Luma AI

Build and scale distributed reinforcement learning infrastructure for post-training large multimodal foundation models, including rollout generation, environments, rewards, and evaluation systems for agentic tasks.

Account Executive responsible for pioneering Luma's sales into the Entertainment vertical by leveraging Hollywood networks to close complex deals with studios and production houses. Requires 6+ years of quota-carrying sales experience in entertainment with deep industry relationships.

Tech Lead Manager to hands-on lead the inference platform team at Luma AI. Own the full serving stack for multimodal models across thousands of GPUs, spending 50%+ time as IC on architecture, optimization, and debugging while growing the team and setting technical direction.

Lead West Coast sales for frontier creative AI technology, owning full-cycle enterprise deals with brands and agencies while hiring and managing a team of 5+ AEs. Requires 8+ years sales experience and 3+ years management experience.

Principal-level Product Manager bridging frontier multimodal AI research and product development at Luma. Owns research-to-product strategy, builds prototypes, interprets evaluations, and shapes priorities for Canvas, Agents, and model platform.

Own product strategy and roadmap for AI-powered creative tools. Drive feature development, user research, and analytics for photo/video workflows used by professional creators.

Own end-to-end creation of high-volume short-form video content across X, TikTok, Instagram, and YouTube. Translate multimodal AI research into viral, visually stunning social assets while building a global creator community.

Senior Video Editor crafting cinematic launch assets and brand campaigns for multimodal AI products. Owns end-to-end editing, sound design, and motion graphics in a high-velocity environment.

Define and execute GTM strategy and product launches for Luma's multimodal AI tools targeting creators, brands, and studios. Requires 5+ years in product marketing or GTM, strong narrative skills, and experience building strategies from scratch.

Work as a fullstack applied researcher adapting multimodal video foundation models for production. Focus on controllability, personalization, and end-user quality using SFT, RL, and data-driven refinement.

Lead East Coast sales for frontier creative AI technology, owning full-cycle enterprise deals and building a team of 5+ Account Executives. Requires 8+ years sales experience and 3+ years management experience.

Lead global compute strategy and platform operations for frontier AI/robotics training at Luma. Own multi-year capacity planning, vendor partnerships, megawatt-scale capital deployment, and infrastructure leadership for 10k+ accelerator fleets.

Luma is seeking founding Enterprise Account Executives to define their go-to-market motion. This role involves owning the full sales cycle, generating pipeline, and guiding large enterprise companies through the adoption of Luma's AI platform.

Luma is seeking a senior Product Manager to define and build enterprise AI products from the ground up. This role involves translating multimodal model capabilities into commercial solutions, driving cross-functional execution, and engaging directly with enterprise customers in marketing, advertising, and entertainment verticals.

As a Simulation Researcher/Engineer, you will design and build simulation environments for training general-purpose robot policies. This role involves working with generative models and classical physics simulation, developing differentiable pipelines, and driving asset generation.

As a Research Scientist on the World Models team, you will invent next-generation world model architectures with a focus on controllability and physical consistency, develop controllability mechanisms, and define and own metrics for physical fidelity and action-following.

As the founding Robotics Engineer, you will be responsible for bringing up and operating commercial robot platforms, integrating sensors and data pipelines, and running experiments to evaluate world models in the real world.

Forward Deployed Engineers embed with customers to define problems and build production systems using Luma's AI models and APIs. They own projects end-to-end, from initial conversations to deployed solutions with real data.

Visual Designer elevates product visual quality through audits, improvements in typography/color/iconography, builds scalable Figma design systems, and implements live versions using AI tools like Cursor. Requires 5+ years UI/visual design experience, strong craft portfolio, and systems thinking for desktop-first creative tools.

Builds and optimizes contract lifecycle management processes using Ironclad at an AI company, handling administration, audits, reporting, and cross-functional coordination to accelerate business operations. Requires 2+ years experience and hands-on Ironclad expertise.

Owns product-led growth strategy end-to-end, driving acquisition, activation, retention, and revenue through high-impact experiments, scalable loops, and cross-functional collaboration. Requires 4-6+ years in growth PM with PLG expertise and experimentation mindset.

Convert inbound leads into closed revenue by managing full sales cycles for smaller, high-velocity deals in a fast-paced AI startup. Requires 1-3+ years of full-cycle closing experience, extreme ownership, and tech sales track record.

Builds and trains large-scale multimodal agentic models involving reasoning, planning, coding, and tool calling. Requires strong ML foundations, PyTorch expertise, and experience with distributed training on massive datasets.

Owns full sales cycle for Luma's AI platform from prospecting to close, building early revenue engine and shaping sales playbook. Requires 8+ years closing sales experience, preferably in SaaS/AI/developer tools, with startup mindset.

Conducts core research on multimodal foundation models for world-simulations, bridging modeling, data, systems, and evaluation. Requires advanced degree in CS/ML, first-principles scaling intuition, and experience with large-scale GPU training.

Leads infrastructure reliability for large-scale GPU clusters, architects systems for training/inference scaling, and builds a high-performing engineering team. Requires deep Linux/distributed systems expertise, GPU production experience, and Kubernetes fluency.

Lead design and implementation of security foundations including access governance, RBAC/ABAC, secrets management, and agent permissions for AI platforms. Partner with teams to embed secure practices while maintaining velocity; requires hands-on coding and production security experience.

Software engineers build and ship product features using AI coding agents, owning outcomes end-to-end across frontend, backend, and systems. Requires bachelor's in CS or equivalent, 3+ years experience or exceptional accomplishments, and strong programming in Python, TypeScript, Go, or Java.

Directs AI coding agents to build and scale production systems in a multimodal AI lab, setting technical direction, making high-stakes tradeoffs, and co-owning product decisions. Requires 8+ years experience, deep judgment in systems or product, and proven AI tool usage for real outcomes.

Develops and optimizes inference engines for multimodal AI models, integrating new architectures, building scheduling systems, and managing large-scale GPU deployments. Requires strong Python, model serving frameworks like PyTorch/vLLM, and Kubernetes expertise.

Owns end-to-end design of AI-native product features, from concept to shipped prototypes using AI tools. Requires strong generalist skills in visual/interaction design, AI integration in workflow, and shipping production work with impeccable craft.

Builds, maintains, and scales multi-cloud GPU infrastructure for AI training/inference, focusing on reliability, performance tuning, automation, and security in a fast-paced startup. Requires 8+ years SRE experience with deep Linux, cloud, and high-performance networking expertise.

Designs and scales infrastructure for evaluating multimodal generative AI models, including pipelines, metrics, and integration into training loops. Requires 5+ years in ML evaluation systems, expertise in visual data, Python, and ML frameworks like PyTorch.

Builds foundational ML platform infrastructure including model serving pipelines, GPU scheduling systems, and CI/CD for large-scale multimodal AI models. Requires 5+ years in distributed systems with expertise in Python, Kubernetes, and AWS.

Develops controllability, personalization, and productization for video foundation models using fine-tuning, RL, and evaluation techniques. Requires deep expertise in visual generative models, PyTorch, and product-focused research for creative workflows.

Builds and optimizes distributed training infrastructure for large-scale multimodal AI models across thousands of GPUs. Requires deep expertise in PyTorch, CUDA, parallelization techniques, and GPU clusters.