Luma AI
AI Frontier · Video generation
- Website
- lumalabs.ai
Currently tracking 11 active AI roles, down 74% versus the prior 4 weeks. Primary focus: Ship · Engineering.
Luma AI currently has nine active AI-related job listings. The application stage dominates hiring, accounting for 44% of roles, followed by data roles at 22%. Engineering is the most frequent function, with research and product also represented. The company is hiring across the United States, Singapore, and the United Kingdom. Frequent tech tags include multimodal, model serving, and vision, suggesting a focus on visual AI capabilities. Over the last 30 days, Luma AI has added eight new AI roles, representing a 300% increase compared to the prior 30-day period.
AI Frontier · Video generation
Luma AI currently has 11 active AI-related roles in our index. The most common open titles are: Head of Global Compute Supply & Platform Strategy, Research Scientist - World Model, Applied Research Scientist / Engineer, Creative Technologist, Forward Deployed Engineer. Most positions are in Engineering and Research.
Luma AI's active AI hiring is concentrated in: application (45%), serving infrastructure (18%), data (18%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Luma AI is hiring AI talent in: United States (10 roles), Singapore (3 roles), United Kingdom (2 roles).
Job postings at Luma AI most frequently mention: Simulation, Robotics Simulation, Robotics, Generative AI, Computer Vision.
In the past 30 days, Luma AI has posted 5 new AI-related roles. That is a -29% change versus the prior 30 days (7 → 5).
| Title | Stage | AI score |
|---|---|---|
| Research Scientist - World Model Research Scientist focused on inventing and developing next-generation world model architectures for generative video, emphasizing controllability, physical consistency, and embodied reasoning. The role involves defining metrics, running scaling studies, and publishing/open-sourcing frontier research. | PretrainAgent | 10 |
| Tech Lead Manager, Inference Tech Lead Manager for the inference platform team at Luma AI. This role is hands-on, requiring at least 50% individual contribution to designing, building, and debugging the serving stack. Responsibilities include leading and growing the team, setting technical direction, and partnering across research, product, and infrastructure. The team owns the entire serving stack, from request routing to fleet-wide orchestration across thousands of GPUs, aiming to maximize efficiency and reliability while enabling rapid research iteration. The role also involves managing SLOs, economics, and optimizing inference workloads across heterogeneous fleets. | ServeAgent | 9 |
| Forward Deployed Engineer (Copy) This role focuses on deploying and integrating Luma AI's multimodal models into customer workflows, acting as a bridge between R&D and end-users. The Forward Deployed Engineer will define problems, build production systems using Luma's APIs and models, and own projects end-to-end, ensuring customer adoption and providing feedback for product development. | Ship | 9 |
| Applied Research Scientist / Engineer Luma AI is seeking an Applied Research Scientist/Engineer to refine, personalize, and build the final capabilities and control interface of their multimodal foundation models, focusing on video. The role involves adapting and deploying models to production, working across modeling, data, systems, and evaluation to improve expressiveness, controllability, and personalization for creative workflows. This position sits at the intersection of research, product, and partnerships, aiming to bridge the gap between state-of-the-art and production-ready AI. | Post-trainAgent | 9 |
| Head of Global Compute Supply & Platform Strategy Head of Global Compute Supply & Platform Strategy for a robotics foundation model company. This role is responsible for the end-to-end global compute footprint, including capacity strategy, capital allocation, and systems architecture. The goal is to design a scaling roadmap to ensure research and robotics teams have the necessary compute resources to ship frontier world models. The role involves leading infrastructure, distributed systems, and datacenter operations teams, maximizing fleet utilization, managing large capital budgets, and serving as the primary interface with compute vendors. | ServePretrain | 8 |
| Product Manager, Enterprise Product Manager for Enterprise at Luma AI, focusing on building and shipping enterprise AI products, particularly agentic and multimodal solutions, for marketing, advertising, and entertainment verticals. This role requires a strong understanding of AI/ML capabilities, a general manager mindset, and the ability to translate frontier model capabilities into commercially viable solutions. | ShipAgent | 8 |
| Simulation Researcher/Engineer Luma AI is seeking a Simulation Researcher/Engineer to design and build simulation environments for training general-purpose robot policies. This role involves integrating generative models with physics simulation, developing evaluation harnesses, and driving asset/scene generation pipelines. The ideal candidate has a strong background in robotics simulation, computer graphics, or physics-based modeling, with fluency in Python and C++. | DataEval Gate | 8 |
| Robotics Engineer Founding Robotics Engineer to set up and operate robot platforms for model evaluation and data collection, owning the data pipeline from robot to training, and building test rigs for model improvement. | DataEval Gate | 8 |
| Forward Deployed Engineer Forward Deployed Engineer role focused on taking Luma AI's multimodal models and building production systems for customers, owning the entire lifecycle from understanding customer needs to shipping and maintaining the solution. This role requires strong software engineering skills, customer empathy, and the ability to work across the stack to solve problems in real-world environments. | Ship | 8 |
| Creative Technologist Creative Technologist role focused on building end-to-end production workflows using generative AI for image and video, translating customer briefs into prototypes, and pressure-testing new models and features. Requires hands-on experience with generative AI tools and APIs, and a background in creative industries like brands, agencies, or film production. | ShipPost-train | 7 |
| Product Manager, Core Product Product Manager for Luma AI's core product, focusing on consumer-facing creative tools powered by multimodal AI. The role involves defining product strategy, launching features, driving user adoption, and collaborating with research and engineering teams to integrate generative and automation technologies. | ShipAgent | 7 |
| Social Media Editor This role is for a Social Media Editor at Luma AI, a company focused on multimodal AI. The editor will be responsible for creating and executing social media content, translating complex AI research into engaging assets, and building a community around Luma's technology. The role requires strong video editing skills, a deep understanding of social platforms, and the ability to work in a fast-paced startup environment. While the company works with AI, this role is focused on content creation and community building, not direct AI/ML development. | — | 5 |
| Senior Video Editor Luma AI is building multimodal AI foundation models for systems that can see and understand. This Senior Video Editor role will craft cinematic launch assets to introduce these models to creators worldwide, focusing on turning raw model outputs into compelling visual stories. The role involves end-to-end video editing, sound design, motion graphics, and establishing creative workflows. | — | 5 |
| Product Marketing Manager Product Marketing Manager to define and execute the go-to-market strategy for Luma AI's multimodal foundation models, targeting creators, brands, and studios. This role involves building GTM playbooks from scratch, crafting narratives, establishing partnerships, and driving market adoption of AI-powered creative tools. | — | 5 |
| Senior Customer Success Manager - Germany Senior Customer Success Manager for Luma AI, focusing on driving platform adoption and expansion within enterprise accounts in Germany. This role involves managing a portfolio of strategic accounts, identifying growth opportunities, interpreting usage data, and partnering with product/engineering teams to unlock new use cases. Requires experience in account management, enterprise sales, or commercial customer success within SaaS, AI, or enterprise technology, with a strong commercial mindset and data-driven decision-making skills. | — | 5 |
| Revenue Operations Lead Luma AI is seeking a Revenue Operations Lead to optimize and scale their go-to-market operations. This role will focus on managing the GTM technology stack, improving processes, building reporting infrastructure, and partnering with GTM leadership to drive revenue growth. The ideal candidate will have experience in RevOps, strong analytical skills, and familiarity with modern AI tools to enhance productivity and decision-making. | — | 5 |
| Sales Manager Sales Manager for a creative AI technology company, responsible for leading the East Coast sales presence, managing a team, and driving revenue from strategic accounts. This is a foundational, 0-to-1 role focused on scaling the market and refining the go-to-market strategy. | — | 5 |
| Enterprise Account Executive Founding Enterprise Account Executive for an AI platform, responsible for owning the full sales cycle from prospecting to closed deals, guiding enterprise clients on AI transformation, and providing feedback on messaging and positioning. | — | 5 |
| Visual Designer, Product Visual Designer for a multimodal AI company, focusing on elevating product visual design, building and owning the design system, and using AI coding tools to bring the design system to life. The role requires a strong point of view on visual quality and the ability to ship exceptional product experiences. | — | 5 |
| Creative Community Lead Luma AI is seeking a Creative Community Lead to own and grow its creator community, cultivating relationships with creative professionals and creators. The role involves building and nurturing a high-trust ecosystem, supporting creators, and collaborating with marketing, product, and events teams to activate campaigns and launches. The ideal candidate is a strong relationship-builder with empathy for creative workflows and experience leading creator communities. | — | 0 |
| Executive Assistant, GTM Executive Assistant supporting Head of Marketing and Head of Sales at Luma AI, a creative AI company. This role focuses on designing and executing the operational backbone for GTM leadership, managing complex logistics, calendars, and building administrative processes from scratch. Requires 5+ years of EA experience, startup DNA, and high agency. | — | 0 |
| Product Manager, Applied Research | — | — |
| Sales Manager (Copy) | — | — |
| Contracts Specialist | — | — |
| Strategic Customer Success - EMEA (Copy) | — | — |
| Product Manager - Growth | — | — |
| Sales Development Representative | — | — |
| Talent Brand Partner | — | — |
| Social Media Manager | — | — |
| Enterprise Account Executive [New York, NY] | — | — |
| Enterprise Account Executive [SF Bay Area] | — | — |
| Research Scientist / Engineer — Multimodal Agent | — | — |
| Strategic Customer Success - EMEA | — | — |
| Strategic Finance | — | — |
| Enterprise Account Executive | — | — |
| Research Scientist / Engineer – Foundation Model: Core Research | — | — |
| Lead Infrastructure and Reliability Engineer (Systems & Scale) | — | — |
| Security Engineer - Tech Lead | — | — |
| Software Engineer - Product | — | — |
| Staff Software Engineer, Product | — | — |
| Sales Executive [KSA] | — | — |
| Sales Executive | — | — |
| Forward Deployed Creative [Germany] | — | — |
| Software Engineer, Inference | — | — |
| Sales Executive (UK) | — | — |
| Forward Deployed Creative [US] | — | — |
| Product Designer | — | — |
| Software Engineer - Reliability | — | — |
| Software Engineer, ML Platform | — | — |
| Research Scientist / Engineer – Training Infrastructure | — | — |