Jobs at Luma AI

Build Luma's social engine from scratch: edit, concept, and execute high-craft short-form video across major platforms; produce a high volume of trend-driven content; translate research into engaging assets; grow a global creator community and monitor trends to keep Luma culturally relevant.

Lead end-to-end editing, pacing, and narrative for major product launch videos and brand campaigns. Combine cinematic editing, advanced motion graphics, typography, and narrative-driven sound design. Translate raw model outputs into polished, emotionally resonant assets, iterate rapidly under tight timelines, and establish scalable creative workflows alongside motion designers and researchers.

Lead and scale Luma's West Coast sales presence by owning full enterprise sales cycles, hiring and coaching a team of 5+ AEs, building pipeline with brands and agencies, translating creative AI value to marketing teams, and partnering with product/marketing/customer success to refine go-to-market playbooks.

Act as a creative strategist for top brands using generative AI, designing workflows, and producing high-craft content while educating the creative community.

As a Robotics Engineer, you'll operate and test robot platforms, integrate sensors, manage data pipelines, and debug issues to improve model evaluation.

As a Simulation Researcher/Engineer, you'll design simulation environments, build evaluation harnesses, develop simulation pipelines, and collaborate on generative models.

The Social Media Manager will develop and execute a social media strategy for Luma's multimodal AI, creating impactful content and community growth across platforms. This role requires building a presence from scratch and driving engagement with creative professionals and AI enthusiasts.

As an Account Executive, you'll build Luma's revenue engine, manage the sales cycle, and engage clients in the AI sector.

Own and scale GTM operations: manage CRM and GTM tech stack, lead systems implementations and process improvements, build forecasting and revenue dashboards, design lead routing and handoffs, support territory/quota/compensation planning, ensure data integrity, and identify AI-driven productivity improvements.

Bridge frontier multimodal research and product by shaping research priorities, interpreting evaluations, building prototypes, and defining research-to-product handoffs across Canvas, Agents, and the model platform to deliver enterprise-facing features.

Lead end-to-end product strategy for Luma's creative photo and video tools. Drive roadmap, launches, A/B testing, analytics, and user research with professional creators. Partner with research, engineering, design, and marketing to integrate AI features and grow active user engagement.

Work across modeling, data, systems, and evaluation to make video foundation models expressive, controllable, and personalized. Build adaptation and personalization pipelines, define end-user quality metrics and evaluations, and collaborate with product and design to deploy production-ready model variants for creative partners.

Define and execute GTM strategy for Luma's multimodal AI. Craft positioning and narratives, establish brand/agency/studio partnerships, collaborate with Product/Design/Research, own product launches, and build scalable marketing systems and collateral.

Build and maintain user-facing features using React and TypeScript, collaborate with teams on growth experiments, and improve frontend architecture.

Forward Deployed Engineers at Luma build systems based on customer workflows, defining problems and delivering production solutions using Luma's models and APIs.

As an ML Engineer at Luma AI, you will design high-performance model serving pipelines, manage GPU resources, and optimize CI/CD for large-scale AI systems.

Luma AI seeks high agency talent for various roles across research, product engineering, marketing, and strategy. Ideal candidates are innovative, detail-oriented, and proactive in showcasing their work and achievements.

As a Software Engineer in Reliability, you'll architect and manage multi-cloud GPU infrastructure, ensuring performance, security, and scale while debugging complex hardware/software issues.

The ML Engineer will integrate model architectures, optimize deployment workflows, maintain CI/CD pipelines, and ensure reliability of inference services across large-scale systems.

Manage technical programs for generative AI video models, translating research into milestones, coordinating teams, and ensuring successful execution across all phases.