Industry
A map of the Generative AI industry — the stack it's built on and the roles that run it
The Generative AI stack
Five layers, from the apps people touch down to the chips everything runs on.
Application
Most gen-media roles live hereEnd-user products and experiences built on top of AI models — creative tools, copilots, and generative-media apps.
Orchestration
The frameworks, agents, and tooling that coordinate models, data, and workflows — RAG, agent frameworks, and production pipelines like ComfyUI.
Foundation models
The large pretrained generative models themselves — diffusion, LLMs, and video/3D models — built by frontier labs and model providers.
Cloud
The compute platforms and infrastructure that train and serve models at scale — hyperscalers, GPU clouds, and inference providers.
Semiconductors
The chips — GPUs and AI accelerators — that everything else runs on. The physical foundation of the entire stack.
Role categories
Most gen-media companies build at the Application layer — and hire across these six kinds of roles. Pick one to browse its tracked jobs.
Research
Scientists and research engineers inventing and training new generative models and pushing the state of the art.
Engineering
Software, ML, and infrastructure engineers who build and ship the systems around the models and run them at scale.
Product
Product managers, designers, and creative directors who shape what gets built and how it looks and feels.
Go To Market
Sales, partnerships, solutions, and developer relations that drive adoption and revenue.
Marketing
Growth, brand, content, and social teams that build awareness and demand for generative-media products.
User
Customer success, support, community, operations, and trust & safety — the roles closest to the end user.