New York, NY
AI cloud platform for building and deploying models
Lightning AI builds an end-to-end platform including AI Studio for coding, training, and deploying AI models from the browser with zero setup, powered by PyTorch Lightning. It serves developers and AI teams needing GPU infrastructure, distributed training, and inference. This enables fast iteration and scaling of AI products without infrastructure management hassles.
Own monthly/quarterly revenue close and ASC 606 accounting for consumption-based GPU cloud contracts. Manage CRM-to-cash data flow, billing/AR operations, and build scalable revenue processes.
Leads the corporate tax function for a multi-entity AI infrastructure company, overseeing compliance, ASC 740 tax accounting, M&A support, property and indirect taxes, and tax risk management. Requires 8+ years of corporate tax experience and strong U.S. federal, state, and multi-state expertise.
Own full-cycle accounts payable, procure-to-pay operations, capital expenditure tracking, accruals, and compliance for infrastructure spend at a high-growth AI company. Requires 4+ years AP/P2P experience, bachelor's in accounting/finance, and strong controls mindset in a capital-intensive environment.
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.
Lead and scale the Customer Success function at Lightning AI. Build CS processes, manage a team of CSMs/TAMs, drive adoption/retention/expansion for technical AI customers, and partner with Product, Engineering, and Sales leadership.
Lead, coach, and scale an SDR team to generate high-quality enterprise pipeline for AI and technical products through disciplined outbound motions, playbooks, and detailed coaching of early-career sellers. Requires 4+ years B2B sales experience including 1+ year managing SDRs.
VP of Strategy and Operations partnering with the CEO and executive team to define strategic direction, evaluate growth opportunities, track metrics, lead cross-functional initiatives, improve operational efficiency, and align teams across Product, Sales, Engineering, Finance, and Customer Success for scalable growth.
Lead and scale the Solutions Engineering organization to support enterprise sales, technical evaluations, and customer expansion for Lightning AI's AI infrastructure and ML platform. Requires 12+ years in technical pre-sales leadership with 5+ years managing field teams, deep enterprise selling expertise, and strong cross-functional partnership skills.
Lead and scale an enterprise sales team selling AI infrastructure and developer platforms to technical buyers (ML, infrastructure, engineering leaders). Own pipeline, forecasting, coaching on complex deals, and building repeatable GTM processes in a fast-paced startup.
Design, build, and operate backend services and control planes in Go or Python to manage Kubernetes and Slurm clusters on large-scale GPU infrastructure. Requires significant production backend experience and deep hands-on expertise with Kubernetes or Slurm.
Revenue Enablement Manager responsible for outbound prospecting, lead qualification, pipeline building, and collaborating with product/engineering/marketing to optimize sales processes for technical AI/ML products. Requires 5+ years in sales roles closing technical deals, CRM proficiency, and familiarity with AI ecosystems.
Senior Network Engineer responsible for designing, deploying, and optimizing large-scale NVIDIA InfiniBand fabrics and UFM for AI/ML GPU clusters. Requires 10+ years data center networking experience with deep expertise in InfiniBand, spine-leaf architectures, automation, and HPC environments.
Senior Product Designer collaborating with product and engineering teams to craft user journeys, prototypes, and interfaces for an AI platform. Requires 5+ years designing technical/B2C products, strong portfolio, Figma proficiency, and familiarity with AI/ML concepts.
Maintain and troubleshoot hardware, servers, storage, and networking in data centers. Rack, cable, configure infrastructure; diagnose issues; create documentation and standards. Requires 2+ years data center experience, strong Linux skills, networking knowledge.
Senior Operations Specialist embedding with teams at Lightning AI to identify friction, build and deploy AI-powered internal tools, automations, and scalable workflows. Requires 4+ years ops experience, end-to-end project ownership, and hands-on skills building AI agents and automations.
Lead complex cross-functional infrastructure programs spanning network, compute, storage, datacenter, and hardware rollouts. Requires 8+ years TPM experience in infrastructure/cloud/distributed systems, strong program planning, dependency/risk management, and ability to drive execution across engineering and operations teams in ambiguous environments.
Lead data engineering and analytics engineering teams to design and own ETL/ELT pipelines, data modeling, quality, and governance. Requires 10+ years data engineering experience including 4+ years managing teams, deep expertise in SQL/Python/modern data stack, and partnering with DS/Product/Eng.
Manages on-site IT asset lifecycle, inventory, shipping/receiving, and vendor access at a data center location. Requires strong organizational skills, spreadsheet/database experience, and comfort working independently in technical environments.
Design and operate large-scale AI data center networks using spine-leaf architectures, EVPN/VXLAN, BGP, and automation tools. Requires 5+ years of data center networking experience and hands-on work with Cumulus NOS, SONiC, and Junos.
Lead full-cycle technical recruiting for AI engineering, infrastructure, and product teams at a high-growth tech company. Requires 7+ years recruiting software engineers and strong ATS and community engagement experience.
Monitor data center systems, triage alerts, follow runbooks, and escalate issues to hardware/network/SRE teams in a 24/7 operations environment. Requires basic Linux/IT familiarity and strong attention to detail.
Monitor and troubleshoot Linux systems, network connectivity, and hardware in data centers. Diagnose issues, triage incidents, and document findings for hardware, network, and SRE teams.
Support ML infrastructure at scale: troubleshoot Kubernetes, GPU clusters, and distributed training systems while collaborating directly with engineering teams and customers.
Forward Deployed Engineer who partners with customers to design, implement, and deploy production AI systems and workflows. Requires strong Python experience, customer-facing technical roles, and familiarity with AI/ML infrastructure and deployment.
Design, build, and maintain infrastructure platforms using Linux, AWS, Kubernetes, Terraform, and Ansible to support internal and customer-facing services. Participate in on-call rotations and collaborate across engineering and operations teams.
Leads growth initiatives for AI inference products, running experiments on onboarding, pricing, and messaging to boost activation, retention, and viral loops for developer users. Requires 5+ years PM experience, strong analytics, and AI/ML curiosity.
Owns GPU diagnostics, validation workflows, and automation for bare-metal infrastructure supporting AI/ML workloads. Requires 5+ years in systems engineering with strong Linux, Python, and NVIDIA tools expertise.
Operate and scale distributed storage systems like VAST and Ceph for AI/ML workloads, build Python automation tools, manage Linux bare-metal systems, and collaborate on infrastructure optimizations. Requires 5+ years in infrastructure engineering with storage expertise.
Secures AI/ML systems through threat modeling, architecture reviews, and securing inference pipelines, APIs, and model supply chains. Partners with ML engineers to embed security in training, deployment, and multi-tenant workloads while building automation tooling.
Designs and implements network security architectures using firewalls, VPNs, and IDS/IPS. Conducts vulnerability assessments, monitors threats with SIEM tools, ensures compliance, and automates security responses. Requires expertise in security tools and certifications like CISSP.
Build features and improve performance using React and Go/Python in a SaaS environment. Partner on product development, own end-to-end features, mentor engineers, and maintain high code quality standards.
Build scalable backend systems in Go for a SaaS product, partnering with product leaders to deliver features, improve performance, and mentor engineers. Requires extensive Go experience, cloud platforms, and end-to-end ownership in high-uncertainty environments.
Sells technical and developer-focused products to technical audiences through outbound prospecting, lead qualification, demos, and closing deals to exceed revenue targets. Requires 5+ years sales experience, familiarity with AI/ML ecosystem, and proficiency in HubSpot and sales methodologies.
Conduct outbound prospecting to generate and qualify sales leads, build pipeline, and exceed quotas using CRM tools. Requires 1-3 years sales development experience, preferably in tech/AI, with strong communication skills.
Develops performance optimizations for ML models across graph, kernel, and system levels using PyTorch and Thunder compiler. Builds tools, collaborates with partners, and contributes to open-source while requiring strong PyTorch expertise and optimization experience.