows, instrumentation, and enterprise expansion while coaching engineering teams and delivering intuitive products for developers.

The VP of Strategic Finance will lead financial planning, long-range modeling, capital allocation, pricing and unit economics, fundraising support, merger integration, corporate development, and executive and board reporting. The role partners with technical and commercial leaders to guide investments, budgets, infrastructure expansion, and growth strategy while building and managing the FP&A and strategic finance team.

Designs and implements microservices-based platform services, RESTful APIs, backend systems, infrastructure automation, and cloud integrations. Responsibilities include architecture planning, monitoring and alerting, production troubleshooting, disaster recovery, performance optimization, code reviews, mentoring, and sprint planning. The role requires extensive experience with backend and distributed systems, cloud platforms, Kubernetes, microservices, programming languages, infrastructure as code, networking, security, and scalability.

Designs and implements microservices-based platform services, RESTful APIs, backend systems, infrastructure automation, and cloud integrations. Responsibilities include architecture planning, monitoring and alerting, production troubleshooting, disaster recovery, performance optimization, code review, mentoring, and participation in technical planning. Requires strong experience with distributed systems, AWS, GCP or Azure, Kubernetes, microservices, programming in Go, Python or Java, infrastructure as code, networking, security, and scalability.

Operate and scale GPU infrastructure platforms across Linux, bare-metal, cloud, and Kubernetes environments. Design reliable platforms, automate provisioning and operational workflows, deploy improvements, manage observability, respond to incidents, and participate in on-call rotations. Collaborate with infrastructure, networking, customer success, and software teams while troubleshooting complex systems and balancing design, risk, cost, and business outcomes.

Support ML engineering teams running production training and inference workloads across Kubernetes, cloud, Linux, and GPU infrastructure. Diagnose distributed PyTorch, CUDA, NCCL, networking, storage, scheduling, and performance issues; analyze observability data; advise customers during incidents; and improve reliability through tooling, automation, documentation, runbooks, and operational processes. The role is hybrid in London, requires at least two office days weekly, and supports EMEA shifts.

Own customer health, adoption, retention, renewal readiness, expansion influence, and executive relationships. Build scalable customer success processes covering onboarding, success planning, business reviews, health scoring, forecasting, escalations, and expansion handoffs. Partner with Sales, Product, Engineering, Support, and other teams to improve customer outcomes, develop playbooks, provide roadmap feedback, and establish a proactive, technically informed customer success culture.

Lead product marketing for Lightning AI’s products, owning positioning, messaging, go-to-market strategy, launches, sales enablement, customer storytelling, competitive intelligence, and market insights. Partner with Product, Sales, Demand Generation, Events, and analyst relations teams to translate complex AI capabilities into compelling narratives, drive adoption and pipeline growth, and represent the company at industry events. The role requires strong technical understanding of AI, developer workflows, machine learning frameworks, and GPU infrastructure.

Lead global product and solutions marketing for an AI platform. Own positioning, messaging, market and customer insights, competitive intelligence, launches, sales enablement, customer storytelling, and growth campaigns. Partner cross-functionally with Product, Engineering, Revenue, and Marketing teams, represent the company externally, establish experimentation frameworks, and build and coach a high-performing product marketing organization.

Lead and scale Lightning AI’s global growth marketing engine across digital demand generation, paid media, webinars, email, web, ABM, product-led growth, and emerging channels. Build marketing operating models, optimize attribution and pipeline performance, establish experimentation and AI-native automation, partner cross-functionally with sales and product teams, and hire and develop a high-performing growth marketing organization.

Own the vision, roadmap, and customer experience for a GPU cloud infrastructure platform. Define provisioning, capacity, scheduling, networking, storage, workload execution, APIs, pricing, and consumption models. Partner with engineering, operations, sales, finance, customers, and executives to improve reliability, utilization, performance, and adoption. Use product and infrastructure data to guide tradeoffs and lead products from discovery through launch and iteration.

Own and scale the company’s treasury function, including cash management, liquidity forecasting, banking relationships, debt and vendor financing, covenant compliance, investments, risk management, hedging, controls, and audit support. Build treasury policies, processes, systems, and reporting across a multi-entity organization while partnering with Finance, Accounting, Legal, Tax, Operations, lenders, banks, and auditors.

Build and operate backend services, control planes, and automation for Lightning AI’s managed Kubernetes and Slurm infrastructure. Develop distributed systems for cluster provisioning, lifecycle management, scheduling, observability, reliability, and scalability across large-scale GPU environments. Diagnose complex production issues and collaborate with infrastructure, AI, and platform engineering teams. Contribute to architecture, technical design, mentoring, engineering practices, and on-call operations.

Own and scale Lightning AI’s global corporate tax function across a multi-entity organization. Lead federal, state, local, indirect, and property tax compliance; ASC 740 tax accounting; forecasting; audit support; M&A tax; risk management; and process automation. Build policies, controls, documentation, and a scalable tax operating roadmap while partnering with Finance, Accounting, FP&A, Legal, auditors, and external advisors.

Support multi-entity general ledger close activities, including journal entries, reconciliations, intercompany, payroll accruals, prepaids, fixed assets, leases, financial statements, and flux analysis. Help transform and document the close function through NetSuite implementation, process redesign, and control development. Support external audits and maintain accurate, auditable accounting records.

Designs, deploys, automates, and operates large-scale NVIDIA InfiniBand fabrics for GPU clusters. Manages UFM, switches, firmware, congestion control, routing, QoS, observability, troubleshooting, capacity planning, and incident response. Collaborates with AI platform, GPU infrastructure, storage, and systems teams to build reliable AI Factory environments.