Jobs at Luma AI

Oversee models and analyses to inform business decisions, build financial models, monitor unit economics, and manage reporting for strategic growth.

As a Senior Revenue Accountant, you'll ensure compliance with ASC 606, manage revenue operations for subscriptions and AI agents, and collaborate with various departments to handle complex deals and enhance financial processes.

As a Senior Financial Analyst, you will architect global payroll processes, ensure compliance, optimize payroll systems, and analyze data insights for strategic decision-making.

The Growth Product Manager will drive product-led growth strategies, focusing on user acquisition, retention, revenue optimization, and A/B testing while collaborating across teams.

As a Customer Success Representative at Luma, you will manage customer relationships, provide feedback to teams, and develop success processes.

The Senior Customer Success Manager is responsible for managing a portfolio of enterprise customers, driving platform adoption and growth, and collaborating with stakeholders to develop effective account strategies.

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.

The role involves refining and personalizing Luma's multimodal AI models, improving their controllability and adaptability for creative workflows, while collaborating with cross-functional teams.

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

The Data Reliability Engineer will enhance the resilience and scalability of data infrastructure, focusing on automation and reliability. Responsibilities include managing data pipelines, operating Kubernetes clusters, and defining observability standards.

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

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 role focuses on refining Luma's foundation models for better controllability and personalization while collaborating across research, product, and design teams.

As a Technical Artist, you'll bridge research and application by architecting pipelines, fine-tuning models, and ensuring high aesthetic quality, collaborating closely with design and research teams.

Seeking a Research Scientist/Engineer to design and optimize distributed training systems for large-scale multimodal AI models using thousands of GPUs.

The Research Engineer will design scalable evaluation systems for multimodal generative AI models, integrating metrics and automated pipelines for model assessment and improvement.

The role involves using AI tools to rapidly develop software, working across product and engineering teams, and owning software projects end-to-end.