Top Tech Jobs & Startup Jobs

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.

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.

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.

Supports strategic finance, corporate development, and FP&A through pricing, unit economics, ROI, GPU financing, M&A diligence, forecasting, planning, reporting, and financial modeling. The role partners with Sales, Marketing, Product, Infrastructure Operations, lenders, investors, and leadership to inform capital allocation, business performance, and growth decisions. It is hybrid in San Francisco with two in-office days weekly.

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.

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.

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.